Ían Muliterno's repositories
HorseRace-from-scraping-to-analysis
Webscrapping lesson with BeautifulSoup
Interview_assistant
Interview assistant app. Helps you to get ready for job interviews, practice to be precise and concise
amostra_analise_de_dados
criando mini curso de análise de dados para @amostra na usp 2023
my_global_blog
This project is an extension of my portfolio, that allows me to practice writing as well and share what I've been reading and finding out about technology. you can access the content
churn_analysis
e-commerce retail churn analysis
Crypto-Market-Analysis
Crypto portfolio optimization app
DashnAI_restaurant
A dashboard powered by AI. The goal is to show insights from customer satisfaction analysis and enlight the user about actions to take in order to solve possible issues and/or to increase income
Data_eng_Youtube
Data Engineering YouTube Analysis Project
AI_eng_route
This repository holds exercises from my AI eng Learning road.
bayesian-testing
Bayesian A/B testing
code_solved_exercises
mostly simple challenges to practice python, feel free to fork use as a reference to study
Dashboard-101
Dashboard 101
ig_links
Todos os links que eu recomendo no instagram
LLM-from-scratch
Let's create a LLM model from scratch
NBA
EDA and contribution analysis of Basketball games
qcoder
Lightweight package to do qualitative coding
RegCombin
We implement partially linear regression when the outcome of interest and some of the covariates are observed in two different datasets that cannot be linked, based on D'Haultfoeuille, Gaillac, and Maurel (2022).
Rladies_blog_1
This post is a contribution for Rladies SP blog.
Shiny-agro-area-sampling
Shiny platform whose main objective is to enable the comparison of area sampling techniques for estimating agricultural production, based on open source statistical software.
spCaseOnlyVE
Semiparametric inference for relative heterogeneous vaccine efficacy between strains in observational case-only studies
talk_datascience
my longest talk so far
TidyTuesday
My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2.
tinder_simulator
Having fun with python and simulating a dating app with simple recommendation process
Tinderbot
Automating tinder using python, selenium &chatGPT