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Python Machine Learning Course

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

What will I learn?

Unlock the power of data with our Python Machine Learning Course, tailored for Business Intelligence professionals. Dive into exploratory data analysis, mastering descriptive statistics and visualization techniques to uncover patterns and trends. Enhance your skills with data preprocessing, model training, and evaluation, including cross-validation and performance metrics. Gain insights into machine learning algorithms like logistic regression and decision trees. Transform data into strategic business recommendations and optimize models with hyperparameter tuning. Join now to elevate your BI expertise. (ሓይሊ ዳታ ብትምህርቲ ማሽን ሌርኒንግ ብ Python ንኽፈት፣ ንፕሮፌሽናላት Business Intelligence ተባሂሉ ዝተዳለወ። ኣብ መርመራ ዳታ ኣናሊሲስ ብምጥላቕ፣ ገላጺ ስታቲስቲክስን ቴክኒክስ ምስላው ምስልን ብምልላይ ኣገባብን ኣዝማሚያታትን ንምርካብ። ክእለትካ ብዳታ ፕሪፕሮሰሲንግ፣ ምልምማድ ሞዴልን ገምጋምን ኣሳልጥ፣ መስቀላዊ ምርመራን መለክዒ ኣፈፃፅማን ሓዊሱ። ከም ሎጂስቲክ ሬግረሽንን ናይ ውሳነ ኦም ዝኣመሰሉ ኣልጎሪዝም ማሽን ሌርኒንግ ምርዳእ ይረክቡ። ዳታ ናብ ስትራተጂያዊ ምክሪ ንግዲ ምቕያርን ሞዴላት ብሃይፐርፓራሜተር ምምሕያሽን። ሓዚ ብምስታፍ ሞያኻ BI ኣዕቢ።)

Elevify advantages

Develop skills

  • Master data visualization: Create impactful charts for insightful business decisions. (ምስላው ዳታ ምምራሕ: ንውሳኔታት ንግዲ ዝጠቅሙ ሰሌዳታት ፍጠር።)
  • Conduct exploratory analysis: Uncover patterns and trends in complex datasets. (መርመራ ኣናሊሲስ ምክያድ: ኣብ ዝተሓላለኹ ስብስባት ዳታ ኣገባብን ኣዝማሚያታትን ምግላጽ።)
  • Optimize machine learning models: Fine-tune algorithms for superior performance. (ሞዴላት ማሽን ሌርኒንግ ምምሕያሽ: ኣልጎሪዝም ንላዕለዋይ ኣፈፃፅማ ምምሕያሽ።)
  • Implement data preprocessing: Clean and transform data for accurate analysis. (ዳታ ፕሪፕሮሰሲንግ ተግባራዊ ምግባር: ንትኽክለኛ ኣናሊሲስ ዳታ ምጽራይን ምቕያርን።)
  • Generate strategic insights: Translate model results into actionable business strategies. (ስትራተጂያዊ ምርዳእ ምፍራይ: ውፅኢት ሞዴል ናብ ተግባራዊ ስትራተጂ ንግዲ ምትርጓም።)

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

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Very great course. Lots of rich information.
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