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📊 Data Science

👤 Author

Adhul Paramel Sathish

📂 Overview

This folder contains notebooks and scripts created during my data science learning journey. It covers Python, statistics, data analysis, machine learning, deep learning, NLP, time series, and model deployment.

🛠️ Tools & Technologies

  • Python
  • Google Colab / Jupyter Notebook
  • NumPy, Pandas
  • Matplotlib, Seaborn
  • Scikit-learn
  • TensorFlow / Keras
  • XGBoost, LightGBM
  • Streamlit

📁 Topics Covered

  • Python & Statistics
  • Exploratory Data Analysis & Data Transformation
  • Machine Learning & Ensemble Models
  • Deep Learning & RNNs
  • NLP & Recommendation Systems
  • Time Series Analysis
  • Model Deployment

🎯 Purpose

To gain hands-on experience with core data science concepts and build a practical learning portfolio.

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Collection of python code of various topics in Data Science.

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