Basic ML Implementations (Any Topic)

[abhinand5]

Implementation of Basic ML stuff (from scratch or without extensive use of higher-level functions)

Description

If you think you can write notebook/scripts that can vastly help beginners understand the ins outs of the chosen ML algorithm/problem. Please go ahead and reply in this thread.

Instructions

• Use Python
• Don't make a pull request unless you are assigned with the task.
• Add your file in an appropriate folder with README.md in it. Add requirements.txt if needed.
• Exclude data files or saved model files if they are more than 20MB but include the scripts to automatically download or point to a source.
• Use proper coding guidelines

Note: If you are making changes to existing code, you're welcome, but clearly mention these things

• What changes have been made?
• Why the changes have been made?
• How is the new change better?

In Progress:

• [x] Intro to ML with Titanic Dataset - @vibhorkrishna
• [x] Basic ANN implementation for Housing Price Prediction - @Gunnika
• [x] Text Classification using LSTM & GloVe - @arunpandian7