Pinned Repositories
100Days100Projects
Creating 100 Projects in 100 Days Challenge
2013-pycon-awesome-big-data-algorithms
2020-05-react-advanced
2020-06-react-advanced
2021-new-grad
CMU-15213-Lab
Source code and solution to CMU 15-213
filipegoncalves.github.io
My personal blog
InterviewBit-Topicwise-Solutions
The repository contains solutions to various problems on interviewbit. The code is merely a snippet (as solved on InterviewBit) & hence is not executable in a c++ compiler. The code written is purely original and completely my own.
sre-interview-prep-guide
Site Reliability Engineer Interview Preparation Guide
Tech-Interview-Cheat-Sheet
Studying for a tech interview sucks. Here's an open source cheat sheet to help
codeAligned's Repositories
codeAligned/100Days100Projects
Creating 100 Projects in 100 Days Challenge
codeAligned/AirBnb-Challenges
Answering some questions on AirBnB date from San Francisco
codeAligned/AIRBNB-NEW-YORK-DATA-ANALYSIS
Welcome to the Exploratory Analysis of the Airbnb Dataset! In this project, we aim to understand Airbnb rental landscape in New York City through exploratory analysis on the Airbnb dataset. Through static and interactive visualizations, we try to answer the below questions: How do prices of listings vary by location? How does the demand for Airbnb rentals fluctuate across the year and over years? Are the demand and prices of the rentals correlated? What are the different types of properties in NYC? Do they vary by neighborhood? What localities in NYC are rated highly by guests? What makes a host Super host? Do regular hosts and super hosts have different cancellation and booking policies? Are there any common themes that can be identified from the free-text section of the reviews? What aspects of the rental experience do people like and what aspects do they abhor? The data files that have been uploaded are compressed versions since they exceed Github's 100Mb limit. You'll need to extract these files before you run the code.
codeAligned/Airbnb-Prices
Airbnb Prices
codeAligned/AirBnb-Zillow-Price_Prediciton
The objective of this report is to find hidden insights from publicly available data of Airbnb and Zillow and further provide recommendations on which zip code have the highest return ratios within New York City and what are the most significant factors contributing to the revenue. Our goal is to help develop a data product and tailor client’s data strategies, whose part of its business model relies on short term rentals, to the market demand. Data visualization and predictive statistical models would be employed in the report to better answer our business questions.
codeAligned/airbnb_nyc
Using data I've answered 3 questions: i. Can we group airbnb locations based on amenities offered? ii. How price varies across neighborhoods? iii. Does proximity to train-stations affect the price?
codeAligned/Airbnb_Seatle_project
Using airbnb data of Seattle and machine learning model to answer different questions.
codeAligned/algorithms-in-java
My algorithm implementation in Java
codeAligned/cpp_primer_solution
Exercise solution for C++ Primer 5th edition, up to Chapter 16.1
codeAligned/dotfiles
My dotfiles
codeAligned/Dwolla-Weather-Challenge
Demonstration of Open Weather API for Dwolla Technical Challenge
codeAligned/E-commerce-Clothing-NLP
Analyzing a Women's Clothing E-Commerce dataset from Kaggle
codeAligned/exploring_airbnb_with_ML
Exploring 3 research questions using San Francisco, New York, and Austin Airbnb listings data
codeAligned/FitCircle_LeastSquareMethod
codeAligned/fullstack-graphql-airbnb-clone
A Fullstack GraphQL Airbnb Clone with React and React Native
codeAligned/GoogleKickstart
Participating in Google Kick Start coding competitions.
codeAligned/idne
:gem: Codeforces submit command line tool
codeAligned/interview-coding-problems
Popular programming problems previously asked in Online Campus placement Tests
codeAligned/interview-coding-solutions
Solutions to some interview problems that I found
codeAligned/kickstart-5
Solutions to Few Google Kick Start problems
codeAligned/l_unl_l
Random code snippets , most of them half-baked. Learning
codeAligned/Leetcode-11
Leetcode Solutions with Java
codeAligned/Machine-Learning-Projects
This repository includes machine learning projects I've done.
codeAligned/Ninety-Nine-Haskell-Problems
codeAligned/physcomp
ITP Intro to Physical Computing materials
codeAligned/react-passage
Link and Redirect to routes safely in your react applications 🌄
codeAligned/srweb
Archive of legacy Student Robotics git repository 'srweb.git'
codeAligned/srweb-devel
Archive of legacy Student Robotics git repository 'srweb-devel.git'
codeAligned/Topic_Modeling-for-AIRBNB
What to expect as an Airbnb Host in Berlin Airbnb has successfully disrupted the traditional hospitality industry as more and more travelers decide to use Airbnb as their primary accommodation provider. Since its inception in 2008, Airbnb has seen an enormous growth, with the number of rentals listed on its website growing exponentially each year. In Germany, no city is more popular than Berlin. That implies that Berlin is one of the hottest markets for Airbnb in Europe, with over 22,552 listings as of November 2018. With a size of 891 km², this means there are roughly 25 homes being rented out per km² in Berlin on Airbnb! The following question will drive this project: * What do visitors like and dislike?
codeAligned/youtube
codes for my streams and YT videos