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  1. DEP-Task-3-Customer-Churn-Prediction DEP-Task-3-Customer-Churn-Prediction Public

    A machine learning project to predict customer churn using an Artificial Neural Network (ANN) model. The goal is to accurately classify customers who are likely to churn based on their demographic …

    Jupyter Notebook 1

  2. DEP-Task-1-House-Price-Prediction DEP-Task-1-House-Price-Prediction Public

    This project focuses on building a model to predict house prices in California using various features such as location, size, and number of bedrooms. The project includes data cleaning, feature eng…

    Jupyter Notebook

  3. DEP-Task-2-Spam-Email-Classifier DEP-Task-2-Spam-Email-Classifier Public

    This project focuses on building a classifier to distinguish between spam and ham emails using Logistic Regression. Key steps include data preprocessing, feature extraction with TF-IDF vectorizatio…

    Jupyter Notebook

  4. DEP-Task-4-Image-Classification-Cifar10 DEP-Task-4-Image-Classification-Cifar10 Public

    Developed a Convolutional Neural Network (CNN) model to classify images into 10 categories. The project includes data augmentation, model building, training, and evaluation.

    Jupyter Notebook