Keshav Chaurasia's Projects
This is a paper list about Machine Learning for IDSes
Algo Deck is an Open-Source Collection of +200 Algorithmic Cards to Help you Preparing your Algorithm & Data Structure Interview
Data Structures and algorithms implemented in C++
Anomaly detection related books, papers, videos, and toolboxes
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
Weather fetching through wifi with LCD1602 + Atmega32 + ESP8266
📚 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)
A curated list of machine learning for anomaly detection.
This Repository implements breadth first search using asherliu's graph implementation
A complete computer science study plan to become a software engineer.
Cheat Sheets
Problem Solving with Algorithms and Data Structures using C++ By Brad Miller and David Ranum, Luther College, and Jan Pearce, Berea College
Notes and experiments to understand deep learning concepts
This repository implements all the fundamentals to get started with PyTorch and Deep Learning.
this contains all the solved problems of book data structures and algorithms in python of Michael goodrich
This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.
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.
This is my daily practice of vacabularies from gre magoosh app
LiRen Tu, scale
Contains the solution for the hackerrank problems
IoT intrusion Detection Model based on neural network and random forests
Config files for my GitHub profile.