1: Project Title: Predictify Healthcare Application2: The goal of the application, that takes your current lifestyle, food habits andexercise patterns as a input, sit on your mobile and validate that data, compare itwith the open health data available, and predict that if you continue today'slifestyle and food habits, where you will end up with respect to health down theline in 10-15-20 years.3: Gathering complex data f rom different sources and storing it into databases.4: Data Sources: WHO, Agency for Healthcare Research and Quality, Centres forMedicare and Medicaid Services & Hospital Management.5: Use machine learning methods((Supervised & Reinforcement) to predict the data.

1: Project Title: Thermal Comfort Prediction.2: My purpose was to find challenges that could be solved using machine learningand to turn those difficulties into a machine learning project.3: The state of mind of a person who is at ease in their surroundings, such astemperature, air velocity, humidity, and so on.4: Utilized the ASHRAE Thermal Comfort dataset and performed Data Cleaning,Categorical Features Encoding, and Model Creation. I'm usingRandomForestClassifier Ensemble Technique to forecast thermal comfort becausemy Target Variable is "Thermal comfort" with values as a category.5: Validate user-centric scenarios by extracting, loading, and reconciling massivequantities of data f rom many system platforms and sources.6: Ensure timely and efficient delivery of data analytics by managing customerexpectations and internal deliverables.