Mlj.jlA Julia machine learning framework
Stars: ✭ 982 (+2484.21%)
SkaterPython Library for Model Interpretation/Explanations
Stars: ✭ 973 (+2460.53%)
Pyncov 19Pyncov-19: Learn and predict the spread of COVID-19
Stars: ✭ 20 (-47.37%)
DalexmoDel Agnostic Language for Exploration and eXplanation
Stars: ✭ 795 (+1992.11%)
OpenchemOpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Stars: ✭ 356 (+836.84%)
Pytorch CortexnetPyTorch implementation of the CortexNet predictive model
Stars: ✭ 349 (+818.42%)
Retentioneering ToolsRetentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, AB tests, machine learning, and Monte Carlo Markov Chain simulations, extending Pandas, Networkx and sklearn.
Stars: ✭ 291 (+665.79%)
Islr PythonAn Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Stars: ✭ 3,344 (+8700%)
ML2017FALLMachine Learning (EE 5184) in NTU
Stars: ✭ 66 (+73.68%)
ZS-Data-Science-ChallengeA Data science challenge - "Mekktronix Sales Forecasting" organised by ZS through Hackerearth platform. Rank: 223 out of 4743.
Stars: ✭ 21 (-44.74%)
fireTSA python multi-variate time series prediction library working with sklearn
Stars: ✭ 62 (+63.16%)
Market-Mix-ModelingMarket Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
Stars: ✭ 31 (-18.42%)
Recommender-SystemIn 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.
Stars: ✭ 30 (-21.05%)
CASTDeveloper Version of the R package CAST: Caret Applications for Spatio-Temporal models
Stars: ✭ 65 (+71.05%)
learnrExploratory, Inferential and Predictive data analysis. Feel free to show your ❤️ by giving a star ⭐
Stars: ✭ 64 (+68.42%)
BASBAS R package https://merliseclyde.github.io/BAS/
Stars: ✭ 36 (-5.26%)
solar-forecasting-RNNMulti-time-horizon solar forecasting using recurrent neural network
Stars: ✭ 29 (-23.68%)
KaggleKaggle Kernels (Python, R, Jupyter Notebooks)
Stars: ✭ 26 (-31.58%)
mljar-api-RR wrapper for MLJAR API
Stars: ✭ 16 (-57.89%)
NDDDrug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
Stars: ✭ 25 (-34.21%)
timemachinesPredict time-series with one line of code.
Stars: ✭ 342 (+800%)
Statistical-Learning-using-RThis 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.
Stars: ✭ 27 (-28.95%)
datafsmMachine Learning Finite State Machine Models from Data with Genetic Algorithms
Stars: ✭ 14 (-63.16%)
SmtSurrogate Modeling Toolbox
Stars: ✭ 233 (+513.16%)
Data Science Live BookAn open source book to learn data science, data analysis and machine learning, suitable for all ages!
Stars: ✭ 193 (+407.89%)
Modelstudio📍 Interactive Studio for Explanatory Model Analysis
Stars: ✭ 163 (+328.95%)
Data Science WgSF Brigade's Data Science Working Group.
Stars: ✭ 135 (+255.26%)
MlrMachine Learning in R
Stars: ✭ 1,542 (+3957.89%)
AnndotnetANNdotNET - deep learning tool on .NET Platform.
Stars: ✭ 109 (+186.84%)
MicromlpA micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
Stars: ✭ 92 (+142.11%)