Machine Learning Algorithms Using Scikit and TensorFlow Environments

• #1. Classification Models in Machine Learning Techniques
• #2. Machine Learning Algorithm With TensorFlow and SciKit for Next Generation Systems
• #3. Understanding Convolutional Neural Network With TensorFlow: CNN
• #4. A Deep Understanding of Long Short-Term Memory for Solving Vanishing Error Problem: LSTM-VGP
• #5. Coffee Leaf Diseases Classification Using Deep Learning Approach
• #6. COVID-19 Classification With Healthcare Images Based on ML-DL Methods
• #7. Unravelling the Enigma of Machine Learning Model Interpretability in Enhancing Disease Prediction
• #8. Deep Learning for the Intersection of Ethics and Privacy in Healthcare
• #9. Early Detection of Alzheimer's Using Artificial Intelligence for Effective Emotional Support Systems
• #10. Malware Analysis and Classification Using Machine Learning Models
• #11. Improved Breast Cancer Detection in Mammography Images: Integration of Convolutional Neural Network and Local Binary Pattern Approach
• #12. Predicting Depression From Social Media Users by Using Lexicons and Machine Learning Algorithms
• #13. Mental Stress Detection Using Bidirectional Encoder Representations From Transformers
• #14. SCRNN: A Deep Model for Colorectal Cancer Classification From Histological Images - Implementation Using TensorFlow
• #15. SRAM Memory Testing Methods and Analysis: An Approach for Traditional Test Algorithms to ML Models
• #16. Imagining the Sustainable Future With Industry 6.0: A Smarter Pathway for Modern Society and Manufacturing Industries
• #17. Dew Computing: State of the Art, Opportunities, and Research Challenges
• #18. The Future of Artificial Intelligence in Blockchain Applications
• #19. Transformative Effects of ChatGPT on the Modern Era of Education and Society: From Society's and Industry's Perspectives
• #20. Using Ensemble Learning and Random Forest Techniques to Solve Complex Problems

Puvvadi Baby Maruthi received Master of Computer Applications degree from JNTU Ananthapur in 2010, and the Ph.D degree from Sri Padmavati Mahila VisvaVidyalayam, Tirupati, in 2019. She is currently working as an Assistant Professor in Sri Venkateswara College of Engineering, Tirupati. She got gold medal in R programming in NPTEL. Her research interests include soft computing, information security, digital image processing and Machine Learning.

Amit Kumar Tyagi is Assistant Professor (Senior Grade), and Senior Researcher at Vellore Institute of Technology (VIT), Chennai Campus, India. He received his Ph.D. Degree in 2018 from Pondicherry Central University, India. He joined the Lord Krishna College of Engineering, Ghaziabad (LKCE) for the periods of 2009-2010, and 2012-2013.