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GoogleMaps_Crawler
Google Maps Crawler takes Google Maps List and it scrape elements from all items such as: title, rating, reviews, location url, website,etc.wikipedia_api
Wikipedia API let's you send requests via python and get data about daily page views per date for specified article, monthly page views for specified articles, or top n articles per day for specified country.Movie-Recommendation-Model
Recommendation Systems in the world of machine learning have become very popular and are a huge advantage to tech giants like Netflix, Amazon and many more to target their content to a specific audience. These recommendation engines are so strong in their predictions that they can dynamically alter the state of what the user sees on their page based on the user’s interaction with the app. This project includes: Web Scraping, Data Cleansing, Building Model, Program execution and Comparing resultsinstagram_scraper_and_sentiment_analysis
Instagram Comments Sentiment Analysissql_examples
Here you can find examples of my SQL Queries.BI-Dashboards
Here you can find examples of BI Dashboards from my previous projects. I've used Google Data Studio and Tableau to build dashboards. Logo of company is hidden because of privacy reasons.Youtube_Comments_Scraper
This repository is for my youtube automation tool for scraping comments from videos.Sentiment-Analysis-IMDB-Reviews
In this notebook you'll see: How to use Selenium to scrape movies reviews from IMDB How to clean the data What is Sentiment Analysis How to use natural language processing (NLP) techniquesStroke-Prediction-Analysis
In this notebook we'll deal with analyzing all factors that can lead to stroke. We'll compare what has more impact on stroke and after that we'll build a model to predict whether patient suffers of stroke. This is a classification problem and later we'll se which models we are going to use.interstellar_imdb_analysis
The idea that I came up with for this article is Reviews Sentiment Analysis. So, first of all, we’ll have to collect the reviews data. We’ll do this by scraping the movie reviews from IMDb. After this, we’ll have to do some Data Cleansing and Exploratory Data Analysis. Then, we’ll move to Sentiment Analysis and Data Storytelling.Love Open Source and this site? Check out how you can help us