1. Convolutional Neural Network in Computer Vision. 2. Trends and Transition in the Machine Learning (ML) Space. 3. Deep Learning: Algorithms, Platforms, Applications, and Research Trends in IoT. 4. The Next-Generation IoT Use Cases across Industry Verticals using Machine and Deep Learning Algorithms. 5. A Panoramic View of Cyber Attack Detection and Prevention Using Machine Learning and Deep Learning Approaches. 6. Regression Algorithms in Machine Learning. 7. Machine Learning Based Industrial Internet of Things (IIoT) and Its Applications. 8. Employee Turnover Prediction Using Single Voting Model. 9. A Novel Implementation of Sentiment Analysis towards Data Science. 10. Conspectus of K-Means Clustering Algorithm. 11. Systematic Approach to Deal with Internal Fragmentation and Enhancing Memory Space during COVID-19. 12. IoT Automated Spy Drone to Detect and Alert Illegal Drug Plants for Law Enforcement. 13. Expounding K-Means-inspired Network Partitioning Algorithm for SDN Controlle.