ta-datapt-bcn

ta-datapt-bcn's Stars

• Jxck-S/plane-notify

  Notify if a selected plane has taken off or landed using ADS-B data. Compares older data to newer data to determine if a landing or takeoff has occurred. As well as nav modes, emergency squawk and resolution advisory notifications. Can output to Twitter, Discord, Mastodon, and Telegram

  Language:Python2.5k433

• ironhack-datalabs/dataV2-labs

  Language:Jupyter Notebook7286

• adithyanarayanan/NorthEastWestSouth

  A news aggregator web application that lets you peruse news articles for your main course. On the side, it analyzes the sentiment surrounding the news in the twitter-verse.

  Language:Jupyter Notebook1

• LucasESBS/scoreCT

  scoreCT: Automated Cell Type Annotation

  Language:Jupyter Notebook147

• sebastianruder/NLP-progress

  Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

  Language:Python22.6k3.6k

• samuelmao415/Michelin

  All michelin restaurant in NYC

  Language:Python1

• alexwhb/IMDBspider

  A Scrapy spider for scraping IMDB movie info

  Language:Python4022

• Real-Estate-Scrapy/fotocasa

  Language:Python32

• EdelBlau/PEC_TPC

  Language:Python11

• holgerd77/django-dynamic-scraper

  Creating Scrapy scrapers via the Django admin interface

  Language:Python1.2k311

• cloverzrg/photo-spider-scrapy

  10 photo website spiders, 10 个国外图库的 scrapy 爬虫代码

  Language:Python198

• marketsentiment/mslive_public

  Track live sentiment for stocks from Reddit and Twitter and identify growing stocks

  Language:Python354106

• Jimbly/regex-crossword

  Implementation of a RegExp crossword.

  Language:JavaScript29828

• tomkeith/imdb-scraper

  Script to scrape IMDb.com for key movie features - including all genres and short plot summary (and optional movie poster)

  Language:Jupyter Notebook64

• babu-thomas/movielens-posters

  IMDb URLs and posters for movies in the MovieLens 100K dataset

  Language:Python6126

• shiv6146/recommendation_system

  A simple movie recommendation system which recommends similar movies based on the plot of a given movie

  Language:Jupyter Notebook2

• PacktPublishing/Hands-On-Data-Science-for-Marketing

  Hands-On Data Science for Marketing, published by Packt

  Language:Jupyter Notebook233164

• TrainingByPackt/Data-Science-for-Marketing-Analytics

  Achieve your marketing goals with the data analytics power of Python

  Language:Jupyter Notebook209129

• MemphisMeng/Brilliant-Recommendation-System

  Made With ML Summer 2020 Incubator

  Language:Jupyter Notebook83

• RaffayHusayn/Collaborative-Filtering

  Collaborative Filtering Model developed using Tensorflow and trained on MovieLens Dataset. This Model is based on Neural Collaborative Filtering research paper.

  Language:Jupyter Notebook2

• CodeCruncherDS/Ensemble_Learning-on-a-Bank-Dataset

  Language:Jupyter Notebook2

• PacktPublishing/Ensemble-Machine-Learning-Cookbook

  Ensemble Machine Learning Cookbook, published by Packt

  Language:Jupyter Notebook5761

• bokeh/bokeh

  Interactive Data Visualization in the browser, from Python

  Language:TypeScript19.3k4.2k

• fndvit/desprotegides

  Metodologia i dades del reportatge 'Desprotegides malgrat tot'

  41

• scikit-learn-contrib/sklearn-pandas

  Pandas integration with sklearn

  Language:Python2.8k413

• mekikis/bicing-BCN-distribution

  Bike distribution visualization during the day at Bicing stations in Barcelona

  Language:Python21

• koushikkirugulige/Football-Analytics

  Visualizations and predictive analytics which uses statsbomb and other data sources to visualize metrics like shot location, through ball pass, passmap, heatmap of a player, xG of a shoot etc.

  Language:Jupyter Notebook113

• koushikkirugulige/Google-Location-Heatmap

  This displays a Heatmap of all the location coordinates from the Location History fie downloaded from [Google Takeout](https://takeout.google.com)

  Language:Jupyter Notebook1

• shakasom/esda

  Exploratory Spatial Data Analysis with Python

  Language:Jupyter Notebook2515

• subhadeep-123/KMeans-and-Agglomerative-Clustering-on-Mall-Customers-dataset

  Kmeans & Hierarchical Agglomerative Clustering algorithms implementation on Mall Customers dataset

  Language:Jupyter Notebook106