We hope you enjoy this course, and we look forward to seeing what you'll build! If you'd like to get your assignments & projects reviewed by our team and earn a certificate, enroll here: jovian.com/learn/machine-learning-with-python-zero-to-gbms If you have any questions or face issues, please post them in the comments and we'll help you out. Do check out our RUclips channel as well, where we're posting new tutorials every week. Thanks @freecodecamp and Beau for hosting our course here! 🙏🏼
@@jovianhq ive seen a few machine learning courses, and i think you explained the best in a very begineer friendly manner that im extremely grateful to you. your experience shows tru this and i sincerely wish you all the best in all your endeavours and that youre blessed always!
sir i have just started data science doing your zerotopandas course , the way you explain topic is just magical, looking forward to learn many great topics from you..
Wow Aakash! this is one of the best explained practical ML course. The course that intend to explain a beginner that how an ML professional would look and solve the ML problem
Thank you for this great course! For anyone wondering if this course is worth it, here’s my experience: I completed all 18 hours, and despite limited experience with Python, I found it manageable as someone familiar with other programming languages. Despite being made in June 2021 and the fast pace of changes in ML, the course is still relevant. The good thing is that the learning is with real-world projects! There are exercises that are also very helpful! There are some minor code issues, but they’re not dealbreakers. Experienced developers will easily fix them, and beginners can treat them as valuable troubleshooting practice-a key skill in programming. I’m sharing this as someone with good math knowledge and experience as a developer. Keep in mind that no single course can teach you everything about ML, but this one is a good starting point. For those worried about the instructor’s accent, I watched at 1.75x speed without issues, and subtitles are available. Complaints about the accent seem more like excuses than real obstacles. My tips: Watching Andrew Ng’s course beforehand made me more prepared. Also, write the code yourself instead of just watching or copying. It makes a huge difference in how much you learn. I also did some side projects as practice, and they helped too.
Great work bro. Thanks a lot, and really grateful to you. I believe, you could add some prerequisites for this course like (1) a basic understanding of the linear and logistics regression, (2) basic python (3) basic data management with excel. All these would have raised the scaffolding for the learners before they jump on to the bandwagon of Machine Learning, tempted by its sexy appeal, and get dissapointed by the complexity.😂
@@areejfatima4297You would need to learn different math concepts like linear algebra, probability, statistics etc. to build a strong foundation for ML. You may find different concept videos about these topics, here on YT, just choose any of them and after completion, you may look for other pre-requisites that you need to learn before starting for ML.
I managed to complete (watch and code side-by-side) this video in a couple of weeks time in Dec 2024 and all I want to say is thank you Aakash for helping me understand all the fundamental ML concepts. I'm looking to switch my career to ML/AI in the near future and I feel this video is a very good start. I'm looking for learn more on Deep Learning, NLP and Gen AI concepts soon and master them by the end of 2025. Let's see how it goes.
Thank you for this video, Great content, and I'm enjoying it very much. At about 2:10 I start to get very different results. My results match the notebook I downloaded from jovian, but neither match the video. There are small differences in the loss, but the output of the feature/weight dataframe is entirely different.
Please make a full course on mathematics and algorithm writting, include different sorting algorithms, rating/ranking algorithm, search algorithm, likes/dislikes algorithms used to suggest contents and basic to intermediate mathematics used in algorithms and plzzzzz include shors algoritm and also implementation of those algorithms and writing our own algorithm) plzzz use python as base language
Excellent video, very detailed and well explained, by far the best tutorial I have watched on this topic. Prerequisite is needed in python for this course.
For anyone who might have had problems with Pandas-profiling and scikit-learn, because they need incompatible joblib versions, see that pandas-profiling has been renamed to ydata-profiling, which solves the issue.
On the first chapter I applied mean squared error and it took me time to realise that the unusually large number was the square of what I was looking for. Imagine expecting a few 10s of thousands and you're getting millions. You do everything you know right, even use AI and the number refused to go away. That wasn't pleasant 😕... at all. I later took the sqrt and the problem was resolved!
At 16:53:55 why did you chose MIT license? How does license even work? Could you elaborate because i am new to github and haven't used license until now.
MIT License is one of the most permissive licenses with which you can open source your code. It allows your code to be redistributed, modified, and leveraged for commercial use while not offering any kind of warranty or taking on any liability. You can read more about it here: opensource.org/license/mit/ . Other licences are different variations of the same few conditions.
This is very wonderful & Awesome. The way of explanation is very nice & everybody can understand. Can you please post similar way of Generative AI & LLM
The one & only Mr. Akash. Thank you Sir for your free courses that I was able to grab a job as Jr. ML Engineer. Thanks freecodecamp too on my programming journey.
3:34:39 - Greetings from Brazil! Just a thought, not entirely sure, but it doesn’t seem correct to use transform on the test set after fitting on the entire raw data. This approach could cause data leakage, couldn't it?
4:26:04, You said that we need to directly apply scaler on the new input and we need not to fit it. But what if the new input values have new max and new min. Then the scaled values of the whole set will change. Then we need to fit it again right?
I can't get the same results after transforming the data in Linear Regression at 02:09:06 My Loss is higher and my weights are completely different. I copied all the code twice and it's still different. Can somebody help me? :)
Hey! I'm about to start my course in machine learning, and I’m excited about where it could take me. Any advice on what I should focus on afterward? Also, I’d love to know how I can improve my problem-solving skills and become proficient in ML. Any tips or suggestions are welcome!
@jovianhq I would like to learn anything, I don't really know much about them but I would love to learn them as a hobby at a young age. I would be invested in starting off by making robotics. I already know Python,Javascript and C but don't really know how to get into robotics without paying any money for it.
Thanks, we hope you enjoy the course! Unfortunately this course was recorded via Zoom, which at the time only supported 720p recording. We tried upscaling it, but it seemed to mess up the text on the screen, so we just went ahead with 720p. We hope it's not too much trouble!
Skip this one, there are a lot of mistakes in material. For example 3:22:24. You should never fit on whole data set! even in preprocessing. This called "leakage through preprocessing".
@@jovianhq yup actually i have some knowledge of python java and javascript so i will give it a shot thank u for such precious resources may God bless you
Thanks, glad you liked it! If you would like to learn the basics of NLP, check out our course here: jovian.com/learn/nautral-language-processing-zero-to-nlp
sir i just started this course today by using this command fig=px.histogram(medical_df,x='age',marginal='box',nbins=47,title='distribution of age') fig.update_layout(bargap=0.1) fig.show() histogram is not coming as output
did you import the libraries correctly? the ones he added try on google colab. import plotly.express as px import matplotlib import matplotlib.pyplot as plt import seaborn as sns %matplotlib inline
Do we need in practice to check whether our train, validation and test datasets comparable? Some comment and recommendation please. P.s. thank you for this great tutorial
Does anyone know where I can find the commits that the professor made? I would like to access the jupyter notebook that he wrote to compare some information
yeah even I got the same doubt, I guess going with merged_df for imputer.fit() instead of train_df will be a better option since we are transforming the validation data too. Can I know did you approch this?
Even if we use merge_df for fitting the imputer, still it would fall short for test_inputs since merge_df doesnt include any of the data related to test data. may be we have to train multiple imputers for different data sets for better outcomes.
Hi @jovainhq team, at 1:30:00 , I got higher rmse(targets, predictions) value for smokers vs when compared to ages. Am I correct. I am asking this because corr of smokers is higher with charges.please reply
Has anyone done the activity proposed at minute 34:00? I wanted to know how to plot the 3 parts he talked about in the video. Non-smoker with health insurance, but normal. Smoker and non-smoker with average health insurance. And smokers with expensive health insurance
We hope you enjoy this course, and we look forward to seeing what you'll build! If you'd like to get your assignments & projects reviewed by our team and earn a certificate, enroll here: jovian.com/learn/machine-learning-with-python-zero-to-gbms
If you have any questions or face issues, please post them in the comments and we'll help you out. Do check out our RUclips channel as well, where we're posting new tutorials every week.
Thanks @freecodecamp and Beau for hosting our course here! 🙏🏼
What are the pre-requisites for this course?
@@saadrao804 You need to know basics of Python programming, linear algebra (vectors and matrices), statistics, and probability.
@@jovianhq thank you
@@jovianhq ive seen a few machine learning courses, and i think you explained the best in a very begineer friendly manner that im extremely grateful to you. your experience shows tru this and i sincerely wish you all the best in all your endeavours and that youre blessed always!
You make me sick because you pronounce D instead of T every time. It's so hard??????
TTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTT
¡Gracias!
sir i have just started data science doing your zerotopandas course , the way you explain topic is just magical, looking forward to learn many great topics from you..
us bro us, zerotopandas was amazing
Literally the best ML practical course i've watched till now.
Great work Sir..i have just completed 30% of it so far but kind of getting addicted to it with each passing day.
It is addicted! 🙌 🦾 #ML + #AI
Wow Aakash! this is one of the best explained practical ML course. The course that intend to explain a beginner that how an ML professional would look and solve the ML problem
This was the best tutorial I've ever seen on machine learning. Thank you.
This is very wonderful. Thanks for this! The presence of projects is wild!
You're welcome, we hope you enjoy the course!
Day 1 - 0:00:00 - 1:05:35 - 12/11/2024
Day 2 - 01:05:35 - 02:17:30 - 13/11/2024
Day 3 - 02:17:30 - 03:00:00 - 14/11/2024
Day 4 - 03:00:00 - 04:53:27 - 15/11/2024
Day 5 - 04:53:27 - 05:39:51 - 16/11/2024
Don't know - 05:39:51 - 08:13:00 - somewhere in dec
Day 41 - 08:13:00 - 10:05:12 - 28/12/2024
Wake up soldier you got a course to complete
Yo man continue the course
Broooo
Thank you for this great course!
For anyone wondering if this course is worth it, here’s my experience:
I completed all 18 hours, and despite limited experience with Python, I found it manageable as someone familiar with other programming languages. Despite being made in June 2021 and the fast pace of changes in ML, the course is still relevant. The good thing is that the learning is with real-world projects! There are exercises that are also very helpful!
There are some minor code issues, but they’re not dealbreakers. Experienced developers will easily fix them, and beginners can treat them as valuable troubleshooting practice-a key skill in programming.
I’m sharing this as someone with good math knowledge and experience as a developer. Keep in mind that no single course can teach you everything about ML, but this one is a good starting point.
For those worried about the instructor’s accent, I watched at 1.75x speed without issues, and subtitles are available. Complaints about the accent seem more like excuses than real obstacles.
My tips:
Watching Andrew Ng’s course beforehand made me more prepared. Also, write the code yourself instead of just watching or copying. It makes a huge difference in how much you learn. I also did some side projects as practice, and they helped too.
That's a well-organized and great articulation for machine learning learners. Thanks for all efforts
Great work bro. Thanks a lot, and really grateful to you.
I believe, you could add some prerequisites for this course like (1) a basic understanding of the linear and logistics regression, (2) basic python (3) basic data management with excel. All these would have raised the scaffolding for the learners before they jump on to the bandwagon of Machine Learning, tempted by its sexy appeal, and get dissapointed by the complexity.😂
do you know best cource on RUclips which has machine learning with all concepts
@@areejfatima4297You would need to learn different math concepts like linear algebra, probability, statistics etc. to build a strong foundation for ML. You may find different concept videos about these topics, here on YT, just choose any of them and after completion, you may look for other pre-requisites that you need to learn before starting for ML.
thank you so much! I am getting started with ML and this is a great intro!
Keep it up!
How it going?
@@selama16 Amazing! Gives you so much knowledge right form the start. HIGHLY Recommended!
@@steviej9332 thnx, i am just starting, hope i will enjoy it🙂
can you tell bruh after this what should i do ?
@@yenomdab3162 Learn about AI and get your career jump started
Lot of thank provide full lecture of machine learning ❤❤
You're welcome!
I'm so excited for this course !!!
I've taken Jovian's data analysis and visualization course on FCC and it was amazing. 😍
Great to hear that, we hope you enjoy this course!
All the instructors at FCC are amazing, but imo your lessons are the most detailed one. Thank you so much.
Best machine learning course in RUclips ✅🗿
Keep it up and give knowledge to others is great.
God bless you 👍
Did you watch the lecture?
Can you tell me prerequisites for this lectures
@@me-ku9ui There's only one: 'Data Analysis with Python Course: Pandas, Numpy, Data Visualization' by the same channel Jovian (also free of cost).
Your teaching mechanism with vivid screen readable and attention making masks me sty for ever in the tutorial!
I managed to complete (watch and code side-by-side) this video in a couple of weeks time in Dec 2024 and all I want to say is thank you Aakash for helping me understand all the fundamental ML concepts. I'm looking to switch my career to ML/AI in the near future and I feel this video is a very good start. I'm looking for learn more on Deep Learning, NLP and Gen AI concepts soon and master them by the end of 2025. Let's see how it goes.
This one awesome and helpful course. Thank you free code camp. May god bless you😇🙌🙏
Thank you for this video, Great content, and I'm enjoying it very much. At about 2:10 I start to get very different results. My results match the notebook I downloaded from jovian, but neither match the video. There are small differences in the loss, but the output of the feature/weight dataframe is entirely different.
Please make a full course on mathematics and algorithm writting, include different sorting algorithms, rating/ranking algorithm, search algorithm, likes/dislikes algorithms used to suggest contents and basic to intermediate mathematics used in algorithms and plzzzzz include shors algoritm and also implementation of those algorithms and writing our own algorithm) plzzz use python as base language
11/5/24
2:39:54
3:15:27
4:40:00
5:20:36
6:00:00
6:11:30
6:23:00
6:42:00
7:22:28
come back
i don't lnow how to say thanks and appreciate for this course... this course solved actually 99% of my questions. thanks a lot.
Amazing tutorial. Thank you for such free content 🤝
Excellent video, very detailed and well explained, by far the best tutorial I have watched on this topic. Prerequisite is needed in python for this course.
I watched that with more pleasure than any netflix series.
For anyone who might have had problems with Pandas-profiling and scikit-learn, because they need incompatible joblib versions, see that pandas-profiling has been renamed to ydata-profiling, which solves the issue.
Right on time was looking for an in-depth Machine Learning and Scikit-Learn course
Enjoy!
Yay, I'm early. Happy learning everyone!
All the best!
Hey, what a great video! You have my gratitude!
best course out there
Thanks so much! Really helpful course 🤩
The line "fig.update_traces(marker_size=5)" doesn't work in VSCode. You have to use "fig.update_traces(marker_cmax="x", marker_cmin="y")".
Thanks for pointing out. Can you share the timestamp where this issue occurs? We'll add it in the description.
Akash was my goto guru for learning machine learning using python. Unfortunately due to work deadline i cudnt cope up with pace. Brilliant tutor!
Thanks Zeefu, enjoy the course!
On the first chapter I applied mean squared error and it took me time to realise that the unusually large number was the square of what I was looking for.
Imagine expecting a few 10s of thousands and you're getting millions. You do everything you know right, even use AI and the number refused to go away. That wasn't pleasant 😕... at all.
I later took the sqrt and the problem was resolved!
Which are the required knowledge to take this course? For example linear algebra or know about python libraries like numpy or pandas
You need to know basics of Python programming, linear algebra (vectors and matrices), statistics, and probability.
@myziynkawaolsbeis3703 It's mentioned in the first line of the description. 🙂
At 16:53:55 why did you chose MIT license? How does license even work? Could you elaborate because i am new to github and haven't used license until now.
MIT License is one of the most permissive licenses with which you can open source your code. It allows your code to be redistributed, modified, and leveraged for commercial use while not offering any kind of warranty or taking on any liability. You can read more about it here: opensource.org/license/mit/ . Other licences are different variations of the same few conditions.
This is very wonderful & Awesome. The way of explanation is very nice & everybody can understand. Can you please post similar way of Generative AI & LLM
The one & only Mr. Akash. Thank you Sir for your free courses that I was able to grab a job as Jr. ML Engineer. Thanks freecodecamp too on my programming journey.
Thats amazing. I would like to connect with you
Congrats on becoming an ML engineer! We're glad to learn that our course was helpful in your learning journey. All the best!
What u exactly did please tell
o@@Amandeepsingh-vr7ps Flask, and couple of other Data science courses on their official website.
3:34:39 - Greetings from Brazil! Just a thought, not entirely sure, but it doesn’t seem correct to use transform on the test set after fitting on the entire raw data. This approach could cause data leakage, couldn't it?
At 44:12 I am getting an error and could not convert the string to float :'female'.
But you are not getting such error why??
mdf[["age","bmi", "children", "charges"]].corr()
@@Llllvvv1 thank you so much, you saved the day
Bohut bohut dhanyabad Akash sir❤
4:26:04, You said that we need to directly apply scaler on the new input and we need not to fit it. But what if the new input values have new max and new min. Then the scaled values of the whole set will change. Then we need to fit it again right?
I can't get the same results after transforming the data in Linear Regression at 02:09:06
My Loss is higher and my weights are completely different. I copied all the code twice and it's still different.
Can somebody help me? :)
wow great. I am a java developer . wanted to learn this😍😍
Thank you so much for providing in India accent
nice lecture
Video that you linked in the notebook are not available anymore.
great instructor
Can you guys put out a whole course of DSA on C++.It would be very helpful.Thanks.
check dsa c++ code babbar and striver
Yes you are correct
Afcourse but may be in python 😅
We have a course on Data Structures and Algorithms in Python: ruclips.net/video/pkYVOmU3MgA/видео.html
This couldn't have come at a more perfect time for me!
Great, hope you enjoy the course!
Hey! I'm about to start my course in machine learning, and I’m excited about where it could take me. Any advice on what I should focus on afterward? Also, I’d love to know how I can improve my problem-solving skills and become proficient in ML. Any tips or suggestions are welcome!
What are the pre requisites to learn this
Hey can you guys please make a course on robotics I think that would be really interesting and a lot of people would be invested on that topic.
What would you like to learn about robotics?
@jovianhq I would like to learn anything, I don't really know much about them but I would love to learn them as a hobby at a young age. I would be invested in starting off by making robotics. I already know Python,Javascript and C but don't really know how to get into robotics without paying any money for it.
exactly what i needed
Enjoy!
I am speechless! Saved for later and already very excited! Thanks Jovian and FCC! But... 720p? 😅🙄
Thanks, we hope you enjoy the course! Unfortunately this course was recorded via Zoom, which at the time only supported 720p recording. We tried upscaling it, but it seemed to mess up the text on the screen, so we just went ahead with 720p. We hope it's not too much trouble!
What a great video :) :)
Thanks aakash brother..
Skip this one, there are a lot of mistakes in material. For example 3:22:24. You should never fit on whole data set! even in preprocessing. This called "leakage through preprocessing".
this is mind blowing !!!!!
Thanks!
Good timing thx X)
You're welcome!
You have won me at your indian accent ❤
Ohh my yea perfect timing I just started to get in data science
Great, you should also check out our course on Data Analysis with Python (it's on the FreeCodeCamp channel too).
@@jovianhq yup actually i have some knowledge of python java and javascript so i will give it a shot thank u for such precious resources may God bless you
@@wish1333Great, all the best!
@@jovianhq thank you 😊
Loved it❤
41:00 i am not able to find correlation between charges and smokers
It give me 'nan'
Love this lecture sir waiting for a long...... Only request is to discuss a detailed lecture on NLP with in demand projects. Please sir 🥺🥺
Thanks, glad you liked it! If you would like to learn the basics of NLP, check out our course here: jovian.com/learn/nautral-language-processing-zero-to-nlp
👌👌👌👌 excellent sir
Thanks, enjoy the course!
Can you please make reverse engineering full course 😊🥰
Someone had this problem here at minute 1:44:36 "ValueError: the operands could not be transmitted together with the forms (1064,) (1338,)"?
Thank you very much!
You're welcome!
Awesome. You're a Great instructor.
you completed this?
Using this playlist can i do real time project
is it Satisfying
Can i build anything, by practicing it
where can i get the medical dataset??
sir i just started this course today by using this command fig=px.histogram(medical_df,x='age',marginal='box',nbins=47,title='distribution of age')
fig.update_layout(bargap=0.1)
fig.show() histogram is not coming as output
did you import the libraries correctly? the ones he added
try on google colab.
import plotly.express as px
import matplotlib
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
love this
Thanks!
Great course!
Awesome !!
Thanks!
I ❤ it!
Thanks!
Not able to load the dataset with the link provided 6:25
Help if someone knows
What are the prerequisites for this course?
Is sklearn taught in this video? Or is it a prerequisite for this video?
Obrigado ❤
De nada
quick question you all, is there any math pre requisite for this course?
Do we need in practice to check whether our train, validation and test datasets comparable? Some comment and recommendation please.
P.s. thank you for this great tutorial
Does anyone know where I can find the commits that the professor made? I would like to access the jupyter notebook that he wrote to compare some information
thx a lot
You're welcome!
For overfitting we check bias and variance ....that define the the over or under fitting problem
At 8:48:00, shouldn't the Imputer, Scaler and Encoder be fitted with the merged_df rather that using the train_df?
yeah even I got the same doubt, I guess going with merged_df for imputer.fit() instead of train_df will be a better option since we are transforming the validation data too. Can I know did you approch this?
Even if we use merge_df for fitting the imputer, still it would fall short for test_inputs since merge_df doesnt include any of the data related to test data. may be we have to train multiple imputers for different data sets for better outcomes.
Yeah i guess it was a mistake but since all columns didnt have any missing values it didnt effect the data atall.
it is vary good tutorial
Thanks man
5:33:19 sir i get 1 score in validation set also i do some changes from your code like in imputer i select most_frequent for stragey
any prerequisites for this course??
I think knowing some basic Statistics and Python could really help understand some of the concepts
@jovianhq - @ 8:31:33, The day of the week when it is 1 is a Sunday and 7 is Saturday. So that explains the more sales on weekends.
What are the prerequisites to fully understand the material in this course? please answer. i noticed other people asked this same question.
What are the pre requisites? Like python or any specific libraries require or we can get started simply???
basic knowledge of python and static.
Guys, what are the pre requisites to know in order to start this course? I have learnt Python, Numpy and Pandas
Matplotlib
is there a code pre trained model for video analysis
Please is it focused only on linear regression?
Hi @jovainhq team, at 1:30:00 , I got higher rmse(targets, predictions) value for smokers vs when compared to ages. Am I correct. I am asking this because corr of smokers is higher with charges.please reply
You want to compare age vs heavy smokers and age vs light smokers.bcz it's have 2 clusters.
Has anyone done the activity proposed at minute 34:00? I wanted to know how to plot the 3 parts he talked about in the video. Non-smoker with health insurance, but normal. Smoker and non-smoker with average health insurance. And smokers with expensive health insurance
I have tried to deploy my machine learning model on render but why it is asking for credit card info to be entered?