DATA ANALYTICS - Fundamentals of Machine Learning

ITALIAN LANGUAGE

ASYNCHRONOUS COURSE DURATION: 8 HOURS

SYNCHRONOUS COURSE DURATION: 10 HOURS

MODE: online or in person

OBJECTIVES

Provide a basic understanding of the fundamentals of Machine Learning.

RECIPIENTS

All those who carry out or intend to carry out the activity of Data Analyst. Degree in STEM disciplines preferred, Programming with Python and Python Data Toolkit: Numpy, Pandas, Matplotlib.

 

SUBJECTS

  • Classify a Machine Learning problem
  • Clean and prepare a dataset appropriately (missing values, duplicates, outliers, categorical variables)
  • Build machine learning models for regression problems with linear regression
  • Building machine learning models for classification problems with logistic regression
  • Build Machine Learning models to perform clustering with the K-means algorithm
  • Evaluate a Machine Learning model using the right Metrics

 

 

CONTENTS AND TEACHING BY PROFESSION AI

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