Course curriculum

  • 1

    DS_E-Learning Content

    • Chapter 1 - Introduction to Data Science with Python

    • Anaconda installation

    • Jupyter notebooks

    • Chapter 2 - Why Python - Features of Python

    • Multi Paradigm

    • Open source

    • Diversified

    • Interpretation

    • Easy and simple

    • Dynamic typing

    • Large Standard library

    • Chapter 3 - Numbers and Variables - Numbers

    • Operators

    • Variables

    • Dynamic Typing

    • 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 Learning

    • Unsupervised Learning PDF
  • 2

    DS_Hand Written Digit Prediction from Personifwy_Project 1

    • Hand Written Digit Prediction

    • Hand Written Digit Prediction PDF

    • MNIST IPYNB File
  • 3

    DS_Hierarchical Clustering from Personifwy_Project 2

    • Hierarchical Clustering - Theory

    • Hierarchical Clustering - Code

    • Hierarchical Clustering IPYNB File

    • Mall Customers CSV File

  • 4

    DS_Linear Discriminant Analysis from Personifwy_Project 3

    • Wine Classification using LDA

    • Wine Classification IPYNB File

    • Wine CSV File
  • 5

    Recordings of Project Live Classes

    • Execution of Project 1 - Hand Written Digit Prediction

    • Execution of Project 2 - Hierarchical Clustering

    • Execution of Project 3 - Linear Discriminant Analysis
  • 6

    Project Submission

    • Instructions for Submissions
  • 7

    Internship Project 1 - Best Add Predictor from Personifwy

    • Best Add Predictor(UCB)

    • Thompson Sampling
  • 8

    Internship Project 2 - ChatBot from Personifwy

    • ChatBot with DialogFlow - Theory

    • ChatBot with DialogFlow - Code

    • ChatBot - Code

    • Test.qa

    • Train.qa
  • 9

    Recordings of Internship Project Live Classes

    • Execution of Internship Project 1 - Best Add Predictor

    • Execution of Internship Project 2 - ChatBot
  • 10

    Internship Project Submissions

    • Instructions for Submissions