Python for Machine Learning - Machine Learning Tutorial for Beginners

Explore a comprehensive tutorial on Python for Machine Learning, designed for beginners in 2021. Dive into essential libraries like NumPy for numerical computation, Pandas for data manipulation, and Seaborn for visualization. Learn to work with single and multi-dimensional arrays, Series objects, and Dataframes. Gain insights into supervised, unsupervised, and reinforcement learning concepts. Apply your knowledge through practical implementations of linear regression, KNN algorithm, and classifier examples using Google Collaboratory. Discover the data-oriented approach to machine learning and understand how to continue your learning journey in this field.

Introduction
Agenda
What is Python
Why you should learn Python
Python for Machine Learning
DataOriented Approach
What is Machine Learning
Supervised Learning
Machine Learning
Unsupervised Learning
Grouping
Reinforcement Learning
Practical Implementation
Linear Regression
Example
Google Collaboratory
KN Algorithm
Classifier Example
Graph Example
How to Learn Machine Learning