Course curriculum

  • 1

    Let's Get Started Here!

    • Know Your Trainer: Mr Ankur Khanna!

    • Important: Mandatory installation of Jupyter Notebook before your first session

    • Machine Learning Live Class 1 (05-05-20)
  • 2

    Module 1: Python

    • Machine Learning Live Class 1 (05-05-20)

    • Assignment 1: Python Basics
  • 3

    Module 1: Python Basics Continued

    • Data Structure in Python

    • Control Flow and Loops in Python

    • Assignment 2: Practice and FAQ's

    • Machine Learning Live Session 2 (7th May 2020)
  • 4

    Module 3

    • Machine Learning Live Session 3 (9th May 2020)
  • 5

    Module 4

    • Machine Learning Live Session 4 (12th May 2020)
  • 6

    Module 5

    • Machine Learning Live Session 5 (14th May 2020)

    • Practice Statistics Question
  • 7

    Module 6

    • Machine Learning Live Session 6 (16th May 2020)
  • 8

    Module 7

    • Machine Learning Live Session 7 (19th May 2020)
  • 9

    Feedback Form

    • Feedback Form
  • 10

    Module 8

    • Machine Learning Live Session 8 (21st May 2020)
  • 11

    Module 9

    • Machine Learning Live Session 9(23rd May 2020)
  • 12

    Important Reading Material

    • Statistics

    • NUMPY

    • PANDAS
  • 13

    Module 10

    • Machine Learning Live Session 10(26th May 2020)
  • 14

    Module 11

    • Copy of Machine Learning Live Session 11(28th May 2020)
  • 15

    Module 12

    • Machine Learning Live Session 12(2nd June 2020)

    • EDA Dataset
  • 16

    Reference Material

    • DataPerts - MATPLOTLIB

    • DataPerts - SEABORN

    • DataPerts - EDA

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

    • Session 2 - Skewness, Kurtosis, Descriptive Stats
  • 17

    Module 13

    • Machine Learning Live Session 13(4th June 2020)
  • 18

    Module 14

    • Machine Learning Live Session 14(6th June 2020)
  • 19

    Module 15

    • Machine Learning Live Session 15(9th June 2020)
  • 20

    Minor Project

    • Project Details

    • Problem Statement

    • Titanic Passenger ID
  • 21

    Module 16

    • Machine Learning Live Session 16(11th June 2020)
  • 22

    Module 17

    • Machine Learning Live Session 17(13th June 2020)
  • 23

    Module 18

    • Machine Learning Live Session 18(16th June 2020)
  • 24

    ML_MAY2020_MinProj

    • PROJECT TITLE - TITANIC_EDA_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
  • 25

    Module 19

    • Machine Learning Live Session 19(25th June 2020)
  • 26

    Module 20

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

    Important 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