FIFA-2019-AnalysisThis is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other related things using Data Analysis and Data Visualizations
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50-days-of-Statistics-for-Data-ScienceThis repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.
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featurewizUse advanced feature engineering strategies and select best features from your data set with a single line of code.
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skutilNOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for python). See more here: https://tgsmith61591.github.io/skutil
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Machine Learning Workflow With PythonThis is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
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Auto ml[UNMAINTAINED] Automated machine learning for analytics & production
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Drugs Recommendation Using ReviewsAnalyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
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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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dominance-analysisThis package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.
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skrobotskrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
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sklearn-audio-classificationAn in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
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feature engineFeature engineering package with sklearn like functionality
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RemixautomlR package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.
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NVTabularNVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
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msdaLibrary for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector
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Hyperparameter hunterEasy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
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orderedEntropy-controlled contexts in Python
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BallStatistical Inference and Sure Independence Screening via Ball Statistics
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AutoTSAutomated Time Series Forecasting
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forecastVegA Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
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scibloxsciblox - Easier Data Science and Machine Learning
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maskmathAn Explorable Essay on How Masks Can End COVID-19
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tymonAn AI Assistant More Than a Toolkit
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mathematics-statistics-for-data-scienceMathematical & 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.
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get smartiesDummy variable generation with fit/transform capabilities
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kaggle-berlinMaterial of the Kaggle Berlin meetup group!
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enmSdmFaster, better, smarter ecological niche modeling and species distribution modeling
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rps-cvA Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi
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foreshadowAn automatic machine learning system
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L0LearnEfficient Algorithms for L0 Regularized Learning
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hydrotoolsSuite of tools for retrieving USGS NWIS observations and evaluating National Water Model (NWM) data.
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bessBest Subset Selection algorithm for Regression, Classification, Count, Survival analysis
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mlBase machine learning image and environment.
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Harris-Hawks-Optimization-Algorithm-and-ApplicationsSource codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).
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t8codeParallel algorithms and data structures for tree-based AMR with arbitrary element shapes.
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Cleaner.jlA toolbox of simple solutions for common data cleaning problems.
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OpenMASOpenMAS is an open source multi-agent simulator based in Matlab for the simulation of decentralized intelligent systems defined by arbitrary behaviours and dynamics.
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DTAThis repository documents MATLAB implementation of a dynamic user equilibrium solver, including a dynamic network loading sub-routine
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Decision-Tree-ImplementationA python 3 implementation of decision tree (machine learning classification algorithm) from scratch
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KivyMLAppThe repository host the API for the ML model via FastAPI, Flask and contains android app development files using KivyMD.
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carvemeCarveMe: genome-scale metabolic model reconstruction
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GraphOfDocsGraphOfDocs: Representing multiple documents as a single graph
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clinkClink is a library that provides APIs and infrastructure to facilitate the development of parallelizable feature engineering operators that can be used in both C++ and Java runtime.
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EvolutionaryForestAn open source python library for automated feature engineering based on Genetic Programming
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fengfeng - feature engineering for machine-learning champions
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trt pose handReal-time hand pose estimation and gesture classification using TensorRT
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hodur-visualizer-schemaHodur is a domain modeling approach and collection of libraries to Clojure. By using Hodur you can define your domain model as data, parse and validate it, and then either consume your model via an API or use one of the many plugins to help you achieve mechanical results faster and in a purely functional manner.
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Word2VecAndTsneScripts demo-ing how to train a Word2Vec model and reduce its vector space
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merkalysisA marketing tool that helps you to market your products using organic marketing. This tool can potentially save you 1000s of dollars every year. The tool predicts the reach of your posts on social media and also suggests you hashtags for captions in such a way that it increases your reach.
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scikitcrf NERPython library for custom entity recognition using Sklearn CRF
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