Data Analysis Project

Data Analysis for 2018 Stackoverflow Developer Survey Data

• Data Cleaning and Analysis to get valuable insights
• Hypothesis Testing
• Predictions (Involving linear regressions and regularized regression)
• ML Techniques Implementation
  • PCA
  • Clustering (KMeans)
  • Classification (Random Forest, Support Vector Classifier(Poly,Linear,RBF), Logistic Regression)

Pre-requisite

• Anaconda or pip for environment management

Setup

Using Anaconda

git clone https://github.com/akashsky1994/stack-overflow-developer-survey-analysis.git
cd stack-overflow-developer-survey-analysis
conda env create -f stack-overflow-developer-survey-analysis.yml
conda activate python-yelp-sentiment-analysis
jupyter notebook

Using Pip

git clone https://github.com/akashsky1994/stack-overflow-developer-survey-analysis.git
cd stack-overflow-developer-survey-analysis
python3 -m venv env 
source env/bin/activate
pip install -r requirements.txt
jupyter notebook

DataSets :- https://www.kaggle.com/stackoverflow/stack-overflow-2018-developer-survey