keshavchaurasia Goto Github PK

ai_security

This is a paper list about Machine Learning for IDSes

algodeck

Algo Deck is an Open-Source Collection of +200 Algorithmic Cards to Help you Preparing your Algorithm & Data Structure Interview

algorithms

Data Structures and algorithms implemented in C++

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

artificial-intelligence

Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools

avr-weather-esp8266

Weather fetching through wifi with LCD1602 + Atmega32 + ESP8266

awesome-algorithm-books

📚 awesome algorithm books I've collected 【不定期更新中】 搜集整理的算法书籍（经典算法、ML/DL算法、面试算法、比赛算法等）

awesome-ml-for-anomaly-detection

A curated list of machine learning for anomaly detection.

bfs-graph

This Repository implements breadth first search using asherliu's graph implementation

books

coding-interview-university

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

coursera-algorithm-specialization

credit-card-fraud-detection

daen-690-insider-threat

data-science--cheat-sheet

Cheat Sheets

data-structures-and-algorithms-in-cpp

Problem Solving with Algorithms and Data Structures using C++ By Brad Miller and David Ranum, Luther College, and Jan Pearce, Berea College

deep-learning-experiments

Notes and experiments to understand deep learning concepts

deep-learning-with-pytorch

This repository implements all the fundamentals to get started with PyTorch and Deep Learning.

dsa-in-python

this contains all the solved problems of book data structures and algorithms in python of Michael goodrich

dsa_blog

educate-resource-for-machine-learning

This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.

finding-movie-similarity-from-plot-summaries

We all love watching movies! There are some movies we like, some we don't. Most people have a preference for movies of a similar genre. Some of us love watching action movies, while some of us like watching horror. Some of us like watching movies that have ninjas in them, while some of us like watching superheroes. Movies within a genre often share common base parameters. Consider the following two movies: 2001: A Space Odyssey Close Encounters of the Third Kind Both movies, 2001: A Space Odyssey and Close Encounters of the Third Kind, are movies based on aliens coming to Earth. I've seen both, and they indeed share many similarities. We could conclude that both of these fall into the same genre of movies based on intuition, but that's no fun in a data science context. In this notebook, we will quantify the similarity of movies based on their plot summaries available on IMDb and Wikipedia, then separate them into groups, also known as clusters. We'll create a dendrogram to represent how closely the movies are related to each other. Let's start by importing the dataset and observing the data provided.

gre-magoosh

This is my daily practice of vacabularies from gre magoosh app

grokking-system-design

LiRen Tu, scale

hackerrank-solution

Contains the solution for the hackerrank problems

hands-on-machine-learning

ids-unsw-nb15

IoT intrusion Detection Model based on neural network and random forests

keshavchaurasia

Config files for my GitHub profile.

keshavchaurasia.github.io

leetcode