/ML-Training

Primary LanguageJupyter Notebook

ML-Training

1st Training

Simple training for me to learn the fundamentals of Machine Learning
Dataset

2nd Training

This training is based on a book Hands-On Machine Learning with Scikit Learn and TensorFlow and for me to be able to understand more effectively I rewrite the code and experimenting with the given code by myself

The hands-on project i have done in this training are :

  1. California estate - predicting california price based on the location and other things

  2. MNIST - the goal in this training is to enables machines to recognize handwritten digits.

  3. Titanic Survival Project - in this project I'm predicting whether someone would have survived if they were in the titanic ship.

3rd Training

Learning how KNN algorithms work and try to implement it by predicting Car quality based on the car feature
Dataset