This table provides an overview of each project, including the focus area, a brief description, and a summary of the results achieved. Here's a summary table of the projects included:
| Project Title | Algorithms/Category | Description | Results Summary |
|---|---|---|---|
| AirQuality Project | Time Series Analysis | Analyzes air quality data to forecast pollution levels over time. | Developed a predictive model using both SARIMAX and Prophet with Prophet yielding the best results. |
| Customer Segmentation Project | Clustering | Segments customers based on purchasing behavior using unsupervised learning. | Identified 2 distinct customer segments. |
| Sentiment Analysis Project | Natural Language Processing | Evaluates customer reviews to determine overall sentiment towards the Spotify app. | Achieved an F1 score of 0.734 in the sentiment classification. |
| Wheat Detection Project | Image Classification | Detects wheat heads in images using deep learning techniques. | Developed a model that was able to identify wheat heads. |