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acm-icpc-algorithms

Algorithms used in Competitive Programming

altitude-prediction-using-regression-models

Altitude of a place is predicted from its latitude and longitude using regression models with regularization.

array_operation

bootcamp

brivago

hotel booking app

cms

Course Management System, BITS Pilani, Hyderabad Campus

competitive-coding

confidence-interval

This python code can be used to find confidence interval of a dataset.

depiction-of-frequentist-and-bayesian-approaches-of-machine-learning

It depicts the difference between Frequentist and Bayesian approaches of Machine Learning by analyzing the output probabilities from both approaches.

first-contributions

🚀✨ Help beginners to contribute to open source projects

fischer-discriminant

This project aims to do a Linear Discriminant Analysis using Fischer Discriminant. The dimensions of the dataset is reduced to 2 dimensions and then a fischer classifier is built to discriminate between positive and negative classes.

flutter

graph-and-trees

Best Repository to learn graph and trees

i_am_rich-

icoder-blogging-website

iCoder is a blogging website where you can post and read about tech related things

image-segementation--unet

To segment images based on UNET Architecture

imagesegmentation_ai

mobile-phone---like-dislike-predictor

A Mobile Phone Like Dislike Predictor made by Deep Learning models such as MP Neuron and Perceptron.

movie-recommender-systems

This repository contains 4 different recommender systems for movies based on user ratings.

neural-networks

Neural Networks for House Price dataset is trained and experimented with different layers(2, 3 layers) and different weight initializations like Gaussian, Uniform etc. Also, different epochs , learning rate, and neurons in different layers were also experimented with. The accuracy and other evaluation parameters like F-score, precision and recall were recorded for all those experiments . The best accuracy obtained was around ~87%.

number-theory-algorithms

Some common algorithms related to number theory

pearson-correlation

Implemented Pearson Correlation from scratch to find the correlated features in the datasets.

rainfall-pattern-analysis-and-prediction

Researched on the official dataset consisting of the rainfall pattern of India from 1901 to 2017 released by the Indian Government and applied various data mining techniques for its analysis and prediction.

reliable-udp-protocol--rudp

This is an application layer reliable protocol over UDP for a P2P setup. Handled various situations like packet loss, packet corruption, packet delay, and packet reordering and implemented features like congestion window and Selective Repeat.

sentiment-analysis

Sentiment Analysis is done using the Naive Bayes Classifier. Here, every sentence contains either a positive sentiment represented by 1 or a negative sentiment represented by 0. Now, for a test sentence probability of it occuring in both the classes is calculated using Bayes Theorem. The class which gives maximum probability will be the predicted sentiment for that corresponding sentence. Laplace Smoothing is also applied here to account for a zero probability.

shopify-mean-stack

shopify-mean-stack-

Shopify

traffic-sign-recognition

Traffic Signs Detection and Recognition with Keras

vedant781999.github.io

My Portfolio

webkriti