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1. Customer-Churn-Predictor Customer-Churn-Predictor Public

   Predicting customer attrition before it happens. This project uses machine learning to identify customers at high risk of leaving, allowing for proactive retention strategies.

   Jupyter Notebook

2. CNN-MNIST CNN-MNIST Public

   Comparison of MLP and CNN architectures for MNIST digit classification using TensorFlow.

   Python

3. EDA-Disney EDA-Disney Public

   Exploratory Data Analysis (EDA) of Disney+ movies and TV shows dataset using Python. Insights into content trends, ratings, and genres.

   Jupyter Notebook

4. Housing-Price-Predictor Housing-Price-Predictor Public

   Real estate price prediction using regression models. A data science project focused on estimating property values based on key features.

   Jupyter Notebook

5. Iris-Flower-Classification Iris-Flower-Classification Public

   Machine learning model to classify Iris flower species (Setosa, Versicolor, Virginica) based on sepal and petal measurements. Built with Python and Scikit-learn.

   Jupyter Notebook

6. My-Linear-Regression My-Linear-Regression Public

   A practical approach to understanding Linear Regression. This project covers building from scratch my own Linear Regression implementation in Python.

   Jupyter Notebook