SuryanarayanaKrishnan

Recurrent-neural-networks-to-predict-the-stock-price-of-google

here i have used 4 LSTM layers each containing 50 units. 60 timesteps are used i.e. the rnn will factor in the last 60 financial days in order to predict the opening stock price of google. Currently working on increasing the parameters so you can expect updates.

artificial-neural-networks-used-to-predict-customer-retention-in-bank

this is my first project using deep learning. It uses the keras in tensorflow library to build , compile and predict 85% accurate results using artificial neural networks with 2 hidden layers

Cat-Dog-image-recognition-using-convulational-neural-networks-deep-learning-

this project is part of the series of deep learning projects am currently working on. This CNN model can correctly predict with an accuracy of 81% whether the input image is a cat or dog. It uses max pooling along with relu and sigmoid activation functions.

ejs-to-do-list-web-dev

web dev bootcamp project

Exploratory-data-analysis-on-supermarket-sales-dataset

EDA on given dataset. Includes

Restricted-boltzmann-machine-used-to-predict-or-recommend-movies-to-user

In this project training set is converted to torch tensor i.e. list of lists and has users as rows and movies as columns. A total of 100 hidden nodes are taken. The RBM has been implemented using a function and have added a prediction function as well.

Study-project-on-Mifare-based-tap-in-out-system-for-Hostel-mess

Completed under faculty's guidance

Wine-quality-prediction

deals with Exploratory data analysis and machine learning model development for quality prediction based on the given inputs.

BITS-conference-website

made a static website for a college conference as requested by faculty. It still has information left to add which will be added when faculty passes it on

SuryanarayanaKrishnan

readme file fork

API-2.0-CrimeLog

BITS-conference-website-2

So I had to develop another static website for another conference. Since this was developed on a short notice its not my best work but proud of it. Designed by my friend Dhruv Neb and developed by me.

Combining-SOM-and-ANN-to-identify-the-frauds-which-we-identified-using-SOMS

it is a continuation of m previous repository where i found out the fraud customer ids. In this project am combining my ANN with my SOMS to find the exact probability of fraud behavior of each customer.

Kotlin-basics

This repository contains snippets and notes about kotlin basics

machine-learning-templates

movie-recommendation-system-using-auto-encoders-between-1-5

In this project i have implemented a movie recommender system which will recommend the movie rating for a movie by a particular user based on his previous movie ratings between 1-5

OOP-java-bits-pilani

this is the collection of slides and exercises provided by my college for oop

oppia

A free, online learning platform to make quality education accessible for all.

People-counter-app-android

Hi , i am starting android development and this is my first basic counter app using android visual studio in kotlin

Personal-Expense-App

This is a personal expense tracker app built using flutter compatible on both IOS and Android devices along with being responsive for both different sizes and landscape mode. This is part of a course i am learning to master flutter for a university design project.

Quiz-app-flutter-

Self-orgnizing-maps-to-detect-fraudulent-credit-card-applications-

The som learns on its own and determines the outliers. Since the dataset is small the results may vary but over a large dataset they might seem more consistent.

Sorting-Visualizer

Visualization Tool for Sorting Algorithms

Sorting-Visualizer-Tutorial

Tutorial for my original Sorting Visualizer project.