dota2-prediction-models

The "Python Machine Learning (1st edition)" book code repository and info resource

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

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

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

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

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

Gender recognition by voice and speech analysis

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).

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

[推荐系统] Based on the scoring data set, the recommendation system is built with FM and LR as the core(基于评分数据集，构建以FM和LR为核心的推荐系统).