• Welcome to Dr.T.Bhaskar Learning Portal.

    Truth is beyond words ('mouna'),.. In the silence - beyond thought "silence is the true teaching. ... It is the perfect teaching. It is suited only for the most advanced seeker.  The others are unable to draw full inspiration from it. Therefore they require words to explain the truth. But truth is beyond words. It does not admit of explanations. All that is possible to do is to indicate it." so the silence (without any thoughts) is Truth, Bliss & Peace. Correcting of oneself is Enough. Transforming oneself is a means of giving light.

    Courses Contents :Machine Learning,Data mining & Warehousing,Capsule Courses:Data Science Etc. 

    Thanks & Regards,

    Dr.Thupakula Bhaskar
    Associate Professor(Computer Engg)
    Sanjivani College of Engineering
    Kopargaon,Maharashtra,India    .
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Available courses

Fundamentals of IoT (MDCO223)

The Fundamentals of IoT course provides essential knowledge of how interconnected devices, networks, and data systems work together, laying the foundation for further learning in the field. It covers critical aspects like device communication, security, and data management, making it crucial for anyone pursuing a career in IoT. With the rapid growth of IoT across industries such as healthcare, manufacturing, smart homes, and transportation, this course opens up diverse career opportunities, including roles as IoT developers, network engineers, data analysts, and security specialists, offering a strong foundation for success in the expanding IoT sector.

Course Teacher: Dr.T. Bhaskar, Associate Professor, Computer Engineering Dept.

Machine Learning (CO402)

Importance of Machine Learning  in view of Industry and Society need

Here are some considerable reasons to learn Machine Learning:

  • A comprehensive knowledge of Machine Learning in combination with Machine Learning algorithms is the core foundation of writing good codes in Data science/ AI Domain. It will make understand better about Emerging fields Like Data Science /ML/DL , which is the ultimate goal of organizations.
  • To perform  well as the developers/System Admins/Data  Engineers/Data Scientists  of big MNCs like Amazon, Google, Facebook ,Twitter etc   one need to improve their problem-solving abilities by mastering Machine Learning.
  • Learning Machine Learning is also beneficial for a better understanding of Data Science / Machine Learning Algorithms.The One who is competent in Machine Learning can easily perform the tasks related to data processing, Model Buildings or computing. 

The importance of Machine Learning will remain persistence for the functioning of emerging technologies like industry 4.0 & its associated fields like Data Science, Deep Learning etc, navigating what they do & how they will work.

Course Teacher: Dr.T. Bhaskar, Associate Professor, Computer Engineering Dept.

Data Mining and Warehousing

Data mining is study of algorithms for finding patterns in large data sets. It is an integral part of modern industry, where data from its operations and customers are mined for gaining business insight. It is also important in modern scientific endeavors. Data mining is an interdisciplinary topic involving, databases, machine learning and algorithms. The course will cover the fundamentals of data mining. It will explain the basic algorithms like data preprocessing, association rules, classification, clustering, sequence mining and visualization. It will also explain implementations in open source software. 

Course Teacher: Dr.T. Bhaskar, Associate Professor, Computer Engineering Dept.

Data Science with Python

About Capsule Course: The Course will help to disseminate the knowledge in the domain of data science and Machine learning. It empowers the learners to understand how data science can be used to innovate and improve the business process. The learners will be trained with hands-on approach in order to have an in-depth insight into the domain of Data Sciences and expose them to Feasibility & future scope.

Resourse Person: Dr.T. Bhaskar, Associate Professor, Computer Engineering Dept.


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