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1. Sensitive-Data-Classification-using-Deep-Learning Sensitive-Data-Classification-using-Deep-Learning Public

   A Machine Learning model that distinguishes between sensitive and non-sensitive data.

   Jupyter Notebook 1

2. Layoff-Analysis-and-Modelling Layoff-Analysis-and-Modelling Public

   Using statistical and computational methods, layoff analysis and modelling in R examines and forecasts the effects of staff layoffs on a company.

   Jupyter Notebook 1

3. Levenshtein-Distance-Finder Levenshtein-Distance-Finder Public

   The Levenshtein distance is a string metric that measures the difference between two words that involves the insertions, deletions, or substitutions required to change one word into the other.

   Python

4. Sentiment-Analysis Sentiment-Analysis Public

   A NLP problem where sentiment analysis is done by classifying the positive tweets from the negative tweets by machine learning models.

   Jupyter Notebook

5. Stock-Data-Analysis Stock-Data-Analysis Public

   Performed Stock Market Analysis.Used Pandas to get stock information and visualize different aspects of the stock based on its previous performance history.

   Jupyter Notebook

6. generative_model_toolbox generative_model_toolbox Public

   Python