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1. Ratings_On_DemandRatings_On_DemandPublic

   Ratings on Demand is a Machine Learning Project using Python to predict IMDb movie ratings using features available before a movie’s release like genre, duration, budget, and Oscar nominations. Usi…

   Jupyter Notebook 1 1

2. Tableau_NY_CitibikeTableau_NY_CitibikePublic

   Using Tableau and Python, I assisted CitiBikes, in presenting a business proposal. First, I imported data into Tableau to build our dashboards. Next, I created and styled worksheets, dashboards, an…

   Jupyter Notebook 1

3. Cryptocurrencies_Unsupervised_Machine_LearningCryptocurrencies_Unsupervised_Machine_LearningPublic

   Using Sklearn, Python, & Plotly, I analyzed a dataset of cryptocurrencies with unsupervised machine learning algorithms to spot any trends that would make a client want to invest in them.

   Jupyter Notebook 1

4. BigData_Amazon_Vine_AnalysisBigData_Amazon_Vine_AnalysisPublic

   Using PySpark, I performed the ETL process on a large dataset (170,000 rows) of Video Games. Next, I created an AWS relational database instance & transformed the data to be loaded into PostgreSQL.…

   Jupyter Notebook 1

5. Plotly.js_Data_Visualization_Belly_Button_BiodiversityPlotly.js_Data_Visualization_Belly_Button_BiodiversityPublic

   Using JavaScript and Plotly.js, and HTML, I created an interactive data visualization on the web to explore the data on bacteria biodiversity of belly buttons, which could help create real tasting …

   JavaScript 1

6. Web_Scraping_Mission_to_MarsWeb_Scraping_Mission_to_MarsPublic

   Using Python libraries BeautifulSoup and Splinter, I automated Google Chrome to visit different websites to extract data about the Mission to Mars and then store it in a MongoDB NoSQL database. The…

   Jupyter Notebook 1