#10 Calories Burnt Prediction Model In this article I will be using exercise and fitness dataset available on Kaggle to find a way to predict the total calories burnt by a given person for a given workout variables like the ones mentioned under terminology section. Premise To Predict the calories burnt based on gender, age, […]
Category: Machine Learning
Titanic Survival Model
PREMISE In this assignment, I go over a labeled dataset containing a list of passengers on board the ship Titanic, – A large civilian cruise vessel that met its unfortunate demise near the Antarctic – and a list of survivals from the Kaggle Machine Learning challenge of the same name. My goal is, Train A […]
#6 Predicting Housing Prices of 1970’s Boston
This post is from a two-part series where I dwell deep into the housing prices of Boston – from the Boston Housing Dataset. (Courtesy U.S Census Service and Dr.Jason) PREMISE After the analysis of the factors present in the Boston Housing database and how they affected the property value in the previous post. In this continuation, […]
#4 Binary Classification: Prediction On Breast Cancer Datasets
This time around, I decided to go on a solo machine learning adventure! – That is, I choose the data and goal for myself from the myriad machine learning challenges available on the web. Since this was my first time, I went for one of the classiest applications first. No not letter recognitions (although I […]
#2 Machine Learning: Predicting Probabilities Of Blight Ticket Compliance
The following is a part of my machine learning project log completed during the applied machine learning introduction course from Coursera. PREMISE The Michigan Data Science Team (MDST) and the Michigan Student Symposium for Interdisciplinary Statistical Sciences (MSSISS) have partnered with the City of Detroit to help solve one of the most pressing problems facing […]