I've completed a number of deep learning and machine learning projects in this repository. In the future, I'll be adding other projects as well. The majority of the data was gathered from Kaggle, TensorFlow datasets, and other places that offer free data. In order to create my models, I used the Google Colab environment.
I have also created a one responsive disease classification web app using Streamlit.
- Python
- Jupyter Notebook
git clone
https://github.com/Micky373/AI_projects
cd AI_projects
pip install -r requirements.txt
Since the data was big I didn't push it to GitHub but you can find all the data that I used to train the models here
cd
notebooks
Here in the notebooks folder there are multiple machine learning and deep learning projects
I have created one multiple disease classification streamlit web app you can check it out by running
streamlit run multiple_disease_prediction.py
Each machine learning and deep learning models are located in the
models
folder
- GitHub: Micky
- LinkedIn: Michael Tamirie
Contributions, issues, and feature requests are welcome!
Feel free to check the issues page.
Give a ⭐️ if you like this project!
- Huge thanks for Siddhardhan S who provided this playlist on you tube