Tweet Analysis using R


I am starting a new project using R and Machine Learning: Tweet Analysis.

In this project, I am using R for extracting the tweets. Then I will be using Machine Learning for the analysis of those extracted tweets.

Most probably, I will be analyzing sentiments of the tweets. That’s what I can think of for now. But hopefully, I will be adding new features to this project.

If you can think of any feature, please do let me know through the comments.

Also, as the project finishes, I will explain the working of the full project in my futute blog post. So, tune in for the detail explanation.

You can always access the code by visiting repository on my GitHub profile here. Feel free to ask anything about the code or related things.

Thank You. Have a nice day!


Learning R

Hello, everyone.

This is a little late post. I have already started learning R.

I first started R learning from DataCamp back in January. I took following courses from DataCamp:

  • Introduction to R
  • Intermediate R
  • Introduction to Machine Learning
  • Machine Learning Toolbox
  • Importing Data in R (part 1)
  • Unsupervised Learning in R

There are other courses which I am currently enrolled in and finish them as soon as I get time.

I started learning R because I want to be a Data Scientist/Machine Learning Engineer. I like Machine Learning a lot.

Meanwhile, I am starting to build small projects related to R or Data Science. I am following some really good websites to help in learning Data Science, Machine Learning using R.

DataCamp is a great website for beginners. But as with everything new, you have to apply what you have learnt. So, my advice is to keep building  or improving something everyday, even very small things.

And if you want to start learning from DataCamp and haven’t signed up yet, follow the link to get 2 Days full Premium Access to all the courses on DataCamp with both R and Python.

If you want to ask me about DataCamp’s courses or the websites I’m following or anything else, please do ask in comment, I would be happy to help.

Have a nice day!