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ankitsigroha

Config files for my GitHub profile.

awesome-os

A list of operating systems and stuff

awesome-sre

A curated list of Site Reliability and Production Engineering resources.

back-end-developer-interview-questions

A list of back-end related questions you can be inspired from to interview potential candidates, test yourself or completely ignore

big_data_analysis_and_visualization

coding-interview-university

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

data_collection_and_eda

Data Collection through API consumption of Twitter and NY Times and Exploratory Data Analysis of the same data that involves replicating professional data analysis on a topic, and extending the data exploration to include another public data source.

design-patterns

:briefcase: Design patterns written in different programming languages :triangular_ruler:

ethereum_blockchain

A project on exploring the blockchain on Center for Computational Research (CCR) by testing decentralized application deployed and also by designing and deploying applications on the blockchain. This also focuses on the application development process on a blockchain and how to interact with an application deployed on a blockchain thus generating transactions and understanding the structure and operational details of a blockchain i.e transaction, block and the chain of blockchain.

generative_models

The regeneration of the MNIST images dataset using Keras and TensorFlow library.

git

Git Source Code Mirror - This is a publish-only repository and all pull requests are ignored. Please follow Documentation/SubmittingPatches procedure for any of your improvements.

how-to-prepare-for-google-interview-swe-sre

This repository includes resources which are more than sufficient to prepare for google interview if you are applying for a software engineer position or a site reliability engineer position

kubernetes

Production-Grade Container Scheduling and Management

leetcode-patterns

A curated list of 160+ leetcode questions grouped by their common patterns

linear-data-structues

linear_models_for_supervised_learning

An implementation of Machine Learning linear models to compare the accuracy of Kernel Method, Linear Regression, Logistic Regression and Support Vector Machine on the test and training data.

linux

Linux kernel source tree

neural_network_classification_on_mnist_data

Implemented a Multilayer Perceptron Neural Network and assessed its performance in classifying MNIST data of handwritten digits. Also used the same network to analyze a more challenging Google's AI Quick Draw hand-drawn images dataset and compared the performance of the neural network against a deep neural network using the TensorFlow library.

neural_networks_with_hidden_layers

Implementation of Neural Networks with different hidden layers on a dataset.

pub_sub_distributed_system

A centralized Pub/Sub distributed application using Docker containers which is capable of managing publishers, subscribers and notifications of subscribed events in real-time.

soft-eng-interview-prep

Everything you need to know for a Software Engineering interview

sre-interview-prep-guide

Site Reliability Engineer Interview Preparation Guide

system-design-primer

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

ubmlcourse

Collection of iPython notebooks for UB CSE Machine Learning course (CSE 474/574)