https://github.com/huseyincenik/deep_learning

Deep Learning #deeplearning
https://github.com/huseyincenik/deep_learning

deep-learning deep-learning-tutorial deep-neural-networks keras keras-neural-networks keras-tensorflow tensorflow tensorflow-tutorials

Last synced: 7 days ago
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Deep Learning #deeplearning

• Host: GitHub
• URL: https://github.com/huseyincenik/deep_learning
• Owner: huseyincenik
• Created: 2023-11-12T13:00:08.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2023-11-22T20:52:38.000Z (11 months ago)
• Last Synced: 2024-09-23T07:33:19.303Z (11 days ago)
• Topics: deep-learning, deep-learning-tutorial, deep-neural-networks, keras, keras-neural-networks, keras-tensorflow, tensorflow, tensorflow-tutorials
• Language: Jupyter Notebook
• Homepage:
• Size: 21.9 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Deep Learning with Python

![Deep Learning](https://theoreticalecology.github.io/machinelearning/images/AI_ML_DL.png)

Welcome to the "Deep Learning with Python" repository! This repository is a collection of materials related to the exploration of deep learning concepts using the Python programming language.

## Overview

Here you will find a variety of resources including:

- **Notebooks**: Jupyter notebooks covering fundamental concepts, neural network architectures, and practical applications of deep learning.

- **Code**: Python scripts and utilities for implementing deep learning models and algorithms.

- **Projects**: End-to-end deep learning projects showcasing applications in computer vision, natural language processing, and more.

## Getting Started

To get started, feel free to explore the contents of each directory. Each directory contains its own README file with specific instructions and details about the materials it contains.

## Projects

| Project Name                              | Description                                | GitHub                                     | Kaggle                                       |

|-------------------------------------------|--------------------------------------------|--------------------------------------------------------|-------------------------------------------------------|

| Churn Prediction in Banking               | A machine learning approach to predict churn in banking data. | [GitHub](https://github.com/huseyincenik/deep_learning/tree/main/Projects/churn_prediction_in_banking) | [Kaggle](https://www.kaggle.com/code/huseyincenik/churn-prediction-in-banking-deep-learning-approach) |

| Churn Prediction in HR Data (ML & DL)     | Churn prediction using both machine learning and deep learning approaches on HR data. | [GitHub](https://github.com/huseyincenik/deep_learning/tree/main/Projects/churn_prediction_in_hr_data_ml_dl_approach) | [Kaggle](https://www.kaggle.com/code/osmanerkekol/hr-churn-prediction-using-ml) [Kaggle](https://www.kaggle.com/code/gizemsahinkaya/hr-churn-analysis-using-dl) |

## Contributing

Contributions are welcome! If you find any issues or have suggestions for improvement, please open an issue or submit a pull request.

## Additional Resources and Sites

- [Deep Learning AI](https://www.deeplearning.ai/): A platform providing online courses and resources on deep learning.

- [TensorFlow Official Documentation](https://www.tensorflow.org/): Official documentation for TensorFlow, a popular deep learning framework.

- [OpenAI](https://www.openai.com/): An artificial intelligence research lab focused on deep learning and AI safety.

- [Towards Data Science on Medium](https://towardsdatascience.com/): A Medium publication featuring articles on deep learning, machine learning, and data science.

- [Distill.pub](https://distill.pub/): A journal for research in machine learning, emphasizing clarity and accessibility.

Happy learning and coding!