https://github.com/faizantkhan/kaggle-eda-ml-feature-engineering

Explore the Kaggle Codes Repository for concise and powerful code snippets covering the essentials of data science and machine learning. From Kaggle competitions to real-world projects, discover insights into exploratory data analysis, machine learning models, feature engineering, and data science mathematics.
https://github.com/faizantkhan/kaggle-eda-ml-feature-engineering

data-science eda jupyter-notebook kaggle kaggle-competition kaggle-dataset kaggle-scripts kaggle-solution machine-learning machine-learning-algorithms mathematics python python-library

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Explore the Kaggle Codes Repository for concise and powerful code snippets covering the essentials of data science and machine learning. From Kaggle competitions to real-world projects, discover insights into exploratory data analysis, machine learning models, feature engineering, and data science mathematics.

• Host: GitHub
• URL: https://github.com/faizantkhan/kaggle-eda-ml-feature-engineering
• Owner: FAIZANTKHAN
• Created: 2024-04-18T15:04:13.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-05-20T16:30:35.000Z (6 months ago)
• Last Synced: 2024-05-20T20:38:23.784Z (6 months ago)
• Topics: data-science, eda, jupyter-notebook, kaggle, kaggle-competition, kaggle-dataset, kaggle-scripts, kaggle-solution, machine-learning, machine-learning-algorithms, mathematics, python, python-library
• Language: Jupyter Notebook
• Homepage:
• Size: 2.26 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
Welcome to my Kaggle Codes Repository! This repository is your go-to resource for mastering data science and machine learning through practical examples and projects.

📁 Table of Contents

Exploratory Data Analysis (EDA)

Machine Learning Models

Feature Engineering

Data Science Mathematics

Miscellaneous

Each section contains a treasure trove of Jupyter notebooks and Python scripts crafted to elevate your skills in data science.

🚀 Usage

Dive into the folders and immerse yourself in the world of data science. Whether you're a beginner or an expert, there's something here for everyone. Use these code examples to boost your understanding, tackle Kaggle competitions with confidence, or inspire your next data-driven project.

📂 Folder Structure

EDA: Uncover hidden insights in your data through powerful visualizations, statistical analyses, and smart data preprocessing techniques.

Machine Learning Models: Harness the power of machine learning with implementations of algorithms ranging from classics like linear regression to cutting-edge techniques like deep learning.

Feature Engineering: Transform your data into gold with advanced feature selection, engineering, and transformation methods.

Data Science Mathematics: Master the mathematical foundations of data science, from linear algebra to calculus, probability, and statistics.

Miscellaneous: Discover a potpourri of code snippets and notebooks covering a wide array of data science topics.

🤝 Contributing

Let's build this repository together! If you have your own Kaggle codes to share or want to enhance existing ones, don't hesitate to submit a pull request. Your contributions will enrich the learning experience for the entire community.

📝 License

This repository is licensed under the MIT License, granting you the freedom to use the code for any purpose, including commercial projects.

📧 Contact

Got questions, suggestions, or just want to connect? Reach out to me via through my Kaggle profile at faizantalibkhan.

Happy coding and data exploring! 🚀✨