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This data set includes information about individual rides made in a bike-sharing system covering the greater San Francisco Bay area. It was requested to investigate this dataset to get at least some insights.
Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis, NLP processing and ML, achieving the functionality of a Content based movie recommender system
Analyzes diabetes data in African Americans to find factors predicting diagnosis using MLR to explore & clean data, build & compare regression models, and choose the best one based on accuracy and interpretability