SweetvizVisualize and compare datasets, target values and associations, with one line of code.
Stars: ✭ 1,851 (+684.32%)
Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
Stars: ✭ 8,329 (+3429.24%)
100 Days Of Ml CodeA day to day plan for this challenge. Covers both theoritical and practical aspects
Stars: ✭ 172 (-27.12%)
descriptrGenerate descriptive statistics
Stars: ✭ 34 (-85.59%)
ScattertextBeautiful visualizations of how language differs among document types.
Stars: ✭ 1,722 (+629.66%)
Data Describedata⎰describe: Pythonic EDA Accelerator for Data Science
Stars: ✭ 269 (+13.98%)
HandysparkHandySpark - bringing pandas-like capabilities to Spark dataframes
Stars: ✭ 158 (-33.05%)
LuxPython API for Intelligent Visual Data Discovery
Stars: ✭ 787 (+233.47%)
leilaLibrería para la evaluación de calidad de datos, e interacción con el portal de datos.gov.co
Stars: ✭ 56 (-76.27%)
Inspectdf🛠️ 📊 Tools for Exploring and Comparing Data Frames
Stars: ✭ 195 (-17.37%)
VisidataA terminal spreadsheet multitool for discovering and arranging data
Stars: ✭ 4,606 (+1851.69%)
Baby Names AnalysisData ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.
Stars: ✭ 557 (+136.02%)
CodeCompilation of R and Python programming codes on the Data Professor YouTube channel.
Stars: ✭ 287 (+21.61%)
Autoeda ResourcesA list of software and papers related to automatic and fast Exploratory Data Analysis
Stars: ✭ 268 (+13.56%)
Edavizedaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
Stars: ✭ 220 (-6.78%)
olliePyOlliePy is a python package which can help data scientists in exploring their data and evaluating and analysing their machine learning experiments by utilising the power and structure of modern web applications. The data scientist only needs to provide the data and any required information and OlliePy will generate the rest.
Stars: ✭ 46 (-80.51%)
DataprepDataPrep — The easiest way to prepare data in Python
Stars: ✭ 639 (+170.76%)
Hn so analysisIs there a relationship between popularity of a given technology on Stack Overflow (SO) and Hacker News (HN)? And a few words about causality
Stars: ✭ 94 (-60.17%)
SparkoraPowerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
Stars: ✭ 51 (-78.39%)
Data-Science-101Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.
Stars: ✭ 19 (-91.95%)
obsplusA Pandas-Centric ObsPy Expansion Pack
Stars: ✭ 28 (-88.14%)
ml-workflow-automationPython Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.
Stars: ✭ 44 (-81.36%)
Information-RetrievalInformation Retrieval algorithms developed in python. To follow the blog posts, click on the link:
Stars: ✭ 103 (-56.36%)
rle-arrayRun-length encoded arrays for pandas.
Stars: ✭ 20 (-91.53%)
datarA Grammar of Data Manipulation in python
Stars: ✭ 142 (-39.83%)
learnrExploratory, Inferential and Predictive data analysis. Feel free to show your ❤️ by giving a star ⭐
Stars: ✭ 64 (-72.88%)
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 (-88.14%)
pytdTreasure Data Driver for Python
Stars: ✭ 15 (-93.64%)
Python-Data-VisualizationD-Lab's 3 hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compound figures, and more, using matplotlib and seaborn.
Stars: ✭ 42 (-82.2%)
basic-image-edaA simple image dataset EDA tool (CLI / Code)
Stars: ✭ 51 (-78.39%)
Fraud-AnalysisInsurance fraud claims analysis project
Stars: ✭ 37 (-84.32%)
pantabRead/Write pandas DataFrames with Tableau Hyper Extracts
Stars: ✭ 64 (-72.88%)
tutorialsShort programming tutorials pertaining to data analysis.
Stars: ✭ 14 (-94.07%)
datasets🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Stars: ✭ 13,870 (+5777.12%)
five-minute-midasPredicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit
Stars: ✭ 41 (-82.63%)
PinionGenerate interactive and nice-looking diagrams for your PCBs!
Stars: ✭ 264 (+11.86%)
DataProfilerWhat's in your data? Extract schema, statistics and entities from datasets
Stars: ✭ 843 (+257.2%)
rust-vcdRead and write VCD (Value Change Dump) files in Rust
Stars: ✭ 23 (-90.25%)
copperAn open source PCB editor in rust
Stars: ✭ 26 (-88.98%)
wax-mlA Python library for machine-learning and feedback loops on streaming data
Stars: ✭ 36 (-84.75%)
ice-chips-verilogIceChips is a library of all common discrete logic devices in Verilog
Stars: ✭ 78 (-66.95%)
PeakRDL-ipxactImport and export IP-XACT XML register models
Stars: ✭ 21 (-91.1%)
ark investdaily report of @ARKInvest ETF activity + data collection
Stars: ✭ 25 (-89.41%)
A-Detector⭐ An anomaly-based intrusion detection system.
Stars: ✭ 69 (-70.76%)
bcpandasHigh-level wrapper around BCP for high performance data transfers between pandas and SQL Server. No knowledge of BCP required!!
Stars: ✭ 69 (-70.76%)
ydata-qualityData Quality assessment with one line of code
Stars: ✭ 311 (+31.78%)
cognipyIn-memory Graph Database and Knowledge Graph with Natural Language Interface, compatible with Pandas
Stars: ✭ 31 (-86.86%)
onelinerhub2.5k code solutions with clear explanation @ onelinerhub.com
Stars: ✭ 645 (+173.31%)
gw2raidarA log parsing website for Guild Wars 2 combat logs
Stars: ✭ 19 (-91.95%)
xpandasUniversal 1d/2d data containers with Transformers functionality for data analysis.
Stars: ✭ 25 (-89.41%)
furnitureThe furniture R package contains table1 for publication-ready simple and stratified descriptive statistics, tableC for publication-ready correlation matrixes, and other tables #rstats
Stars: ✭ 43 (-81.78%)