Generalized Analog Regression Downscaling (GARD) code

Source code for my blog post "Getting started with TensorFlow on iOS"

A curated list of data mining papers about fraud detection.

Python code for common Machine Learning Algorithms

Plain python implementations of basic machine learning algorithms

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

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

📈 Regression and Classification with UC Davis student quiz data and exam data

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

Tracking, notes and programming snippets while learning predictive analytics

Simple machine learning library / 簡單易用的機器學習套件

Tool that predicts the outcome of a Dota 2 game using Machine Learning

文本分类基准测试

The main aim of this project is to tell that the certain project will be successful or it will fail by applying machine learning algorithm. In this , LOGISTIC REGRESSION is used to determine the success of the project by splitting the data into training and testing models and predicting a successful one.

100 Days of ML Coding

Field-aware factorization machine (FFM) with FTRL

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

An Interactive Approach to Understanding Deep Learning with Keras

A set of machine learning experiments in Clojure

🏭 JavaScript Machine Learning Toolkit