Pydata Pandas WorkshopMaterial for my PyData Jupyter & Pandas Workshops, I'm also available for personal in-house trainings on request
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Mutual labels: workshop, pandas
Programming With Datađ Learn Python and Pandas from the ground up
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Mutual labels: workshop, pandas
Udacity-Data-Analyst-NanodegreeRepository for the projects needed to complete the Data Analyst Nanodegree.
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Mutual labels: pandas, tweepy
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
Stars: â 212 (+161.73%)
Mutual labels: pandas
trackanimationTrack Animation is a Python 2 and 3 library that provides an easy and user-adjustable way of creating visualizations from GPS data.
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Mutual labels: pandas
pyjanitorClean APIs for data cleaning. Python implementation of R package Janitor
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Mutual labels: pandas
twitter-sentiment-analysisStreaming tweets with spark, language detection & sentiment analysis, dashboard with Kibana
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Mutual labels: sentiment-analysis
MotoroSmart contracts for decentralized rentals of vehicles.
Stars: â 96 (+18.52%)
Mutual labels: workshop
TinyFlowerBedsEducational bot that posts a tiny flower bed on Twitter every few hours. Check it out if you're new to Python and open source!
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Mutual labels: tweepy
Data-Science-ResourcesA guide to getting started with Data Science and ML.
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Mutual labels: pandas
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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Mutual labels: pandas
resolving-python-data-scienceLearning materials to get started with Python using Pandas, a library to manipulate Data.
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Mutual labels: pandas
EngeznyEngezny is a python package that quickly generates all possible charts from your dataframe and saves them for you, and engezny is only supporting now uni-parameter visualization using the pie, bar and barh visualizations.
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Mutual labels: pandas
WHU FinTech WorkshopćŚćąĺ¤§ĺŚéčç§ćç 莨ç
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covid-19Data ETL & Analysis on the global and Mexican datasets of the COVID-19 pandemic.
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Mutual labels: pandas
Data-Science-101Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.
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Mutual labels: pandas
sentimentAnalysisLabThis lab is about how to add the AI and ML cloud service feature to your web application with React and the Amplify Framework.
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Mutual labels: sentiment-analysis
TLAA comprehensive tool for linguistic analysis of communities
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Mutual labels: sentiment-analysis
datascienvdatascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
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Mutual labels: pandas