Skip to content

Latest commit

 

History

History
106 lines (75 loc) · 4.17 KB

README.md

File metadata and controls

106 lines (75 loc) · 4.17 KB
Raw

🎓 Machine Learning Projects 🤖

Welcome to the Machine Learning Projects repository! This repository contains various projects showcasing different machine learning algorithms implemented in Python. Each project is designed to illustrate a specific algorithm or concept in machine learning, complete with detailed explanations, code, and visualizations.

📋 Table of Contents

Projects

  1. 📈 Ecommerce Company Data

    • In this project, we analyze the data for the ecommerce website and predict how to maximize the profits.
    • Tech Used: Pandas, Numpy, Matplotlib, Seaborn, Plotly, Scikit-learn
    • Model Used: Linear Regression

  2. 🚢 Titanic Survival Prediction

    • In this project, we predict whether someone would survive the Titanic disaster based on given parameters.
    • Tech Used: Pandas, Numpy, Matplotlib, Seaborn, Plotly, Scikit-learn
    • Model Used: Logistic Regression

  3. 📰 Ads Clicked On Prediction

    • We analyze whether someone would click on the ad based on the given information.
    • Tech Used: Pandas, Numpy, Matplotlib, Seaborn, Plotly, Scikit-learn
    • Model Used: Logistic Regression

  4. 💸 Loan Default Analysis

    • We analyze wether someone would default on there loan or not based upon the provided attributes.
    • Tech Used: Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn
    • Model Used: Decision Tree & Random Forest

  5. ❤🩺 Heart Attack Prediction

    • We analyze wether someone would have a heart attact or not based upon different paramters like the cholestorl, exercise anginia
    • Tech Used: Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn
    • Model Used: All classification model with and without PCA

  6. MNIST Hand Drawn digits Recoginition

    • I have made Number of Deep Convolution Neural Network to analyze and predict the Hand Drawn digits

  7. Cats vs. Dog Classification Model

    • Cats vs dog classification model that is made using the knowlege of Convolutional neural network and Data Augmentation Techniques

Dependencies

  • Python 3.x
  • Pandas
  • Numpy
  • Matplotlib
  • Seaborn
  • Plotly
  • Scikit-Learn
  • Tensorflow
  • Keras
pip install pandas numpy matplotlib plotly seaborn scikit-learn keras tensorflow
python logo jupyter logo numpy logo matplotlib logo tensorflow logo keras logo

Installation

📥 Clone the Repository

git clone https://github.com/ahmedyar7/Machine-Learning-Projects.git

📂 Navigate the Folder & Project file

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

  • Fork the Project
  • Create your Feature Branch (git checkout -b feature/AmazingFeature)
  • Commit your Changes (git commit -m 'Add some AmazingFeature')
  • Push to the Branch (git push origin feature/AmazingFeature)
  • Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.