CompSci Weekend SuperThread (December 04, 2020) Computer Science

CompSci Weekend SuperThread (December 04, 2020)
Twitter Sentiment Analysis - Classical Approach VS Deep Learning: A Beginner Friendly Notebook
What was your favourite and least favourite module/class that you took when in college?
A listicle on 8 Best Python Panda Courses & Certifications to take this holiday season
5 Programming Languages to bet on for 2021

CompSci Weekend SuperThread (December 04, 2020)

Posted: 03 Dec 2020 05:05 PM PST

/r/compsci strives to be the best online community for computer scientists. We moderate posts to keep things on topic.

This Weekend SuperThread provides a discussion area for posts that might be off-topic normally. Anything Goes: post your questions, ideas, requests for help, musings, or whatever comes to mind as comments in this thread.

Pointers

If you're looking to answer questions, sort by new comments.
If you're looking for answers, sort by top comment.
Upvote a question you've answered for visibility.
Downvoting is discouraged. Save it for discourteous content only.

Caveats

It's not truly "Anything Goes". Please follow Reddiquette and use common sense.
Homework help questions are discouraged.

submitted by /u/AutoModerator
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Twitter Sentiment Analysis - Classical Approach VS Deep Learning: A Beginner Friendly Notebook

Posted: 04 Dec 2020 05:09 AM PST

You can find this notebook on GitHub or Kaggle.

So I've been working on this project for a very long time now, and I'm finally ready to publish it!

This project started out as a final project for my Data Science course and further evolved while taking the Sequence Models course in the Deep Learning specialization on Coursera.

This notebook is written in an educational style, explaining every step in a beginner friendly manner. I really hope that you'll enjoy going through this notebook and gain not only technical skills but also analytical skills from it. We will discover how to process text in order to infer sentiment from it and try to take advantage of every result, visualization and failure in order to further understand the data and the models.

Throughout this notebook, we will discover the world of Natural Language Processing (NLP) by building a sentiment analysis model. The goal of such a model would be to classify tweets as either having positive or negative sentiment. We will first build a Naïve Bayes model, a classical statistical approach for sentiment classification, and then compare it to a Deep Learning model - LSTM.

Looking forward to hearing your feedbacks! (And earning your upvotes on Kaggle and Github ☺️)

submitted by /u/Thereforeo
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What was your favourite and least favourite module/class that you took when in college?

Posted: 04 Dec 2020 04:27 AM PST

I was just curious to see what people's choices would be as I'm coming to the end of my bachelors. For me, my favourite would be either discrete math or algorithms and my least favourite would have been any database-specific classes.

submitted by /u/paul_the_rock
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A listicle on 8 Best Python Panda Courses & Certifications to take this holiday season

Posted: 04 Dec 2020 05:31 AM PST

submitted by /u/dev2049
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5 Programming Languages to bet on for 2021

Posted: 04 Dec 2020 05:33 AM PST

Would you add anyone else?

https://towardsdatascience.com/top-5-programming-languages-to-bet-on-for-2021-55badb95bfd1

submitted by /u/zlatanmunutd10
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