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1. Predicitng-Covid-19-Coronavirus-in-patients Predicitng-Covid-19-Coronavirus-in-patients Public

   Studying the variables associated with Covid-19 and use Logistic Regression, Decision Trees and Random Forest to classify positive vs negative cases. The dataset contains anonymized data from patie…

   Jupyter Notebook 2

2. Movies-Recommender-System Movies-Recommender-System Public

   To build a simple and a content based movie recommendation system that suggests suggests movies that are most similar to a particular movie that a user liked.

   Jupyter Notebook

3. Analyzing-Profitability-on-Short-Term-Rentals-using-AirbnB-and-Zillow-Data Analyzing-Profitability-on-Short-Term-Rentals-using-AirbnB-and-Zillow-Data Public

   Analysis to help a real-estate agency understand the zip codes that would generate most profit on short term rentals within New York City.

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4. Twitter-Sentiment-Analysis Twitter-Sentiment-Analysis Public

   This sentiment analysis has been done on twitter data.

   Jupyter Notebook

5. Predicting-Landing-distance-of-Flights Predicting-Landing-distance-of-Flights Public

   To study what factors and how they would impact the landing distance of a commercial flight. Performed Multiple Linear Regression.

6. Analysing-the-Causes-of-Heart-Disease Analysing-the-Causes-of-Heart-Disease Public

   In United States, heart disease is responsible for 1 in 4 deaths each year, i.e. in 2019 about 647,000 Americans died from heart disease! It is the leading cause of death for people of most racial …

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