A collection of projects in NLP, machine learning and data science
Delve into the realm of Natural Language Processing with our project on Sentiment Analysis of COVID-19 Tweets. This report unveils the insights derived from analyzing 10000 pandemic-related tweets, employing NLP tools, and employing algorithms such as VADER and SVM to discern sentiments and classify public perceptions.
Explore a data-driven journey into predicting and mitigating customer churn with this project on predictive analytics. Leveraging a Random Forest Classifier, discover insights that empower businesses to proactively retain customers and enhance overall satisfaction.
Exploratory Data Analysis (EDA) is a crucial step in the data analysis process, providing valuable insights into the characteristics of a dataset. In this report, we delve into the world of EDA using an Online Retail dataset.
Explore a data-driven journey into predicting and mitigating customer churn with this project on predictive analytics. Leveraging a Random Forest Classifier, discover insights that empower businesses to proactively retain customers and enhance overall satisfaction.
Explore a data-driven journey into predicting and mitigating customer churn with this project on predictive analytics. Leveraging a Random Forest Classifier, discover insights that empower businesses to proactively retain customers and enhance overall satisfaction.