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NlpythonThis repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"
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Data Science CompetitionsGoal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
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d2l-javaThe Java implementation of Dive into Deep Learning (D2L.ai)
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Painters🎨 Winning solution for the Painter by Numbers competition on Kaggle.
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Awesome Feature EngineeringA curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
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kaggler🏁 API client for Kaggle
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kaggle-toolsSome tools that I often find myself using in Kaggle challenges.
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FeaturetoolsAn open source python library for automated feature engineering
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COVID-19-CaseStudy-and-PredictionsThis repository is a case study, analysis and visualization of COVID-19 Pandemic spread along with prediction models.
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autogbt-altAn experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
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D2l VnMột cuốn sách tương tác về học sâu có mã nguồn, toán và thảo luận. Đề cập đến nhiều framework phổ biến (TensorFlow, Pytorch & MXNet) và được sử dụng tại 175 trường Đại học.
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DataCon🏆DataCon大数据安全分析大赛,2019年方向二(恶意代码检测)冠军源码、2020年方向五(恶意代码分析)季军源码
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feature engineFeature engineering package with sklearn like functionality
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kernel-runRun any Jupyter notebook instantly using Kaggle kernels
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Apartment-Interest-PredictionPredict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.
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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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Predicting-Transportation-Modes-of-GPS-TrajectoriesUnderstanding transportation mode from GPS (Global Positioning System) traces is an essential topic in the data mobility domain. In this paper, a framework is proposed to predict transportation modes. This framework follows a sequence of five steps: (i) data preparation, where GPS points are grouped in trajectory samples; (ii) point features gen…
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prostoProsto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby
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kaggle-camera-model-identificationCode for reproducing 2nd place solution for Kaggle competition IEEE's Signal Processing Society - Camera Model Identification
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cortana-intelligence-customer360This repository contains instructions and code to deploy a customer 360 profile solution on Azure stack using the Cortana Intelligence Suite.
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kaggle-quora-question-pairsMy solution to Kaggle Quora Question Pairs competition (Top 2%, Private LB log loss 0.13497).
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mistqlA miniature lisp-like language for querying JSON-like structures. Tuned for clientside ML feature extraction.
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kuzushiji-recognitionKuzushiji Recognition Kaggle 2019. Build a DL model to transcribe ancient Kuzushiji into contemporary Japanese characters. Opening the door to a thousand years of Japanese culture.
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Deeplearning深度学习入门教程, 优秀文章, Deep Learning Tutorial
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hamiltonA scalable general purpose micro-framework for defining dataflows. You can use it to create dataframes, numpy matrices, python objects, ML models, etc.
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HumanOrRobota solution for competition of kaggle `Human or Robot`
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rawrExtract raw R code directly from webpages, including Github, Kaggle, Stack Overflow, and sites made using Blogdown.
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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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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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Kaggle CompetitionSummary of the Kaggle Stock Prediction Competition & my Trial
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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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HungabungaHungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
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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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PyData-Pseudolabelling-KeynoteAccompanying notebook and sources to "A Guide to Pseudolabelling: How to get a Kaggle medal with only one model" (Dec. 2020 PyData Boston-Cambridge Keynote)
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RgfHome repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.
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Data-Science-ProjectsData Science projects on various problem statements and datasets using Data Analysis, Machine Learning Algorithms, Deep Learning Algorithms, Natural Language Processing, Business Intelligence concepts by Python
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AutoTabularAutomatic machine learning for tabular data. ⚡🔥⚡
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ferFacial Expression Recognition
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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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icicleIcicle Streaming Query Language
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