TJ-ML-tasks

This repository contains tasks related to the domain of Machine Learning.

All of the tasks require you to have python installed.

The structure of the repository is as follows:

Task 1: (Easy)

Task 2: (Medium)

Task 3: (Hard)

Resources:

These are all the resources you need to complete the tasks. You can try venturing beyond if you're curious.

Library Documentations: Numpy, Matplotlib, Pandas, OpenCV

Linear and Logistic Regression overview: click here

Task 1:

1. Youtube - Andrew Ng ML Lectures
2. Study Theory - Link 1, Link 2

Task 2:

1. Youtube - Click here
2. You can try this task using any online tutorial abundant on the internet. Just make sure you follow the instructions carefully. Judgement will be based on the understanding of what is happening in the code.

Task 3:

1. Youtube - Andrew Ng ML Lectures
2. Study Theory - Click here

PS: Don't copy from internet sources. It can be easily caught. ;)

Take a look here too ;)