Suraj Sharma's repositories
Competitive-Programming
The repository consists of accepted solutions to the problems in competitive programming websites like SPOJ, CSES, UVa Online Judge, Google Kickstart, Google Code-Jam, CodeChef, CodeForces, HackerRank, HackerEarth, etc in C/C++ and Python.
Brain-MRI-Image-Classification-Using-Deep-Learning
Trained a Multi-Layer Perceptron, AlexNet and pre-trained InceptionV3 architectures on NVIDIA GPUs to classify Brain MRI images into meningioma, glioma, pituitary tumor which are cancer classes and those images which are healthy into no tumor class.
COVID-19-Impact-On-Indian-Stock-Market
This repository provides an approach towards data analysis and visualization of financial dataset which is used to gauge the impact of COVID-19 on Indian Stock Market mainly on benchmark indices i.e. NSE NIFTY-50 and S&P BSE SENSEX.
Cholera-Disease-Analysis
The repository shows the data analysis of Cholera disease which is killing people for last two centuries using R programming language.
Object-Detection-Using-TensorFlow
The repository contains the code-base for the project named Object Detection Using Tensorflow and relevant details.
Bit-Twiddling-Hacks-Collection
A single C file with bitwise hacks and a short explanation,
Data-Augmentation-For-Brain-Tumor-Segmentation-Using-MONAI-Framework
This repository consists of the source-code for developing an efficient data augmentation pipeline using MONAI framework for BraTS-2020 dataset
Exploratory-Data-Analysis
This repository consists of all the EDA's which I have performed on some interesting datasets in order to tell the story hidden in the dataset.
Forecasting-India-and-USA-Benchmark-Indices-Using-ARIMA-and-Prophet
This repository provides a novel approach about how can we use the ARIMA time series model and a suite of models provided by Prophet library (open-sourced by Facebook) to forecast financial time series data i.e. S&P BSE SENSEX and S&P-500.
JIRA-REST-Client
The repository contains the code-base for the project named JIRA REST Client Development and the relevant details.