Preview Machine learning using Python- Self Learning

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Introduction and Demo

Preview of the course

Guide for this course

Module 1 Introduction to Machine learning

Module 1-Session 2

M1 Session 2 Python Installation

M1 Session 3 Fundamentals of Python

Quiz Module 1 - Introduction to Machine Learning and Python

Module 2 - Data Structures in Python

Module 2, Session1 - Functions and Jupyter Installation

Module 2, Session 2 - Lists in Python

Module 2, Session 3

Quiz Module 2 - Python Core

Module 3 Numpy

Module 3 Session1 - Numpy Part 1

Module 3 Session 2 - Numpy Part 2

Module 3 Session 3 - Numpy Part 3

Module 3 Session 4 - Numpy with csv

Quiz Module 3 - Numpy Arrays

Module 4

Module 4 Session 1 - Line Plots

Module 4 Session 2- Subplots, Sigmoid and Parabola

Module 4 Session 3 - ScatterPlot Part 1

Module 4 Session 4- Scatter plot 2

Module 4 Session 5- Bar Graph and Pie Chart

Quiz Module 4 - Matplotlib

Pandas

Module 5 Session1 - Series in Pandas

Module 5 Session 2- DataFrames Part 1

Module 5 Session 3 - DataFrames Part 2

Module 5 Session 4- Index of DataFrame

Quiz Module 5 - Pandas Core Part 1

Module 5 Session 5- CSV File

Module 5 Session 6- NaN Values

Module 5 Session 7- Exercise

Module 5 Session 8-Solution

Module 5 Session 9 - EDA

Quiz Module 5 - Pandas Core Part 2

Module 6 What is Linear Regression?

M6 Session 1 - What is Linear Regression

M6 Session 2- Coding from scratch

M6 Session 3 - Coding from scratch - Part 2

M6 Session 4- Scratch vs Sklearn

M6 Session 5 - Years vs Salary

M6 Session 6- Accuracy and Plot

M6 Session 7 - Joblib

Quiz Module 6 - Linear Regression

Module 7 Basic Intuition on Logistic Regression

M7 Session 1- Basic Intuition on Logistic Regression

M7 Session 2 - Logistic Regression from Scratch Part 1

M7 Session 3 - Logistic Regression from scratch Part 2

M7 Session 4 - Logistic Regression using Sklearn

Quiz Module 7 - Logistic Regression

Module 8 KNN algorithm

M8 Session 1 KNN algorithm

M8 Session 2- KNN using Sklearn

M8 Session 3 - Datasets Sklearn

M8 Session 4 - Iris Dataset

M8 Session 5- Iris Coding

M8 Session 6- Visualization

Module 8 Session 7- Prediction of values

Quiz Module 8 - KNN

Module 9

M9 Session1- Images in Matplotlib

M9 Session2 - Solution on Checkerboard

M9 Session 3- Digits Classification

M9 Session 4- What is SVM

M9 Session 5- Coding SVM in Sklearn

Module 10

M10 Session 1-What-is-Clustering

M10 Session 2-Flowchart-of-KMeans

M10 Session 3-Maths-behind-KMeans

M10 Session 4 - CLustering in Sklearn

M10 Session 5-Elbow-Method

M10 Session 6 - Maths behind Elbow Method

M10 Session 7-Market-Segmentation

Assignment 2 - Clustering Questions

Preview - Machine learning using Python- Self Learning