Customer Segmentation
Skills Covered: Clustering, data visualization.
Description: Utilize K-means clustering to segment customers based on purchasing data. The project emphasizes understanding customer behaviors and the practical application of clustering.

Credit Card Fraud Detection
Skills Covered: Anomaly detection, supervised learning, handling imbalanced datasets.
Description: Develop a model to detect fraudulent transactions using datasets with highly imbalanced classes. This project is crucial for understanding how to manage anomaly detection and work with complex real-world data issues.

Sentiment Analysis
Skills Covered: Natural Language Processing (NLP), logistic regression, data preprocessing.
Description: Analyze customer reviews by classifying sentiments as positive, negative, or neutral. This project uses text processing techniques like tokenization, and vectorization using Bag-of-Words or TF-IDF.