Course curriculum

  • 1

    DS_E-Learning Content

    • Chapter 1 - Introduction to 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 - Prediction Of Marks from Plotmydata_Project - 1

    • Introduction to Library

    • Introduction to Library PDF

    • Data Collection & Data Cleaning

    • Data Collection & Data Cleaning PDF

    • Exploratory Data Analysis

    • Exploratory Data Analysis PDF

    • Model Formulation & Prediction

    • Model Formulation & Prediction PDF

    • Find the Accuracy

    • Find the Accuracy PDF

    • Prediction of Marks

    • Prediction of Marks PDF

    • CODE
  • 3

    DS - Detection of Parkinson Disease using Data Science from Plotmydata_Project - 2

    • Introduction to Probability, Statistics & SQL

    • Data Visualization with Tableau

    • Data Visualization with Tableau PDF

    • LSTM

    • LSTM PDF

    • Detection of Parkinson’s Disease

    • Detection of Parkinson’s Disease PDF

    • CODE
  • 4

    DS_Fake News Detection using Data Science from Plotmydata_Project - 3

    • Introduction to Probability, Statistics & SQL

    • Learn Data Visualization with Tableau

    • Learn Data Visualization with Tableau PDF

    • LTSM

    • LTSM PDF

    • Fake News Detection

    • Fake News Detection PDF

    • CODE
  • 5

    Recordings of Project Live Classes

    • Execution of Project 1 - Prediction Of Marks

    • Execution of Project 2 - Detection of Parkinson Disease

    • Execution of Project 3 - Fake News Detection
  • 6

    Project Submission

    • Instructions for Submissions
  • 7

    Internship Project 1 - Best Add Predictor from Plot My Data

    • Best Add Predictor(UCB)

    • Thompson Sampling
  • 8

    Internship Project 2 - ChatBot from Plot My Data

    • ChatBot Code

    • ChatBot with DialogFlow - Theory

    • ChatBot with DialogFlow - 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