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jsairdrop's Projects

rbook icon rbook

Source files for "Learning Statistics with R"

scattertext icon scattertext

Beautiful visualizations of how language differs among document types.

scripts icon scripts

Conjunto dos mais variados Scritps. PNADC, CAGED, IPCA, etc

statsmodels icon statsmodels

Statsmodels: statistical modeling and econometrics in Python

stock_classification icon stock_classification

Stock classification using different ML techniques - Random Forest, RBF and Linear SVM, Decision Trees (Gini and Entropy). Developed a process to scrape data from Yahoo finance using selenium and BeautifulSoup4. Performed Sentiment analysis using NLTK Vader and TextBlob. Conducted data pre-processing using pandas, sklearn and numpy.

systemanimatoronline icon systemanimatoronline

XR Animator, AI-based Full Body Motion Capture and Extended Reality (XR) solution, powered by System Animator Online

tests-as-linear icon tests-as-linear

Common statistical tests are linear models (or: how to teach stats)

time-series icon time-series

This repository contains Rnotebook files. Load them in www.rnotebook.io

tooljet icon tooljet

Extensible low-code framework for building business applications. Connect to databases, cloud storages, GraphQL, API endpoints, Airtable, etc and build apps using drag and drop application builder. Built using JavaScript/TypeScript. 🚀

tsai icon tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

tsfresh icon tsfresh

Automatic extraction of relevant features from time series:

tsm icon tsm

Time Series Modelling

unsloth icon unsloth

Finetune Llama 3, Mistral & Gemma LLMs 2-5x faster with 80% less memory

wikipedia-article-scraper icon wikipedia-article-scraper

A complete Python text analytics package that allows users to search for a Wikipedia article, scrape it, conduct basic text analytics and integrate it to a data pipeline without writing excessive code.

wikiscraper icon wikiscraper

Easy scraper that extracts data from Wikipedia articles thanks to its URL slug : title, images, summary, sections paragraphs, sidebar info

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