“Research is something that everyone can do, and everyone ought to do. It is simply collecting information and thinking systematically about it.” - Raewyn Connell
On Going Project (Collaboration with USERC)
“Development of Device for Emergency Assistance to Vehicles in remote areas of Uttarakhand using IRNSS-NAVIC”
The Uttarakhand Science Education and Research Centre (USERC) has initiated a Collaboration project titled "Development of Device for Emergency Assistance to Vehicles in Remote Areas of Uttarakhand using IRNSS-NAVIC." This project, set for a duration of one year, aims to enhance vehicle safety and emergency response capabilities in the remote and challenging terrains of Uttarakhand.
Objectives:
- Develop a Device: Create a robust and reliable device that uses IRNSS-NAVIC for navigation and emergency assistance.
- Enhance Vehicle Safety: Ensure that vehicles in remote areas can send distress signals and receive timely assistance.
- Improve Connectivity: Facilitate better communication and navigation in the challenging terrains of Uttarakhand.
Data Science Mastery: A Comprehensive Handbook of Technique
"Data Science Mastery: A Comprehensive Handbook of Techniques" by Dr. Sanjeev Kumar is a detailed guide aimed at providing an extensive overview of techniques and practices within the field of data science. ISBN: 978-81-956266-0-1
Machine Learning In Data Science
"Machine Learning in Data Science" by Dr. Ajeet Kumar and Dr. Sanjeev Kumar is a comprehensive guide focusing on the integration and application of machine learning the techniques within the field of data science.
ISBN: 9789361328992
https://www.flipkart.com/product/p/itme?pid=9789361328992
https://www.amazon.in/dp/B0D8TXK3DD?ref=myi_title_dp
Key Features
- Foundational Concepts: Introduction to fundamental concepts of both data science and machine learning, ensuring a solid understanding for readers new to the field.
- Machine Learning Algorithms: Detailed explanations of various machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
- Practical Applications: Emphasis on the practical application of machine learning techniques to real-world data science problems, with examples and case studies.
- Tools and Frameworks: Guidance on using popular machine learning tools and frameworks such as TensorFlow, Keras, Scikit-learn, and PyTorch.
Scopus Papers
Research Papers
.jpg/:/rs=w:370,cg:true,m)
