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S10_Machine Learning
S10_Machine Learning
52 Students enrolled
Created by: Konstantinos Liagkouras, Freda Dyrkaj
Last Updated: 24th February 2025
English
Requirements
S10_Machine Learning
Description
S10_Machine Learning
Content
1- Introduction
1- Introduction to Machine Learning
11- Introduction to Advanced Analytics
2-Python
2- Install Python - If-Else Statements/String Variables/Functions
3- Lists-Dictionaries
4-Tuple-Files
3- Python libraries suitable for ML
5-Loading Data for ML-Pandas-Data Cleaning
7- Project using Pandas-Numpy
6- Introduction to Analytics/NumPy Examples
8- Exam in Python/Pandas/NumPy
9- The importance of visualization
10- Data Visualization Using Matplotlib and Seaborn
Supervised Learning
Introduction to Time Series with python
Exercises in Time Series with python
12- Linear/Multiple Regression
Introduction to Support vector machine with python
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Konstantinos Liagkouras
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Freda Dyrkaj
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