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Advanced Machine Learning Course

Advanced Machine Learning Course
from 4 to 360h flexible workload
certificate recognized by MEC

What will I learn?

Improve your Business Intelligence skills through our Advanced Machine Learning Course. Deeply explore data investigation techniques, master predictive analysis, and learn to interpret model outputs in a meaningful way. Gain expertise in time series forecasting using ARIMA, Prophet, and LSTM models. Strengthen your abilities in model training, evaluation, and fine-tuning of parameters. This course delivers practical, high-quality content created to equip you with the tools needed to make impactful, data-driven decisions. (ክእለትካ ኣብ Business Intelligence ብትምህርቲ Advanced Machine Learning ኣዕብዮ። መርመራ ዳታ ብጥልቂ ተምሃር፣ ትንበያ ዳታ ብጽፉፍ ተቐጻጸር፣ ከምኡ'ውን ትርጉም ሞዴላት ብግቡእ ተረድኣ። ብዛዕባ ግዜ ዝተመርኮሰ ትንበያ (Time series forecasting) ከም ARIMA, Prophet, ከምኡ'ውን LSTM ሞዴላት ክእለት ኣጥሪ። ኣብ ስልጠና ሞዴል፣ ገምጋምን ምምሕያሽን ክእለትካ ኣደልድል። እዚ ኮርስ’ዚ ንውሳነታት ብዝተማልአ ዳታ ንምውሳን ዘኽእለካ ዓቕሚ ንምዕባይ ዝሕግዝ ግብራዊን ጥዑምን ትምህርቲ ዝሓዘ እዩ።)

Elevify advantages

Develop skills

  • Master data exploration: Reveal insights using EDA and visualization tools. (ብ EDAን መሳርሒታት ምስላ (visualization tools) ብምጥቃም፡ ምስትውዓል ዳታ ምግላጽ።)
  • Predictive analysis skills: Interpret and report model predictions effectively. (ክእለት ትንበያ ዳታ፡ ትንበያ ሞዴል ብግቡእ ምትርጓምን ሪፖርት ምግባርን።)
  • Time series expertise: Learn ARIMA, Prophet, and LSTM models for forecasting. (ክእለት ግዜ ዝተመርኮሰ ዳታ፡ ARIMA, Prophet, ከምኡ'ውን LSTM ሞዴላት ንትንበያ ዳታ ምልምማድ።)
  • Model evaluation techniques: Apply cross-validation and performance metrics. (ቴክኒክ ገምጋም ሞዴል፡ መስቀላዊ ምርግጋጽን (cross-validation) መለክዒ ኣፈጻጽማን (performance metrics) ምትግባር።)
  • Hyperparameter tuning: Optimize models with grid search and Bayesian methods. (ምምሕያሽ Hyperparameter ፡ ሞዴላት ብ grid search ከምኡ'ውን Bayesian methods ምምሕያሽ።)

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

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Very great course. Lots of rich information.
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