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Hi šŸ‘‹, Myself Rajat Rawat

CS Student at IIT Jodhpur

rajat123456

rajat123456

  • šŸŒ± Iā€™m currently learning JavaScript

  • šŸ‘Øā€šŸ’» All of my projects are available at https://github.com/rajat123456

  • šŸ’¬ Ask me about Java, Data Structures, Algorithms, Relational Database, Operating Systems, Object Oriented Programming, Augmented and Virtual Reality, HTML, CSS

  • šŸ“« How to reach me [email protected]

  • šŸ“„ Hobbies (Playing Table Tennis, Cricket, Making youtube videos)

  • āš” Fun fact The best place in the world to see rainbows is in Hawaii

Connect with me:

https://www.linkedin.com/in/rajat-rawat-805a05143/ classyallrounder classy_allrounder spectromation rajatrawat1997 classyallrounder

Languages and Tools:

cplusplus css3 html5 java mysql oracle python

rajat123456

Ā rajat123456

rajat123456

Rajat Rawat's Projects

aima-pseudocode icon aima-pseudocode

Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

artificial-intelligence-using-java icon artificial-intelligence-using-java

Here, in this project, I step by step do algorithms related to artificial intelligence such as Graphs algorithms, meta-heuristic optimization methods (such as genetic algorithms, swarm intelligence, simulated annealing, Travelling Salesman Problem), search optimization algorithms. And then about the most famous algorithm for gaming related to Artificial Algorithm such as minimax algorithm and at last I will build a Tic-Tac-Toe game using minimax algorithm.

dsa-bridge-assignment-2 icon dsa-bridge-assignment-2

Contains source code implementation of Data Structures & Algorithms Bridge Assignment Questions in Java

dynamic-programming icon dynamic-programming

Java Source Code Implementation of Questions related to Dynamic Programming Paradigm

javacv icon javacv

How to operate OpenCV using Java

machine-learning icon machine-learning

Includes most of the contents related to Machine learning like Numpy, Pandas, Matplotlib, Linear Regression, MultiVariable Regression, Gradient Descent, Feature Scaling, Logistic Regression, Classification Measures, Decision Trees, Random Forests, Naive Bayes, KNN, SVM, PCA, NLP, Neural Networks and various projects on Gradient Descent, Logistic Regression, Decision Tree, Text Classification, etc...

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