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1. Creating-Pipeline Creating-Pipeline Public

   A complete machine learning pipeline using Decision Tree Regression with preprocessing transformations. The model is serialized using Pickle, enabling easy reuse for predictions on new data.

   Jupyter Notebook

2. EDA-Analysis EDA-Analysis Public

   In-depth EDA to uncover patterns, trends, and insights using visualizations and statistical summaries. Includes data cleaning, feature understanding, and correlation analysis.

   Jupyter Notebook

3. ElasticNet-Regression ElasticNet-Regression Public

   A Python implementation of ElasticNet Regression, combining L1 and L2 regularization to improve model performance and feature selection on random generated datasets

   Jupyter Notebook

4. Pandas-Profiling Pandas-Profiling Public

   Automated EDA (Exploratory Data Analysis) using Pandas Profiling to generate interactive reports for quick insights into dataset structure, missing values, correlations, and distrib

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5. Task-with-Flask Task-with-Flask Public

   TaskManager-Flask is a simple web-based task management application built with Flask and SQLAlchemy. The app uses SQLite as the database to store tasks, and each task has an associated creation dat…

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6. PCA-Implementation PCA-Implementation Public

   An implementation of Principal Component Analysis (PCA) for dimensionality reduction on the MNIST dataset. This project reduces the feature space and visualizes the impact of PCA on classification …

   Jupyter Notebook