Course curriculum

  • 1

    Let's get started here..!

    • Student GuideBook

    • Know About Your Trainer

    • Jupyter NoteBook Installation Guide

    • MACHINE LEARNING THE BIG FUTURE: INTRODUCTION AND SCOPE
  • 2

    Recorded Sessions

    • Machine Learning Session 1

    • Machine Learning Session 2

    • Machine Learning Session 3

    • Machine Learning Session 4

    • Machine Learning Session 5

    • Machine Learning Session 6
  • 3

    Important Reference

    • Assignment 1: Python Basics

    • Data Structure in Python

    • Control Flow and Loops in Python

    • Assignment 2: Practice and FAQ's

    • Practice Statistics Question

    • Statistics
  • 4

    Recorded Sessions

    • Machine Learning Live Session 7

    • Machine Learning Live Session 8

    • Machine Learning Live Session 9

    • Machine Learning Live Session 10

    • Machine Learning Live Session 11

    • Machine Learning Live Session 12

    • Machine Learning Live Session 13

    • Machine Learning Live Session 14

    • Machine Learning Live Session 15

    • Machine Learning Live Session 16

    • Machine Learning Live Session 16

    • Machine Learning Live Session 17

    • Machine Learning Live Session 18
  • 5

    Read me 1

    • Statistics

    • NUMPY

    • PANDAS
  • 6

    Read Me 2

    • EDA Dataset

    • DataPerts - MATPLOTLIB

    • DataPerts - SEABORN

    • DataPerts - EDA

    • Session 1 - Types of Data, Measures of Central & Dispersion_stats

    • Session 2 - Skewness, Kurtosis, Descriptive Stats
  • 7

    Reference 1

    • Fruits

    • SLR_AdSpendVsSales

    • Multiple LR_Advertising_2_CategoricalVariables

    • InMovidu+DataPerts - SLR - AdSpendVsSales

    • Multiple LR_Advertising_Categorical

    • Logistic Regression

    • Subscription

    • KNN Classification_1 - IRIS

    • KNN Classification - Fruits
  • 8

    Reference 2

    • 01 - Decision Tree Basics.html

    • 03- Decision Tree - Diabetes (1).html

    • 01 - Random Forest - Introduction.html

    • 02 - Random Forest Classification - Social Network Ads.html

    • 01 - Clustering - Introduction.html

    • KMeans_Case Study1_CreditCard.html

    • KMeans_Case Study2_Seeds.html

    • Hierarchical_Case Study1_CreditCard.html

    • Hierarchical_Case Study2_seeds.html

    • Diabetes.csv

    • Social Network Ads

    • creditcard.csv

    • seeds.csv
  • 9

    Project

    • Problem Statement

    • Titanic.csv

    • Project Submission Link