Data Science Resources👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
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Cookbook 2ndIPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
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Pydataroadopen source for wechat-official-account (ID: PyDataLab)
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HeliomlA book about machine learning, statistics, and data mining for heliophysics
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LasioPython library for reading and writing well data using Log ASCII Standard (LAS) files
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Amazing Feature EngineeringFeature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
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Cookbook 2nd CodeCode of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
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Awesome Ai BooksSome awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
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Fantasy Basketball Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.
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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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Gwu data miningMaterials for GWU DNSC 6279 and DNSC 6290.
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Rong360用户贷款风险预测
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Lab WorkshopsMaterials for workshops on text mining, machine learning, and data visualization
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GspanPython implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.
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Mli ResourcesH2O.ai Machine Learning Interpretability Resources
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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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GendisContains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.
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Raccoon datasetThe dataset is used to train my own raccoon detector and I blogged about it on Medium
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Aws Research WorkshopsThis repo provides a managed SageMaker jupyter notebook with a number of notebooks for hands on workshops in data lakes, AI/ML, Batch, IoT, and Genomics.
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CoordconvPytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247
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Pydata la 2018Added repo for PyData LA 2018 tutorial
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Ml Starter PackA collection of Machine Learning algorithms written from sctrach.
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3d ShapesThis repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2018. to assess the disentanglement properties of unsupervised learning methods.
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ViztechPlotnine replication of Financial Times Visual Vocabulary; Inspired by Vega
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Gan VisVisualization of GAN training process
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Lectures LabsSlides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
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Ge tutorialsLearn how to add data validation and documentation to a data pipeline built with dbt and Airflow.
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Bee UniversityProject thu thập điểm chuẩn đại học 2014 - 2018 và phân tích dữ liệu
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Attack DatasourcesThis content is analysis and research of the data sources currently listed in ATT&CK.
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Ar Browser SudokuSolving Sudoku Puzzles in the Browser Using Augmented Reality
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Cbe30338Chemical Process Control
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Prml notes该项目是关于机器学习经典书籍《Pattern Recognition and Machine Learning》的学习笔记,我用python实现了书中的一些实例,希望帮助感兴趣的人更好的理解
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Qastrategy101strategy 101 从今天开始 逐步开放101个基础策略的QA实现 包含5个大类
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Python nlp tutorialThis repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)
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PrmlSome IPython notebooks based on Bishop's "Pattern Recognition and Machine Learning" book
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Mlhep2016Machine Learning in High Energy Physics 2016
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Ag Ve Bilgi Guvenligi Ders NotlariAğ ve Bilgi Güvenliği; Linux & Temel Komutlar, Python, Risk Analizi, Kriptoloji, Stenografi, Zararlı Kod Analizi, Sızma Testi, Pasif Bilgi Toplama, Pasif Bilgi Toplama, Ağ Güvenliği, Zaafiyet Keşfi, Zararlı Kod Oluşturma Yöntemleri, Dijital Adli Analiz, Web Güvenliği, Sosyal Mühendislik Saldırıları, Mobil Sistem Güvenliği konularında sunum ve uygulamaların olduğu ağ ve bilgi güvenliği ders sayfası.
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Mlatimperial2017Materials for the course of machine learning at Imperial College organized by Yandex SDA
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Bootcamp2018Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSM Lab Boot Camp 2018
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Tensorflow VggRe-implementation of VGG Network in tensorflow
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