https://github.com/pak-app/ai-projects
Code For AI Projects Using TensorFlow
https://github.com/pak-app/ai-projects
ai data-science python tensorflow
Last synced: 3 months ago
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Code For AI Projects Using TensorFlow
- Host: GitHub
- URL: https://github.com/pak-app/ai-projects
- Owner: pak-app
- Created: 2023-01-22T09:45:16.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-01-29T19:26:36.000Z (over 3 years ago)
- Last Synced: 2024-06-15T12:25:58.852Z (about 2 years ago)
- Topics: ai, data-science, python, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 1.49 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## AI Projects (Deep Learning & Machine Learning)
This repository is created for my **AI projects**.
In this repository you can find and learn about:
> Implement Neural Network
> Implement Machine learning algorithms
> Use best optimizers for you algorithms
> Pre processing of your data
> Using ***Scikit-Learn***, ***Tensorflow*** and ***Keras***
> Implement and solve real and amazing problems using *AI algorithms**
### Install neccessary packages:
Before run these python codes you should install these neccessary softwares and packages to use:
1- Install Python
> **Note**: If you didn't install Python, Download [Python](https://www.python.org/downloads/) and install
2- Install Numpy and Pandas
> **Numpy**: *pip install numpy*
>
**Pandas**: *pip install pandas*
3- Install Scikit-Learn
> **Scikit-Learn**: *pip install -U scikit-learn*
4- Install Tensorflow
> **Tensorflow**: install *Tensorflow* according to your needs via this [link](https://www.tensorflow.org/install/pip)
### List of projects:
[**01-Handwriting Recognizer**](https://github.com/pak-app/ai-projects/tree/main/01-mnist_dataset_hand_writing): In this project we are going to implement deep neural network to recognize digits from 0 to 9.
In this project you will learn how to prepare photos to analyze and train your neural network using **photos** !!!
>**Note**: Because of github upload limitation you have to download dataset via this [link](https://drive.google.com/drive/folders/1LLeYjmjh7JfKPAqNg8lkQ5XVU7MxKTDf?usp=sharing)
[**02-Predict goal possibility**](https://github.com/pak-app/ai-projects/tree/main/02-goal_prediction): Are you fan of football ??
If your answer is **Yes**, you will get all of fun out of this project !!!
If your answer is **No** , don't worry you will get fun out of this project as much as football fans too and you may like this sport :)
So in this project you have some features about players and theirs abilitie. In addition of that you have some information about player position to caculate propability of goal.
In this project we use two diffrent models, **Deep Neural Network** and **SVM**.
> **Note**: This project was one of questions of quera's challange and its file is available in related link.
[**03-Perotein Classification**](https://github.com/pak-app/ai-projects/tree/main/03-perotein-classification): In this project we are going to classify proteins using KNN and RandomForest algorithms. In addition building models, we do data preprocessing in this project and you can learn some tricks in it.
In this project we are going to check and plot best hyperparameters for each algorithms to achieve best result.
>**Note**: Because of github upload limitation you have to download dataset via this [link](https://drive.google.com/drive/u/0/folders/1Bn_6w_PWJqZhzxjxSvO2DzYqJMLhhzK-)
If these projects were helful and you enjoyed like me :heart:
Thank You :smile: