The project Presents a strict comparison between three Machine Learning models for Time-Series predictions of Weather Dataset:
- K-Nearest Neighbors (KNN),
- Multiple Linear Regression (MLR) and;
- General Regression Neural Network (GRNN)
- Various techniques like Regularization, Normalization and Data Preprocessing have been applied to achieve best possible output for each method.
- The results have been presented on a frontend in a graphical format using Angular as front-end technology.