PHAROS AI Factory announced the 1st Course of its Training Series, Machine Learning Track: “Machine Learning Fundamentals“, which was held online via Zoom.
Presentation language: Greek
Audience: This module was designed for data analysts, software developers, business professionals, and newcomers to data science who are keen to understand the basics of machine learning and data mining.
Prerequisites: Basic knowledge of Python, Python libraries (e.g. pandas, numpy, scipy, scikit-learn, matplotlib)
Location: Online via Zoom
Description: This course discussed the fundamentals needed for machine learning practitioners, covering two essential dimensions: exploratory data analysis outlines the techniques needed to extract statistics, visualize information and perform preprocessing algorithms to a given tabular dataset. Moreover, fundamental machine learning algorithms for data classification, such as logistic regression, naive bayes, decision trees and other established methods, such as their evaluation practices concluded this course.
Learning Objectives
- Understand the role of exploratory data analysis (EDA) in preparing data for machine learning.
- Learn techniques for summarizing, visualizing, and preprocessing tabular datasets.
- Gain knowledge of fundamental classification algorithms such as logistic regression, naive Bayes, and decision trees.
- Explore evaluation methods to assess and compare model performance.
You may find the Course’s Presentation Material here.
Watch the Course’s recordings in the dedicated playlist here.
