Machine Learning Algorithms | Machine Learning Tutorial | Data Science Training | Edureka
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- Опубликовано: 22 май 2024
- 🔥 Data Science Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") - www.edureka.co/data-science-r...
This Machine Learning Algorithms Tutorial shall teach you what machine learning is, and the various ways in which you can use machine learning to solve a problem! Towards the end, you will learn how to prepare a data-set for model creation and validation and how you can create a model using any machine learning algorithm! In this Machine Learning Algorithms Tutorial video you will understand:
1) What is an Algorithm?
2) What is Machine Learning?
3) How is a problem solved using Machine Learning?
4) Types of Machine Learning
5) Machine Learning Algorithms
6) Demo
You can also check out this Machine Learning with Python video for more insights: • Machine Learning Pytho...
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#Edureka #MachineLearningAlgorithms #Datasciencetutorial #Datasciencecourse #datascience
How it Works?
1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. You will get Lifetime Access to the recordings in the LMS.
4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!
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About the Course
Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.
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Why Learn Data Science?
Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework.
After the completion of the Data Science course, you should be able to:
1. Gain insight into the 'Roles' played by a Data Scientist
2. Analyse Big Data using R, Hadoop and Machine Learning
3. Understand the Data Analysis Life Cycle
4. Work with different data formats like XML, CSV and SAS, SPSS, etc.
5. Learn tools and techniques for data transformation
6. Understand Data Mining techniques and their implementation
7. Analyse data using machine learning algorithms in R
8. Work with Hadoop Mappers and Reducers to analyze data
9. Implement various Machine Learning Algorithms in Apache Mahout
10. Gain insight into data visualization and optimization techniques
11. Explore the parallel processing feature in R
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Who should go for this course?
The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:
1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
4. Business Analysts who want to understand Machine Learning (ML) Techniques
5. Information Architects who want to gain expertise in Predictive Analytics
6. 'R' professionals who want to captivate and analyze Big Data
7. Hadoop Professionals who want to learn R and ML techniques
8. Analysts wanting to understand Data Science methodologies
For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).
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Customer Reviews:
Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. "
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Data Science Training Certification Curriculum, Visit our Website: bit.ly/37q65Oc
Best Tutorial on Machine Learning at Beginner Level.
You guys create amazing learning videos
This course is awesome. Thank you !
Very helpful. Thank you edureka!
This is amazing, thank you!
Excellent and the last explanation for logistic regression and for classification was too good ..!!
Sure it will be fixed for life time
And we are expecting more videos on further algorithms.... thank you...!!
Best video ever for beginners... As I am one of them...
thanks edureka for the good work you are doing,to empower us with coding skills
Nice and concise explanation. Can you please provide the data set you used, so we could also play around with it as practice. Thanks in anticipation
This s the best tutorial for Machine learning among all the videos I went through hats off guys..
Hey Bhargavi, thanks for the wonderful feedback! We're glad you found our tutorial useful.
Do subscribe to our channel to stay posted on upcoming tutorials. You can also access our complete training here: www.edureka.co/data-science.
Hope this helps. Cheers!
The videos are really good. I was wondering where to start with the study on datasceience. And you just gave me a great start
Hey Deepa, thanks for the wonderful feedback! We're glad we could be of help.
You can continue your training in a structured format and led by an instructor by enrolling into our course. www.edureka.co/data-science.
Do subscribe to our channel to stay posted on upcoming tutorials. Cheers!
Good one to start with!!! keep up the good work!!
You guys are amazing! 👏
Very good tutorial. Very well explained
nice session............ thanks
Informative and clearly explained video:) thanks :)
Hey Divya, thank you for appreciating our work. Do subscribe and stay connected with us. Cheers :)
Excellent and informative session. Thank you
Hey Afif, thank you for watching our video. Do subscribe, like and share to stay connected with us. Cheers :)
This is an excellent video putting me close to understanding the ML. Big thanks!!!
Hi : ) We really are glad to hear this ! Truly feels good that our team is delivering and making your learning easier :) Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
Fantastic explanation. Thanks!
Thanks for the compliment Ninoshka! We are glad you loved the video. Do subscribe to the channel and hit the bell icon to never miss an update from us in the future. Cheers!
Great session! Good explanation of ML concepts with hands on coding.
Hey Anjum, we are glad that you liked our content. Do subscribe and stay connected with us. Cheers :)
Thank you edureka!!
great...........thank u
Very informative💯
Awesome!
Very nice session. Keep good videos posted
Thanks for the wonderful feedback! Do follow our channel to stay posted. Cheers!
Thank you Edureka for your nice presentation on an important topic!
I have one question, How can get the optimal cut of point for a continuous independent variable using a machine learning approach. could you give me a command?
Great effort
thanks edureka!
Excellent tutorial
Very useful for beginners, thank you for sharing this..
Thank U.
your way of explining is very good
Hi Sakthi, thanks for the wonderful feedback! We're glad we could be of help. You can check out our complete Data Science course here: www.edureka.co/data-science
Do subscribe to our channel to stay posted on upcoming tutorials. Cheers!
gr8 work .....
.excellent explanations....
Thank you for watching our video. Do subscribe, like and share to stay connected with us. Cheers :)
so nice session............
Thank you for watching our video. Do subscribe, like and share to stay connected with us. Cheers :)
Simply loved it.
Thank you for your review : ) We are glad that you found our videos /contents useful . We are also trying our best to further fulfill your requirements and enhance your expirence :) Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
Nice information edureka
Your videos are just awesome , clear and easy to understand . I really needed this video to get me through the Machine Learning dripline .I recommend every one who is interested to have a look in the following courses, they are great
1- Machine Learning Certification Training using Python
2- Python Certification Training for Data Science
Thanks a lot Jaber 🙏🙏
1- Machine Learning Certification Training using Python : www.edureka.co/machine-learning-certification-training
2- Python Certification Training for Data Science : www.edureka.co/python
thanks for u r vedio
Thank you for watching our videos. Do subscribe to our channel and stay connected with us. Cheers :)
Very useful, it will be more useful if can download this notes
Definitely ! We are glad to have learners like you .Drop your mail id in the comment section for us to share the data sheets or source codes :) Do subscribe our channel and hit that bell icon to never miss an video from our channel .
Fantastic video brother
Hey Tony, thank you for watching our videos and appreciating our work. Do subscribe to our channel and stay connected with us. Cheers :)
ж
which algorithm will be suitable for feature extraction of the home window also
from where I can get the dataset
Hey, "You can follow this blog : machinelearningmastery.com/perform-feature-selection-machine-learning-data-weka/
It also consists of sample datasets for you to follow along.
Cheers."
Good Work!
Nicely explained!
Thank you for your review : ) We are glad that you found our videos /contents useful . We are also trying our best to further fulfill your requirements and enhance your expirence :) Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
very interesting, thanks
Thank you for your review : ) We are glad that you found our videos /contents useful . We are also trying our best to further fulfill your requirements and enhance your expirence :) Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
Thanks Sir :) Thanks a lot :) #JaiHind
If you could upload all the series like this , then it'll be super exciting :)
Hey Naren, thanks for checking out our tutorial! We're glad you liked it.
We will be coming up with more videos in the near future; do subscribe to our channel to stay posted on upcoming tutorials. Meanwhile you can check out related tutorials here: ruclips.net/p/PL9ooVrP1hQOFZ1W2m8zYMxUiQhHywHxYm.
You can also check out our complete training on the subject here: www.edureka.co/search/machine+learning.
Hope this helps. Cheers!
I had subscribed edureka 4 years ago ;)
Thank you so much
Thank you for the wonderful feedback! We're glad we could be of help. You can check out our complete Data Science course here: www.edureka.co/data-science
Do subscribe to our channel to stay posted on upcoming tutorials. Hope this helps. Cheers!
good
really well-explained information of algorithms. how can I get these LMS codes ?? plz reply soon
Thanks for the compliment Abhishek!
You can share your email id with us (it will not be published). We will forward you the source code to your email address.
This channel is very helpful
Glad you think so!Thank you for the compliment !Glad our channel is helping you . Do subscribe our channel and hit that bell icon to never miss an video from our channel :)
I am doing Msc statistics. Wat are de concepts I have to cover in machine learning
Hey Ram, statistics and math are vital to understand and master machine learning. There is no specific pre-requisite for Machine Learning Training. However, a basic understanding of R can be beneficial. Edureka offers you a complimentary self-paced course, i.e. "R Essentials" when you enroll in Data Science Training. Check out our courses here: www.edureka.co/data-science
Hope this helps :)
There can be a combination of Supervised Learning and Unsupervised Learning I assume?
Yes, there can be such a case as well. We hope you liked our tutorial and found it interesting! :)
Reinforcement learning is applied in games
I don't know R Language but the session before the programming's was excellent .
Hey Aditya, thanks for checking out our tutorial. We're glad you liked it.
You could start with learning R. This playlist would help you: ruclips.net/p/PL9ooVrP1hQOEIUTpxRf4infBJnquwaTME.
If you're interested in learning Data Science from scratch, you can also check out our course here: www.edureka.co/data-science. We also provide you with a complementary course in R programming when you enroll for this course. Please feel free to contact us if you have any questions. Hope this helps. Cheers!
How to start a project for cse students in trending technology
Hey Sankar, there are many various verticals that you could look into for making your projects. Topics like AI & DL, Machine Learning, IoT and Blockchain are some of the trending topics that you could look into. Hope this helps :)
Sir please send machine learning course full syllabus
Hey Peduru, nice to see that you are interested in Machine Learning. Edureka’s Machine Learning Certification Training using Python helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes and Q-Learning. You can find complete course details over here: www.edureka.co/machine-learning-certification-training. Alternatively, you can mention your email id and phone number and we will get one of our experts to get in touch with you. Cheers!
please upload it using spyder....
Hey Raja, we will definitely look into your suggestions. Do subscribe and stay connected with us. Cheers :)
How to find probability for Fiat 128 car where it is using both engines??
Hi Bhupendra, you have to multiply both independent probabilities.
Where i can find the data sets
Please share your email id, we will share it.
I am mechanical engineer is it good to learn machine learning & apply in the manufacturing process.
Hey Ezhilarasan, you can surely learn Machine Learning and innovate ways to apply it in manufacturing processes. Currently, the technology is being used to bring down labor costs, reduce product defects, shorten unplanned downtimes, improve transition times, and increase production speed.
edureka! Thank you can you guide how to join in edureka class I am in Chennai
You can check out our Machine Learning course here: www.edureka.co/data-science
Our course is conducted online via live instructor led sessions. You can attend our classes from anywhere in the world!
Sir , reinforcement learning is not clear to me. can you help me?
Let’s imagine that a new born baby comes across a lit candle. Now, the baby does not know what happens if it touches the flame. Eventually, out of curiosity, the baby tries to touch the flame and gets hurt. After this incident, the baby learns that repeating the same thing again might get him hurt. So, the next time it sees a burning candle, it will be more cautious.
That is exactly how Reinforcement learning works. Reinforcement learning is a kind of Machine Learning where in the system that is to be trained to do a particular job, learns on it’s own based on its previous experiences and outcomes while doing a similar kind of a job.
before getting into machine learning should i learn PYTHON programming ??
Hey Dinesh, Python is one of the prerequisites for Machine Learning. Edureka's Python Course will help you master important Python programming concepts such as data & file operations in Python, object-oriented concepts in Python & various Python libraries such as Pandas, Numpy, Matplotlib, and so on. For complete course click over here: www.edureka.co/python-programming-certification-training. If you have any doubts, please feel free to reach us at +91 98702 76459 or 1844 230 6365. Hope this helps!