Login
Categories
Machine Learning
Artificial Intelligence
Software Development
Web Application Development
Java Development
Python
Cyber Security
Cyber Security
Soft Skills
Soft Skills Development
IT Project Management
Web Application Development
Web Application Development
Big Data Analytics / Data Science
Bid Data Analytics / Data Science
Kosovo Young ICT Skilled Profiles
Login
Become An Instructor
×
Machine Learning Group 2
Machine Learning Group 2
135 Students enrolled
Created by: Konstantinos Liagkouras
Last Updated: 23rd September 2022
English
Requirements
Machine Learning Group 2
Description
Machine Learning Group 2
Content
Introduction to Machine learning
Introduction to Machine Learning and Setting up the Development Environment
Supervised Machine Learning Techniques
Introduction to Linear Regression
Ordinary Least Squares Regression
Introduction to Logistic Regression
Multiple Logistic Regression
How to use P value for Regression Analysis
Introduction to K-Nearest Neighbors (KNN)
K-Nearest Neighbors (KNN) for Classification and Regression
Introduction to Support vector machine (SVM)
Support Vector Regression
Fine tuning of SVM algorithm
Introduction to Time Series
Exercises in Time Series
Introduction to Naive Bayes
Exercises in Naive Bayes
Naive Bayes for Text Classification
Text Classification with Python
Sentiment Analysis with Python
Exercises in Sentiment Analysis with Python
Sentiment Analysis by using Python Libraries
Sentiment Analysis with TextBlob
How Does Web Scraping Work
Introduction to Random Forest
Decision Tree Classification in Python
Introduction to Artificial Neural Networks (ANN)
Exercises in Artificial Neural Networks (ANN)
Exercises in ANNs
Introduction to Genetic Algorithms
Recommendation systems with Python
Exercises in Fuzzy Logic
Introduction to Time Series
Brownian Motion
Image Processing with Python
Image Classification with Python
Convolutional Neural Networks for Image Classification
Recurrent Neural Networks (RNN)
Applications of Recurrent Neural Networks(RNN) in Python
Applications of ANN in Python
Solving Classification problems with different Machine Learning techniques
Machine Learning for Regression Analysis
Unsupervised Learning
K Mean Clustering
Principal Component Analysis
Exercises in Unsupervised Learning
Exercises in Unsupervised Learning
Unsupervised Learning with Python
Optimization Techniques
Linear Programming
Mixed Integer programming
Networks in Python
Dijkstra's Algorithm in Python
Reinforcement Learning
Introduction to Reinforcement Learning
Recent Modules
Web Development Practitioner
Last Updated 15th January 2024
36
Machine Learning
Last Updated 11th January 2024
59
Artificial Intelligence
Last Updated 11th January 2024
75
Python Programming
Last Updated 11th January 2024
159
Big Data Analytics / Data Science
Last Updated 11th January 2024
127
Meet your instructor
Konstantinos Liagkouras
Meet your instructor
Report
Become An Instructor
×