SHOWCASING MY JOURNEY THROUGH DATA

 While searching for the dream house, the buyer looks at various factors, not just the height of the basement ceiling or the proximity to an east-west railroad.   

Using the dataset, finding the factors that influence price negotiations while buying a house.

Cardiovascular diseases are the leading cause of death globally. It is therefore necessary to identify the causes and develop a system to predict heart attacks effectively. The data below has information about the factors that might have an impact on cardiovascular health.

Identifying the causes and develop a Machine learning model that predicts heart attacks effectively. 

For companies like Lending Club correctly predicting whether or not a loan will be a default is very important. In this project, using the historical data from 2007 to 2015, I built a deep learning model to predict the chance of default for future loans.

Creating a model that predicts whether or not a loan will be default using the historical data.

 Facial recognition is a biometric alternative that measures the unique characteristics of a human face. Applications available today include flight check-in, tagging friends and family members in photos, and “tailored” advertising.

Developing a facial recognition program with deep convolutional neural networks.