timemachinesPredict time-series with one line of code.
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Wharton Stat 422 722The official class webpage for Statistics 422/722 taught at Wharton in the Spring of 2017
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Sales-PredictionIn depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.
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NDDDrug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
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Prediction-using-Bayesian-Neural-NetworkPrediction of continuous signals data and Web tracking data using dynamic Bayesian neural network. Compared with other network architectures aswell.
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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.
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NanodegreesNanodegree programs https://www.udacity.com/nanodegree
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datafsmMachine Learning Finite State Machine Models from Data with Genetic Algorithms
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MindsdbPredictive AI layer for existing databases.
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SuperCellPublic tutorials and code that accompanies articles
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allie🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).
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human-in-the-loop-machine-learning-tool-tornadoTornado is a human-in-the-loop machine learning framework that helps you exploit your unlabelled data to train models through a simple and easy to use web interface.
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SmtSurrogate Modeling Toolbox
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Data Science Live BookAn open source book to learn data science, data analysis and machine learning, suitable for all ages!
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Modelstudio📍 Interactive Studio for Explanatory Model Analysis
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Data Science WgSF Brigade's Data Science Working Group.
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MlrMachine Learning in R
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AnndotnetANNdotNET - deep learning tool on .NET Platform.
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MicromlpA micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
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Mlj.jlA Julia machine learning framework
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SkaterPython Library for Model Interpretation/Explanations
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Pyncov 19Pyncov-19: Learn and predict the spread of COVID-19
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DalexmoDel Agnostic Language for Exploration and eXplanation
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OpenchemOpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
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Pytorch CortexnetPyTorch implementation of the CortexNet predictive model
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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.
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Islr PythonAn Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
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ML2017FALLMachine Learning (EE 5184) in NTU
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ZS-Data-Science-ChallengeA Data science challenge - "Mekktronix Sales Forecasting" organised by ZS through Hackerearth platform. Rank: 223 out of 4743.
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fireTSA python multi-variate time series prediction library working with sklearn
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Market-Mix-ModelingMarket Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
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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.
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CASTDeveloper Version of the R package CAST: Caret Applications for Spatio-Temporal models
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learnrExploratory, Inferential and Predictive data analysis. Feel free to show your ❤️ by giving a star ⭐
Stars: ✭ 64 (+300%)
BASBAS R package https://merliseclyde.github.io/BAS/
Stars: ✭ 36 (+125%)
solar-forecasting-RNNMulti-time-horizon solar forecasting using recurrent neural network
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KaggleKaggle Kernels (Python, R, Jupyter Notebooks)
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Customer segmentationAnalysing 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.
Stars: ✭ 80 (+400%)
pfaPortable Format for Analytics
Stars: ✭ 28 (+75%)
xcastA High-Performance Data Science Toolkit for the Earth Sciences
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DatscanDatScan is an initiative to build an open-source CMS that will have the capability to solve any problem using data Analysis just with the help of various modules and a vast standardized module library
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student-grade-analyticsAnalyse academic and non-academic information of students and predict grades
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Corona-Tracker-BotDiscord bot for coronavirus (COVID-19) , With Ai [Machine learning algorithms] integrated into it
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vlainic.github.ioMy GitHub blog: things you might be interested, and probably not...
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