shivam-parashar Goto Github PK

address-using-geocoding-api

Geocoding API to get address

build-your-own-x

🤓 Build your own (insert technology here)

coding-interview-university

A complete computer science study plan to become a software engineer.

computer_vision

Some computer vision tutorials for my articles

ear-biometric-using-deep-learning

Implementing a 2D Ear Biometrics system that uses Deep Learning for classification.

findingcabsnearby

Given GPS co-ordinates(in degrees) of a person who needs a cab and co-ordinates of all the cabs in the city stored in a text file in JSON format, the algorithm will find the user-id and name of all the cab drivers available in 50 km range.

graphics_project

Graphics_project

grokking-the-object-oriented-design-interview

handwritten-digit-recognization-using-deep-learning

Handwritten Digit Recognition using Convolutional Neural Networks in Python with Keras.

hello-world

Testing how repository works.

hostel_management

Developed hostel management system, a website efficient to be used in practical scenarios offering a wide range of functionalities like keeping attendance record, student details, important notices etc

isi-kolkata-statwars-2019-challenge

movement-tracking

UP - DOWN - LEFT - RIGHT movement tracking.

nlp-job-classification

A lot of companies post many jobs every day for seeker’s perusal. They tag these jobs such that they could recommend these jobs to the job seekers having similar skills. These tags are primarily entered manually by the recruiters. But in cases where the recruiter is not very enabled with plenty of tags that could hold good with the job, the system would like to make suggestions. So, whenever a recruiter posts a job, our system will recommend to the recruiter to associates appropriate tags with the jobs.

nlp-news-classification

Classifying various news articles into various categories like politics, sports, miscellaneous etc based on their content. So that when a new news content will come then our system will automatically categorize it into one of the fields.

nlp-spam-email-detection

Bayesian spam filtering is a technique based on statistics for e-mail classification. It is in general a naive Bayes classifier to identify spam e-mails.

pdf_x

Developed data extraction software in python that extracts raw data from pdf files and builds a MySQL database and creates CSV files. Implemented various algorithms to increase the accuracy of extraction up to 90%.

quicksplit

I implemented an optimized algorithm which will help groups of people in splitting bills.

stock-predictor

Listens for Stock news on Twitter, performs sentiment analysis by mining information from an online news source, performs supervised predictive modeling and suggests buy or sell decisions of the stock. Computes portfolio returns over time.

svm

Analysis of Support Vector Machines(SVMs) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis. Given a set of training examples, each marked as belonging to one or the other of two categories, an SVM training algorithm builds a model that assigns new examples to one category or the other, making it a non-probabilistic binary linear classifier.

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

text-preprocessing-stackoverflow-data

Text preprocessing StackOverflow Dataset available on kaggle under the name "Transfer Learning on Stack Exchange Tags". The data is scrapped through the website stackoverflow and contains tid, title, content and tags.

tinder

Official June 2018 Documentation for Tinder's API

twitter-bot

Built a bot using Node.js that uses Twitter API and it can automatically tweet, reply, search tweets based on location/Hashtags/keywords, post images etc