Inspired from Online Algorithm course

My first github project.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Implementations of ID3, naive bayes, logistic regression, bagging and adaboosting, along with a handy light-weight evaluation library

A simple project to implement A* algorithm.

Reference implementations of models

This solution ranked 1st in the inclass competition on Kaggle out of 43 teams. The data challenge is a project taken to climax the kernel methods in machine learning course at AMMI-2020, aimed at the implementation of machine learning algorithms to gain understanding and further adapt them to structural data (DNA sequence data). In this report, …

This repository shall contain implementation of algorithms and models in an attempt to understand machine learning better.

Javascript Implementations of Algorithms and Data Structures which can be used in those algorithms

C# implementation of some common data structures and algorithms

I coded a system that can find the Kevin Bacon Number of the given actress/actor. I used the movies database and C programming language to implement this system.

This repository contains all the implementation of Data Structures and Algorithms plus the various different kind of questions with their solutions asked in coding challenges and interviews during placements activities and codefests. I learned all these and practice different questions daily to master DSA.

numerical-computation-algorithms using matlap

An implementation of cuckoo hash table to get amortized searching, insertion and deletion time.

Assignment from the course "Advanced Algorithms" - Finding the height of a tree.

Implementation of the line fitting dynamic programming algorithm (segmented least squares algorithm)

important code snippets in machine learning

Implementation of algorithms in java

Simple Huffman Coding Implementation