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58 search results found
Datasets
⭐
18,390
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Missingno
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3,472
Missing data visualization module for Python.
Xarray
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3,322
N-D labeled arrays and datasets in Python
Pandas Datareader
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2,733
Extract data from a wide range of Internet sources into a pandas DataFrame.
Dataprofiler
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1,310
What's in your data? Extract schema, statistics and entities from datasets
Pydataset
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853
Instant access to many datasets in Python.
Baby Names Analysis
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555
Data ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.
Tehran Stocks
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432
A python package to access tsetmc data
Subreddit Analyzer
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422
A comprehensive Data and Text Mining workflow for submissions and comments from any given public subreddit.
Riptable
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339
64bit multithreaded python data analytics tools for numpy arrays and datasets
Data Science Hacks
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300
Data 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.
Datawrangling
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225
The ultimate reference guide to data wrangling with Python and R
Trump Lies
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175
Tutorial: Web scraping in Python with Beautiful Soup
Disease Prediction From Symptoms
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159
Disease Prediction based on Symptoms.
Wrds
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114
Read WRDS datasets remotely (from wrds-cloud) into a Pandas dataframe. For any issues with this package, please contact
[email protected]
.
Practicalmachinelearning
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79
A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source
Datahub
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78
DataHub - Synthetic data library
Market_prices
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70
Get meaningful OHLCV datasets
Twitter Pandas
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68
A wrapper around tweepy to produce pandas dataframes for analysis
Arekit
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52
Document level Attitude and Relation Extraction toolkit (AREkit) for sampling and prompting mass-media news into datasets for ML-model training
Data Analysis With Pandas
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50
Welcome to data analysis with pandas tutorial. In this tutorial i have covered all the topic of pandas and tried to explain with lesser number of words.This tutorial is totally written in jupyter notebook so that anyone can clone and run it.
Work At Olist Data
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41
Apply for a job at Olist's Data Team: https://olist.gupy.io/
Cobaltstrike Beacon Data
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40
Open Dataset of Cobalt Strike Beacon metadata (2018-2022)
Intrinio
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32
Intrinio Python client SDK (unofficial)
Footballdata
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25
A collection of wrappers over football data from various websites / APIs.
Machine Learning With Iris Dataset
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24
Data Visualization and Machine Learning with Iris Dataset.
Fpl Ai
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23
A machine learning system that predicts fpl points of players
Python Data Exploration
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21
This is an example of how to use Python and Jupyter Notebook to explore a given dataset.
Automobile Dataset Analysis
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20
This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price
Udacity Data Analyst Nanodegree
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19
Lisa
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19
epigenome analysis to rank transcription factors
Pysemantic
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18
A traits based data validation module for pandas data structures.
Weo Reader
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16
Python client to read IMF World Economic Outlook (WEO) dataset as pandas dataframe.
Pandas_via_psql
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16
Invoke Pandas plotting by piping in SQL output via PSQL (Can be used with Postgres or Greenplum or any SQL engine).
Chronist
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16
Long-term analysis of emotion, age, and sentiment using Lifeslice and text records.
Edapy
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16
Exploratory Data Analysis with Python
Yelp_dataset_challenge
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15
Play around with Yelp dataset in Python (in progress and very messy repo)
Data Scientist In Python
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15
This repository contains notes and projects of Data scientist track from dataquest course work.
Covid 19
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14
Data ETL & Analysis on the global and Mexican datasets of the COVID-19 pandemic.
Investigate_tmdb_movies
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13
Investigating Dataset contains information about 10,000+ movies collected from The Movie Database (TMDb)
Pandas Datareader Gdax
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12
GDAX data for Pandas in the style of DataReader
Online_preprocessing_for_ml
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12
Web App for preprocessing - Machine Learning - Streamlit
Diffino
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11
Diffing tools for comparing datasets in CSV, XLSX and other formats
Manning
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11
DEPRECATED repo for Manning book Deep Learning with Structured Data - please see https://github.com/ryanmark1867/deep_learning_for_ for the current repo
Red Wine Quality Accuracy 0.9175
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10
The Red Wine Quality dataset from kaggle. Data is provided of the composition of the wine having different chemicals. I have used pandas to manipulate the data and seaborn to visualize the data. Finally I have made predictions on the wine quality by using various models from the scikit-learn.
Codavi
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10
Visualización y estadísticas sobre el COVID-19 en la Argentina.
Geoguide
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10
🌐 An interactive guidance approach for spatial data
Httlads
⭐
9
How to Think Like a Data Scientist
Dataset1d
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9
pandas DataFrame for fortran, with netCDF I/O
Ieee Icmla 2019 Data Science Tutorial
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9
IEEE ICMLA 2019 Data Science Tutorial - using data to answer questions
Python For Data Analysis And Machine Learning
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8
This repo contains the projects made for the course of Jose Portilla on Udemy.
Mnist Dataset
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8
Recognizing the Digits from 0-9 using their pixel values as attributes, using Deep Learning Model to Classify the Digits.
Runpandarun
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8
A simple interface for reproducible & persistent data warehousing for small data analysis projects
Eda And Machine Learning Avocado Prices Predictions
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8
Exploratory Data Analysis and Price Predictions for Avocado Dataset based on Machine Learning
Tidy Data Python
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7
cleaning up data making it to tidy data: structuring datasets to facilitate analysis
Data Cleaning Tool
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7
Process csv data using Python Pandas module
Coursera Web Scraper
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7
A multiprocessing webscraper for Coursera.org to build a dataset for all courses with details like ratings, difficulty, etc.
Datasethub
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6
Complete Notebooks on how AnimeWorld dataset was created, EDA, and Recommendation Engine.
Dataquest Assignments
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6
Nhanes Downloader
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6
Python script to download the entire NHANES dataset from the CDC website
Flask Wine Quality
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6
Machine Learning classification problem displayed with Flask Application
Python For Data Science 2015
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6
100daysofmlcode
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6
100 days ML challenge by Siraj Raval
Govpack
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6
Python package for easier access to Ukrainian open data
Markov Commencement Speech
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6
🎓 Generate your own commencement address with Markov chains
Facebook Metrics Prediction
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6
Analysis and Modeling of the UCI Facebook Metrics Dataset
Playwithml
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6
A project where we can try to experiment with our dataset and try it on different models. This is not exactly an AutoML. This is just for fun.
Sentiment Analysis Of Covid 19 Tweets
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6
Texts from twitter has been collected to decide the impact, it has been causing the public .We took a testing dataset and used neural network – Model training for testing the retrieved tweets and gain prediction of the sentiments from their tweets.
Matplotlibsampler
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6
Datasets and Matplotlib/pandas examples
Ml Malware Classifier
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6
Machine Learning Android Malware Classifier
Defect Predictor
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5
A ML model that predicts the number of bugs that might occur while reaching the QA Stage.
Data Analysis
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5
Practice Exercise from Data Analysis course of Udacity DAND
Machinelearningprojects
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5
This Repository contains the code, dataset and projects that I made during the learning of machine learning,
Python_tutorials
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5
Pandas Express
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5
Python tutorial for cleaning and analyzing Yelp data with Pandas and other Python machine learning tools
Moviehype
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5
A Python based movie recommender hosted using Flask
Mini Project
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5
Mini-Projects in Master's (Big Data & Data Analytics) at Manipal University
Gameratingspredictor
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5
Quantitative Methods for Computer Science exam project. Machine learning algorithm solves multi-class classification problem of video games content rating (without playing it).
Market Basket Analysis On Food Items
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5
Frequent Itemsets via Apriori Algorithm Apriori function to extract frequent itemsets for association rule mining We have a dataset of a mall with 7500 transactions of different customers buying different items from the store. We have to find correlations between the different items in the store. so that we can know if a customer is buying apple, banana and mango. what is the next item, The customer would be interested in buying from the store.
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