This repository is all about Data Science/Machine Learning.
Projects:
- Why are the customers switching and how to proactively retain them? - Telecom company data set
- Can we help San Francisco builders by predicting approximate building Permit Issue Times? - Real world data set
Machine Learning Examples:
- What are the housing prices in Boston?: Linear Regression
- Guessing game from height and weight: Logistic Regression
- Rotten Tomatoes rating and sentiment analysis: Naive Bayes
- Learning trees and ensembles while having imaginary wine!: Decision Tree, Random Forest, AdaBoost and Gradient Boosting
- One more wine based problem, this time no one is watching!: Unsupervised Clustering
Inferential Statistics Examples:
- Is Human Body Temperature 98.6 and more questions answered!
- Does US Job Market discriminate based on Race?
- Hospital Readmit Analysis and conclusions
Exploratory Data Analysis Examples:
Big Data Examples:
In addition,
- My Writings:
- Study Notes
- Detailed Project Report Example
I appreciate feedback and comments, please contact me by writing to [email protected] Are you a recruiter/hiring manager, like to know more about me? My LinkedIn profile