Climate-Change-Data-Analytics-Visualization

Analyzed and visualized earth surface temperature data provided by Berkeley Earth

Features

Regression
- Temperature prediction and visualization for a specific country, city, month and years using Linear Regression.
- Temperature prediction for a specific year using multiple regression techniques like
  1. Linear regression
  2. Isotonic regression
  3. Bayesian Ridge
  4. RANSAC
  5. Gaussian Process
  6. SVR
Clustering
- Classified earth surface temperature into 3 clusters of hot, mild and cold.
- Generated a google map with showing the clusters for a specific year.
- Model can predict temperature class of any given latitude and longitude for any year and month.
Visualization
- Earth surface mean temperature rise curve from year 1750.
- Divided a year in 4 seasons and visualized the average temperature of major cities in India.
- Visualized earth surface average temperature using world map.