gauraviiitian Goto Github PK

codechef_solutions_codes

I will keep uploading solutions of codechef Questions solved by me.

credit-card-fraud-detection

Nowadays Credit Cards are very common everywhere, so it is today's need to make it safe and secure. This project predicts the fraudulent transaction using anomaly detection.

data-communication-with-python

Python Programs for calculating various Type of Modulation and Keying

email-automation-using-python

Want to send a mail to many recipient with slight difference in mail content, you are at right place...

gauraviiitian.github.io

A Website solely made by "ME"

hand-written-digit-recognition-using-k-nearest-neighbour-algorithm

I have trained a model with a given data on handwritten digit recognition which predicts the digits written in an image.

hello-world

Just Getting Started - We can discuss here about our Interests

hobbyboyz

My own Website

honor-store

Just a simple responsive website describing some smartphones of honor

indian-trade-data-analysis-and-forecasting

iot-based-traffic-congestion-and-warning-system

This project investigates about traffic problems in day to day life and provides a solution for handling problems such as Traffic Jams to ensure a better management of traffic with the help of Internet of Things. Used Raspberry pi and coded it with python to make the prototype functional. Also integrated automated email system to inform relevant orginazations if some emergency occurs.

irecgan

Implementation for our paper in NeurIPS 2019

janatahack-demad-forecasting

Predictive Modeling for JanataHack: Demand Forecasting competition on Analytics Vidhya

latent-semantic-analysis

loan-prediction

We have to predict if an applicant will get Loan or not depending upon various features like Gender, Marriage status, Education, Income etc.

machine-learning-template

I have made a template for all those who gets stuck what to apply and where to apply. From Preprocessing Steps to varifying the model's accuracy, Everything has been covered which a new Machine Learning enthusiast would prefer. I have used Melbourne Dataset for determining house prices for given specifications. I have used three Classification Algorithm and Compared them to show which one can be efficient - Decision Tree, Random Forest, XGBoost Regressor. I hope anyone who wants to get started with any kind of Machine Learning Competition on Kaggle can use this as template.

marketvectors

Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)

ocr-using-tesseract

In this repo, I have used pytesseract as OCR engine. I have performed all the possible image preprocessing steps like image binarization, image denoising, image rescaling etc. It's accuracy also depends on image quality. But for most of the images which are Black and White, like reciept, bill etc, it will give almost accurate answer.

opencv

Open Source Computer Vision Library

react-ant-project

social-networks-using-python

It is a collection of analysis of Some real world Graph exapmles of Social Networks.

steganography-project

It will help you get started if you are interested in Steganography. It also includes a presentation file and A code in python implementing LSB method.