Machine Learning with Python | Machine Learning Tutorial for Beginners | Machine Learning Tutorial



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Machine learning is defined as the “use and development of computer systems that can learn and adapt without following explicit instructions, using algorithms and statistical models to analyze and draw inferences from patterns in data.”
Great Learning’s python with Machine learning course brings you a full-fledged course inclusive of all essential topics like introduction to machine learning, machine learning algorithm, reinforcement learning, and many more. This course will enlighten you with machine learning concepts, not just conceptually but also with practicality.

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Learn more about:
✔Data Frames with Panda
✔Grouping Data
✔Loops and functions
✔Visualization libraries
✔Descriptive statistics
✔Dispersions and histogram

🏁 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

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Python for Data Science: https://www.youtube.com/watch?v=edvg4eHi_Mw&t=17638s
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Tableau Training for Beginners: https://www.youtube.com/watch?v=6mBtTNggkUk&t=2s
Time Series Analysis: https://www.youtube.com/watch?v=FPM6it4v8MY&t=8433s
Probability and Statistics: https://www.youtube.com/watch?v=z9siRCCElls&t=4844s
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28 thoughts on “Machine Learning with Python | Machine Learning Tutorial for Beginners | Machine Learning Tutorial”

  1. Register and get free Certificate for the course: https://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

  2. I cannot find the 'Assignment' mentioned at 4:36:21 which includes the 'Pandas_lab_exercise',' Automobile' dataset, and the solution of this assignment, in the 'Learning materials used in the video' section of this course. Please provide the assignment, solution, and dataset so that we can practice.

  3. if im non tech and doesnt know anything about programming can i still watch this video as it seems interesting. i want to get into ML and that in short way> PLZ advise. Thank you

  4. Warning: can sound harsh comment.
    With due respect, Raghu the lec whow was teaching Python, pandas n Numpy lacks knowledge n has less actual practice.
    Other teachers are just so awesome… Raghu is not matching their level.

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