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Preparing for GATE-DA 2027
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Preparing for GATE-DA 2027

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AnmolPatel20/README.md

Data Science | Machine Learning | Deep Learning

Building robust Machine Learning systems for reliable, real-world intelligent solutions.

Focused on statistical modeling, intelligent system design, and end-to-end ML deployment.


GATE DA 2027

Preparing for GATE Data Science & AI 2027
A one-stop hub for GATE DA preparation with handwritten notes, solved PYQs, wall notes, and formula sheets—continuously updated as I progress.


✔️ Comprehensive Handwritten Notes
✔️ Topic-wise PYQs with Explanations
✔️ Short Wall Notes for Quick Revision
✔️ Formula Sheets & Cheat Sheets
Explore the Complete Collection →

Contact

               


Languages & Tools

Programming

Python C C++

Data Science

NumPy Pandas Matplotlib Seaborn Scikit-Learn Jupyter OpenCV

Deep Learning

Scikit-Learn TensorFlow PyTorch

Backend & Database

Flask MySQL SQLAlchemy MongoDB REST API

Cloud Platforms

AWS Oracle Cloud GitHub Pages

Web

Prompt Engineering HTML5 CSS3 JavaScript

Tools

Git GitHub VS Code Jupyter Tableau Power%20BI Excel Postman


GitHub Analytics

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  1. LeetCode LeetCode Public

    Daily LeetCode practice : Solving 1 problem every day to strengthen DSA and problem-solving skills.

    Python 1

  2. NextFlix_Recommendation_System NextFlix_Recommendation_System Public

    NextFlix is a movie recommendation system that uses Apriori association rule mining to suggest movies and analyze relationships using support, confidence, and lift.

    Jupyter Notebook 1

  3. Car-Resale-Price-Predictor-RandomForest Car-Resale-Price-Predictor-RandomForest Public

    Predicts resale price of pre-owned vehicles using Random Forest Regression trained on 15,000+ CarDekho listings , based on features like engine, mileage, max power, and fuel type. Achieves 94% R² s…

    Jupyter Notebook 1

  4. Holiday-Package-Prediction-Randomforest Holiday-Package-Prediction-Randomforest Public

    Helping Trips & Travel.Com reduce marketing costs by predicting which customers are most likely to purchase a holiday package — powered by Random Forest. Click Below Link to see ML Pipeline

    Jupyter Notebook 3

  5. Breast-Cancer-PCA-implementation Breast-Cancer-PCA-implementation Public

    Dimensionality reduction on the Breast Cancer Wisconsin dataset using PCA — compressing 30 features to 2 components and achieving 99% classification accuracy with Logistic Regression.

    Jupyter Notebook 1

  6. VidBrain VidBrain Public

    Python 1