{"id":16509316,"url":"https://github.com/mohd-faizy/datascience-projects","last_synced_at":"2025-10-28T03:31:45.280Z","repository":{"id":56368241,"uuid":"310109831","full_name":"mohd-faizy/DataScience-Projects","owner":"mohd-faizy","description":"Projects : DataScience, Artificial intelligence, Machine learning, Deep Learning ","archived":false,"fork":false,"pushed_at":"2022-10-12T22:46:55.000Z","size":9494,"stargazers_count":7,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-01T11:03:43.081Z","etag":null,"topics":["autoencoder","bert-model","classification-algorithm","convolutional-neural-network","convolutional-neural-networks","dataset","deeplearning","generative-adversarial-network","keras","machine-learning-projects","machinelearning","natural-language-processing","rainforcement-learning","sentiment-analysis","tensorflow"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mohd-faizy.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-11-04T20:24:42.000Z","updated_at":"2024-01-08T19:29:59.000Z","dependencies_parsed_at":"2023-01-19T23:16:59.809Z","dependency_job_id":null,"html_url":"https://github.com/mohd-faizy/DataScience-Projects","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mohd-faizy%2FDataScience-Projects","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mohd-faizy%2FDataScience-Projects/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mohd-faizy%2FDataScience-Projects/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mohd-faizy%2FDataScience-Projects/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mohd-faizy","download_url":"https://codeload.github.com/mohd-faizy/DataScience-Projects/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":238590593,"owners_count":19497350,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["autoencoder","bert-model","classification-algorithm","convolutional-neural-network","convolutional-neural-networks","dataset","deeplearning","generative-adversarial-network","keras","machine-learning-projects","machinelearning","natural-language-processing","rainforcement-learning","sentiment-analysis","tensorflow"],"created_at":"2024-10-11T15:49:55.278Z","updated_at":"2025-10-28T03:31:35.266Z","avatar_url":"https://github.com/mohd-faizy.png","language":null,"readme":"![author](https://img.shields.io/badge/author-mohd--faizy-red)\n![made-with-Markdown](https://img.shields.io/badge/Made%20with-markdown-blue)\n![Language](https://img.shields.io/github/languages/top/mohd-faizy/DataScience-Projects)\n![Platform](https://img.shields.io/badge/platform-Visual%20Studio%20Code-blue)\n![Maintained](https://img.shields.io/maintenance/yes/2021)\n![Last Commit](https://img.shields.io/github/last-commit/mohd-faizy/DataScience-Projects)\n[![GitHub issues](https://img.shields.io/github/issues/mohd-faizy/DataScience-Projects)](https://github.com/mohd-faizy/DataScience-Projects/issues)\n[![Open Source Love svg2](https://badges.frapsoft.com/os/v2/open-source.svg?v=103)](https://opensource.com/resources/what-open-source)\n![Stars GitHub](https://img.shields.io/github/stars/mohd-faizy/DataScience-Projects)\n[![GitHub license](https://img.shields.io/github/license/mohd-faizy/DataScience-Projects)](https://github.com/mohd-faizy/DataScience-Projects/blob/main/LICENSE)\n![Size](https://img.shields.io/github/repo-size/mohd-faizy/DataScience-Projects)\n\n\u003cimg src='https://github.com/mohd-faizy/Projects-ML-DL-RL/blob/main/Projects_png/Proj_img.png'\u003e\n\n\u003cp align='center'\u003e\n  \u003ca href=\"#\"\u003e\u003cimg src='https://tymsai.netlify.app/resource/1.gif' height='10' width=100% alt=\"div\"\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n---\n\n## :heavy_check_mark: :zero::one:**Project - Traffic Sign Classification Using Deep Learning in Python/Keras**\n\n\u003cp align='center'\u003e\n  \u003ca href=\"#\"\u003e\u003cimg src='https://github.com/mohd-faizy/DataScience-Projects/blob/main/Projects_png/01_proj.png?raw=true'\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n\u003e [Click here](https://github.com/mohd-faizy/01P_Project_Deep_Learning_for_Traffic_Sign_Classification)\n\n### Objectives\n\n\u003e - Understand the theory and intuition behind Deep Learning and Convolutional Neural Networks (CNNs).\n\u003e - Import Key python libraries, dataset and perform image visualization.\n\u003e - Perform image normalization and convert images from color-scaled to gray-scaled.\n\u003e - Build a Convolutional Neural Network using Keras with Tensorflow 2.0 as a back-end.\n\u003e - Compile and fit Deep Convolutional Neural Network model to training data.\n\u003e - Assess the performance of trained Convolutional Neural Network model and ensure its generalization using various KPIs.\n\n\u003cp align='center'\u003e\n  \u003ca href=\"#\"\u003e\u003cimg src='https://tymsai.netlify.app/resource/1.gif' height='10' width=100% alt=\"div\"\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n## :heavy_check_mark: :zero::two:**Project - Image Classification with CNNs using Keras**\n\n\u003cp align='center'\u003e\n  \u003ca href=\"#\"\u003e\u003cimg src='https://github.com/mohd-faizy/DataScience-Projects/blob/main/Projects_png/02_proj.png?raw=true'\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n\u003e [Click here](https://github.com/mohd-faizy/02P_Project_Image_Classification_with_CNNs_using_Keras)\n\n### Dataset\n\n\u003e [CIFAR-10](https://www.cs.toronto.edu/~kriz/cifar.html) is a labeled subset of the 80 million tiny images dataset.The 10 different classes represents\n\n:one::airplane:, :two::car:, :three::bird:, :four::cat:, :five::racehorse:, :six::dog2:, :seven::frog:, :eight::horse:, :nine::sailboat:, :one::zero::truck:\n\nTraining a CNN in Keras with a TensorFlow backend to solve Image Classification problems\n\n### Objectives\n\n\u003e - Understand how to create convolutional neural networks in Keras.\n\u003e - Be able to train convolutional neural networks to solve image classification problems.\n\n\u003cp align='center'\u003e\n  \u003ca href=\"#\"\u003e\u003cimg src='https://tymsai.netlify.app/resource/1.gif' height='10' width=100% alt=\"div\"\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n## :heavy_check_mark: :zero::three:**Project - Facial Expression Recognition with Keras!**\n\n\u003cp align='center'\u003e\n  \u003ca href=\"#\"\u003e\u003cimg src= 'https://github.com/mohd-faizy/DataScience-Projects/blob/main/Projects_png/03_proj.png?raw=true'\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n\u003e [Click here](https://github.com/mohd-faizy/03P_Facial_Expression_Recoginition)\n\n### Dataset\n\n\u003e [**Facial Expression Recognition Challenge**](https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/data)\n\n### Objectives\n\n\u003e - Develop a facial expression recognition model in Keras.\n\u003e - Build and train a convolutional neural network (CNN).\n\u003e - Deploy the trained model to a web interface with Flask\n\u003e - Apply the model to real-time video streams and image data.\n\n\u003cp align='center'\u003e\n  \u003ca href=\"#\"\u003e\u003cimg src='https://tymsai.netlify.app/resource/1.gif' height='10' width=100% alt=\"div\"\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n## :heavy_check_mark: :zero::four:**Project - Classify Radio Signals from Outer Space using Keras**\n\n\u003cp align='center'\u003e\n  \u003ca href=\"#\"\u003e\u003cimg src= 'https://github.com/mohd-faizy/DataScience-Projects/blob/main/Projects_png/04_proj.png?raw=true'\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n\u003e [Click here](https://github.com/mohd-faizy/04P-Classify-Radio-Signals-from-Outer-Space-using-Keras)\n\n## **Dataset**\n\n\u003e [**SETI Dataset**](https://drive.google.com/file/d/1R2BlsYydirhMmf89_D1imOT5aVvkXHi2/view?usp=sharing)\n\n### Objectives\n\n\u003e - Build and train a convolutional neural network (CNN) using Keras.\n\u003e - Display results and plot 2D spectrograms with Python in Jupyter Notebook.\n\n\u003cp align='center'\u003e\n  \u003ca href=\"#\"\u003e\u003cimg src='https://tymsai.netlify.app/resource/1.gif' height='10' width=100% alt=\"div\"\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n## :heavy_check_mark: :zero::five:**Project - Understanding Deepfakes with-Keras Using DCGAN**\n\n\u003cp align='center'\u003e\n  \u003ca href=\"#\"\u003e\u003cimg src='https://github.com/mohd-faizy/DataScience-Projects/blob/main/Projects_png/05_proj.png?raw=true'\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n\u003e [Click here](https://github.com/mohd-faizy/05P_Understanding_Deepfakes_with_Keras_Using_DCGAN)\n\n## **Dataset**\n\n\u003e **MNIST**\n\n```python\n\n# Downloding the dataset\n(x_train, y_train), (x_test, y_test) = tfutils.datasets.mnist.load_data(one_hot=False)\n```\n\n### Objectives\n\n\u003e - Implement a Deep Convolutional Generative Adversarial Network (DCGAN).\n\u003e - Train a DCGAN to synthesize realistic looking images.\n\n\u003cp align='center'\u003e\n  \u003ca href=\"#\"\u003e\u003cimg src='https://tymsai.netlify.app/resource/1.gif' height='10' width=100% alt=\"div\"\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n## :heavy_check_mark: :zero::six:**Project - Sentiment Analysis with Deep Learning using BERT**\n\n\u003cp align='center'\u003e\n  \u003ca href=\"#\"\u003e\u003cimg src='https://github.com/mohd-faizy/DataScience-Projects/blob/main/Projects_png/06_proj.png?raw=true'\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n\u003e [Click here](https://github.com/mohd-faizy/06P_Sentiment-Analysis-With-Deep-Learning-Using-BERT)\n\n## **Dataset**\n\n\u003e [**SMILE Twitter DATASET**](https://doi.org/10.6084/m9.figshare.3187909.v2)\n\n### Objectives\n\n\u003e - To Understand what **Sentiment Analysis** is, and how to approach the problem from a neural network perspective.\n\u003e - Loading in pretrained BERT with custom output layer.\n\u003e - Train and evaluate finetuned BERT architecture on Sentiment Analysis.\n\n\u003cp align='center'\u003e\n  \u003ca href=\"#\"\u003e\u003cimg src='https://tymsai.netlify.app/resource/1.gif' height='10' width=100% alt=\"div\"\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n## :heavy_check_mark: :zero::seven:**Project - Tumor-Diagnosis Exploratory Data Analysis on Breast Cancer Wisconsin DataSet**\n\n\u003e [Click here](https://github.com/mohd-faizy/07P_Tumor-Diagnosis-Exploratory-Data-Analysis-on-Breast-Cancer-Wisconsin-DataSet)\n\n\u003cp align='center'\u003e\n  \u003ca href=\"#\"\u003e\u003cimg src='https://github.com/mohd-faizy/DataScience-Projects/blob/main/Projects_png/07_proj.png?raw=true'\u003e\u003c/a\u003e\n\u003c/p\u003e\n    \n## __Dataset__\n\u003e The [Breast Cancer Diagnostic data](https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29) is available on the UCI Machine Learning Repository. This database is also available through the [UW CS ftp server](http://ftp.cs.wisc.edu/math-prog/cpo-dataset/machine-learn/cancer/WDBC/).\n\n### Objectives\n\n\u003e - Produce data visualizations with Seaborn on Breast Cancer Diagnostic data.\n\u003e - Apply graphical techniques used in exploratory data analysis (EDA).\n\u003e - Use differenting Machine Learning Algorithms like **KNN's, PCA, RF \u0026 SVM** for predicting the outcome.\n\n\u003cp align='center'\u003e\n  \u003ca href=\"#\"\u003e\u003cimg src='https://tymsai.netlify.app/resource/1.gif' height='10' width=100% alt=\"div\"\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n## :heavy_check_mark: :zero::eight:**Project - COVID19 Data Analysis Using Python**\n\n\u003e [Click here](https://github.com/mohd-faizy/08P_COVID19_Data_Analysis_Using_Python)\n\n\u003cp align='center'\u003e\n  \u003ca href=\"#\"\u003e\u003cimg src= 'https://github.com/mohd-faizy/08P_COVID19_Data_Analysis_Using_Python/blob/master/Proj_img/head.png?raw=true'width = 800 height = 250\u003e\u003c/a\u003e\n\u003c/p\u003e\n    \n## DataSet\n\u003e1. [COVID19 dataset](https://github.com/CSSEGISandData/COVID-19/blob/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv) published by John Hopkins University.\n\u003e2. [World_Happiness Report](https://github.com/mohd-faizy/08P_COVID19_Data_Analysis_Using_Python/blob/master/world_happiness_report_2019.csv)\n\u003e3. [CSSEGISandData](https://github.com/CSSEGISandData)\n\n### Objectives\n\nIn this Project we are going to work with COVID19 dataset, published by John Hopkins University, which consist of the data related to cumulative number of confirmed cases, per day, in each Country. Also we have another dataset consist of various life factors, scored by the people living in each country around the globe. We are going to merge these two datasets to see if there is any relationship between the spread of the the virus in a country and how happy people are, living in that country.\n\n\u003e - Learn the steps, needed to be taken to prepare our data sources for an analysis.\n\u003e - Learn how to look at our data to find a good measure to establish our analysis based upon.\n\u003e - Learn to visualize the result of our analysis.\n\n\u003cp align='center'\u003e\n  \u003ca href=\"#\"\u003e\u003cimg src='https://tymsai.netlify.app/resource/1.gif' height='10' width=100% alt=\"div\"\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n\n## :heavy_check_mark: :zero::nine:**Project - Detecting COVID 19 with Chest X-Ray using PyTorch**\n\n\n\u003e [Click here](https://github.com/mohd-faizy/09P_Detecting_COVID_19_with_Chest_X-Ray_using_PyTorch)\n\n\u003cp align='center'\u003e\n  \u003ca href=\"#\"\u003e\u003cimg src='https://github.com/mohd-faizy/DataScience-Projects/blob/main/Projects_png/09_proj.png?raw=true'\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n## Dataset\n\n\u003e [**COVID-19 Chest X-ray Database**](https://www.kaggle.com/tawsifurrahman/covid19-radiography-database/download)\n\n### Objectives\n\nTraining __Convolutional Neural Networks(CNN)__ to classify Chest X-Ray scans with reasonably high accuracy.\n\n\u003e - Create custom Dataset and DataLoader in PyTorch.\n\u003e - Train a ResNet-18 model in PyTorch to perform Image Classification.\n\n\u003cp align='center'\u003e\n  \u003ca href=\"#\"\u003e\u003cimg src='https://tymsai.netlify.app/resource/1.gif' height='10' width=100% alt=\"div\"\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n#### $\\color{skyblue}{\\textbf{Connect with me:}}$\n\n\n[\u003cimg align=\"left\" src=\"https://cdn4.iconfinder.com/data/icons/social-media-icons-the-circle-set/48/twitter_circle-512.png\" width=\"32px\"/\u003e][twitter]\n[\u003cimg align=\"left\" src=\"https://cdn-icons-png.flaticon.com/512/145/145807.png\" width=\"32px\"/\u003e][linkedin]\n[\u003cimg align=\"left\" src=\"https://d31pjuirwqbaad.cloudfront.net/wp-content/uploads/2019/08/kissclipart-website-icon-png-clipart-computer-icons-ac62ecb3b8ae4d41.png?x61175\" width=\"32px\"/\u003e][Portfolio]\n\n[twitter]: https://twitter.com/F4izy\n[linkedin]: https://www.linkedin.com/in/mohd-faizy/\n[Portfolio]: https://mohdfaizy.com/\n\n---\n\n\u003cimg src=\"https://github-readme-stats.vercel.app/api?username=mohd-faizy\u0026show_icons=true\" width=380px height=200px /\u003e\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmohd-faizy%2Fdatascience-projects","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmohd-faizy%2Fdatascience-projects","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmohd-faizy%2Fdatascience-projects/lists"}