srimontidutta/Solar_Radiation_Profiling

Performance & Resource Consumption Evaluation of Different Models for Prediction of Solar Radiation

Dataset

Open-source HI-SEAS weather station data provided by NASA

Exploratory Data Analysis

Exploring the data in terms of information, type, description, size, and missing or null values which might be present

Data Preprocessing

Correction of data type representation, checking data distribution, correlation analysis and heatmap generation

Modeling

Experimentation with 4 models- Linear Regression, Random Forest, Gradient Boosting and Support Vector Regression to find the best fit

Profiling

Code profiling for performance evaluation has been done with cProfile and profiling visualization has been done using SnakeViz