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Professional Certificate in Machine Learning for Air Quality Analysis

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์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Air Quality Monitoring and Data Sources
  • Fundamentals of Machine Learning for Environmental Applications
  • Data Preprocessing and Feature Engineering for Air Quality Data
  • Regression Models for Air Quality Prediction (Linear Regression, Support Vector Regression)
  • Classification Models for Air Quality Assessment (Decision Trees, Random Forest)
  • Time Series Analysis for Air Quality Forecasting
  • Deep Learning for Air Quality Modeling (Recurrent Neural Networks, Convolutional Neural Networks)
  • Air Quality Index (AQI) Prediction and Mapping
  • Model Evaluation and Performance Metrics
  • Case Studies in Air Quality Machine Learning

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description Air Quality Data Scientist (Machine Learning, Air Quality) Develops and implements machine learning models for air quality prediction and analysis, contributing to environmental monitoring and policy.

Environmental Consultant (Machine Learning) (Air Quality, Data Analysis) Uses machine learning techniques to analyze air quality data, advising clients on environmental regulations and mitigation strategies.

Air Quality Analyst (Data Science) (Machine Learning, Air Pollution) Analyzes air quality data sets using machine learning and statistical methods to identify trends and patterns.

Machine Learning Engineer (Environmental) (Air Quality Modelling, Python) Designs, develops, and deploys machine learning systems for air quality monitoring and forecasting applications.

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์ด ๊ณผ์ •์˜ ๋น„์šฉ์„ ์ง€๋ถˆํ•˜๊ธฐ ์œ„ํ•ด ํšŒ์‚ฌ๋ฅผ ์œ„ํ•œ ์ฒญ๊ตฌ์„œ๋ฅผ ์š”์ฒญํ•˜์„ธ์š”.

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๊ฒฝ๋ ฅ ์ธ์ฆ์„œ ํš๋“

์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
PROFESSIONAL CERTIFICATE IN MACHINE LEARNING FOR AIR QUALITY ANALYSIS
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of International Business (LSIB)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
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