Course curriculum

    1. 01 - intro of, course instructor and AI sciences

    2. 04 - course overview

    3. 03 - Past, present and future of ML

    4. 02 - Motivation for course

    1. 06 - Outliars

    2. 03 - Dataset

    3. 09 - Accuracy, error

    4. 14 - Recap,flow of ML project

    5. 13 - Clustring

    6. 11 - types of ML

    7. 01 - intro to ML

    8. 02 - Kids vs computer learning

    9. 04 - Labels, Features

    10. 05 - Train test split

    11. 07 - Model, training

    12. 10 - Formates of data

    13. 12 - classification, regression

    14. 08 - over fitting, under fitting

    1. 01 - Hello World

    2. 02 - Intro to data types

    3. 05 - Tuples

    4. 03 - Numbers

    5. 08 - Sets

    6. 09 - Comparison operators

    7. 10 - Logical oprator,user input, game

    8. 11 - Decision making(if,elif,else)

    9. 12 - Decision making(nested if)

    10. 13 - Better coding practice, completing the game

    11. 07 - dictionaries

    12. 06 - Lists

    13. 15 - while loop

    14. 14 - For loop

    15. 04 - Strings

    16. 16 - Simple functions

    17. 17 - Boolian and value returning Function

    18. 18 - Calculator project

    1. 06 - pandas(2)

    2. 09 - Matplotlib(2)

    3. 01 - Intro to LR and motivation

    4. 15 - Decision Boundary

    5. 04 - numpy

    6. 03 - Intro to final project

    7. 10 - Dealing with missing values

    8. 05 - pandas(1)

    9. 02 - pros cons

    10. 14 - Sigmoid function

    11. 07 - Reading and manipulating dataset

    12. 18 - LR from scratch(1)

    13. 11 - outlier removal

    14. 12 - Categorical to numric

    15. 08 - Matplotlib(1)

    16. 21 - LR from scratch(4)

    17. 13 - Quick implementation of logistic regression

    18. 16 - Cost function

    19. 24 - binary to multiclass

    20. 17 - Gradient decent

    21. 25 - Concluding remarks

    22. 20 - LR from scratch(3)

    23. 19 - LR from scratch(2)

    24. 23 - LR from scratch(6)

    25. 22 - LR from scratch(5)

About this course

  • $199.99
  • 61 lessons
  • 8.5 hours of video content