Anurag Prasad's Projects
This reporsitory is created to pull kobo form data using their api to google spreadsheet. It uses json data format while pulling te data while using kobo api.
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
Simple app that scrapes web content.
This code is used to automatically download the DAY wise data (Bhavcopy from NSE Website ) from 2016 onwards as a csv file.
A tool to download historical quotes from NSE india, store quotes in a database and provide the data as pandas dataframe.
Scrape and parse data from detail page of OLX
Open Source Computer Vision Library
Learn how to train your own OpenCV Haar classifier
This repository is consist of the scheduling algorithms that we are dealing in that subject which sometimes helps to solve problems in an easy way.The codes are written by own.
Parses HTML to JSON.
Visual scraping for Scrapy
This is a submission for the "Predicting Stock Prices challenge" by @Sirajology on Youtube. [runner-up]
Slackbot to Monitor Web Page Changes
This repository is created by me while completing the course "Intro to Programming
Parse SEC EDGAR HTML documents into a tree of elements that correspond to the visual (semantic) structure of the document.
Socio-Economic Caste Census 2011
This is the latest working code of the sign language recognition system which enables us to recognise the symbols as characters easily as we have done researched over the algorithms to try to get the best results in a simple and best way.We have used python 2.7 with OpenCV 3.0 Library.
Jquery Ajax upload without Form
Implemented a system that analyses previous stock data of various companies, processes Time-Series data and aims to forecast the trends of stock in near future. Prediction is done using Supervised Learning Methods.
Used Mapreduce on a Hadoop environment at CCR(University at Buffalo) to compute the monthly volatility of about 3000 stocks with each having data of about three years .There were a total of 40000 files.
Following repo is the solution to Stock Market Prediction using Neural Networks and Sentiment Analysis
Python wrapper for TA-Lib (http://ta-lib.org/).
Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.
A javascript technical indicators written in typescript with pattern recognition right in the browser