Ml ProjectsML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
Stars: ✭ 127 (+876.92%)
ShifuAn end-to-end machine learning and data mining framework on Hadoop
Stars: ✭ 207 (+1492.31%)
Awesome Decision Tree PapersA collection of research papers on decision, classification and regression trees with implementations.
Stars: ✭ 1,908 (+14576.92%)
erpnextswissERPNext application for Switzerland-specific use cases
Stars: ✭ 58 (+346.15%)
cqrConformalized Quantile Regression
Stars: ✭ 152 (+1069.23%)
25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
Stars: ✭ 53 (+307.69%)
ChefboostA Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python
Stars: ✭ 176 (+1253.85%)
Benchm MlA minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Stars: ✭ 1,835 (+14015.38%)
ultimateMICR-SDKBank check information extraction/OCR from Magnetic Ink Character Recognition [MICR] (E-13B & CMC-7) using deep learning
Stars: ✭ 42 (+223.08%)
terms-dictionarySimple definitions of terms, acronyms, abbreviations, companies, and projects related to financial services and Moov.
Stars: ✭ 48 (+269.23%)
Orange3🍊 📊 💡 Orange: Interactive data analysis
Stars: ✭ 3,152 (+24146.15%)
GcforestThis is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
Stars: ✭ 1,214 (+9238.46%)
pykitmlMachine Learning library written in Python and NumPy.
Stars: ✭ 26 (+100%)
Edarfexploratory data analysis using random forests
Stars: ✭ 62 (+376.92%)
InfiniteboostInfiniteBoost: building infinite ensembles with gradient descent
Stars: ✭ 180 (+1284.62%)
Cnn Svm ClassifierUsing Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
Stars: ✭ 33 (+153.85%)
banksterAn IBAN account numbers and BIC validation tool for Elixir.
Stars: ✭ 28 (+115.38%)
Machine Learning Is All You Need🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
Stars: ✭ 173 (+1230.77%)
Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+16800%)
H2o 3H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Stars: ✭ 5,656 (+43407.69%)
Machine Learning In RWorkshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
Stars: ✭ 144 (+1007.69%)
loloA random forest
Stars: ✭ 37 (+184.62%)
Decision Tree JsSmall JavaScript implementation of ID3 Decision tree
Stars: ✭ 253 (+1846.15%)
Isl PythonSolutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Stars: ✭ 108 (+730.77%)
Predicting real estate prices using scikit LearnPredicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
Stars: ✭ 78 (+500%)
QuickmlA fast and easy to use decision tree learner in java
Stars: ✭ 230 (+1669.23%)
SporfThis is the implementation of Sparse Projection Oblique Randomer Forest
Stars: ✭ 70 (+438.46%)
eForestThis is the official implementation for the paper 'AutoEncoder by Forest'
Stars: ✭ 71 (+446.15%)
RoffildlibraryLibrary for MQL5 (MetaTrader) with Python, Java, Apache Spark, AWS
Stars: ✭ 63 (+384.62%)
Stock Market Sentiment AnalysisIdentification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka
Stars: ✭ 56 (+330.77%)
ibanditConvert national banking details into IBANs, and vice-versa.
Stars: ✭ 90 (+592.31%)
TpotA Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Stars: ✭ 8,378 (+64346.15%)
Tensorflow Ml Nlp텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)
Stars: ✭ 176 (+1253.85%)
Mljar SupervisedAutomated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
Stars: ✭ 961 (+7292.31%)
Jsmlt🏭 JavaScript Machine Learning Toolkit
Stars: ✭ 22 (+69.23%)
RandomforestexplainerA set of tools to understand what is happening inside a Random Forest
Stars: ✭ 175 (+1246.15%)
Grtgesture recognition toolkit
Stars: ✭ 739 (+5584.62%)
js-sdkJavaScript SDK for connecting to Kontist
Stars: ✭ 13 (+0%)
Machine Learning ModelsDecision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
Stars: ✭ 160 (+1130.77%)
banksterMoney Creation Made Easy
Stars: ✭ 30 (+130.77%)
Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-LearnFormed 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…
Stars: ✭ 41 (+215.38%)
AIML-ProjectsProjects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
Stars: ✭ 85 (+553.85%)
EmlearnMachine Learning inference engine for Microcontrollers and Embedded devices
Stars: ✭ 154 (+1084.62%)