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Applied Data Science and Machine Learning - Batch 1

Course Contents

Week 1

  • Bird's Eye view on overall course

  • Review on Basic Programming Techniques

  • Setting up the Environment

Week 2

  • Python Basics
  • Weekly Assignment - 1 (Skill measurement before course)

Week 3

  • Python Data Structures
  • NumPy
  • Weekly Assignment - 2 (Python Learning Badge Challenge)

Week 4

  • Data Science Pipeline
  • Web Scraping
  • Pandas
  • Discussion on Course Project Choice

Week 5

  • Matplotlib
  • Seaborn
  • Weekly Assignment - 3 (Data Analysis Challenge)

Week 6

  • Regular Expression
  • Data Visualization with Tableau

Week 7

  • Statistics Overview
  • Introduction to Machine Learning

Week 8

  • linear regression Overview
  • predict using linear regression

Week 9

  • logistic Regression overview
  • coding section

Week 10

  • SVM overview
  • coding section

Week 11

  • Naive bayes classifier overview
  • coding section