Ruben Larrazolo (programeralebrije)

programeralebrije

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Location:California

Home Page:rubenlarrazolo.com

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Ruben Larrazolo's starred repositories

coding-interview-university

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

system-design-primer

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

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tech-interview-handbook

đź’Ż Curated coding interview preparation materials for busy software engineers

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free-for-dev

A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

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linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers

mojs

The motion graphics toolbelt for the web

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easy-application

Over 400 software engineering companies that are easy to apply to

tidytuesday

Official repo for the #tidytuesday project

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node-react-ecommerce

Build ECommerce Website Like Amazon By React & Node & MongoDB

amazona

Build Ecommerce Like Amazon By MERN Stack

DS-Student-Resources

Data Science Student Companion Notebooks and Data Lake

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qasong

Open source javascript music streaming web app

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jayvachhani.com

This is my personal website built with React & Material-UI

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Cigarette-Project-

Cigarette Data Analysis

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Creating-and-Accessing-Vectors

As you learned previously, a numerical vector is an ordered collection of numbers. Ordered means that there is a first number, a second number, and so on to the last number. Each number in the vector is called an element. You can create a vector of the following measured heights in centimeters of six people: 171, 192, 183, 177, 154, and 176.

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ggplot2

the plotting package ggplot2.

MachineLearningNYtaxi

Machine Learning Taxi

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ML_US_Accidents

Exploratory data analysis and the use of machine learning algorithms to predict the severity of accidents

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python

python small projects

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Statistics-in-Python

ndependent t test

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Risk-Analytics-model-to-understand-the-claim-propensity-for-a-car-insurance-company

The objective of this project is to build a “Risk Analytics model” to understand the claim propensity of Existing Customers in Personal Auto Insurance company

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