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Fix 18 dead tutorial links (TDS→Medium archive, moved/archived blogs) #940

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Fix 18 dead tutorial links (TDS→Medium archive, moved/archived blogs) #940

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36 changes: 18 additions & 18 deletions README.md
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Expand Up @@ -233,7 +233,7 @@ 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)
- [Create a Character Voting App with React, Node, MongoDB and SocketIO](https://web.archive.org/web/20201108114558/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)
Expand Down Expand Up @@ -267,11 +267,11 @@ 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 Instagram Clone with Angular 1.x](https://web.archive.org/web/20171008172639/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)
- [Build a Google+ clone with Django and AngularJS (Angular 1.x)](https://thinkster.io/django-angularjs-tutorial)
- [Build a Google+ clone with Django and AngularJS (Angular 1.x)](https://github.com/gothinkster/thinkster-django-angular-tutorial)
- Build A Beautiful Real World App with Angular 8 :

- [Part I](https://medium.com/@hamedbaatour/build-a-real-world-beautiful-web-app-with-angular-6-a-to-z-ultimate-guide-2018-part-i-e121dd1d55e)
Expand Down Expand Up @@ -431,8 +431,8 @@ To get started, simply fork this repo. Please refer to [CONTRIBUTING.md](CONTRIB
- [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)
- [Using BOW, TFIDF and Xgboost](https://medium.com/data-science/finding-similar-quora-questions-with-bow-tfidf-and-random-forest-c54ad88d1370)
- [Using Word2Vec and Xgboost](https://medium.com/data-science/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:
Expand Down Expand Up @@ -480,15 +480,15 @@ 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)
- [Part III - Zipf's Law, Data Visualisation](https://medium.com/data-science/another-twitter-sentiment-analysis-with-python-part-3-zipfs-law-data-visualisation-fc9eadda71e7)
- [Part IV - Feature Extraction(count vectoriser)](https://medium.com/data-science/another-twitter-sentiment-analysis-with-python-part-4-count-vectorizer-b3f4944e51b5)
- [Part V - Feature Extraction(Tfidf vectoriser)](https://medium.com/data-science/another-twitter-sentiment-analysis-with-python-part-5-50b4e87d9bdd)
- [Part VI - Doc2Vec](https://medium.com/data-science/another-twitter-sentiment-analysis-with-python-part-6-doc2vec-603f11832504)
- [Part VII - Phrase Modeling + Doc2Vec](https://medium.com/data-science/another-twitter-sentiment-analysis-with-python-part-7-phrase-modeling-doc2vec-592a8a996867)
- [Part VIII - Dimensionality Reduction](https://medium.com/data-science/another-twitter-sentiment-analysis-with-python-part-8-dimensionality-reduction-chi2-pca-c6d06fb3fcf3)
- [Part IX - Neural Nets with TF-IDF vectors](https://medium.com/data-science/another-twitter-sentiment-analysis-with-python-part-9-neural-networks-with-tfidf-vectors-using-d0b4af6be6d7)
- [Part X - Neural Nets with word2vec/doc2vec](https://medium.com/data-science/another-twitter-sentiment-analysis-with-python-part-10-neural-network-with-a6441269aa3c)
- [Part XI - CNN with Word2Vec](https://medium.com/data-science/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/)
Expand All @@ -500,11 +500,11 @@ 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)
- [Transfer Learning for Image Classification using Keras](https://medium.com/data-science/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)
- [Natural Language Processing using scikit-learn](https://hunterheidenreich.com/posts/intro-to-word-embeddings/)
- [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)
- [Mask detection using PyTorch Lightning](https://medium.com/data-science/how-i-built-a-face-mask-detector-for-covid-19-using-pytorch-lightning-67eb3752fd61)

### Miscellaneous:

Expand Down Expand Up @@ -670,7 +670,7 @@ To get started, simply fork this repo. Please refer to [CONTRIBUTING.md](CONTRIB
- [Exercism](http://www.exercism.io/)
- [Egghead.io](http://www.egghead.io/)
- [Michael Herman's Blog](http://mherman.org/)
- [Thinkster.io](http://thinkster.io)
- [Thinkster.io](https://web.archive.org/web/20230112105600/https://thinkster.io/)
- [Enlight](https://enlight.nyc/)
- [Hack Club Workshops](https://hackclub.com/workshops/)
- [CodeCrafters](https://codecrafters.io/)