Course curriculum

  • 1

    Let's get starter here...!

    • Student GuideBook

    • Know About Your Trainer

    • Jupyter NoteBook Installation Guide
  • 2

    Recorded Sessions

    • Artificial Intelligence Session 1

    • Artificial Intelligence Session 2

    • Artificial Intelligence Session 3

    • Artificial Intelligence Session 4.

    • Artificial Intelligence Session 5.

    • Artificial Intelligence Session 6.

    • Artificial Intelligence Session 7

    • Artificial Intelligence Session 8

    • Artificial Intelligence Session 9.

    • Artificial Intelligence Session 10.

    • Artificial Intelligence Session 11

    • Artificial Intelligence Session 12.

    • Artificial Intelligence Session 13.

    • Artificial Intelligence Session 14.

    • Artificial Intelligence Session 15.

    • Artificial Intelligence Session 16

    • Artificial Intelligence Session 17

    • Artificial Intelligence Session 18

    • Artificial Intelligence Session 19

    • Artificial Intelligence Session 20

    • Artificial Intelligence Session 21

    • Artificial Intelligence Session 22

    • Artificial Intelligence Session 23

    • Artificial Intelligence Session 24

    • Artificial Intelligence Session 25
  • 3

    Important Material:AI

    • 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

    Important reading material

    • Statistics

    • NUMPY

    • PANDAS
  • 5

    Reference Material

    • EDA Dataset

    • DataPerts - MATPLOTLIB

    • DataPerts - SEABORN

    • DataPerts - EDA

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

    • Session 2 - Skewness, Kurtosis, Descriptive Stats
  • 6

    Reference Material

    • Fruits

    • SLR_AdSpendVsSales

    • Multiple LR_Advertising_2_CategoricalVariables

    • InMovidu+DataPerts - SLR - AdSpendVsSales

    • Logistic Regression

    • Subscription

    • KNN Classification_1 - IRIS

    • KNN Classification - Fruits
  • 7

    Major project

    • Titanic.csv

    • Problem Statement

    • Project Submission Link
  • 8

    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