machine learningA gentle introduction to machine learning: data handling, linear regression, naive bayes, clustering
Stars: ✭ 22 (+37.5%)
NimbusML-SamplesSamples for NimbusML, a Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.
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data-science-learning📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.
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machine-learning-capstone-projectThis is the final project for the Udacity Machine Learning Nanodegree: Predicting article retweets and likes based on the title using Machine Learning
Stars: ✭ 28 (+75%)
Quora question pairs NLP KaggleQuora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training
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A-Detector⭐ An anomaly-based intrusion detection system.
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converseConversational text Analysis using various NLP techniques
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ICC-2019-WC-predictionPredicting the winner of 2019 cricket world cup using random forest algorithm
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do-it-dl<Do it! 딥러닝 입문> 도서의 주피터 노트북
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ray tutorialAn introductory tutorial about leveraging Ray core features for distributed patterns.
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pyclustertendA python package to assess cluster tendency
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booksA collection of online books for data science, computer science and coding!
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topometryA comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.
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dbt-ml-preprocessingA SQL port of python's scikit-learn preprocessing module, provided as cross-database dbt macros.
Stars: ✭ 128 (+700%)
datascienvdatascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
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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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handson-ml도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
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sklearn-oblique-treea python interface to OC1 and other oblique decision tree implementations
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mindwareAn efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
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Football Prediction ProjectThis project will pull past game data from api-football, and use these statistics to predict the outcome of future premier league matches through machine learning.
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PyRCNA Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.
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opfunuA collection of Benchmark functions for numerical optimization problems (https://opfunu.readthedocs.io)
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kaggle-titanicTitanic assignment on Kaggle competition
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kdd99-scikitSolutions to kdd99 dataset with Decision tree and Neural network by scikit-learn
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five-minute-midasPredicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit
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nba-analysisUsing machine learning libraries to analyze NBA data
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abessFast Best-Subset Selection Library
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centrifuge-toolkitTool for visualizing and empirically analyzing information encoded in binary files
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MachineLearningImplementations of machine learning algorithm by Python 3
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scikit-activemlOur package scikit-activeml is a Python library for active learning on top of SciPy and scikit-learn.
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DS-Cookbook101A jupyter notebook having all most frequent used code snippet for daily data scienceoperations
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clinicaSoftware platform for clinical neuroimaging studies
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osprey🦅Hyperparameter optimization for machine learning pipelines 🦅
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PracticalMachineLearningA collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.
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Python-for-Remote-Sensingpython codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
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mloperatorMachine Learning Operator & Controller for Kubernetes
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dstoolboxTools that make working with scikit-learn and pandas easier.
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playgroundA Streamlit application to play with machine learning models directly from the browser
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ML-For-Beginners12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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object detectorObject detector from HOG + Linear SVM framework
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scikit-learnبه فارسی، برای مشارکت scikit-learn
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doubleml-for-pyDoubleML - Double Machine Learning in Python
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