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ML study and application

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Data Analytics With Learn to code

Lecture 1 - Basics of Data analytics in python

Lecture 2 - How to operate with data from SQL

Lecture 3 - How to import and export data in JP notebook

Lecture 4 - Data Science and Introduction to Numpy A and B

Lecture 5 - Linear Algebra in Numpy and useful functions

Lecture 6 - Introduction to Pandas : Series and Data Frames

Lecture 7 - Reading CSV and basic plotting

lecture 8 - Data Cleaning introduction

Lecture 9 - More visualizations with math plot library

Lecture 10 - Reading CSV and TXT files

Fundamentals of ML-

Linear regression

Logistic Regression

Decision Trees

K-Nearest Neighbours

Support vector Machines