MachineLearningProject

This project is focused on loading test data and training a machine learning model. It includes the following key features:

• Data Preprocessing: Cleaning and preparing the data for analysis.
• Data Visualization and Problem Identification: Visualizing data to identify patterns and potential issues.
• Data Correction: Correcting any identified issues in the data.
• Multiple Training and Evaluation Scenarios: Training the model using various scenarios and evaluating its performance.
• Confusion Matrix Computation: Computing the confusion matrix to assess the model's accuracy.

Setup

1. Clone the repository:

   git clone https://github.com/pavithra19/MachineLearningProject.git
   cd MachineLearningProject

2. Install the required dependencies:

   pip install "required_dependency_package"

Usage

Run the main script to start the data processing and model training:

python convert_data.py