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S10_Artificial Intelligence
S10_Artificial Intelligence
50 Students enrolled
Created by: Konstantinos Liagkouras
Last Updated: 24th February 2025
English
Requirements
S10_Artificial Intelligence
Description
S10_Artificial Intelligence
Content
Introduction
Introduction to Artificial Intelligence
Introduction to Python Programming
Working with Arrays (Python)
Visualization with Matplotlib
Visualization with Matplotlib python
Dataset Visualization techniques
Regression Analysis with Python
Regression Analysis with Python
Logistic Regression with Python
Logistic Regression in Python
Supervised Learning
K Nearest Neighbors (KNN) Classifier
Introduction to Time Series with Python
Exercise in Time Series with python
Multiplicative Decomposition in Time Series with python
Introduction to Random Forest with python
Random Forest Classification with python
Introduction to Support vector machine with python
Exercises in Support vector machine with python
Exercises in Support Vector Regression
Introduction to Naive Bayes
Exercises in Naive Bayes with python
Introduction to Artificial Neural Networks
Recurrent Neural Networks with python
Image Classification with Artificial Neural Networks
Optimization
Linear Programming with Python
Mixed Integer Linear programming with python
Introduction to Genetic Algorithms
Exercises in Genetic Algorithms with python
Sentiment Analysis
Text Mining with Python
Sentiment Analysis with python
Exercises in Sentiment Analysis with python
Exercises in Sentiment Analysis (python)
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