CHANGELOG.md

<!--
================================================================================
Weather Forecasting Dataset - Changelog

Author: Molla Samser | Website: https://rskworld.in
Email: help@rskworld.in | Phone: +91 93305 39277
Designer & Tester: Rima Khatun

© 2024 RSK World - https://rskworld.in
================================================================================
-->

# Changelog

All notable changes to the Weather Forecasting Dataset project will be documented in this file.

---

## [2.0.0] - 2024-12-23

### 🚀 Major Update - Advanced Features Release

#### Added

**Data Files**
- `weather_advanced.csv` - Advanced weather data with 35+ parameters
- Air Quality Index (AQI) measurements
- PM2.5, PM10, Ozone, NO2, SO2, CO pollution data
- Solar radiation measurements (W/m²)
- Soil temperature and moisture data
- Heat index and wind chill calculations
- Dew point and wet bulb temperatures
- Cloud base height
- Sunrise, sunset, and twilight times
- Moon phase data
- Weather severity codes

- `weather_alerts.csv` - Weather alerts and warnings data
- Alert types (Fog, Rain, Heat, Cold, Air Quality)
- Severity levels
- Issue and expiry timestamps
- Affected areas

- `weather_forecast_comparison.csv` - Model evaluation data
- Predicted vs actual values
- Multiple model comparisons (LSTM, ARIMA, XGBoost)
- Error metrics
- Confidence scores

- `seasonal_statistics.csv` - Aggregated statistics
- Monthly averages for all locations
- Seasonal patterns (Winter, Spring, Summer, Monsoon, Autumn)
- Temperature, humidity, precipitation totals
- Sunny, cloudy, rainy day counts
- AQI and UV index statistics

**Machine Learning**
- `ml_models.py` - Complete ML prediction pipeline
- Linear Regression
- Ridge/Lasso Regression
- Random Forest Regressor
- Gradient Boosting
- XGBoost integration
- Support Vector Regression
- LSTM Neural Network (TensorFlow)
- Automatic feature engineering
- Cross-validation support
- Hyperparameter tuning
- Feature importance analysis
- Model comparison framework

**Anomaly Detection**
- `anomaly_detection.py` - Multiple detection algorithms
- Z-score anomaly detection
- IQR (Interquartile Range) method
- Isolation Forest
- Local Outlier Factor (LOF)
- Moving average deviation
- Extreme weather event detection
- Automated report generation

**API Simulation**
- `api/weather_api.py` - Flask-based Weather API
- `/api/weather/current` - Current weather
- `/api/weather/forecast` - Multi-day forecast
- `/api/alerts` - Weather alerts
- `/api/locations` - Available locations
- Realistic data generation
- JSON responses

**Jupyter Notebook**
- `notebooks/weather_analysis.ipynb` - Interactive analysis
- Data exploration
- Statistical analysis
- Visualizations
- Temperature trends
- Humidity analysis
- Correlation studies
- Location comparisons

**Dashboard**
- `dashboard.html` - Advanced analytics dashboard
- Real-time stat cards
- Interactive Chart.js visualizations
- Temperature trend charts
- Weather distribution (doughnut)
- Humidity vs Temperature scatter
- Location comparison bar charts
- Data table with export
- Active alerts panel
- Dark theme design
- Responsive layout

#### Changed
- Updated `dataset_info.json` to version 2.0.0
- Updated `README.md` with comprehensive documentation
- Expanded `requirements.txt` with all dependencies
- Enhanced existing data files with more records

---

## [1.0.0] - 2024-12-22

### 🎉 Initial Release

#### Added

**Data Files**
- `weather_data.csv` - Main weather dataset (120+ records)
- Temperature (Celsius & Fahrenheit)
- Feels-like temperature
- Humidity percentage
- Atmospheric pressure
- Wind speed and direction
- Wind gust measurements
- Precipitation amount and probability
- Cloud cover percentage
- Visibility distance
- UV index
- Dew point
- Weather condition descriptions

- `locations.csv` - Location master data
- 5 major Indian cities
- Geographic coordinates
- Climate classifications

- `weather_hourly_extended.csv` - Extended hourly data

- `weather_data.json` - JSON format data

- `dataset_info.json` - Dataset metadata

**Scripts**
- `weather_analysis.py` - Data analysis and visualization
- `data_preprocessing.py` - ML preprocessing utilities
- `requirements.txt` - Python dependencies

**Demo**
- `index.html` - Project demo page
- `preview-generator.html` - Preview image generator
- `weather-forecasting.svg` - Project icon
- `weather-forecasting.png` - Preview image

**Documentation**
- `README.md` - Project documentation
- `LICENSE` - Educational license
- `.gitignore` - Git ignore rules

---

## About

**Project:** Weather Forecasting Dataset
**Author:** Molla Samser
**Website:** https://rskworld.in
**Email:** help@rskworld.in
**Phone:** +91 93305 39277

**Designer & Tester:** Rima Khatun

---

© 2024 RSK World - https://rskworld.in