Disease Prediction based on Symptoms.

A pattern focusing on how to use scikit learn and python in Watson Studio to predict opioid prescribers based off of a 2014 kaggle dataset.

An evaluation of word-embeddings for classification

Science des Données Saison 5: Technologies pour l'apprentissage automatique / statistique de données massives et l'Intelligence Artificielle

Use Machine Learning to Predict Bank Client's CD Purchase with XGBoost and Scikit Learn in Watson Studio

🐍 Data Science Boot-Camp : UC San DiegoX

Read and form trajectories. Find most similar using similarity measures such as DTW and LCSS. Then we classify them.

Uber is interested in predicting rider retention. To help explore this question, they have provided a sample dataset of a cohort of users.

IEEE "Invited Talk on Deep Learning" 03/02/2018

Implemented text analysis using machine learning models to classify movie review sentiments as positive or negative. Built using Python 3.6.1.

Neural network/Haar cascade trained self-driving RC car using Raspberry Pi

Open source malware detection program using machine learning algorithms on system call traces.

Leaf Disease Detection using Image Processing and Deep Learning

Building Fake News Detection using Angular 6 in the frontend, Node JS in Backend to build API using Express JS and Python Scikit Learn machine learning package for detecting Fake News.

Smart agricultural system to recommend most profitable crops to farmers

Machine Learning Project using Kaggle dataset

Cheatsheets for data science and machine learning beginners

An iris classification Pachyderm pipeline written in Python.

Results and plots replications for paper in prediction of Intrinsic Connectivity Networks in task versus resting fMRI

Deep Learning Machine Learning Cheat Sheets, Python Pandas, SciPy

Supervised Machine Learning Classification Algorithms using Python and R (Logistic Regression, Decision Tree, Random Forest, SVM)

Jupyter notebook that outlines the process of creating a machine learning predictive model. Predicts the peak "Wins Shared" by the current draft prospects based on numerous features such as college stats, projected draft pick, physical profile and age. I try out multiple models and pick the best performing one for the data from my judgement.

My capstone project for Udacity Machine Learning Nanodegree

Multiple Model Ensembling

✌️ ✌️ A skin detection program that detects human skin using Naive Bayes algorithm

Easy to understand classification problem from a highly skewed kaggle dataset. Solved using logistic regression and SVM, code inspired from top contributor.

Exercise files for Python SciKit Learn Machine Learning Training

It is simple face classification using the Oliviet face dataset and Support Vector Machine.