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arima

ARIMA Environment

baseline_ml_pollution_concentration_mma

This repository contains files to create a Baseline Machine Learning environment to forecast PM2.5 concentration levels in the Monterrey Metropolitan Area

dl-assignments

ds-stat-inference

Repository for files for Class: IN4027 - Data Science and Statistical Inference

github-slideshow

A robot powered training repository :robot:

github1

Test for udemy course

hdl_project

Hybrid Deep Learning model for Air Quality Forecasting

how_to_lie_with_statistics

A collection of Python exercises that represent the ideas for each chapter in Darrel Huff's "How to lie with statistics".

julia_cvision_v1.8

lightgbm

Repo with necesary code to test LightGBM algorithm

lpa_flask

Flask webapp for "Lights, Prompt, Action!" Project

main_aq

ml_project

Final Project for ML course

n-beats

N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.

named-entity-recognition-bidirectionallstm-cnn-conll

Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"

openai_api_key

Contains a simple environment to set up your own personal OpenAI API token

pyspark_notes

Wenqiang Feng's notes for pySpark using real air quality data. I'm leaving practical and ready to use commands

research-of-particulate-matter-prediction-modeling-based-on-deep-learning

This repository introduces Deep Particulate Matter Network with a Separated Input model based on deep learning by using ConvGRU, which can simultaneously analyze spatiotemporal information to consider the diffusion of particulate matter.

tensorflow-1-public

test_datasets

Repositorio de datasets de prueba

video_editing

Video Editing with moviepy library along with ImageMagick

webscraper

A web scraper for ClimateBase.org using the ChatGPT API

work_stuff