Section 1 : Complete machine learning series

Lecture 1 INTRODUCTION 7:0

Section 2 : HOW MACHINE LEARNS

Lecture 2 HOW MACHINE LEARNS 6:45

Section 3 : INSTALLATION OF LAB

Lecture 3 INSTALLATION OF LAB 2:40

Section 4 : INTRODUCTION TO PANDAS

Lecture 4 PANDAS

Section 5 : DATA VISUALIZATION

Lecture 5 DATA VISUALIZATION 12:48

Section 6 : DATA PRE-PROCESSING

Lecture 6 Data Pre-Processing theory 3:30
Lecture 7 Data Pre-Processing code

Section 7 : LINEAR REGRESSION

Lecture 8 Linear Regression theory
Lecture 9 Linear Regression code 5:58

Section 8 : LOGISTIC REGRESSION

Lecture 10 Logistic Regression theory 0:31
Lecture 11 Logistic Regression code 8:25

Section 9 : KNN Algorithm

Lecture 12 KNN THEORY 3:18
Lecture 13 KNN CODE 7:25

Section 10 : DECISION TREE

Lecture 14 DECISION TREE THEORY 3:14
Lecture 15 DECISION TREE CODE 4:8

Section 11 : NAIVE BAYES

Lecture 16 NAIVE BAYES THEORY
Lecture 17 NAIVE BAYES CODE 3:4

Section 12 : RANDOM FOREST

Lecture 18 RANDOM FOREST THEORY 1:39
Lecture 19 RANDOM FOREST CODE 3:33

Section 13 : PROJECT

Lecture 20 Project