Allstate capstoneAllstate Kaggle Competition ML Capstone Project
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Kaggle HousepricesKaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4
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RecommendersBest Practices on Recommendation Systems
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Kaggle CompetitionsThere are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.
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TutorialsAI-related tutorials. Access any of them for free → https://towardsai.net/editorial
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Nteract📘 The interactive computing suite for you! ✨
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Quantitative NotebooksEducational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
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DeltapyDeltaPy - Tabular Data Augmentation (by @firmai)
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Data Science ProjectsDataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
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D2l PytorchThis project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
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Open source demosA collection of demos showcasing automated feature engineering and machine learning in diverse use cases
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User Machine Learning TutorialuseR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
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Edward2A simple probabilistic programming language.
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Mli ResourcesH2O.ai Machine Learning Interpretability Resources
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ProbabilityProbabilistic reasoning and statistical analysis in TensorFlow
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Reco GymCode for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
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EvidentlyInteractive reports to analyze machine learning models during validation or production monitoring.
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Amazon Forest Computer VisionAmazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
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ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
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Fastai2Temporary home for fastai v2 while it's being developed
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Production Data ScienceProduction Data Science: a workflow for collaborative data science aimed at production
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Stats Maths With PythonGeneral statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
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Agile data code 2Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
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Machinejs[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
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Apricotapricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html
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Tensor HouseA collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain
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Food Recipe Cnnfood image to recipe with deep convolutional neural networks.
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Python Causality HandbookCausal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.
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PbaEfficient Learning of Augmentation Policy Schedules
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Data Science Ipython NotebooksData science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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CoursesQuiz & Assignment of Coursera
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Zero To Mastery MlAll course materials for the Zero to Mastery Machine Learning and Data Science course.
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Interpretable machine learning with pythonExamples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
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Course V3The 3rd edition of course.fast.ai
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Data Science Your WayWays of doing Data Science Engineering and Machine Learning in R and Python
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TsfreshAutomatic extraction of relevant features from time series:
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Python Ml CourseCurso de Introducción a Machine Learning con Python
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EdwardA probabilistic programming language in TensorFlow. Deep generative models, variational inference.
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Deeplearning深度学习入门教程, 优秀文章, Deep Learning Tutorial
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Speech Emotion AnalyzerThe neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
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Data Science PortfolioPortfolio of data science projects completed by me for academic, self learning, and hobby purposes.
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