78. Apply K-means clustering on a given dataset.
79. Explain feature selection techniques and types.
80. Explain overfitting and underfitting with real-world case study.
81. Explain regression model evaluation with smart car example.
82. Explain clustering applications in the entertainment industry.
83. Explain CNN architecture with diagram.
84. Explain linear regression with example.
85. Explain phases of NLP in detail.
86. Explain role of AI in healthcare in detail.
87. Explain capabilities of Pandas for data manipulation and visualization.
88. Explain deep learning model using image data example.