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Guide for this course

Module 1 Introduction to Machine learning

Quiz Module 1 - Introduction to Machine Learning and Python

Module 2 - Data Structures in Python

S1M2

S2M2

S3M2

Quiz Module 2 - Python Core

Module 3 Numpy

S2M3

S3M3

Quiz Module 3 - Numpy Arrays

Module 4

S1M4 - Line Plots

S2M4 - Subplots, Sigmoid and Parabola

S3M4 - ScatterPlot Part 1

S4M4 - Scatter plot 2

S5M4- Bar Graph and Pie Chart

Quiz Module 4 - Matplotlib

Module 5 : Pandas

S1M5 - Series in Pandas

S2M5 - DataFrames Part 1

S3M5 - DataFrames Part 2

S4M5 - Index of DataFrame

S5M5 - CSV File

S6M5 - NaN Values

S7M5 - Exercise

S8M5 -Solution

S9M5 - EDA

Module 6 What is Linear Regression?

S1M6 - What is Linear Regression

S2M6 - Coding from scratch

S3M6 - Coding from scratch - Part 2

S4M6 - Scratch vs Sklearn

S5M6 - Years vs Salary

S6M6 - Accuracy and Plot

S7M6 - Joblib

Module 7 Basic Intuition on Logistic Regression

S1M2 (1)

S2M7 - Logistic Regression from Scratch Part 1

S3M7 - Logistic Regression from scratch Part 2

S4M7 - Logistic Regression using Sklearn

S5M7 - Salary vs Exp

Quiz Module 7 - Logistic Regression

Module 8 KNN algorithm

Quiz Module 8 - KNN

Module 9

Module 10

Preview - Machine learning using Python- Self Learning