- | Python, NLP, Jupyter Notebook |
- - This project is specifically based on Natural Language Processing.
- - Reviews from IMDb, Yelp and Amazon is used for analysis purpose.
- - Appended and cleaned datasets using TF-IDF for IMDb, Amazon and Yelp reviews. Trained the model and predicted test results. Thereby using NLP for sentiment analysis, achieved predictions.
- | Jupyter Notebook, Visualization |
- It uses Sales Dataset.
- - Executed Extract, Transform, Load (ETL) process on dataset, followed by Exploratory Data Analysis (EDA) process. Analyzed data using visualization, offering valuable insights for enhancing sales.
- | Power BI |
- - This project uses Power BI for analysis.
- - It uses IT Helpdesk Data.
- - Cleaned the data in Power BI and created effective visualization for insights.
- - Achieved data driven insights by integrating dynamic measures with Power BI’s visualizations.