August 9, 2016

Automobile Customer Analysis

Read More on GitHub… Description: An automobile company has plans to enter new markets with their existing products (P1, P2, P3, P4 and P5). After intensive market research, they’ve deduced that the behavior of new market is similar to their existing market. In their existing market, the sales team has classified all customers into 4 segments (A, B, C, D ). Then, they performed segmented outreach and communication for different segment of customers.

April 10, 2016

Machine Learning: Diabetes Analysis Prediction

Read more on GitHub… What is Diabetes? Diabetes is a chronic disease that occurs when the pancreas is no longer able to make insulin, or when the body cannot make good use of the insulin it produces. Learning how to use Machine Learning can help us predict Diabetes. Let’s get started! About this project : The objective of this project is to classify whether someone has diabetes or not. Dataset consists of several Medical Variables(Independent) and one Outcome Variable(Dependent) The independent variables in this data set are :-‘Pregnancies’, ‘Glucose’, ‘BloodPressure’, ‘SkinThickness’, ‘Insulin’,‘BMI’, ‘DiabetesPedigreeFunction’, ‘Age’ The outcome variable value is either 1 or 0 indicating whether a person has diabetes(1) or not(0).

April 9, 2016

Machine Learning: Submarine_Sonar_Rock/Mines_Prediction

Read More… About Dataset Context This dataset is the result of my very first attempt at a machine learning project. I have always been a military enthusiast, so I took to building a sonar classifier for Anti-Homing Torpedo detection systems using perhaps the most basic machine learning tool that there is i.e. Google Teachable Machines. But since data as such remains classified, hence it was up to myself to find whatever available sources I could find.