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  1. Web-Scraping Web-Scraping Public

    Web Scraping using Python and Selenium. The goal is to scrape data such as video title, view count, number of likes, number of dislikes, and number of comments from youtube.

    Jupyter Notebook

  2. AppStore-Analysis AppStore-Analysis Public

    Analyzing AppStore apps. The goal is to load, clean, and visualize the data to understand the iOS app market

    Jupyter Notebook

  3. Building-Spam-Filter-with-Naive-Bayes Building-Spam-Filter-with-Naive-Bayes Public

    In this project, I'm going to build a spam filter for SMS messages by using the Multinomial Naive Bayes Algorithm.

    Jupyter Notebook

  4. Finding-the-two-best-markets-to-advertise-a-product-in Finding-the-two-best-markets-to-advertise-a-product-in Public

    In this project, I have analyzed the Free Code Camp's new coders survey data to find the two best markets to advertise an e-learning product in.

    Jupyter Notebook

  5. Web-scraping-using-Scrapy Web-scraping-using-Scrapy Public

    The goal is to scrape contents from a website using Scrapy and to save the scraped data in a csv file

    Python