298 Open source projects that are alternatives of or similar to Kickstarter-Anticipator

Implementation of a Partial Least Squares Regressor

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

🎓 Tidy tools for academics

An Interactive Approach to Understanding Deep Learning with Keras

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

In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language

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

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

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

Multiple Regression Package for PHP

Generalized Analog Regression Downscaling (GARD) code

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

Fast & numerically stable statistical analysis

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

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

A PureScript, browser-based implementation of simple linear regression.

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

Machine Learning models from scratch with a better visualisation

[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)

No description or website provided.

This is a Project Page of 'Towards a complete 3D morphable model of the human head'

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…

Field-aware factorization machine (FFM) with FTRL

simple tutorial on Machine Learning with Scikitlearn

Machine Learning Course @ Santa Clara University

Official implementation of the paper "PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction" by Eli Simhayev, Gilad Katz and Lior Rokach

Hurdle Distributed Multinomial Regression (HDMR) implemented in Julia

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。

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking

💪 🤔 Modern Super Learning with Machine Learning Pipelines

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

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

Developed a supervised machine learning system that can estimate a country's GDP per capita using regression algorithms.

ImVisible: Pedestrian Traffic Light Dataset, Neural Network, and Mobile Application for the Visually Impaired (CAIP '19, ICCVW'19)

经典机器学习算法的极简实现

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

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

R Code Examples Multi-dimensional/Panel Data

cheat sheet for Artificial Intelligence

🏆 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.

Perform statistics on Mixpanel API data

Variational Bayes linear and logistic regression

Online machine learning methods

Heart Disease Analysis repository

BAS R package https://merliseclyde.github.io/BAS/

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

A Julia package for estimating ARMA-GARCH models.

Interactive Visual Machine Learning Demos.

Vectorized Machine Learning in Python 🐍 From Scratch

Journal-style regression tables

Loan Application Data Analysis

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

Julia's HPC command for automatic feature/model selection using all-subset-regression approaches

tiny fast portable real-time deep neural network for regression and classification within 50 LOC.

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

ugtm: a Python package for Generative Topographic Mapping

Data science investigations into the mechanics of the world's greatest role playing game

CRAN R Package: Ridge Regression with automatic selection of the penalty parameter

Project work and Assignments for Machine learning specialization course on Coursera by University of washington