100 Open source projects that are alternatives of or similar to Heart-Disease-Analysis-and-Prediction

Heart Disease prediction using 5 algorithms

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

General Assembly's 2015 Data Science course in Washington, DC

🔥🌟《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!

Multiple Regression Package for PHP

A New, Interactive Approach to Learning Python

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

No description or website provided.

TextClf ：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。

Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Collection of stats, modeling, and data science tools in Python and R.

Information Retrieval in High Dimensional Data (class deliverables)

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

🎓 Tidy tools for academics

machine learning algorithm

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

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）

A sentiment classifier on mixed language (and mixed script) reviews in Tamil, Malayalam and English

Fwumious Wabbit, fast on-line machine learning toolkit written in Rust

Matlab library for gradient descent algorithms: Version 1.0.1

Gender recognition by voice and speech analysis

Deep Learning From Scratch

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

several methods for text classification

Quick-Data-Science-Experiments

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

No description or website provided.

A Survey and Experiments on Annotated Corpora for Emotion Classification in Text

No description or website provided.

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

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

I will update this repository to learn Machine learning with python with statistics content and materials

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

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

Credit card fraud detection through logistic regression, k-means, and deep learning.

Loan Application Data Analysis

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

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

Learning to create Machine Learning Algorithms

Pipeline for fast building text classification TF-IDF + LogReg baselines.

✌️ 👌 ✊ 📷 Sign Language Recognition using Python

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

Text Classification Algorithms: A Survey

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

A repository for recording the machine learning code

Python implementation of Andrew Ng's ML course projects

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

Online decorrelation of humidity and temperature in chemical sensors for continuous monitoring

[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).

Interactive Visual Machine Learning Demos.

Predicting the winner of 2019 cricket world cup using random forest algorithm

Sentiment Analysis & Topic Modeling with Amazon Reviews

An introductory statistics course for social scientists, using Stata

Fake News Detection in Python