Welcome to my Machine Learning Framework!

This is a Python-based machine learning framework designed for data handling and preprocessing. its really just practice of OOP in python, you can try recreate this step by step to hone your skills

• Data loading from CSV, Parquet, and Pickle formats.
• Data splitting for model training and testing.
• Data preprocessing for handling missing values and scaling features.
• Practice Object-Oriented Programming (OOP) in a fun way!

• Linear regression
• KNN

1. Clone this repository to your local machine:

   • git clone https://github.com/your-username/ml-framework.git
     

2. Install the required dependencies:

   • pip install -r requirements.txt

3. Start using the framework in your projects!

   Usage:

   You can use this framework by creating instances of the DataHandler and DataPreprocessor classes. Here's an example:

   #Import the classes 
   from data_handler import DataHandler 
   from data_preprocessor import DataPreprocessor 
   # Load data 
   data_handler = DataHandler("your_dataset.csv") 
   data_handler.load_data() 
   # Split the data 
   data_handler.splitting(test_size=0.2) 
   # Preprocess the data 
   preprocessor = DataPreprocessor(data_handler.train_data) 
   preprocessed_data = preprocessor.transform() 
   # Now you're ready for machine learning!