Projects

Data Analysis Projects

Purpose: This project aims in Data Pocessing, Analysing and Visualizing of Covid data.
Skills: Python: Pandas, Numpy, Scikit-learn, Mathplot
Project link: click here

Purpose: If you’re stuck for movie ideas on a Saturday night, here’s a solution.
Methodology: Data cleaning and analysis. Also created machine learning algorithm (content based filtering) for predictions of similar likeliness of movies.
Skills: Python: Pandas, Numpy, Scikit learn
Project Link click here

Purpose: The purpose of this project is to analyze and visualize the most recurrent word as a Word Cloud
Technologies/Tools: Python: Matplotlib, Pandas, NLTK
Project Link click here

Purpose: To analyze about the survival rate in Titanic and answer various hypothesis.
Skills: Python: Pandas, Numpy, Tableau
Results

Screenshot of Tableau Dashboard Tableau analysis

Title: Skicky Fake News
Abstract: We perform a study on the differential diffusion of fake political and gossip news stories distributed on Twitter as well as opinion mining on the social context of these news pieces. The data comprises FakeNewsNet, a versatile dataset containing fake and true news pieces. We find that fake political stories diffuse farther and significantly faster than fake gossip stories. However, when it comes to the total number of users involved (including followers) fake gossip stories seem to have higher numbers than fake political stories. We also found that the general sentiment of direct Tweets for political news is more negative whereas for gossip news it was neutral. This changed when examining the replies to these Tweets where political news had an overall neutral sentiment, whereas gossip news was related with a more positive sentiment. We interpret this as a possible enjoyment of fake gossip stories. Click Here
Results

Sentiment Analysis