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Machine Learning
Machine Learning
57 Students enrolled
Created by: Freda Dyrkaj, Konstantinos Liagkouras
Last Updated: 25th September 2023
English
Requirements
Machine Learning
Description
Machine Learning
Content
Introduction to Machine learning
1: Introduction ML
24: SQL- Stored Procedures
Introduction to Python
2: Introduction + Install Python
3: Strings
4: Lists +Dict
5: Tuples+Files
Python libraries suitable for ML
6: Pandas
7: NumPy, Exercises
8: Loading data for ML
9: Data preparation
Supervised Learning
Introduction to Support vector machine
Exercises in Support vector machine
Introduction to K-Nearest Neighbors
Introduction to Random Forest
Introduction to Decision Trees
Introduction to Naive Bayes
Introduction to Time Series
Exercises in Time Series
Introduction to Artificial Neural Networks
Exercises in Artificial Neural Networks
Exercises in Artificial Neural Networks
Convolutional neural networks
Convolutional Neural Networks
Analytics and Visualization
10: Understanding Data with Visualisation
11: Introduction to Advanced Analytics
Regression Analysis
12: Introduction to Linear Regression
13: Multiple & Logistic Regression
14: Logistic Regression Exercises
15: Scaling
Introduction to Classification
16: Introduction to Classification-Confusion Matrix
17: Machine Learning Classification Algorithms
18: Feature scaling techniques
19: Project Presentation-Exercises
Introduction to SQL
20: Introduction to SQL-RDBMS
21: SQL Constraints
22: SQL Joins
23: SQL- GroupBy, Having, Exists
Sentiment Analysis
Introduction to Sentiment Analysis
Exercises in Sentiment Analysis
Unsupervised Learning
Introduction to Unsupervised Learning
Dimensionality Reduction by using PCA
Hierarchical Clustering
Using Databases in Python
25: Python connect with Mysql
26: Functions and Queries in PythonMysql
27: Python Sql Exercises
28: SQL and Data Frames Module
Reinforcement Learning
Introduction to Reinforcement Learning
Exercises in Q-Learning
Repeat_Exam
29: Repeat all chapters
30: Exam
Intelligent Systems
Introduction to Expert Systems
Exercises in Expert Systems
Introduction to Genetic Algorithms
Exercises in Genetic Algorithms
Solving Multi-objective problems with python
Exercises in Multi-objective Optimization with Python
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Freda Dyrkaj
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Konstantinos Liagkouras
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