data_science

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:

• World Bank Projects: JSON file
• Mondial: XML File

Big Data Examples:

• Big Data Handling with Map Reduce

In addition,

• Samples from my writings :

  • Art of Learning Data Science ,
  • Doing Part of Data Science,
  • Real Data Science Project Ideas: My Approach,
  • ConvNets Notes Part 1, Part 2 and many more

• Study Notes

• Detailed Project Report Example

• Certifications of various courses taken can be found here

  • Springboard Bootcamp under a mentor
  • Data Scientist Career Track from Datacamp
  • Prof Andrew Ng's Machine learning course and Deep Learning Specialization

I appreciate feedback and comments, please contact me by writing to aparnashastrymls@gmail.com
If you are looking for a problem solver for your business, please have a look at my profile and let's talk! My LinkedIn profile