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S9_Artificial Intelligence
S8_Artificial Intelligence
47 Students enrolled
Created by: Konstantinos Liagkouras
Last Updated: 16th September 2024
English
Requirements
S8_Artificial Intelligence
Description
S8_Artificial Intelligence
Content
Introduction
Introduction to AI and Entrance Test
Introduction to Python Programming
Introduction to Python
Visualization with Matplotlib
Regression Analysis with Python
Introduction to Regression Analysis with Python
Logistic Regression in Python
Supervised Learning Techniques
Introduction to K-Nearest Neighbors with Python
Dataset Visualization techniques
Introduction to Random Forest
Introduction to Support vector machine with python
Exercises in Support vector machine with python
Support vector Regression with python
Introduction to Naive Bayes
Reinforcement Learning Techniques
Unsupervised Learning Techniques
Artificial Neural Networks with Python
Sentiment Analysis
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Konstantinos Liagkouras
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