Course curriculum

  • 1

    Let's get started here..!

    • Curriculum:- Machine Learning

    • Jupyter NoteBook Installation Guide

    • Know About Your Trainer

    • InMovidu+DataPerts - PYTHON BASICS
  • 2

    Module 1

    • Machine Learning Live Class 1
  • 3

    Module 2

    • Data Structure in Python

    • Control Flow and Loops in Python

    • Assignment 2: Practice and FAQ's

    • Machine Learning Live Session 2

  • 4

    Module 3

    • Machine Learning Live Session 3

  • 5

    Module 4

    • Machine Learning Live Session 4

  • 6

    Module 5

    • Machine Learning Live Session 5

    • Practice Statistics Question
  • 7

    Module 6

    • Machine Learning Live Session 6

  • 8

    Module 7

    • Machine Learning Live Session 7

  • 9

    Module 8

    • Machine Learning Live Session 8

  • 10

    Module 9

    • Machine Learning Live Session 9
  • 11

    Important Reading Material

    • Statistics

    • NUMPY

    • PANDAS
  • 12

    Module 10

    • Machine Learning Live Session 10
  • 13

    Module 11

    • Machine Learning Live Session 11
  • 14

    Module 12

    • Machine Learning Live Session 12

    • EDA Dataset
  • 15

    Reference Material

    • DataPerts - MATPLOTLIB

    • DataPerts - SEABORN

    • DataPerts - EDA

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

    • Session 2 - Skewness, Kurtosis, Descriptive Stats
  • 16

    Module 13

    • Machine Learning Live Session 13
  • 17

    Module 14

    • Machine Learning Live Session 14
  • 18

    Module 15

    • Machine Learning Live Session 15
  • 19

    Minor Project

    • Project Details

    • Problem Statement

    • Titanic Passenger ID
  • 20

    Module 16

    • Machine Learning Live Session 16
  • 21

    Module 17

    • Machine Learning Live Session 17
  • 22

    Module 18

    • Machine Learning Live Session 18
  • 23

    Module 19

    • Machine Learning Live Session 19
  • 24

    Module 20

    • Machine Learning Live Session 20(27th June 2020)
  • 25

    VERY IMPORTANT Instructions for Project Submission

    • Submission Deadline and Instructions

    • READ ME
  • 26

    ML_MinProj-SPC'20

    • Problem Statement

    • PROJECT TITLE - TITANIC_EDA_DATASET

    • Titanic Dataset

    • 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
  • 27

    Reference Material

    • 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