98 Open source projects that are alternatives of or similar to Dist Lr

Loan Application Data Analysis

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.

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。

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

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.

Generalized Analog Regression Downscaling (GARD) code

Sentiment Analysis & Topic Modeling with Amazon Reviews

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

Quick-Data-Science-Experiments

TensorFlow-based implementation of (Gaussian) Mixture Model and some other examples.

Machine Learning models from scratch with a better visualisation

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

Python code for common Machine Learning Algorithms

Heart Disease Analysis repository

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

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

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

Information Retrieval in High Dimensional Data (class deliverables)

A curated list of data mining papers about fraud detection.

Matlab library for gradient descent algorithms: Version 1.0.1

Machine Learning Course @ Santa Clara University

No description or website provided.

Plain python implementations of basic machine learning algorithms

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…

机器学习-Coursera-吴恩达- python+Matlab代码实现

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

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

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

A Python package to build predictive linear and logistic regression models focused on performance and interpretation

文本分类基准测试

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

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.

Interactive Visual Machine Learning Demos.

100 Days of ML Coding

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

Field-aware factorization machine (FFM) with FTRL

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

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

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

simple tutorial on Machine Learning with Scikitlearn

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

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

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

经典机器学习算法的极简实现

An introductory statistics course for social scientists, using Stata

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).

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

Variational Bayes linear and logistic regression

Multiple Regression Package for PHP

Tracking, notes and programming snippets while learning predictive analytics

Heart Disease prediction using 5 algorithms

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

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

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

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

An Interactive Approach to Understanding Deep Learning with Keras

A set of machine learning experiments in Clojure

🏭 JavaScript Machine Learning Toolkit

Java version of LIBLINEAR

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.