There have been a lot of news about increased unemployment in the US due to the pandemic (i.e. covid 19) lately. So I decided to scrape some data from a couple of recently published reports on the websit of Bureau of Labor Statistics and do a quick exploratory data analysis. This short writeup outlines my finidings.
I recently completed a project where I used NLP to predict characters of my favorite TV show Friends. I felt that some of the learnings from the project should be put together to highlight how simple feature engineering can help to take a simplified approach for ML modeling while improving the accuracy in multiclass text classification.
Book reading apps like Goodreads has personally helped me to find books I couldn’t put away and thus getting back to the habit of reading regularly again. In this project, I developed a collaborative filterning based book recommendation model using goodreads dataset that can suggest readers what books to read next.