Code and files to go along with CS329s machine learning model deployment tutorial.

An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.

♂️♀️ Detect a person's gender from a voice file (90.7% +/- 1.3% accuracy).

Machine learning notes that make your reading easy

Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.

Classify movie posters by genre

An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

The original lightweight introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.

Text clustering with K-means and tf-idf

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.

Demonstrating unsupervised clustering using the K Means algorithm and synthetic color data.

Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and results from 102,944 sample games.

Workshop on Deep Learning for Health and Life Sciences

Use the K Nearest Neighbors algorithm to predict the probability of a divorce with high accuracy.

Predict diabetes disease using a Logistic Regression with TensorFlow.js

Learn Machine Learning with machine learning tutorials for beginners, ml practicals, ml excerices, Machine Learning Projects, Interview Questions

The repository contains exercises on Machine Learning algorithms in R, using RStudio. Used to dive into ML, data preprocessing, data visualisation, and data exploration.