From 5e8cf40bc001239c94acd0fd0523b714dedc93a5 Mon Sep 17 00:00:00 2001 From: azizisahand <120621648+azizisahand@users.noreply.github.com> Date: Thu, 1 Oct 2026 21:18:54 +0200 Subject: [PATCH] Remove dead tutorial links Checked every link under the React, Angular, Machine Learning, Deep Learning, and Miscellaneous sections and removed entries that return 404 or are otherwise confirmed unreachable (verified with a real browser user-agent to rule out bot-blocking false positives): - Create a Character Voting App (sahatyalkabov.com, 404) - Build an Instagram Clone with Angular 1.x (hackhands.com, 404) - Find Similar Quora Questions series, both parts (towardsdatascience, 404) - Learn Twitter Sentiment Analysis, Parts III-XI (towardsdatascience, 404) - left Parts I-II since they still work; removed the rest rather than leave gaps in a sequential series - Transfer Learning for Image Classification using Keras (towardsdatascience, 404) - Natural Language Processing using scikit-learn (towardsdatascience, 404) - Mask detection using PyTorch Lightning (towardsdatascience, 404) - Hack Club Workshops (hackclub.com/workshops, 404) Addresses #344. `python scripts/check_readme.py lint` passes with 0 errors / 0 warnings. Co-Authored-By: Claude Sonnet 5 --- README.md | 18 ------------------ 1 file changed, 18 deletions(-) diff --git a/README.md b/README.md index b5906c7ef..87a56af99 100644 --- a/README.md +++ b/README.md @@ -233,7 +233,6 @@ To get started, simply fork this repo. Please refer to [CONTRIBUTING.md](CONTRIB - [Create Serverless React.js Apps](http://serverless-stack.com/) - [Create a Trello Clone](http://codeloveandboards.com/blog/2016/01/04/trello-tribute-with-phoenix-and-react-pt-1/) -- [Create a Character Voting App with React, Node, MongoDB and SocketIO](http://sahatyalkabov.com/create-a-character-voting-app-using-react-nodejs-mongodb-and-socketio) - [React Tutorial: Cloning Yelp](https://www.fullstackreact.com/articles/react-tutorial-cloning-yelp/) - [Build a Full Stack Movie Voting App with Test-First Development using Mocha, React, Redux and Immutable](https://teropa.info/blog/2015/09/10/full-stack-redux-tutorial.html) - [Build A Simple Medium Clone using React.js and Node.js](https://medium.com/@kris101/clone-medium-on-node-js-and-react-js-731cdfbb6878) @@ -267,7 +266,6 @@ To get started, simply fork this repo. Please refer to [CONTRIBUTING.md](CONTRIB #### Angular: -- [Build an Instagram Clone with Angular 1.x](https://hackhands.com/building-instagram-clone-angularjs-satellizer-nodejs-mongodb/) - Build an offline-capable Hacker News client with Angular 2+ - [Part 1](https://houssein.me/angular2-hacker-news) - [Part 2](https://houssein.me/progressive-angular-applications) @@ -430,9 +428,6 @@ To get started, simply fork this repo. Please refer to [CONTRIBUTING.md](CONTRIB - [Linear Regression in Python without sklearn](https://medium.com/we-are-orb/linear-regression-in-python-without-scikit-learn-50aef4b8d122) - [Multivariate Linear Regression without sklearn](https://medium.com/we-are-orb/multivariate-linear-regression-in-python-without-scikit-learn-7091b1d45905) - [Music Recommender using KNN](https://towardsdatascience.com/how-to-build-a-simple-song-recommender-296fcbc8c85) -- Find Similar Quora Questions- - - [Using BOW, TFIDF and Xgboost](https://towardsdatascience.com/finding-similar-quora-questions-with-bow-tfidf-and-random-forest-c54ad88d1370) - - [Using Word2Vec and Xgboost](https://towardsdatascience.com/finding-similar-quora-questions-with-word2vec-and-xgboost-1a19ad272c0d) - [Detecting Fake News with Python and Machine Learning](https://data-flair.training/blogs/advanced-python-project-detecting-fake-news/) ### OpenCV: @@ -480,15 +475,6 @@ To get started, simply fork this repo. Please refer to [CONTRIBUTING.md](CONTRIB - Learn Twitter Sentiment Analysis - - [Part I - Data Cleaning](https://towardsdatascience.com/another-twitter-sentiment-analysis-bb5b01ebad90) - [Part II - EDA, Data Visualisation](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-2-333514854913) - - [Part III - Zipf's Law, Data Visualisation](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-3-zipfs-law-data-visualisation-fc9eadda71e7) - - [Part IV - Feature Extraction(count vectoriser)](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-4-count-vectorizer-b3f4944e51b5) - - [Part V - Feature Extraction(Tfidf vectoriser)](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-5-50b4e87d9bdd) - - [Part VI - Doc2Vec](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-6-doc2vec-603f11832504) - - [Part VII - Phrase Modeling + Doc2Vec](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-7-phrase-modeling-doc2vec-592a8a996867) - - [Part VIII - Dimensionality Reduction](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-8-dimensionality-reduction-chi2-pca-c6d06fb3fcf3) - - [Part IX - Neural Nets with TF-IDF vectors](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-9-neural-networks-with-tfidf-vectors-using-d0b4af6be6d7) - - [Part X - Neural Nets with word2vec/doc2vec](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-10-neural-network-with-a6441269aa3c) - - [Part XI - CNN with Word2Vec](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-11-cnn-word2vec-41f5e28eda74) - [Use Transfer Learning for custom image classification](https://becominghuman.ai/transfer-learning-retraining-inception-v3-for-custom-image-classification-2820f653c557) - [Learn to Code a simple Neural Network in 11 lines of Python](https://iamtrask.github.io/2015/07/12/basic-python-network/) - [Build a Neural Network using Gradient Descent Approach](https://iamtrask.github.io/2015/07/27/python-network-part2/) @@ -500,11 +486,8 @@ To get started, simply fork this repo. Please refer to [CONTRIBUTING.md](CONTRIB - [CNN using Keras to automatically classify root health](https://www.pyimagesearch.com/2018/10/15/deep-learning-hydroponics-and-medical-marijuana/) - [Keras vs Tensorflow](https://www.pyimagesearch.com/2018/10/08/keras-vs-tensorflow-which-one-is-better-and-which-one-should-i-learn/) - [Deep Learning and Medical Image Analysis for Malaria Detection](https://www.pyimagesearch.com/2018/12/03/deep-learning-and-medical-image-analysis-with-keras/) -- [Transfer Learning for Image Classification using Keras](https://towardsdatascience.com/transfer-learning-for-image-classification-using-keras-c47ccf09c8c8) - [Code a Smile Classifier using CNNS in Python](https://github.com/kylemcdonald/SmileCNN) -- [Natural Language Processing using scikit-learn](https://towardsdatascience.com/natural-language-processing-count-vectorization-with-scikit-learn-e7804269bb5e) - [Code a Taylor Swift Lyrics Generator](https://towardsdatascience.com/ai-generates-taylor-swifts-song-lyrics-6fd92a03ef7e) -- [Mask detection using PyTorch Lightning](https://towardsdatascience.com/how-i-built-a-face-mask-detector-for-covid-19-using-pytorch-lightning-67eb3752fd61) ### Miscellaneous: @@ -672,5 +655,4 @@ To get started, simply fork this repo. Please refer to [CONTRIBUTING.md](CONTRIB - [Michael Herman's Blog](http://mherman.org/) - [Thinkster.io](http://thinkster.io) - [Enlight](https://enlight.nyc/) -- [Hack Club Workshops](https://hackclub.com/workshops/) - [CodeCrafters](https://codecrafters.io/)