Python Machine Learning Tutorial | Machine Learning Algorithms | Python Training | Edureka

///Python Machine Learning Tutorial | Machine Learning Algorithms | Python Training | Edureka

Python Machine Learning Tutorial | Machine Learning Algorithms | Python Training | Edureka

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( Python Training: )
This Edureka Python tutorial (Python Tutorial Blog: gives an introduction to Machine Learning and how to implement machine learning algorithms in Python. Below are the topics covered in this tutorial:

1. Why Machine Learning?
2. What is Machine Learning?
3. Types of Machine Learning
4. Supervised Learning
5. KNN algorithm
6. Unsupervised Learning
7. K-means Clustering Algorithm

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#Python #PythonTutorial #PythonMachineLearning #PythonTraining

How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24×7 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. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!

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About the Course

Edureka’s Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:

1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience
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Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next “Big Thing” and a must for Professionals in the Data Analytics domain.

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 Review

Sairaam Varadarajan, Data Evangelist at Medtronic, Tempe, Arizona: “I took Big Data and Hadoop / Python course and I am planning to take Apache Mahout thus becoming the “customer of Edureka!”. Instructors are knowledge… able and interactive in teaching. The sessions are well structured with a proper content in helping us to dive into Big Data / Python. Most of the online courses are free, edureka charges a minimal amount. Its acceptable for their hard-work in tailoring – All new advanced courses and its specific usage in industry. I am confident that, no other website which have tailored the courses like Edureka. It will help for an immediate take-off in Data Science and Hadoop working.”

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By |2020-12-20T11:21:18+00:00December 20th, 2020|Python Video Tutorials|38 Comments

38 Comments

  1. edureka! December 20, 2020 at 11:21 am - Reply

    Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Python Machine Learning Course curriculum, Visit our Website: http://bit.ly/2OpzQWw

  2. venkat B.E December 20, 2020 at 11:21 am - Reply

    a= "thank you edureka"
    print (a)

  3. Syrym Zhakypbekov December 20, 2020 at 11:21 am - Reply

    I like it! Super! Keep Going!

  4. Harshitha harsh December 20, 2020 at 11:21 am - Reply

    It was awesom
    Thank you sir

  5. heena shaikh December 20, 2020 at 11:21 am - Reply

    Thank u so much

  6. Sai Nikhil Gona December 20, 2020 at 11:21 am - Reply

    Amazingggg one

  7. lakshmi bhavani December 20, 2020 at 11:21 am - Reply

    It is very informative thank u for the session sir if it possible sir do videos on fuzzy sets concepts

  8. prashant sharma December 20, 2020 at 11:21 am - Reply

    sir any videos related machine learning use in mechanical industries

  9. hussain mdh December 20, 2020 at 11:21 am - Reply

    Need more clarification about supervised and unsupervised topic

  10. milad hashemzadeh December 20, 2020 at 11:21 am - Reply

    thanks a lot this was good for my start

  11. Shiwani Sharma December 20, 2020 at 11:21 am - Reply

    How can we install pycharm??

  12. Sachin S December 20, 2020 at 11:21 am - Reply

    yes sir

  13. Gokul Stark December 20, 2020 at 11:21 am - Reply

    yes thank for this beautiful information

  14. Snehal Gugale December 20, 2020 at 11:21 am - Reply

    for machine learning ,which python packages are needed? please put its tutorial

  15. Mary Yan December 20, 2020 at 11:21 am - Reply

    Simplified version but good enough to cover the basics. Thanks!

  16. Elon Yao December 20, 2020 at 11:21 am - Reply

    sexy accent

  17. d p December 20, 2020 at 11:21 am - Reply

    Awesome!

  18. Vinay Vinni December 20, 2020 at 11:21 am - Reply

    I am new to machine learning can anyone suggest the best course to start algorithms

  19. How To Tech December 20, 2020 at 11:21 am - Reply

    print("Thanks")

  20. Deepthi Victor December 20, 2020 at 11:21 am - Reply

    Hi sir…
    It would be better if you give an example for scientific image analysis using python.

  21. Methamphetamine 99 December 20, 2020 at 11:21 am - Reply

    Can anyone send the code?

  22. Abhiram Vanama December 20, 2020 at 11:21 am - Reply

    thank you very much sir! i hope you'll make many more videos which are really helpful.

  23. Python Codex December 20, 2020 at 11:21 am - Reply

    Your video is very helpful. Thanks. 👍👍

  24. sripad desai December 20, 2020 at 11:21 am - Reply

    Hi sir, your ML session is very well and clear, i have completed my python programming language training and i am confused about what is next ? how much difficult it is ,for an python language trained professional like me to start career in ML? please guide.Thanks

  25. Balaji Krishnamoorthy December 20, 2020 at 11:21 am - Reply

    Is that Next-Gen technologies is difficult to learn and practise as i am from legacy back ground for 15 years.
    Is that automation helps developer or create developer jobs in next 05 years?

  26. Ankit Pachauri December 20, 2020 at 11:21 am - Reply

    all clear

  27. Manhar Raj December 20, 2020 at 11:21 am - Reply

    Yes

  28. PoPollyPo December 20, 2020 at 11:21 am - Reply

    Awesome, short, concise and super useful!

  29. Mahi MSD December 20, 2020 at 11:21 am - Reply

    gr8 session …..Saurabh Sir

  30. Shivam Bhardwaj December 20, 2020 at 11:21 am - Reply

    All clear

  31. Nithin Shastry December 20, 2020 at 11:21 am - Reply

    Hi team great work, thanks for uploading this, can you upload video on machine learning classification like gender classification from face using python

  32. Krishankant Jha December 20, 2020 at 11:21 am - Reply

    how 18 and 90 had been calculated below the kisses and kicks

  33. Akshay Barge December 20, 2020 at 11:21 am - Reply

    Really informative. Looking forward to learn more on ML.

  34. Ch A December 20, 2020 at 11:21 am - Reply

    Hi Edureka, this is a great tutorial. However, would you guys be creating a dedicated Machine Learning Course with Python (not data science or just python.. a course for Machine Learning Engineer career) in Edureka?

  35. ramu k December 20, 2020 at 11:21 am - Reply

    i didnt have knowledge on phyton can i able to learn machine learning course

  36. Imran Shaikh December 20, 2020 at 11:21 am - Reply

    great Explanation

  37. Jose Maritta December 20, 2020 at 11:21 am - Reply

    Thanks a lot… Very useful to learn..

  38. Menaka Rajan December 20, 2020 at 11:21 am - Reply

    Hi Team,    By watching this video I am very much satisfied… Looking forward to know more about ML , so keep uploading the related videos!!Happy Learning!

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