352 Open source projects that are alternatives of or similar to ZS-Data-Science-Challenge

Launch machine learning models into production using flask, docker etc.

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.

A comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python

This repository contains notes and projects of Data scientist track from dataquest course work.

An intelligently dumb calculator that uses machine learning

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

A repo to explain algorithm in machine learning with CHINESE

anomaly detection with anomalize and Google Trends data

This is 100 days of competitive coding challenege . You have details of all the problem and solution that I will be solving daily for 100 days consecutively . I have added link to all the questions in read me according to days , you can try solving on your own before watching solution .

The simplest Perceptron you'll ever see

Spark-Transformers: Library for exporting Apache Spark MLLIB models to use them in any Java application with no other dependencies.

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

🙌Kart of 210+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.

machine learning practitioner， android and python

Examples how MLJAR can be used

PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

Darwin C++ and Python Machine Learning Framework for Cyber Security

Emerging Technologies Project - 4th Year 2017

subsemble R package for ensemble learning on subsets of data

this resporatory have ml,ai,nlp,data science etc.python language related material from many websites eg. datacamp,geeksforgeeks,linkedin,youtube,udemy etc. also it include programming challange/competion solutions

PROSAC algorithm in python

This a JavaScript Library for the Numerical Javascript and Machine Learning

Implemented a Convolutional Neural Network for end-to-end driving in a simulator using Tensorflow and Keras. The project involves training over 13,000 images in a unity3d simulator to steer the car successfully throughout the track

Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R

Exploratory, Inferential and Predictive data analysis. Feel free to show your ❤️ by giving a star ⭐

In this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix factorization-based ( SVD, PMF, SVD++, NMF), and many others.

Subjective answer evaluation using machine learning. Give your answers at this link ->

A notebook for machine learning interview

This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).

Taller SparkR para las Jornadas de Usuarios de R

shell script for openCV installation and configuration in linux based system. Most easy way to configue openCV, you only need to run opencv.sh shell file.

An intuitive implementation of spectral clustering on matlab

Examples of using Neptune to keep track of your experiments (maintenance only).

Continuously Learning Artificial Intelligence Rules Engine (Claire) for Smart Homes

https://machinelearning.wtf/ - An online glossary of machine learning terms.

All content related to machine learning from my blog

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.

The easiest way to optimize Facebook Ads using Upper Confidence Bound Algorithm. 💻

A collection of Methods and Models for various architectures of Artificial Neural Networks

Teach you how to implement machine learning algorithms

Implementations of normalizing flows using python and tensorflow

All the code for a series of Medium articles on Approximate Nearest Neighbors

Code to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.

Fake News Detection Final Year College Project with Project Report, PPT, Code, Research Paper and Documents.

Tensorflow implementation of the Restricted Boltzmann Machine

Using Kalman Filter to Predict Corona Virus Spread

🏆 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.

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

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.

ExCon: Explanation-driven Supervised Contrastive Learning

No description or website provided.

Python Clustering Algorithms

Public home of pycorels, the python binding to CORELS

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

Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.

A python multi-variate time series prediction library working with sklearn

Implementation of the reweighted wake-sleep machine learning algorithm

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