Sachin Bisht's repositories
Instagram_Stalker_Scraper
(UNMAINTAINED) Fetch data of any public Instagram profile, without using api
Digit-Recognition
Recognize handwritten digits using back-propagation algorithm on MNIST data-set
Json-to-MySQL-convertor
Convert the JSON data to the MySQL Database in the localhost.
8085-Simulator
C++ program to emulate the functionality of 8085
YouTube-Sentiment-Analysis
(UNMAINTAINED)Fetch comments from the given video and determine sentiment towards the video is positive or negative
SQL_QUERY_ANALYSER
Extract SQL Queries from the python file and then smart suggest the indexing for the follwing queries.
Face-Recognition
Training our machine to recognise faces from live video feed using openCv
Sentiment-Analysis-NLTK
Sentiment Analysis / Opinion Mining for provided data in NLTK corpus using NaiveBayesClassifier Algorithm
Web-Scraping
Learning web scraping via Python using XML Path language imported through lxml library. Information scraped from codechef.com
Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.
dynamic-programming
Careful BRUTE FORCE
SIC-Assembler
CPP program for SIC assembler.
Competitive-Algorithms
Collection of newly learnt competitive algorithms.
Competitive-Programming-Repository
Competitive Programming templates that I used during the past few years.
Data-Structures-and-Algorithms
Data Structures and Algorithms
Project-Euler
Solutions of project euler problems solved by me
awesome
😎 Awesome lists about all kinds of interesting topics
awesome-competitive-programming
:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources
bill_management_system
Recurring Bill Management System which create the bill entry and send the reminder every month on particular selected date.
codelibrary
:gem:Collection of algorithms and data structures
public-apis
A collective list of free APIs for use in software and web development.
Sentiment-Analysis-NLTK-1
Opinion mining for provided data from various NLTK corpus to test/enhance the accuracy of the NaiveBayesClassifier model.