Portfolio
Recent Projects
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Project 1
Quality of Wine for consumption
Using machine learning to determine which physiochemical properties make a wine ‘good’!. Soluton at Github Repository
Project 2
Welcome to the Machine Learning Housing Corporation! Your first task is to use California census data to build a model of housing prices in the state. This data includes metrics such as the population, median income, and median housing price for each block group in California. Block groups are the smallest geographical unit for which the US Census Bureau publishes sample data (a block group typically has a population of 600 to 3,000 people). We will call them “districts” for short. Your model should learn from this data and be able to predict the median housing price in any district, given all the other metrics. Soluton at Github Repository
Project 3
Predicting the Sale Price of Bulldozers using Machine Learning. How well can we predict the future sale price of a bulldozer, given its characteristics and previous examples of how much similar bulldozers have been sold for? Note: The goal for most regression evaluation metrics is to minimize the error. For example, our goal for this project will be to build a machine learning model which minimises RMSLE. Soluton at Github Repository
Project 4
Intro: Breast cancer develops as a result of genetic mutations or damage to DNA. These can be associated with exposure to estrogen, inherited genetic defects, or inherited genes that can cause cancer, such as the BRCA1 and BRCA2 genes. When a person is healthy, their immune system attacks any abnormal DNA or growths. As a data Scientist, we are to create a model that Predict if the cancer diagnosis is benign or malignant based on several observations/features.
– Malignant
– Benign
