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Machine Learning Project No.1

1 - Dataset Description

2 - Jupyter Notebook

2.1 - Exploratory Data Analysis (using Jupyter Notebook)

2.2 - Preliminary Model Training (using Jupyter Notebook)

3 - Modular Programming

3.1 - Setup

3.1.1 - Folder Structure

3.1.2 - Error, Exception Handling & Logging

3.2 - Data Ingestion

3.3 - Data Transformation

3.4 - Model Training

3.5 - Hyperparameter Tuning