Datasets and Jupter notebooks for MSc dissertation on forecasting streamflow in Lesotho
# streamflow_forecasting_lesotho
Datasets and Jupter notebooks for MSc dissertation on forecasting streamflow in Lesotho
# monthly_Streamflow_forecating_in_the_Malibamats'o_river_basin
This repository contains datasets and Jupyter notebooks supporting the MSc dissertation:
**Forecasting Streramflow Dynamics in Lesotho using Machine Learning Methods**
## Repository Structure
- `data/` – CSV datasets (monthly_rainfall, monthly_temperature, monthly_streamflow_original, monthly_streamflow_imputed, cleaned_processed_data_scenario4, cleaned_processed_data_scenario5, final_merged_dataset)
- `notebooks/` – Jupyter notebooks for data cleaning, analysis, and modelling
## Data Coverage
- Period: 2001–2017
- Temporal structure: Monthly datasets
## Methods
Data-Driven methods utilised to predict monthly streamflow in the Malibamats'o river basin
## Author
Retselisitsoe Johannes Leseme
## Access
This repository is publicly accessible strictly for academic and research purposes.