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1. Predictive-Modelling-of-World-News-Headlines-using-Distributed-Computing Predictive-Modelling-of-World-News-Headlines-using-Distributed-Computing Public

   • Applied Sentiment Analysis on World News dataset with half million entries to classify the headlines into Positive and Negative sentiment. • Performed Topic Modelling using Latent Dirichlet Alloc…

   Jupyter Notebook 3 1

2. Identifying-phishing-theme-using-Unsupervised-machine-learning-techniques Identifying-phishing-theme-using-Unsupervised-machine-learning-techniques Public

   Phishing emails are a type of online scam where criminals send an email that appears to be from a legitimate company and ask you to provide sensitive information. This is usually done by including …

   Jupyter Notebook 4 1

3. Sentimental-Analysis-of-Stock-Market-from-News-Headlines- Sentimental-Analysis-of-Stock-Market-from-News-Headlines- Public

   Applied Sentimental Analysis on financial news headlines from “Finviz” using Natural Language Processing techniques to predict whether the market is positively or negatively inclined about a stock.

   Jupyter Notebook 1

4. Recommender-System-Based-on-Food-Reviews Recommender-System-Based-on-Food-Reviews Public

   Building Recommender System for Fine Food data set.

   Jupyter Notebook 3 2

5. Adverse-Reactions-Summarisation Adverse-Reactions-Summarisation Public

   Summarizing the adverse reactions of a drug

   Jupyter Notebook 1 2

6. Bank-Marketing Bank-Marketing Public

   Jupyter Notebook 1 1