Data Science HacksData Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
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Rightmove webscraper.pyPython class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object
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SweetvizVisualize and compare datasets, target values and associations, with one line of code.
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Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
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Dtale DesktopBuild a data visualization dashboard with simple snippets of python code
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Pandas VideosJupyter notebook and datasets from the pandas Q&A video series
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DtaleVisualizer for pandas data structures
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DeepgraphAnalyze Data with Pandas-based Networks. Documentation:
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Dataframe GoDataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
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Dat8General Assembly's 2015 Data Science course in Washington, DC
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DataframeC++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types, continuous memory storage, and no pointers are involved
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Seaborn TutorialThis repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.
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PdpipeEasy pipelines for pandas DataFrames.
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Mlcourse.aiOpen Machine Learning Course
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Pandas SummaryAn extension to pandas dataframes describe function.
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ZebrasData analysis library for JavaScript built with Ramda
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Ai Learn人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
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CjworkbenchThe data journalism platform with built in training
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Orange3🍊 📊 💡 Orange: Interactive data analysis
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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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Igela delightful machine learning tool that allows you to train, test, and use models without writing code
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DatascienceCurated list of Python resources for data science.
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KoalasKoalas: pandas API on Apache Spark
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whyqddata wrangling simplicity, complete audit transparency, and at speed
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DataexplorerAutomate Data Exploration and Treatment
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kobe-every-shot-everA Los Angeles Times analysis of Every shot in Kobe Bryant's NBA career
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Data ScienceCollection of useful data science topics along with code and articles
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TablesawJava dataframe and visualization library
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Data-Science-101Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.
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pandas-workshopAn introductory workshop on pandas with notebooks and exercises for following along.
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DataProfilerWhat's in your data? Extract schema, statistics and entities from datasets
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DatscanDatScan is an initiative to build an open-source CMS that will have the capability to solve any problem using data Analysis just with the help of various modules and a vast standardized module library
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tutorialsShort programming tutorials pertaining to data analysis.
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online-course-recommendation-systemBuilt on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.
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KneedKnee point detection in Python 📈
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ipython-notebooksA collection of Jupyter notebooks exploring different datasets.
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tempoAPI for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation
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datatileA library for managing, validating, summarizing, and visualizing data.
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ArticlesA repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
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Dominando-PandasEste repositório está destinado ao processo de aprendizagem da biblioteca Pandas.
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AkshareAKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
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skippaSciKIt-learn Pipeline in PAndas
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visionsType System for Data Analysis in Python
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GreyNSightsPrivacy-Preserving Data Analysis using Pandas
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fairlensIdentify bias and measure fairness of your data
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XlearnHigh performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
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