Prajwal Benedict A

I am a Writer

Prajwal Benedict A

Student at The National Institute of Engineering, Mysore
I am outgoing, dedicated, and open-minded. I get across to people and adjust to changes with ease. I believe that a person should work on developing their professional skills and learning new things all the time.
Currently, I am Chief Marketing Manager at International Ascendants of Model United Nations

  • Ramakrishna Nagar, Mysore, Karnataka, India
  • +91-8088546585
  • benedict.prajwal@gmail.com
  • www.benzbloz.blogspot.com
Me Me

My Education

High School Education: Christ Public School (10 CGPA) PU: Deeksha Institute, Mysore
Degree: (ISE) The National Institute of Engineering, Mysore (persuing)
Desire to become a successful person and enthusiastically interested in utilizing my analytical and professional skills for worth conception in line with the development of the organization:)

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  • IIT PREMIUM COURSES

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    Free Online Courses | IIT Madras free courses | IIT KANPUR Free certification Courses | IIT DELHI FREE COURSE | Free access to all students | Aicte Free Courses | nptel free online certification courses | advanced engineering Free courses | Learn Free Python Courses | AICTE approved FDP course | Free Computer Science Engineering Students Online Courses | Nptel Free Courses for Students | Free Swayam Online Courses 

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    Indian Institute of Technology, IIT Kanpur is offering two new free online courses on data science. This time they have offered it on SWAYAM NPTEL platform, which is a two-part course, as below:


    Essentials of Data Science With R Software – 1: Probability and Statistical Inference

    Essentials of Data Science With R Software – 2: Sampling Theory and Linear Regression Analysis

    Click here for details of the first part.

    https://onlinecourses.nptel.ac.in/noc21_ma35/preview

    Click here for details of the second part.

    https://onlinecourses.nptel.ac.in/noc21_ma36/preview


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    IIT Madras and NPTEL also invite applications for Free Online Course on Basic Machine Learning.


    The course introduces the basic concepts of machine learning from a mathematically well-motivated perspective. It will also cover the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms.


    The objective of this IIT Madras Machine Learning course is to prepare a student to take a variety of focused, advanced courses in various subfields of Programming.


    Enrol in the course here.

    https://onlinecourses.nptel.ac.in/noc21_cs24/preview


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    IIT Delhi is offering a free online course on introduction to artificial intelligence on the SWAYAM NPTEL platform for the benefit of undergraduate students.


    Participants who enroll for this course will get an understanding of the following topics: Introduction to hilosophy of AI, definitions, modeling a problem as search problem, uninformed search, heuristic search, domain relaxations, local search, genetic algorithms, adversarial search, constraint satisfaction, propositional logic and satisfiability, uncertainty in AI, Bayesian networks, Bayesian networks learning and inference, decision theory, Markov decision processes, reinforcement learning, and introduction to deep learning and deep RL.


    The course, can be especially beneficial for undergraduate students in computer science with a fair knowledge of data structures and probability.


    Certificates will be rewarded based on the participant’s performance in exam, as well as their average assignment score.


    To enroll for the courses, click here.

    https://onlinecourses.nptel.ac.in/noc21_cs42/preview


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    IIT Roorkee is offering a free online course on Data Analytics with Python for management, industrial engineering and computer science engineering students.



    The course, is most suited for management, industrial engineering and computer science engineering students.


    The course, which is 12 weeks long and will be conducted from 18 January to 9 April 2021, will cover the following 12 modules: Introduction to data analytics and Python fundamentals, Introduction to probability, Sampling and sampling distributions, Hypothesis testing, Two sample testing and introduction to ANOVA, Two way ANOVA and linear regression, Linear regression and multiple regression, Concepts of MLE and Logistic regression, ROC and Regression Analysis Model Building, X2 Test and introduction to cluster analysis, Clustering analysis, and Classification and Regression Trees (CART).


    Interested can enroll for the course here.

    https://onlinecourses.nptel.ac.in/noc21_cs45/preview


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