Recsys core[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.aiA blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
Machine learningEstudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Machine Learning ModelsDecision 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 DetectionCredit card fraud detection through logistic regression, k-means, and deep learning.
Dat8General Assembly's 2015 Data Science course in Washington, DC
Isl PythonSolutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Mnist ClassificationPytorch、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)
TextclfTextClf :基于Pytorch/Sklearn的文本分类框架,包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型,通过简单配置即可完成数据处理、模型训练、测试等过程。
Fwumious wabbitFwumious Wabbit, fast on-line machine learning toolkit written in Rust
Spark GbtlrHybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
Ml codeA repository for recording the machine learning code
Coursera Ml PyPython programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
BrihaspatiCollection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥
Dist LrA distributed logistic regression system based on ps-lite.
MlA set of machine learning experiments in Clojure
Jsmlt🏭 JavaScript Machine Learning Toolkit
Tensorflow BookAccompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Ytk LearnYtk-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).
Dota2 PredictorTool that predicts the outcome of a Dota 2 game using Machine Learning
Fuku MlSimple machine learning library / 簡單易用的機器學習套件
Kickstarter-AnticipatorThe 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.
GARDGeneralized Analog Regression Downscaling (GARD) code
Ftrl-FFMField-aware factorization machine (FFM) with FTRL
CreditAn example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
Mathematical-ModelingA 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。