{"id":21996661,"url":"https://github.com/silvermete0r/31github","last_synced_at":"2026-01-11T18:25:58.756Z","repository":{"id":210276707,"uuid":"726159807","full_name":"silvermete0r/31github","owner":"silvermete0r","description":"31 Days of Programming Challenge - Machine Learning Algorithms \u0026 Data Analysis ","archived":false,"fork":false,"pushed_at":"2024-06-13T11:11:59.000Z","size":24081,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-31T08:34:23.321Z","etag":null,"topics":["data-science","deep-learning","machine-learning","python","statistics","streamlit","tensorflow"],"latest_commit_sha":null,"homepage":"https://dataflow.streamlit.app/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/silvermete0r.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-12-01T16:57:15.000Z","updated_at":"2024-06-13T11:07:33.000Z","dependencies_parsed_at":"2023-12-01T19:25:18.816Z","dependency_job_id":"91fa5c44-3de7-4859-a833-dd3387eef133","html_url":"https://github.com/silvermete0r/31github","commit_stats":null,"previous_names":["silvermete0r/31github"],"tags_count":4,"template":false,"template_full_name":null,"purl":"pkg:github/silvermete0r/31github","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/silvermete0r%2F31github","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/silvermete0r%2F31github/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/silvermete0r%2F31github/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/silvermete0r%2F31github/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/silvermete0r","download_url":"https://codeload.github.com/silvermete0r/31github/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/silvermete0r%2F31github/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28317702,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-11T14:58:17.114Z","status":"ssl_error","status_checked_at":"2026-01-11T14:55:53.580Z","response_time":60,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["data-science","deep-learning","machine-learning","python","statistics","streamlit","tensorflow"],"created_at":"2024-11-29T22:12:13.065Z","updated_at":"2026-01-11T18:25:58.740Z","avatar_url":"https://github.com/silvermete0r.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n![DataFlow_v1 0](https://github.com/silvermete0r/31github/assets/108217670/87f2677b-f82e-4354-9084-42fcfadbb3b7)\n\n# 31 Days DS/ML Challenge\n[![Star](https://img.shields.io/github/stars/silvermete0r/31github.svg?logo=github\u0026style=flat-square)](https://github.com/silvermete0r/31github)\u0026nbsp;\n[![Fork](https://img.shields.io/github/forks/silvermete0r/31github.svg?logo=github\u0026style=flat-square)](https://github.com/silvermete0r/31github)\u0026nbsp;\n[![Watch](https://img.shields.io/github/watchers/silvermete0r/31github.svg?logo=github\u0026style=flat-square)](https://github.com/silvermete0r/31github)\u0026nbsp;\n[![Follow](https://img.shields.io/github/followers/silvermete0r.svg?logo=github\u0026style=flat-square)](https://github.com/silvermete0r/31github)\u0026nbsp;\n[![License](https://img.shields.io/github/license/silvermete0r/31github.svg?logo=github\u0026style=flat-square)](https://github.com/silvermete0r/31github)\n\n31 Days of Programming Challenge - Machine Learning \u0026amp; Data Analysis.\n\n* **Programming Language:** Python; \n* **Framework:** Streamlit;\n* **Tools:** Machine Learning, Data Analysis Libraries \u0026 Modules;\n\n\u003c!-- ABOUT ME --\u003e\n## 🧔 About Me\n\n👋 My name is Arman, and I have accepted the challenge of 31 days of coding from [GrowthHungry](https://www.growthhungry.life/challenge)\n\n📚 I\\'m currently learning `Data Science` and `Machine Learning`.\n\n👨‍💻 All of my projects are available at [my GitHub](https://github.com/silvermete0r)\n\n[![LinkedIn][linkedin-shield]][linkedin-url]\n\n\u003c!-- Projects Table --\u003e\n\n## 📂 My Projects [#31Github Challenge]\n| Title | Project | Description | Reference |\n| ------- | ----------- | --------- | --------- |\n| [Day_#1](https://github.com/silvermete0r/31github/blob/master/projects/day1.py)  | 🏀 NBA Player Stats Explorer | This app analyzes data about NBA Basketball Player Stats in Regular Seasons! Data taken from official resource using web scraping! | Data Professor |\n| [Day_#2](https://github.com/silvermete0r/31github/blob/master/projects/day2.py)  | 📈 Stocks Price Web App | This app retrieves the list of the S\u0026P 500 from Wikipedia and analyzes these companies' stats using yfinance! | Data Professor |\n| [Day_#3](https://github.com/silvermete0r/31github/blob/master/projects/day3.py)  | 🧰 Streamlit Toolkit | This app provides fully-explained useful cheatsheet for Streamlit Framework! | Streamlit Docs |\n| [Day_#4](https://github.com/silvermete0r/31github/blob/master/projects/day4.py)  | 💎 No-Code ML Web App based on XGBoostRegressor | This app provides a no-code web interface to use XGBoostRegressor for training \u0026 testing Machine Learning Models based on various datasets. | Data Professor |\n| [Day_#5](https://github.com/silvermete0r/31github/blob/master/projects/day5.py)  | 🗃️ Excel \u0026 CSV Files Multi Merger | This app merges multiple excel \u0026 csv files into one file. | Data Professor |\n| [Day_#6](https://github.com/silvermete0r/31github/blob/master/projects/day6.py)  | 📊 Machine Learning Model Performance Calculator | This app evaluates the performance of machine learning models using various metrics. | Data Professor |\n| [Day_#7](https://github.com/silvermete0r/31github/blob/master/projects/day7.py)  | 🖼️ Image Quality Enhancement Web App | This app enhances the quality of an image using various techniques. | OpenCV Docs |\n| [Day_#8](https://github.com/silvermete0r/31github/blob/master/projects/day8.py)  | 😺 Github Profile Data Analyzer Web App | This app analyzes the data of any Github profile using Github API. | Github API Docs |\n| [Day_#9](https://github.com/silvermete0r/31github/blob/master/projects/day9.py)  | 🧑 Face Recognition Web App | This app detects faces in uploaded images using Haar Cascades. | OpenCV Haar Cascades |\n| [Day_#10](https://github.com/silvermete0r/31github/blob/master/projects/day10.py)  | 💡 Multi-Object Classifier Web App | This app predicts the class of different objects in an image using a pre-trained MobileNetV2 model. | MobileNetV2 |\n| [Day_#11](https://github.com/silvermete0r/31github/blob/master/projects/day11.py)  | 👾 Tensorflow Image Classification DL Model Training Baseline | This app trains a simple CNN model on the MNIST dataset using Tensorflow. | Tensorflow Guide |\n| [Day_#12](https://github.com/silvermete0r/31github/blob/master/projects/day12.py)  | 🌸 Tensorflow Simple Iris Classification App | This app demonstrates a simple TensorFlow Iris classification model using the Sklearn Iris dataset. | Tensorflow Guide |\n| [Day_#13](https://github.com/silvermete0r/31github/blob/master/projects/day13.py)  | 🏠 Tensorflow Regression Model Training Based on Boston Housing Dataset | This app demonstrates a simple Tensorflow regression model using the Boston Housing dataset. | Tensorflow Guide |\n| [Day_#14](https://github.com/silvermete0r/31github/blob/master/projects/day14.py)  | 📝 Text Summarization using HuggingFace Transformers | This app is a simple text summarization app using HuggingFace Transformers. | HuggingFace Transformers |\n| [Day_#15](https://github.com/silvermete0r/31github/blob/master/projects/day15.py)  | 📝 Text Sentiment Analysis using HuggingFace Transformers | This app is a simple text sentiment analysis app using `BERT` model from HuggingFace Transformers. | HuggingFace Transformers |\n| [Day_#16](https://github.com/silvermete0r/31github/blob/master/projects/day16.py)  | 📝 Text Completion using HuggingFace Transformers | This app is a simple text completion app using GPT-2 model from HuggingFace Transformers. | HuggingFace Transformers |\n| [Day_#17](https://github.com/silvermete0r/31github/blob/master/projects/day17.py)  | 📝 Named Entity Recognition (NER) using BERT model from HuggingFace | This app helps to identify the entities in a given text. The `bert-base-NER` model used from HuggingFace. | HuggingFace Transformers |\n| [Day_#18](https://github.com/silvermete0r/31github/blob/master/projects/day18.py)  | 📝 Text English to French Language Translation App | This app uses the `Helsinki-NLP/opus-mt-en-fr` model to translate English text to French. | HuggingFace Transformers |\n| [Day_#19](https://github.com/silvermete0r/31github/blob/master/projects/day19.py)  | 📷 Instagram Analytics Web App | This app uses the `instaloader` library to download Instagram profile data. | Instaloader |\n| [Day_#20](https://github.com/silvermete0r/31github/blob/master/projects/day20.py)  | 🥮 Cryptocurrency Analytics Web App | This app is cryptocurrency analytics dashboard that allows you to analyze price, volume, and volatility of different cryptocurrencies. | Cryptocompare API |\n| [Day_#21](https://github.com/silvermete0r/31github/blob/master/projects/day21.py)  | 💰 Data Scientists Salary Analysis | This app shows how to use Streamlit to create charts and plots for data visualization on the example of Data Scientists Salary Analysis. | Streamlit Docs |\n| [Day_#22](https://github.com/silvermete0r/31github/blob/master/projects/day22.py)  | 🧹 Image Background Remover Web App | This app removes the background of an image using a python `rembg` module. | tyler-simons/BackgroundRemoval |\n| [Day_#23](https://github.com/silvermete0r/31github/blob/master/projects/day23.py)  | 🛠️ QazNLTK - kazakh language processing library based Web App | This app show the basic usage of `QazNLTK` library. | QazNLTK |\n| [Day_#24](https://github.com/silvermete0r/31github/blob/master/projects/day24.py)  | 📰 HackerNews Streamlit App | This app is a clone of [HackerNews](https://news.ycombinator.com/) in Streamlit UI. | HackerNews API |\n| [Day_#25](https://github.com/silvermete0r/31github/blob/master/projects/day25.py)  | 📜 Certificate of Completion Generator | This app is a simple certificate of completion generator using `OpenCV` and `Pillow`. | OpenCV Docs |\n| [Day_#26](https://github.com/silvermete0r/31github/blob/master/projects/day26.py)  | 🗺️ Streamlit Maps Web App | This app is a demo of the Streamlit Maps functionality. | Streamlit Docs |\n| [Day_#27](https://github.com/silvermete0r/31github/blob/master/projects/day27.py)  | ⏰ Time Series Forecasting with NeuralProphet | This app is a demo of Time Series Forecasting with NeuralProphet. | NeuralProphet |\n| [Day_#28](https://github.com/silvermete0r/31github/blob/master/projects/day28.py)  | ⚙️ Optuna - Auto Hyperparameter Tuning WebApp | This app is a demo of Optuna - Auto Hyperparameter Tuning. | Optuna Docs |\n| [Day_#29](https://github.com/silvermete0r/31github/blob/master/projects/day29.py)  | 🧠 Brain Tumor Detection using TensorFlow | This app is a demo of Brain Tumor Detection using TensorFlow. | Tensorflow Guide |\n| [Day_#30](https://github.com/silvermete0r/31github/blob/master/projects/day30.py)  | 📚 Storytelling with Data Visualization using `ipyvizzu` | This app is a simple example of how to use `ipyvizzu` to create interactive data visualization. | Data Professor |\n| [Day_#31](https://github.com/silvermete0r/31github/blob/master/projects/day31.py)  | 🎄 Happy New Year 2024 Streamlit App! | This app is a last app for 2023 Github 31 Days of Streamlit Challenge. | Streamlit Community |\n\n\n\u003c!-- LICENSE --\u003e\n## 🛡️ License\n\u003ca href=\"https://github.com/silvermete0r/31github/blob/master/LICENSE\"\u003e\u003cimg src=\"https://img.shields.io/github/license/silvermete0r/31github?style=plastic\"\u003e\u003c/a\u003e\n\n\u003c!-- CONTACTS --\u003e\n\n## ☎️ Contacts\n\n🧐 Author: Arman Zhalgasbayev - [@grembim](https://www.instagram.com/grembim/)\n\n📬 Email: supwithproject@gmail.com\n\n📦 Project Link (Github Repository): [https://github.com/silvermete0r/31github/](https://github.com/silvermete0r/31github/)\n\n\u003c!-- SUPPORT --\u003e\n\n## 👨‍🚀 Show your support\n\nGive a ⭐️ if you liked this project!\n\n\u003c!-- ACKNOWLEDGEMENTS --\u003e\n\n## ⚓ Acknowledgements\n\n1. [Streamlit Community](https://streamlit.io/)\n2. [Data Professor](https://github.com/dataprofessor)\n\n\u003c!-- MARKDOWN LINKS \u0026 IMAGES --\u003e\n[linkedin-shield]: https://img.shields.io/badge/-LinkedIn-black.svg?style=flat-square\u0026logo=linkedin\u0026colorB=555\n[linkedin-url]: https://linkedin.com/in/arman-zhalgasbayev/\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsilvermete0r%2F31github","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsilvermete0r%2F31github","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsilvermete0r%2F31github/lists"}