[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集，构建以FM和LR为核心的电影推荐系统).
Machine Learning Is All You Need
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
Deep Math Machine Learning.ai
A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Machine Learning Models
Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
Ml Fraud Detection
Credit card fraud detection through logistic regression, k-means, and deep learning.
General Assembly's 2015 Data Science course in Washington, DC
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Fwumious Wabbit, fast on-line machine learning toolkit written in Rust
Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
A repository for recording the machine learning code
Coursera Ml Py
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
Ds and ml projects
Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.
I will update this repository to learn Machine learning with python with statistics content and materials
Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥
A distributed logistic regression system based on ps-lite.
A set of machine learning experiments in Clojure
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
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).
Tool that predicts the outcome of a Dota 2 game using Machine Learning
Simple machine learning library / 簡單易用的機器學習套件
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.
Generalized Analog Regression Downscaling (GARD) code
Field-aware factorization machine (FFM) with FTRL
An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
A sharing of the learning process of mathematical modeling 数学建模常用工具模型算法分享：数学建模竞赛优秀论文，数学建模常用算法模型，LaTeX论文模板，SPSS工具分享。