Dhrumil1808

tech-interview-handbook

💯 Algorithms, front end and behavioral content for rocking your coding interview 🆕 Interview Cheatsheet! 🆕

chatbot

Rule based chat-bot using CNN based on multi class text classification which responds to all queries on Deep Learning class. As a fallback option added generative chat-bot trained on cornell movie dialog corpus using sequence to sequence RNN model.

FoodHub

Food Hub is developed in Spring Boot Framework with Redis Cache implementation for caching the data. The whole application is dockerized in three docker containers and runs through docker-compose.

rollbits

Distributed Messaging Storage System: Uses Consistent hashing for sharding and replication, RAFT for leader election.

Yelp-Data-Mining

Yelp Dataset Challenge : Predicting the user's average rating reading his comments/reviews

ANN-tensorflow

awesome-scalability

The Patterns Behind Scalable, Reliable, and Performant Large-Scale Systems

bisecting-K-means

Calender-Application

chatbot-retrieval

Dual LSTM Encoder for Dialog Response Generation

coding-interview-university

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

deeplearning-models

A collection of various deep learning architectures, models, and tips

distracted-driver-detection

Predicting the likelihood of what the driver is doing in each of the pictures in the dataset.

Dog-Breed-Identification

DropBox

Drug-Activity-Prediction

DSA_Python_and_Java

geeksforgeeks

Illumio

Kayak

ML-DataScience

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

movie-review-classification

reactjs

reactjs-interview-questions

List of top 500 ReactJS Interview Questions & Answers....Coding exercise questions are coming soon!!

resume-latex

sfg-pet-clinic-1

SFT Pet Clinic

Spotify-calendar

spring5webapp

Example Spring 5 Web Application

system-design-primer

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