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Skills & techniques: Text mining, sentiment analysis, topic modeling, social media analytics, R, Python. Justification Intermittent fasting or time-restricted eating Positive Sentiment Topic modeling Weight loss mechanisms and popular diets [‘reduced’, ‘review’, ‘energy’, ‘present’, ‘ad’, ‘popular’, ‘meal’, ‘loss’, ‘mechanisms’, ‘study’] Positive metabolic benefits of healthy eating and exercise programs [‘program’, ‘expression’, ‘metabolic’, ‘calorie’, ‘improve’, ‘benefits’, …

Sentiment Analysis, topic modeling & word frequency of scientific papers on intermittent fasting Read More »

Skills & techniques: Data analytics, supervised machine learning techniques, R Programming language. Summary Stroke is one of the leading causes of mortality around the globe, and identifying individuals at risk of stroke is crucial for prevention and management. This study aims to predict stroke occurrence using machine learning models and evaluate different data balancing techniques …

Predicting the occurrence of a Brain Stroke based on physiological data using machine learning Read More »

Skills & techniques: Data analysis, supervised machine learning techniques, Python, Tableau. Overall Summary Collisions between motor vehicles and large vertebrates are a severe problem in the state of New York and other states across the country. Specifically, deer-vehicle collisions are the most common accident among these types. Approximately 1.5 million collisions occur every year. The …

Predicting deer-vehicle collisions based on environmental data using supervised ML Read More »