NAME : MUNISPRIYA R
COMPANY : CODTECH IT SOLUTIONS
ID : CT6WDA380
DOMAIN : DATA ANALYST
DURATION : AUG-SEP 2024
MENTOR : MUZAMMIL AHMED
overview of the project:
Project: Predictive Modeling with Linear Regression
Objective: Implement a simple linear regression model to predict continuous target variables using a dataset.
Dataset: Boston Housing dataset
Tasks:
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Data Preprocessing: Load the dataset, handle missing values, and perform feature scaling (if necessary).
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Data Split: Split the data into training and testing sets (e.g., 80% for training and 20% for testing).
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Model Training: Train a linear regression model on the training data.
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Model Evaluation: Evaluate the model's performance using metrics like Mean Squared Error (MSE) and R-squared.
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Prediction: Make predictions on the test data.
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Visualization: Visualize the regression line and actual vs. predicted values to assess the model's accuracy.
Deliverables:
- A Jupyter Notebook or Python script with the implemented linear regression model.
- A brief report summarizing the model's performance and any observations from the visualization.
Skills Demonstrated:
- Data preprocessing and feature scaling
- Model training and evaluation
- Prediction and visualization
- Understanding of linear regression concepts and metrics (MSE, R-squared)
Tools and Libraries:
- Python
- Pandas
- NumPy
- Scikit-learn (for linear regression)
- Matplotlib (for visualization)
OUTPUT:
