| Reddit API for NYC Apartment Posts |
Data Science |
Reddit API, Pandas, SQL |
Analyzing real estate data from Reddit posts to explore apartment listings in NYC using the Reddit API and data analysis techniques with Pandas. |
| Sentiment Analysis on Glassdoor Reviews |
NLP, Data Science |
TextBlob, Pandas, NLP |
Performing sentiment analysis on employee reviews from Glassdoor using NLP and TextBlob, providing insights into company culture and employee sentiment. |
| Mastering Interactive Data Visualizations with Streamlit |
Data Science, Visualization |
Streamlit, Python, Pandas |
Building interactive data visualizations using Streamlit, allowing for dynamic exploration of datasets and insights. |
| RoBERTa Model for Reddit Posts Sentiment Analysis |
NLP, Machine Learning |
RoBERTa, Transformers, PyTorch, Hugging Face |
Fine-tuning the RoBERTa transformer model to perform sentiment classification on Reddit posts, categorizing content into positive, negative, or neutral. |
| Predicting Movie Genres using Machine Learning |
Machine Learning |
Scikit-learn, Python, Pandas, ML Models |
Using machine learning models to predict movie genres based on textual descriptions, applying techniques like feature extraction and classification algorithms. |
| Ensemble Models for Price Forecasting |
Machine Learning |
XGBoost, Scikit-learn, Python, Pandas |
Building ensemble machine learning models to predict price trends from historical data, improving forecasting accuracy with techniques like XGBoost. |
| BART Text Summarization |
NLP, Machine Learning |
BART, Transformers, PyTorch, Hugging Face |
Implementing BART for text summarization tasks, fine-tuning it to generate concise summaries of long-form text, showcasing applications in content extraction and document understanding. |