water quality project

[IamYunusAli]

In this pull request, the following implementation has been made:

• load_data.py: Write a function to load a CSV file into a DataFrame.
• clean_data.py: Clean the data—handle missing values, fix invalid entries.
• evaluate.py: Write a class that checks if each row meets safe pH and turbidity ranges.
• main.py: Load, clean, evaluate, and print results—run your full pipeline here.
• Save the output to results.csv.
• Count how many lakes are safe vs unsafe.

To test the workflow and see the pipeline working

1. Install dependencies by running

pip install -r requirements.txt 

2. Run the main.py file from the root directory.

python src/main.py 

3. Check the result saved in results/results.csv

If you have questions, mention me and ask your question. By mentioning me, I can clarify anything that you need