Table of Contents

1. Installation
2. Project Motivation
3. File Descriptions
4. Results
5. Model Optimization
6. Licensing

Installation

This code will easily run with the default anaconda packaged libraries. Still, I am mentioning the important modules below:

• Pandas
• Numpy
• Sklearn
• Maplotlib
• Collections
• Seaborn

Project Motivation

This project came as a part of Data Scientist Nanodegree offered by Udacity.

After perusing the Stack Overflow’s developer survey dataset, I got curious to know about the following things:

1. What methods are being suggested to help people dive into this field?
2. What are the salary trends?
3. What mode of formal education plays a vital role?
4. Did bootcamp have any impact on developer's career?

File Descriptions

Here I have kept 2 python notebooks:

1. DiveIntoTheField - To answer first 4 questions (EDA)
2. Salary_Prediction - To predict salary based on given features

Results

The main findings of the analysis could be found in the post here

Model Optimization

Optimization approach I followed is described in the post here.

Licensing

Feel free to use the above code as you would like!