{"id":26387689,"url":"https://github.com/pak-app/ai-projects","last_synced_at":"2026-04-17T00:35:29.997Z","repository":{"id":199932243,"uuid":"591904654","full_name":"pak-app/ai-projects","owner":"pak-app","description":"Code For AI Projects Using TensorFlow","archived":false,"fork":false,"pushed_at":"2023-01-29T19:26:36.000Z","size":1563,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-06-15T12:25:58.852Z","etag":null,"topics":["ai","data-science","python","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## AI Projects (Deep Learning \u0026 Machine Learning)\n\n  \n\nThis repository is created for my **AI projects**.\n\nIn this repository you can find and learn about:\n\n\u003e Implement Neural Network\n\u003e Implement Machine learning algorithms\n\u003e Use best optimizers for you algorithms\n\u003e Pre processing of your data\n\u003e Using ***Scikit-Learn***, ***Tensorflow*** and ***Keras***\n\u003e Implement and solve real and amazing problems using *AI algorithms**\n\n### Install neccessary packages:\nBefore run these python codes you should install these neccessary softwares and packages to use:\u003cbr\u003e\n1- Install Python\u003c/br\u003e\n\u003e **Note**: If you didn't install Python, Download [Python](https://www.python.org/downloads/) and install\n\n2- Install Numpy and Pandas\n\u003e **Numpy**: *pip install numpy*\n\u003e \u003cbr\u003e**Pandas**: *pip install pandas*\u003c/br\u003e\n\n3- Install Scikit-Learn\n\u003e **Scikit-Learn**: *pip install -U scikit-learn*\n\n4- Install Tensorflow\n\u003e **Tensorflow**: install *Tensorflow* according to your needs via this [link](https://www.tensorflow.org/install/pip)\n\n ### List of projects:\n  [**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.\n \u003cbr\u003eIn this project you will learn how to prepare photos to analyze and train your neural network using **photos** !!!\u003c/br\u003e\n\u003e**Note**: Because of github upload limitation you have to download dataset via this [link](https://drive.google.com/drive/folders/1LLeYjmjh7JfKPAqNg8lkQ5XVU7MxKTDf?usp=sharing)\n\n[**02-Predict goal possibility**](https://github.com/pak-app/ai-projects/tree/main/02-goal_prediction): Are you fan of football ??\n\u003cbr\u003eIf your answer is **Yes**, you will get all of fun out of this project !!!\u003c/br\u003e\nIf 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 :)\n\u003cbr\u003eSo 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.\u003c/br\u003e\nIn this project we use two diffrent models, **Deep Neural Network** and **SVM**.\n\u003e **Note**: This project was one of questions of quera's challange and its file is available in related link.\n\n[**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. \nIn this project we are going to check and plot best hyperparameters for each algorithms to achieve best result.\n\u003e**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-)\n\n\nIf these projects were helful and you enjoyed like me :heart:\n\u003cbr\u003eThank You :smile:\u003c/br\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpak-app%2Fai-projects","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpak-app%2Fai-projects","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpak-app%2Fai-projects/lists"}