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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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With more than 5.4 Million+ learners in 170+ countries, Great Learning, a part of the BYJU'S group, is a leading global edtech company for professional and higher education offering industry-relevant programs in the blended, classroom, and purely online modes across technology, data and business domains. These programs are developed in collaboration with the top institutions like Stanford Executive Education, MIT Professional Education, The University of Texas at Austin, NUS, IIT Madras, IIT Bombay & more.

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