MACHINE LEARNING

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Course Content

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Section 1: Introduction

Introduction to Machine Learning

Section 2: Python for data analysis

Section 3: Python for data visualization

Matplotlib (Part-1)

Matplotlib (Part-2)

Section 4: Linear Regression

Linear Regression (Part-1)

Linear Regression (Part-2)

Section 5: K Nearest Neighbors

Introduction to Supervised Learning

K Nearest Neighbors

Section 6: Comparing different classification models

Comparing classification models (Part-1)

Comparing classification models (Part-2)

Comparing classification models (Part-3)

Section 7: K means Clustering

K-means clustering

K-means clustering (Part-2)

Section 8: Unsupervised Learning

Apriori Algorithm (Part-1)

Apriori Algorithm (Part-2)

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