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1. Predicting-Housing-Prices-using-Advanced-Regression- Predicting-Housing-Prices-using-Advanced-Regression- Public

   The goal of this project was to use EDA, Visualization, Data cleaning, Preprocessing, and Linear models to predict home prices given the features of the home and interpret your linear models to fin…

   Jupyter Notebook 1

2. Bank-Marketing-Campaign-Analysis Bank-Marketing-Campaign-Analysis Public

   Analyzed the prior marketing campaigns of a Portuguese Bank using various ML techniques like Logistic Regression, Random Forests, Decision Trees and predicted if the user will buy the Bank’s term d…

   Jupyter Notebook 1

3. Sentiment-Analysis-of-JW-Marriot-Hotel-Reviews Sentiment-Analysis-of-JW-Marriot-Hotel-Reviews Public

   implemented a web scraper to fetch live hotel reviews from TripAdvisor website. Conducted data pre-processing and cleaning by removing stop words, punctuation, special characters, numbers, and whit…

   R 2 1

4. Predicting-Hospital-Readmission-for-Diabetes-patients Predicting-Hospital-Readmission-for-Diabetes-patients Public

   Hospital readmission for diabetic patients is a major concern in the United States. This disease is chronic and does not have any specific cure. Hospital readmissions are expensive as hospitals fac…

   1

5. K-Nearest-Neighbors-algorithm K-Nearest-Neighbors-algorithm Public

   K-Nearest Neighbours , Dataset: glass , Use knn on short datasets for quicker processing

   Python 1

6. Random-Forest Random-Forest Public

   Random Forest is a supervised learning algorithm. Like you can already see from it’s name, it creates a forest and makes it somehow random. The „forest“ it builds, is an ensemble of Decision Trees,…

   Jupyter Notebook 1