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https://github.com/zenitsu0509/projects
This Repo contains my projects that I have worked on so far.
https://github.com/zenitsu0509/projects
deep-neural-networks machine-learning
Last synced: about 2 months ago
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This Repo contains my projects that I have worked on so far.
- Host: GitHub
- URL: https://github.com/zenitsu0509/projects
- Owner: zenitsu0509
- Created: 2024-07-19T01:18:17.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-11-04T08:53:38.000Z (2 months ago)
- Last Synced: 2024-11-04T09:33:31.457Z (2 months ago)
- Topics: deep-neural-networks, machine-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 13.5 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Machine Learning and Deep Learning Projects
Welcome to my repository dedicated to my Machine Learning and Deep Learning projects. This collection represents a combination of my own work and enhancements on existing projects sourced from GitHub and other resources.
Overview
I have aimed to improve these projects by adding my unique touch and refining their performance. Each project is a step forward in my journey of learning and applying advanced machine learning and deep learning techniques.
Contributions
While these projects are not entirely my original creations, I have made significant modifications to improve their accuracy and effectiveness. Your feedback and suggestions are highly appreciated as they help me learn and grow.
How to Contribute
If you have any suggestions for improving these projects or if you can teach me how to make them more accurate and better, please feel free to reach out. I am always eager to learn new things and enhance my skills.
Projects Included
-
Delhi Weather Prediction Model using MAchine Learning algorithm -
Function Generator Test the power of Neural Network as universal function Approximator - Text Prediction Model Using LSMT
-
Time Series For Casting Using XGBoost -
Titanic Model Both using ml and neural network
Getting Started
To get started with any of the projects, follow the instructions provided in the respective project directories.
Happy coding!😊