Skip to content

Latest commit

 

History

History
28 lines (20 loc) · 986 Bytes

README.md

File metadata and controls

28 lines (20 loc) · 986 Bytes

Data-Science---AI-ML-Practice

The AI/ML prediction practice projects is based on course works. It covers the following algorithoms.

Linear Regression

Predict USA Housing Price using sklearn Library

Predict USA Housing Price using numpy from scratch

Logistic Regression

Predict Titanic ship Survial chance

Random Forest and Decision Tree

Predict chance of Kyphosis

Support Vector Machine

Predict chance of Breast Cancer

Principle Component Analysis

Analysis breask cancer data and find out what strong influencer

Recommender System

Movie Recommender enginee using stochastic gradient descent, SVD, and user/item based collaborative filltering

Deep Learning

simple one layer and two layer neuro network build in less than 50 line of code!

Use TensorFlow deep learning algorithm to predict housing price in seattle

CNN - Convolutional Neural Network

Simple Convolutional Neural Network from scatch, with two layer ( convolutional and maxpool )