Course curriculum

  • 1

    ML_E-Learning Content

    • Chapter 1 - Introduction to Python

    • Anaconda installation

    • Jupyter notebooks

    • Chapter 2 - Introduction to Python Programming

    • Multi Paradigm

    • Open source

    • Diversified

    • Interpretation

    • Easy and simple

    • Dynamic typing

    • Large Standard library

    • Chapter 3 - Numbers and Variables - Numbers

    • Operators

    • Variables

    • Chapter 4 - Strings

    • String Methods

    • String Operations

    • Immutability

    • String Formatting

    • Chapter 5 - Lists

    • List_Methods

    • Tuples

    • Dictionaries

    • Dic_Methods

    • Sets and Booleans

    • Chapter 6 - Statements

    • For loop

    • While loops

    • Chapter 7 - Functions

    • Decorators

    • Generators

    • Chapter 8 - Object Oriented Programming (OOP) - Objects and Classes

    • Attributes

    • Methods

    • Inheritance

    • Polymorphism

    • Supervised Learning

    • Supervised Learning PDF

    • Unsupervised Machine Learning

    • Unsupervised Machine Learning PDF

    • Reinforcement Machine Learning

    • Reinforcement Machine Learning PDF

    • Classification

    • Classification PDF

    • Regression

    • Regression PDF

    • Clustering

    • Clustering.pdf

    • Association

    • Association.PDF
  • 2

    ML - Gmail Spam Detection from Beat The Virus_Project - 1

    • Supervised Learning

    • Supervised Learning PDF

    • Unsupervised Machine Learning

    • Unsupervised Machine Learning PDF

    • Reinforcement Machine Learning

    • Reinforcement Machine Learning PDF

    • Classification

    • Classification PDF

    • Regression

    • Regression PDF

    • Clustering

    • Clustering PDF

    • Association

    • Association PDF

    • Gmail Spam Detection

    • Gmail Spam Detection -code

    • Spam.CSV

    • Gmail Spam Detection PDF
  • 3

    ML - Diabetes Detection from Beat The Virus_Project - 2

    • Supervised Learning

    • Supervised Learning PDF

    • Unsupervised Machine Learning

    • Unsupervised Machine Learning PDF

    • Reinforcement Machine Learning

    • Reinforcement Machine Learning PDF

    • Classification

    • Classification PDF

    • Regression

    • Regression PDF

    • Clustering

    • Clustering PDF

    • Association

    • Association.PDF

    • Diabetes Detection

    • Diabetes Detection PDF

    • Diabetes CSV

    • Diabetes.code
  • 4

    ML - IRIS Classification_Project - 3

    • Supervised Learning

    • Supervised Learning PDF

    • IRIS Classification

    • IRIS -MODEL.IPYNB

    • IRIS.CSV.CSV
  • 5

    Recordings of Project Live Classes

    • Execution of Project 1 - Gmail Spam Detection

    • Execution of Project 2 - Diabetes Detection

    • Execution of Project 3 - IRIS Classification
  • 6

    Project Submissions

    • Instructions for Submissions
  • 7

    Internship Project 1 - Dogs VS Cats using CNN from Fox Trading

    • Dogs VS Cats using CNN
  • 8

    Internship Project 2 - Self Driving Car from Fox Trading

    • Self Driving Car - 1

    • Self Driving Car - 2
  • 9

    Recordings of Internship Project Live Classes

    • Execution of Internship Project 1 - Dogs VS Cats

    • Execution of Internship Project 2 - Self Driving Car
  • 10

    Internship Project Submissions

    • Instructions for Submissions