Introduction
Data science projects offer you a promising way to kick-start your analytics career. Not only you get to learn data science by applying, you also get projects to showcase on your CV. Nowadays, recruiters evaluate a candidate’s potential by his/her work, not as much by certificates and resumes. It wouldn’t matter, if you just tell them how much you know, if you have nothing to show them! That’s where most people struggle and miss out!
Useful Information
To help you decide your start line, I’ve divided the data set into 3 levels namely:
1.Beginner Level: This level comprises of data sets which are fairly easy to work with, and doesn’t require complex data science techniques. You can solve them using basic regression / classification algorithms
2.Intermediate Level: This level comprises of data sets which are challenging. It consists of mid & large data sets which require some serious pattern recognition skills.
3.Advanced Level: This level is best suited for people who understand advanced topics like neural networks, deep learning, recomender systems etc.
Table of Contents
Beginner Level
- Iris Data GetData Problem: Predict the flower class based on available attributes
- Titanic Data GetData Problem: Predict the survival of passengers in Titanic.
- Loan Prediction Data GetData Problem: Predict if a loan will get approved or not.
Intermediate Level
- Human Activity Recognition Data GetData Problem: Predict the activity category of a human
- Black Friday Data GetData Problem: Predict purchase amount.
- Siam Competition Data1 GetData Problem: Classify the documents according to their labels
- Trip History Data GetData Problem: Predict the class of user
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