#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, […]
Author: quibdev
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 […]
#9 HandWritten Digit Recognition
I was in sort of a rut in the past few months, I was trying to work on projects that were clearly above my existing skillset. It took some time before I realized to cut my losses and work again on simpler and shorter projects. While admittedly, I didn’t learn a whole lot new during […]
#8 Multinomial Naive Bayes Classifier: Predicting Spams
In this assignment, I was given a labeled dataset containing spam and not-spam text messages. My task was to create a model that could reliably tell between the two. I stumbled upon this project while finishing my text-mining and analytics course at Coursera. To keep it short, things didn’t go exactly as planned. One google […]
#7 Developing An Ultrasonic Depth Sensor Gauge In Arduino
This post was a result of the skills I obtained from the Arduino Beginner’s Course by Moscow Institute Of Technology on Coursera. PREMISE During my tinkering around with the new Arduino kit that I bought online, I found myself mesmerized by the many possibilities it presented and how many cool projects I could work out […]
#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, […]
#5 Factors Affecting The Housing Market 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)
#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 […]
#3 Feature Extraction: Dates From Data.
The following is a part of my text mining project log completed during the applied text mining in python course from Coursera. Premise This time around, I was given a messy medical data (aka. Unstructured) and was tasked to extract relevant information from it using python’s regex libraries. These “relevant information” refer to the many […]
#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 […]