Register and get free Certificate for the course: glacad.me/39N7pOi 🔹 Topics Covered: 00:00:00 - Agenda - 00:03:58 - Introduction to Python and Anaconda 01:07:05 - Introduction to Pandas and Data Manipulation 04:42:32 - Introduction to Numpy and Numerical Computing 05:10:58 - Data Visualization 06:06:12 - Statistics vs Machine Learning 06:12:44 - Types of Statistics 07:54:39 - Understanding Data 07:58:19 - What is Reinforcement Learning? 08:53:46 - Reinforcement Learning Framework 09:24:58 - Q-Learning 09:51:08 - Case Study on Smart Taxi
Started this video casually. And got stuck to it for 2+ hours. Eventually gonna finish the whole. Important course, great information, smoothly explained. Raghu Raman👍
This is awesome. There's absolutely no way I'm going to watch this right now, but it's great to see this quantity and quality of information posted for public benefit. I'm subscribing and sharing.
Great introduction. Just one point at 2:02:30 Tuple for single column is passed in wrong way and thats why it returned data series. It should be df.loc[:,("START*",) instead of df.loc[:,("START*") to get the dataframe. As in Pyhton () brackets are used for expressions or for functions. (2+3) will be evaluated into 5 and ("START*") will be evaluated into string "START*" and thus when there is single element in a TUPLE it must be represented with comma at the end.
Great session !!!! One Suggestion!!! 3:43:15 : As you said, we can't remove index from DataFrame. No, we can remove index from DataFrame. Try below solution. res = res.reset_index(inplace = True, index = False) 3:44:98 : df.to_csv("op.csv", index=False)
Hi, @danda, thank you for your feedback, we appreciate it. We may miss out somethings, due to time constrain but we try to deliver as correct information as we can. We hope you learn from this video, do subscribe and keep supporting. Thank You
Hi @Deepika, we are glad you liked our video. And also, you will not face any difficulties if you enroll yourself on our website for free courses along with the certification, here is the link: glacad.me/FreeCourses_1000Hours. Thank You and do subscribe to watch more videos like these.
I did wonder how tf they managed to make it 10 hours but turns out it was a complete beginner python course with introduction to all the frameworks needed. Nice!
Thank you Great Learning , this course has created my interest in data science and made me confident to choose data science as a new career after a big gap of 15 years. Thank you very much for providing the resources as well. For me I will say Great Learning is a trusted source and it has saved a lot of money i was planning to spend on the course from other institute.
Hey! All the material related to this course, including code and datasets, and more content can be found here, by clicking on this link: www.greatlearning.in/academy/learn-for-free/courses/machine-learning-with-python It is a good way to get a headstart in Machine Learning. Happy learning :)
Thank You! glad you like it If you want to also do assessments and projects along with learning the course please visit and enroll for the free course here: glacad.me/GLA_ml_python If you complete the courses and the assessments here you will also get a certificate of completion.
thnku so... soo sooo mch raghu raman sir u explain these things in a simplest way before i watch ur video im not able to understand a single thing in python with machine learning .. 🤗🤗🤗🤗
Problem-: English Language Solution-: Make it in hindi like python tutorial 🙏🙏🙏🙏🙏🙏 Plz.. available this course in HINDI if you know hindi and you are true Indian. Most of the government school students don't know english language. So do only one thing for our bright future.
Hey, Your request has been noted. We are working on creating a lot more content for learners like you. Meanwhile, do not forget to subscribe to our channel so that you get notified whenever we upload a new tutorial.
Please @GreatLearning Channel don't delete any of your videos they are really beneficial for us!!!!! We're very happy being taught by you. You're the best!
Big Kudos to making all this available, Raghu Raman you are a good teacher. I would however like to point out that the interpretation of boxplots that you describe is incorrect : (6:02:19-6:05:30), the vertical dimensions of the boxes says nothing about the amount of data , only says something about the shape of the distribution and the inter quartile spread.
Excellent Teaching. I truly learnt a lot and used it to teach some of my students also. They managed to go back and forth to view difficult sections of the video several times and learn better. Good on you..............
2:50:40 For getting all three condition we can do this Df["New_Colm] = np.where(df["MILES*"]>10,"LONG_TRIP",np.where(df["MILES*].between(5,10, inclusive=True),"Medium Trip","Short Trip"))
Gad you like it! Hey, If you want to also do assessments and projects along with learning the course please visit and enroll for the free course here: glacad.me/GLA_ml_python If you complete the courses and the assessments here you will also get a certificate of completion.
Hi, thank you so much. We are glad you found this video helpful. we have created a new platform called GL Academy for learners like you. It is a much more interactive platform, where the course is supplemented with course materials like data-sets, quizzes and projects and also a course completion certificate, all for Free. Register here: www.greatlearning.in/academy/
Siddharth Sankhe, Director, Consumer Insights, Nielsen talks about magnifying customer connections on Engati CX. He says that with the on going pandemic the economy has shrunk this is where CX comes into play and it will a very big and an important differentiator.
First I would like to say thanks to greatlearning team for providing this kind of programs. So we can learn so much from this. In lockdown period we can improve our skills. Teaching is too gud.
We are glad you found our video helpful. If you want to also do assessments and projects along with learning the course please visit and enroll for the free course here: www.greatlearning.in/academy/learn-for-free/courses/python-for-machine-learning If you complete the courses and the assessments here you will also get a certificate of completion. Hope this is helpful.
First of all thanks to "Great Learning" for sharing this kind of programs. Such a lovely channel to learn new things, main thing is I can come back and forth for more understanding. Salute & Merci beaucoup for your efforts...
Our aim is to present people with quality educational content and we are happy that people are appreciating it. You can also browse through our existing catalog of courses on the link given below. Link: glacad.me/3duVMLE
That's a fantastic video, i don't watched full but the way he taught is absolutely amazing. It will very beneficial if the videos are of 1 hour length and divided in playlist so that if a person don't have enough data balance can download one chunk at a time. It is very difficult to watch the video of this length at a time.
Learn Artificial Intelligence from leading experts and attain a Dual Certificate on AI and Machine Learning from the world-renowned universities. Take the step towards your professional growth by obtaining expertise in the real-world application of the latest technological tools of AI. Over 500+ Hiring Partners & 8000+ career transitions over varied domains. Know More: glacad.me/3qSjmt0
Please can you provide a simple link to download learning material i'm unable to download it from your Great Learning Website even though i have a good internet. It really spoiled my learning i was enjoying until this happened
I completed the video on RUclips but when i click on link of yours and go to the site for certificate its saying i have to watch the whole content ,which i already did it on RUclips . Help me out regarding this please..
This is a great video to learn from. I have learnt a lot. By then I do not have any programming knowledge but now I am learning a lot. Thank to great learning academy
Hi, we are glad that you liked this video. Every day we release such informative videos. Do subscribe and check our videos and we hope you will learn a lot from them. Thank you:)
Thanks ! foe excellent teaching , at 4.58.24 : I think ,Zero dimension in geometry is a point. Zero dimension in a field is a scalar (any number- a value) one dimension is a vector(magnitude and direction).2 dimension is a surface, 3dimension is a volume and matrix -array _multi dimension is a field ( no of components )
Thanks a lot! We are glad you had a great learning experience. Do show us your support by Subscribing to our channel for more high quality tutorials. :)
@@greatlearning hello this video is awsome but is this enough for a beginner and does it covers lla the basics for machine learning with python required for data science Please please reply
I learn alot from this video This video is informative. I request you to please provide a video on full example of how machine learning model trained and work actually or hoq to implement it?🙏🙏 Thanks for providing this video Keep it up sir👏👏👏👏
We are glad you found our video helpful. If you want to also do assessments and projects along with learning the course please visit and enroll for the free course here: glacad.me/GLA_ml_python If you complete the courses and the assessments here you will also get a certificate of completion.
The camera should focus more on the code than the instructor showing the code... Becuz for a person learning from your videos it is more helpful to see only the codes and listen to what the instructor is saying. However thank you for sharing this video to all.
I have just completed the video. It was a great experience for me to learn topics from such well-known speakers. Thank you, Great Learning, for allowing us to learn machine learning from these persons freely. However, I am having a problem right now. After completing the video, when I go to the website for claiming the certificate, the website asks me to complete the learning videos. Please help me.
2:01:32 ***minor correction*** there, sir ( "START*" ) is string that's why it is showing output as Series, but if you'll pass it as ( "START*", ) i.e. 'tuple' then it will output as Dataframe... Feel free to correct me guys... If i'm on the wrong track. Anyways this tutorial is awesome... Thanks in advance...
Hey, If you want to also do assessments and projects along with learning the course please visit and enroll for the free course here: glacad.me/GLA_ml_python If you complete the courses and the assessments here you will also get a certificate of completion.
Hi Op, my question is regarding the challenge of dealing with datasets in my project . The feature set contains about 40 columns from merging10 csv files to train my model. But the test dataset contains just 2 columns including the target column. So each time I try to make classification on the target column I get a failure notice telling me that my training and test shape are not the same. How can I make my model to make prediction based on the test dataset given to me? Or how can I adapt my test dataset to conform to the training dataset in shape in order to run my program?
His, these lecture is just amazing and share with everyone 😀 Actually when I have install anaconda I am not able to find a zip file to extract, can u please tell me how to find zip file?
Thanks to Great learning for sharing this learning. This is really useful and amazing. Thanks to Sir for your such a great explanation with examples. I am a fan of all data science videos from Great learning 👍
@2:03:45 The instructor says "I have never seen anybody using Tuple".. This is misleading and incorrect, because Tuples has its own set of use-cases/scenarios.. For example: Image recognition Tuples is light in terms of memory hence its efficient over lists in scenarios where there are big data...
Using python:((in the same directory that your python process is based) import pandas as PD data = pd.read_csv("filename.csv") Using R: read.csv("Path where your CSV file is located on your computer\\File Name.csv") We hope this answers your question:)
@@greatlearning I am not getting it.. My question was on the instructor's view on Tuple as a data-structure against Lists. I observed Tuple's advantages over lists in terms of computational speed (in several use-cases) is not highlighted..
At 2:04:25 Sir if we take ("1") it's not a tuple So that's why it giving you series data . For single element we have to keep comma(,) like ("1",) then it takes as tuple
Hey, If you want to also do assessments and projects along with learning the course please visit and enroll for the free course here: glacad.me/GLA_ml_python If you complete the courses and the assessments here you will also get a certificate of completion.
sir, I really want to touch your feet .thank you so much. this is amazing content that you provide us. where everything is crisp and clear .anyone can learn machine learning(which seems to be a heavy topic )but you made it simple and easy to understand .thank you so much once again and keep it up all the very best 👍✌😊
Thanks a lot. We are glad you found our video helpful. Comments like these make our day. :) Do subscribe to our channel so that you get notified whenever we upload a new tutorial.
what is TinyML, this has been a buzzword, i learned from web that its being used these days to convert low powered micontroller based sensor enabled ICs to perform wonders, the capability which was never thought of ....also that this would be very much prevalent in neaar future and a leading market segment under the application of AI ML umbrella.... Kindly arrange for a session on that!
Register and get free Certificate for the course: glacad.me/39N7pOi
🔹 Topics Covered:
00:00:00 - Agenda -
00:03:58 - Introduction to Python and Anaconda
01:07:05 - Introduction to Pandas and Data Manipulation
04:42:32 - Introduction to Numpy and Numerical Computing
05:10:58 - Data Visualization
06:06:12 - Statistics vs Machine Learning
06:12:44 - Types of Statistics
07:54:39 - Understanding Data
07:58:19 - What is Reinforcement Learning?
08:53:46 - Reinforcement Learning Framework
09:24:58 - Q-Learning
09:51:08 - Case Study on Smart Taxi
thank brother
-Agenda - 0:00
-Introduction to Python and Anaconda - 3:58
-Introduction to Pandas and Data Manipulation - 1:07:05
-Introduction to Numpy and Numerical Computing - 4:42:32
-Data Visualization - 5:10:58
-Statistics vs Machine Learning - 6:06:12
-Types of Statistics - 6:12:44
-Understanding Data - 7:54:39
-What is Reinforcement Learning? - 7:58:19
-Reinforcement Learning Framework - 8:53:46
-Q-Learning - 9:24:58
-Case Study on Smart Taxi - 9:51:08
thank you..!
Thanks ❤️
Thank u
Thanks...🙏🙏🙏
thanx
Started this video casually. And got stuck to it for 2+ hours. Eventually gonna finish the whole.
Important course, great information, smoothly explained.
Raghu Raman👍
This is awesome. There's absolutely no way I'm going to watch this right now, but it's great to see this quantity and quality of information posted for public benefit. I'm subscribing and sharing.
5:27:47 things which you are:
1. Aware and know
2. Aware and dont know yet
3. Not aware but you know
4. Not aware and dont know
Great introduction. Just one point at 2:02:30 Tuple for single column is passed in wrong way and thats why it returned data series. It should be df.loc[:,("START*",) instead of df.loc[:,("START*") to get the dataframe. As in Pyhton () brackets are used for expressions or for functions. (2+3) will be evaluated into 5 and ("START*") will be evaluated into string "START*" and thus when there is single element in a TUPLE it must be represented with comma at the end.
.
Great session !!!! One Suggestion!!!
3:43:15 : As you said, we can't remove index from DataFrame. No, we can remove index from DataFrame. Try below solution.
res = res.reset_index(inplace = True, index = False)
3:44:98 :
df.to_csv("op.csv", index=False)
Hi, @danda, thank you for your feedback, we appreciate it. We may miss out somethings, due to time constrain but we try to deliver as correct information as we can. We hope you learn from this video, do subscribe and keep supporting. Thank You
.
2:01:30 In python: ("string") is not a tuple, ("string",) is a tuple. Comma is must for tuple with single item
If there is a single any data type element within the parenthesis or without to make a tuple data type you must separate that single item with comma,
@@bsmaheshkumar5328 exactly, but in the video it was about String so I explained it that way.
Hi can we understand this video with zero python knowledge ? pls reply
ha!!!! finally completed 10hrs course in two days with picture clarity on machine learning thank you @Greatlearning for this course video
Thanks Mr RaghuRaman. You really covered the Basics as they should be. This is the way to cover the PG course on Python. Thanks a lot.
You’re welcome, we're glad we could help you😇 Make sure you subscribe to us and hit the bell icon to get notified about our amazing upcoming content.
Raghu is great, need more videos on machine learning
only 10 mins into the video, and really loving this. Thanks for sharing!!!!
Tysm Great Learning this is a golden opportunity for those who are unable to enroll
Hi @Deepika, we are glad you liked our video. And also, you will not face any difficulties if you enroll yourself on our website for free courses along with the certification, here is the link: glacad.me/FreeCourses_1000Hours. Thank You and do subscribe to watch more videos like these.
print([mylist[0],mylist[2],mylist[4]]) solution for the question 44:00 to 47:00
Actually i start learning this course right now.. it's amazing 😍.
Glad you liked it. Subscribe to our RUclips channel for more videos!
I did wonder how tf they managed to make it 10 hours but turns out it was a complete beginner python course with introduction to all the frameworks needed. Nice!
Assignment 3 :
conditions = [
(df["MILES*"] > 10),
((df["MILES*"] >=5 ) & (df["MILES*"]
Can you please specify more elaborately what you are asking. We will wait for your reply.
It's not Goldman socks .... its Goldman Sachs.. Instructors are awesome and will subscribe.
Thank you Great Learning , this course has created my interest in data science and made me confident to choose data science as a new career after a big gap of 15 years. Thank you very much for providing the resources as well. For me I will say Great Learning is a trusted source and it has saved a lot of money i was planning to spend on the course from other institute.
Hi! May I ask how that's been going for you?
@@indrajeetchouhan4655 Nop
Hi! Myself a ca with 30 yrs experience in finance accounting. Looking for career transition @55, is there any career after learning this as freelancer
I have learned python.. after that I have confused... How to start machine learning.... But.. it has given a starting point . Tq great learning....
Hey! All the material related to this course, including code and datasets, and more content can be found here, by clicking on this link: www.greatlearning.in/academy/learn-for-free/courses/machine-learning-with-python
It is a good way to get a headstart in Machine Learning. Happy learning :)
Thank you for providing Material sir....
the first teacher is Malayali it seems!! Very engaging session
Thank You! glad you like it
If you want to also do assessments and projects along with learning the course please visit and enroll for the free course here: glacad.me/GLA_ml_python
If you complete the courses and the assessments here you will also get a certificate of completion.
I just started for timepass and did not realize I spent 3 hours on it. Thanks Raghu.
This prof is fantastic. Perfect pace and well articulated for a beginner like me!
We are so glad that you feel this way!😇 Make sure you subscribe us and hit the bell icon to get notified about more such amazing content!
thnku so... soo sooo mch raghu raman sir u explain these things in a simplest way before i watch ur video im not able to understand a single thing in python with machine learning .. 🤗🤗🤗🤗
For data sets, code files and projects associated with course please enroll for free at: glacad.me/2MNrlYl
Problem-: English Language
Solution-: Make it in hindi like python
tutorial 🙏🙏🙏🙏🙏🙏
Plz.. available this course in HINDI if you know hindi and you are true Indian. Most of the government school students don't know english language. So do only one thing for our bright future.
Hey, Your request has been noted. We are working on creating a lot more content for learners like you. Meanwhile, do not forget to subscribe to our channel so that you get notified whenever we upload a new tutorial.
Raghu sir explanation is very easy to understand...
Please @GreatLearning Channel don't delete any of your videos they are really beneficial for us!!!!! We're very happy being taught by you. You're the best!
We are great that we got teacher like you and MODI like pm at India...
Santosh, you can check out our huge repository of free courses at great learning academy: www.greatlearning.in/academy#our-courses
Big Kudos to making all this available, Raghu Raman you are a good teacher. I would however like to point out that the interpretation of boxplots that you describe is incorrect : (6:02:19-6:05:30), the vertical dimensions of the boxes says nothing about the amount of data , only says something about the shape of the distribution and the inter quartile spread.
.
we desperately need these type of trainer ....
Excellent Teaching. I truly learnt a lot and used it to teach some of my students also. They managed to go back and forth to view difficult sections of the video several times and learn better.
Good on you..............
We love it that you love it.
@@greatlearning :) Please add supporting files so that one can understand and follow it well..
2:50:40
For getting all three condition we can do this
Df["New_Colm] = np.where(df["MILES*"]>10,"LONG_TRIP",np.where(df["MILES*].between(5,10, inclusive=True),"Medium Trip","Short Trip"))
Hey, thanks for your valuable inputs. Keep sharing your knowledge with your peers!
Thank you sir.for supported advance level to improve learning skill.
We are happy to help. Please do share the video and subscribe to our channel
is it necessasry to have a data science degree to become a data scientist?
From where you get that file for training
Excellent for a very nice nice video
WOW.. one of the best teacher i found !!
When I am listening your speech I feel very happy...
Gad you like it!
Hey, If you want to also do assessments and projects along with learning the course please visit and enroll for the free course here: glacad.me/GLA_ml_python
If you complete the courses and the assessments here you will also get a certificate of completion.
@2:01:30 ('Start*' ) is not a tuple
Single element tuple is ('Start*' , )
df.loc(:,('Start*',)) will return a df as it is only one element tuple.
Going to again watch this session 👌👌👌👌👌
Hi, and we hope you will like this session again and learn something new form this. Thank you:)
Whosoever wrote the transcript did a wonderful job spelling Python as bython and ML as emel....!!!
But great information and teaching for sure
Love from sri lanka ...btw change from great learning to great teaching🙂😂❤
Hi, thank you so much. We are glad you found this video helpful.
we have created a new platform called GL Academy for learners like you. It is a much more interactive platform, where the course is supplemented with course materials like data-sets, quizzes and projects and also a course completion certificate, all for Free. Register here: www.greatlearning.in/academy/
Siddharth Sankhe, Director, Consumer Insights, Nielsen talks about magnifying customer connections on Engati CX. He says that with the on going pandemic the economy has shrunk this is where CX comes into play and it will a very big and an important differentiator.
First I would like to say thanks to greatlearning team for providing this kind of programs. So we can learn so much from this. In lockdown period we can improve our skills. Teaching is too gud.
We are glad you found our video helpful. If you want to also do assessments and projects along with learning the course please visit and enroll for the free course here: www.greatlearning.in/academy/learn-for-free/courses/python-for-machine-learning
If you complete the courses and the assessments here you will also get a certificate of completion. Hope this is helpful.
At 2:01. It also takes { } ie as dictionary
First of all thanks to "Great Learning" for sharing this kind of programs. Such a lovely channel to learn new things, main thing is I can come back and forth for more understanding. Salute & Merci beaucoup for your efforts...
Our aim is to present people with quality educational content and we are happy that people are appreciating it. You can also browse through our existing catalog of courses on the link given below.
Link: glacad.me/3duVMLE
Watched about an hour and 30 mins. This one is really great to start with 👍
That's a fantastic video, i don't watched full but the way he taught is absolutely amazing. It will very beneficial if the videos are of 1 hour length and divided in playlist so that if a person don't have enough data balance can download one chunk at a time. It is very difficult to watch the video of this length at a time.
At 2:02:25, I think you should pass ("Start*",) so that it can become a tuple
Learn Artificial Intelligence from leading experts and attain a Dual Certificate on AI and Machine Learning from the world-renowned universities. Take the step towards your professional growth by obtaining expertise in the real-world application of the latest technological tools of AI. Over 500+ Hiring Partners & 8000+ career transitions over varied domains. Know More: glacad.me/3qSjmt0
Please can you provide a simple link to download learning material i'm unable to download it from your Great Learning Website even though i have a good internet. It really spoiled my learning i was enjoying until this happened
why i can cot download any material from the course? it's needed loading more to more
Please improve video quality
I want to learn how to join your class send details
I completed the video on RUclips but when i click on link of yours and go to the site for certificate its saying i have to watch the whole content ,which i already did it on RUclips . Help me out regarding this please..
Superb starting
Perfect teacher
Hi we are glad that you liked our Content Please do subscribe to our Channel for Similar & Awesome Content
Excellent! To get my doubts cleared i had referred 100's of videos and finally found a beautiful one....Thanks to team/faculties .
Hi @Raghu, we are glad to have your support with us. Do let your friends know about this video and help them to learn all these skills. Thank you:)
This is a great video to learn from. I have learnt a lot. By then I do not have any programming knowledge but now I am learning a lot. Thank to great learning academy
Thank you so much! We are glad you had a great learning experience. :)
Hats off 'Great learning'. They have excellent teachers.
Hi, we are glad that you liked this video. Every day we release such informative videos. Do subscribe and check our videos and we hope you will learn a lot from them. Thank you:)
Thanks ! foe excellent teaching , at 4.58.24 : I think ,Zero dimension in geometry is a point. Zero dimension in a field is a scalar (any number- a value) one dimension is a vector(magnitude and direction).2 dimension is a surface, 3dimension is a volume and matrix -array _multi dimension is a field ( no of components )
We are glad you found this tutorial upto the mark. Thank You for your useful insights. It is always appreciated. :)
Excellent I learnt it fully.your faculty is absolutely beautiful and full of exaggeration
how u get mls files
Glad to hear that! :)
Very well explained coverage. Thank you so much Sir🎉🎉🎉🎉
awesome faculty ,i learnt a lot about machine learning from great learning facult.strongly recommended
Thanks a lot! We are glad you had a great learning experience. Do show us your support by Subscribing to our channel for more high quality tutorials. :)
2:03:50 , I think tuples do not allow manipulation as in the case of list, and that might be the reason.
Yeah thought so too, lists are mutable but tuples and sets are immutable.
Most underrated channel
Mam, You are awesome,
I am really inspired by you to learn something and do something.
Hi, we are glad that our video inspired you in some or the other way. Do check out other videos as well for more learning experience. Thank You
@@greatlearning hello this video is awsome but is this enough for a beginner and does it covers lla the basics for machine learning with python required for data science
Please please reply
Its really nice the mentor explained super ..I I'll continue tomorrow also
I learn alot from this video
This video is informative.
I request you to please provide a video on full example of how machine learning model trained and work actually or hoq to implement it?🙏🙏
Thanks for providing this video
Keep it up sir👏👏👏👏
We are glad you found our video helpful.
If you want to also do assessments and projects along with learning the course please visit and enroll for the free course here: glacad.me/GLA_ml_python
If you complete the courses and the assessments here you will also get a certificate of completion.
Excellent teaching
Glad you think so!
🤩🤩👍🏻👍🏻👍🏻. It's just awesome .. Needed something like this
You're doing great job 😊😊
At 1:41:00 in that you were saying how come Islamabad is in US please observe, that data, it holds Cities of US and Pakistan both not just USA.
Hey yes, you are correct, thanks for letting us know.
*No human Error in this video* ❣️❤️
can tell me from which time data visualization starts???
Quality teaching...Fabulous
Glad we could help. Please do subscribe to our channel and click on the bell icon so that you get a notification of our new videos
This is the best tutorial on machine learning🤩. Can you please provide the answer of 2nd assignment after sorting of data?
The camera should focus more on the code than the instructor showing the code... Becuz for a person learning from your videos it is more helpful to see only the codes and listen to what the instructor is saying. However thank you for sharing this video to all.
I have just completed the video. It was a great experience for me to learn topics from such well-known speakers. Thank you, Great Learning, for allowing us to learn machine learning from these persons freely. However, I am having a problem right now. After completing the video, when I go to the website for claiming the certificate, the website asks me to complete the learning videos. Please help me.
how to download lms for python overview in jupyter
Same question tell me vro
2:47:56
df["LMS"] = np.where(df["MILES*"] > 10,"Long Trip",np.where(df["MILES*"]
We did not get your question. Can you please elaborate.
Thank you so much for this video. much needed. :)
Thank you Pranay, appreciation from learners is what we strive for.
Very good teaching. I am learning.
Which algorithm did you used for cancer prediction using ML?
Hey, logistic regression was used over here.
goldman Socks.. got new company Thanku.. :)
Much informative❣️...will recommend your videos to our students also.
Thank you so much. Comments like these make our day. :)
not alias, but instance of an imported library.
How easy is a switch from other technology to Data science or machine learning? Please add an video about this, it will be very useful for many.
Sure, we will work on the video
Please do it
2:01:32 ***minor correction*** there, sir ( "START*" ) is string that's why it is showing output as Series,
but if you'll pass it as ( "START*", ) i.e. 'tuple' then it will output as Dataframe...
Feel free to correct me guys... If i'm on the wrong track.
Anyways this tutorial is awesome... Thanks in advance...
Thank You for your feedback. We are glad you found this helpful!
I'm glad,I came across great learning!
Glad we could help. Please do subscribe to our channel and click on the bell icon so that you get a notification of our new videos
How to find datasets in chrome ?can you pls say it
the greatest course i had ever been
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@kushal subedi Hajur le sakkaunuvayo?
Tnq for the course ☺️ but I couldn't find any files in the site you mentioned in comment section. It'll be cool if you ping it on description.
www.greatlearning.in/academy/learn-for-free/courses/machine-learning-with-python
Hey, If you want to also do assessments and projects along with learning the course please visit and enroll for the free course here: glacad.me/GLA_ml_python
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Fantastic teacher he is👍😊
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Hi Op, my question is regarding the challenge of dealing with datasets in my project . The feature set contains about 40 columns from merging10 csv files to train my model. But the test dataset contains just 2 columns including the target column. So each time I try to make classification on the target column I get a failure notice telling me that my training and test shape are not the same.
How can I make my model to make prediction based on the test dataset given to me? Or how can I adapt my test dataset to conform to the training dataset in shape in order to run my program?
If there is 40 independent input, the testing also has to have 40 independent input. Your test dataset is wrong. Plz check
Excellent teaching!!!!!!!!
Thank you!
Thank you so much for the informative lectures, better than many college level courses. But how can we get an access to the notebooks?
Excellent thanks to great learning first impression is best impression on explanation awesome realistic 👍👌
His, these lecture is just amazing and share with everyone 😀
Actually when I have install anaconda I am not able to find a zip file to extract, can u please tell me how to find zip file?
You need to upload it in File tab. This will make it available in Jupiter.
@@at5517 okk thankx
@@at5517 how to get file to upload in file tab?
@@mayankrai8236 just download the required file from google with same exention
@@abhijeetshivachary4304 @Mayank Rai hy, I still cannot locate these files. do you guys have any link?
Big thanks to great learning team 🙏🙏
Thanks to Great learning for sharing this learning. This is really useful and amazing.
Thanks to Sir for your such a great explanation with examples.
I am a fan of all data science videos from Great learning 👍
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The lady's presentation is very good.. could use hand gestures that could add some more attraction
Thank you for your feedback. We appreciate it!
@2:03:45 The instructor says "I have never seen anybody using Tuple"..
This is misleading and incorrect, because Tuples has its own set of use-cases/scenarios.. For example: Image recognition
Tuples is light in terms of memory hence its efficient over lists in scenarios where there are big data...
Using python:((in the same directory that your python process is based)
import pandas as PD
data = pd.read_csv("filename.csv")
Using R:
read.csv("Path where your CSV file is located on your computer\\File Name.csv")
We hope this answers your question:)
@@greatlearning I am not getting it.. My question was on the instructor's view on Tuple as a data-structure against Lists. I observed Tuple's advantages over lists in terms of computational speed (in several use-cases) is not highlighted..
permision to learn sir. thank you
Could you start a series with tensorflow and deep learning ; from basics to a project.
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@@greatlearning Done and thank you for replying
Really great teacher 🙏
Hi Greatlearning, it is a great job. could you please upload the tutorial for the data science
Hey, this is the link for our data science tutorial:
ruclips.net/video/u2zsY-2uZiE/видео.html
@@greatlearning Can You also pls provide the course for Deep learning
At 2:04:25
Sir if we take ("1") it's not a tuple
So that's why it giving you series data . For single element we have to keep comma(,)
like ("1",) then it takes as tuple
Thank you for your feedback. We appreciate it!
Can you please add supporting files
So we can learn without difficulty
Please see the link and sign up, these courses are free there as well and you will get the supporting files
Hey, If you want to also do assessments and projects along with learning the course please visit and enroll for the free course here: glacad.me/GLA_ml_python
If you complete the courses and the assessments here you will also get a certificate of completion.
Great content..... the only subtitles need to correct at many places.
sir, I really want to touch your feet .thank you so much. this is amazing content that you provide us. where everything is crisp and clear .anyone can learn machine learning(which seems to be a heavy topic )but you made it simple and easy to understand .thank you so much once again and keep it up all the very best 👍✌😊
Thanks a lot. We are glad you found our video helpful. Comments like these make our day. :)
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2:19:31
df2=df["START_DATE*", "MILES*"]][df["MILES*]>10] try it this will work I think if it not please let me know I am beginner to ML
what is TinyML, this has been a buzzword, i learned from web that its being used these days to convert low powered micontroller based sensor enabled ICs to perform wonders, the capability which was never thought of ....also that this would be very much prevalent in neaar future and a leading market segment under the application of AI ML umbrella.... Kindly arrange for a session on that!
Great solution