163 Open source projects that are alternatives of or similar to VBLinLogit

Clustering with variational Bayes and population Monte Carlo

🏆 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.

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

Bare bone examples of machine learning in TensorFlow

For extensive instructor led learning

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

No description or website provided.

Machine Learning Procedures and Functions for Neo4j

Single-cell Hierarchical Poisson Factorization

A day to day plan for this challenge. Covers both theoritical and practical aspects

Basic Machine Learning implementation with python

⭐️ Univariate Linear Regression with Gradient Descent in JavaScript (Vectorized)

Sentiment Analysis & Topic Modeling with Amazon Reviews

Multiple Regression Package for PHP

gesture recognition toolkit

Code for Java Deep Learning Cookbook

A MATLAB toolbox for classifier: Version 1.0.7

A simple machine learning framework written in Swift 🤖

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

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

Julia package for automatic Bayesian inference on a factor graph with reactive message passing

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.

Quick-Data-Science-Experiments

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

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

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

Benchmarking and Visualization Toolkit for Penalized Cox Models

Multivariable regression library in Go

SecMML: Secure MPC(multi-party computation) Machine Learning Framework

Machine Learning Lectures at the European Space Agency (ESA) in 2018

a collection of modern sparse (regularized) linear regression algorithms.

Regression, Scrapers, and Visualization

Heart Disease prediction using 5 algorithms

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

15+ Machine/Deep Learning Projects in Ipython Notebooks

Stock price trend prediction with news sentiment analysis using deep learning

Machine Learning models from scratch with a better visualisation

Code for Tensorflow Machine Learning Cookbook

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

Information Retrieval in High Dimensional Data (class deliverables)

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

Predict housing prices in Portland, Oregon for selling or buying house

Collection of notebooks about quantitative finance, with interactive python code.

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น [2020]

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

A gentle introduction to machine learning: data handling, linear regression, naive bayes, clustering

Scalable sparse Bayesian learning for large CS recovery problems

A simple implementation of the LOESS algorithm using numpy

Six snippets of code that made deep learning what it is today.

Using Computer with your Statistics Major Course

A simple movie recommendation engine

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…

This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.

Demo of basic machine learning models in python with Jupter Notebook

🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .

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

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

📈 Useful notes and personal collections on statistics.

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…

bitcoin prediction algorithms