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Machine Learning with Python

Dr. Jyoti Parashar

Dr. Jyoti Parashar is currently working as an Assistant Professor in the Department of Computer Science Dept. at Bharati Vidyapeeth’s College affiliated by Guru Gobind Singh Indraprastha University (GGSIPU), Delhi, India. With a strong academic background and expertise in computer science, she plays a pivotal role in shaping the knowledge and skills of engineering students.in the Delhi. She has done her Ph.D. in Computer Science from Maharishi Markedeshwar University, Ambala, Haryana with A++ Grade in India. She has research and teaching experience of more than 10 years. Her research interests span various domains, including artificial intelligence, data science, and emerging technologies in computing. Through her dedication to teaching and research, she actively contributes to the academic community by mentoring students, publishing research papers, and participating in conferences and workshops. Dr. Parashar is committed to fostering innovation and technological advancements, ensuring that students gain a strong theoretical foundation along with practical exposure to industry-relevant technologies. Her engagement in interdisciplinary research and collaboration with academia and industry further enhances the learning experience of students, preparing them for future challenges in the ever-evolving field of computer science. As an educator, she emphasizes critical thinking, problem-solving, and hands-on learning, encouraging students to develop innovative solutions to real-world problems. Through her contributions to academia and research, Dr. Jyoti Parashar continues to inspire the next generation of engineers and researchers in the field of computer science and engineering.

Mr. Naved Ahmad

Mr. Naved Ahmad is a dedicated academician and researcher in the domain of Computer Science, with a focus on Artificial Intelligence, Machine Learning, Image Processing, and Healthcare Technologies. Currently pursuing his Ph.D., he brings a dynamic blend of academic rigor and practical insight to his professional endeavors. In his role as Assistant Professor at IILM University, Gurugram, Mr. Ahmad plays a pivotal part in shaping the academic landscape by teaching both foundational and advanced courses. His pedagogy is characterized by its emphasis on real-world relevance and integration of cutting-edge research. Mr. Ahmad’s research contributions are particularly noteworthy in the healthcare sector, where he utilizes AI and ML to tackle pressing challenges such as early diagnosis, predictive modeling, and the development of healthcare systems. His scholarly work includes Scopus-indexed journal articles and peer-reviewed book chapters, underscoring both academic quality and impact. He is actively involved in collaborative research and innovation projects, aimed at creating socially impactful technological solutions. Mr. Ahmad is also associated with other reputed institutions, including the Lloyd Institute of Engineering and Technology, contributing to academic development and research-driven initiatives. with a strong commitment to research, educational excellence, and innovation, Mr. Naved Ahmad continues to influence and advance the fields of Artificial Intelligence and Machine Learning.Mr. Naved Ahmad is a dedicated academician and researcher in the domain of Computer Science, with a focus on Artificial Intelligence, Machine Learning, Image Processing, and Healthcare Technologies. Currently pursuing his Ph.D., he brings a dynamic blend of academic rigor and practical insight to his professional endeavors. In his role as Assistant Professor at IILM University, Gurugram, Mr. Ahmad plays a pivotal part in shaping the academic landscape by teaching both foundational and advanced courses. His pedagogy is characterized by its emphasis on real-world relevance and integration of cutting-edge research. Mr. Ahmad’s research contributions are particularly noteworthy in the healthcare sector, where he utilizes AI and ML to tackle pressing challenges such as early diagnosis, predictive modeling, and the development of healthcare systems. His scholarly work includes Scopus-indexed journal articles and peer-reviewed book chapters, underscoring both academic quality and impact. He is actively involved in collaborative research and innovation projects, aimed at creating socially impactful technological solutions. Mr. Ahmad is also associated with other reputed institutions, including the Lloyd Institute of Engineering and Technology, contributing to academic development and research-driven initiatives. with a strong commitment to research, educational excellence, and innovation, Mr. Naved Ahmad continues to influence and advance the fields of Artificial Intelligence and Machine Learning.

Ms. Shweta Gupta

Ms. Shweta Gupta is currently working as an Assistant Professor in the Department of Computer Science and Engineering, Bhagwan Parshuram Institute of Technology college affiliated with Guru Gobind Singh Indraprastha University (GGSIPU), Delhi, India. With a strong academic background and expertise in computer science, she plays a pivotal role in shaping the knowledge and skills of engineering students in the Delhi. She has done her MTech in Computer Science from University Institute of Engineering and Technology, Maharshi Dayanand University, Rohtak, Haryana with A+ Grade in India. She has research and teaching experience of more than 2 years. Her research interests span various domains, including artificial intelligence, data science and Networking. Through her dedication to teaching and research, she actively contributes to the academic community by mentoring students, publishing research papers, and participating in conferences and workshops. Her engagement in interdisciplinary research and collaboration with academia and industry further enhances the learning experience of students, preparing them for future challenges in the ever-evolving field of computer science. As an educator, she emphasizes critical thinking, problem-solving, and hands-on learning, encouraging students to develop innovative solutions to real-world problems. Through her contributions to academia and research, Ms. Shweta Gupta continues to inspire the next generation of engineers and researchers in the field of computer science and engineering.

 

Description

Machine learning with Python has revolutionized the field of data science, providing a powerful, flexible, and accessible toolkit for creating models that learn from data and make predictions or decisions without being explicitly programmed. Python, with its simplicity and vast ecosystem of libraries, such as Scikit-learn, TensorFlow, Keras, and PyTorch, has become the go-to language for both beginners and experts in the machine learning domain. These libraries offer extensive support for tasks like data preprocessing, model building, evaluation, and optimization. Machine learning algorithms ranging from supervised learning methods such as regression and classification to unsupervised techniques like clustering and dimensionality reduction can be easily implemented and customized in Python to solve real-world problems across various industries, including healthcare, finance, marketing, and autonomous systems. Python’s integration with libraries like Pandas and NumPy also enables efficient handling of large datasets, while Matplotlib and Seaborn facilitate comprehensive data visualization for better insights. With the growing popularity of deep learning and neural networks, Python’s role in machine learning continues to expand, driving innovations in areas such as natural language processing (NLP), computer vision, and predictive analytics. Additionally, Python’s open-source nature and large community support make it an ideal platform for learning, experimenting, and deploying machine learning models, bridging the gap between research and practical applications. As machine learning continues to evolve, Python remains at the forefront, empowering researchers, developers, and data scientists to create intelligent systems and solve complex problems through data-driven solutions

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