Technologies
Topic
Level
Type of lesson
Career tracks
track
Only for Ultimate
Mastering Data Visualization
5 Courses
145 TasksIntermediate
4.4
(9)
track
Only for Ultimate
Machine Learning Mastery
6 Courses186 TasksIntermediate
4.7
(9)
track
Only for Ultimate
Preparation for Data Science
8 Courses
2 Projects185 TasksIntermediate
4.1
(21)
track
Only for Ultimate
Deep Learning Odyssey
5 Courses184 TasksAdvanced
5.0
(3)
track
Only for Ultimate
Python for Data Analysis
5 Courses134 TasksIntermediate
4.0
(13)
31 result for "Learning"
Courses & Projects
course
ML Introduction with scikit-learn
Machine learning is now used everywhere. Want to learn it yourself? This course is an introduction to the world of Machine learning for you to learn basic concepts, work with Scikit-learn β the most popular library for ML and build your first Machine Learning project.
This course is intended for students with a basic knowledge of Python, Pandas, and Numpy.
4 hours
32 chaptersIntermediate
3 STUDYING NOW
course
Introduction to Reinforcement Learning
Reinforcement Learning (RL) is a powerful branch of machine learning focused on training intelligent agents through interaction with their environment. In this course, you'll learn how agents gradually discover effective behaviors through trial and error. Beginning with core concepts like Markov decision processes and multi-armed bandits, you'll work your way through dynamic programming, Monte Carlo methods, and temporal difference learning.
6 hours 37 chaptersAdvanced
course
Ensemble Learning
Ensemble Learning is an advanced machine learning technique that combines multiple models to improve overall predictive performance and decision-making when solving real-life tasks.
4 hours 22 chaptersAdvanced
project
Recognizing Handwritten Digits
In this project, our primary objective will be to delve into the identification of handwritten digits through the application of machine learning algorithms. This endeavor aims to harness the power of machine learning to effectively interpret and understand handwritten digits, showcasing the potential of these algorithms in processing and analyzing complex visual information.
Only for Ultimate
2 hours 10 chaptersAdvanced
course
Neural Networks with TensorFlow
Dive into the world of neural network development with an immersive program that blends foundational knowledge with advanced techniques. The course emphasizes hands-on learning, providing learners with the opportunity to apply these techniques. Additionally, you will face numerous data preprocessing tasks and real-world examples of neural network training, so stay prepared and motivated, as it will present a significant challenge for you.
5 hours 29 chaptersAdvanced
1 STUDYING NOW
course
Mathematics for Data Science
Master the mathematical foundations essential for data science. Explore core concepts in functions, calculus, linear algebra, probability, and dimensionality reduction. Build both theoretical understanding and practical coding experience to strengthen your ability to analyze data, model complex systems, and apply advanced techniques in machine learning.
5 hours 53 chaptersBeginner
1 STUDYING NOW
course
Introduction to Neural Networks
Neural networks are powerful algorithms inspired by the structure of the human brain that are used to solve complex machine learning problems. You will build your own Neural Network from scratch to understand how it works. After this course, you will be able to create neural networks for solving classification and regression problems using the scikit-learn library.
4 hours 25 chaptersAdvanced
6 STUDYING NOW
project
Detecting Fake Job Postings with Machine Learning
Build a machine learning system to detect fraudulent job postings using text analysis and structured metadata for robust automated screening.
1 hour 0 chapterIntermediate
HUMAN RESOURCES
project
Detecting Credit Card Fraud with Machine Learning
This project teaches practical fraud detection using machine learning, focusing on data preprocessing, model training, evaluation, and threshold optimization.
1 hour 0 chapterIntermediate
INSURANCE & FRAUD
project
Predicting Red Wine Quality with Machine Learning
Explore how machine learning can reveal key chemical traits that distinguish high-quality red wines using real-world data.
1 hour 0 chapterIntermediate
MARKETING & SALES
course
Data Anomaly Detection
Anomaly detection is integral to any data scientist's work: high-quality, cleaned, and well-prepared data is the key to success for almost any machine learning problem.
3 hours 15 chaptersAdvanced
course
Introduction to NLP
Explore the fundamentals of Natural Language Processing (NLP) by learning essential text preprocessing techniques and methods for representing text data. Gain practical experience with the tools used to clean, analyze, and interpret textual information. Develop the skills needed to transform raw language into structured insights, laying a strong foundation for advanced applications in artificial intelligence and machine learning.
5 hours 29 chaptersAdvanced
course
Explore the Linear Regression Using Python
Regression is one of the machine learning algorithms. In this course you will learn how to work with data, build the model and make predictions about the future values.
4 hours 21 chaptersAdvanced
course
Generative AI
This course provides a comprehensive introduction to Generative AI, covering its theoretical foundations, practical applications, and ethical considerations. Learners will explore various generative models, their training methods, and real-world use cases while also addressing the challenges and risks associated with AI-generated content.
4 hours 22 chaptersAdvanced
course
Data Science Interview Challenge
Ready to try your hand at data science? This course is designed to challenge your existing knowledge and hands-on skills, ensuring you are fully prepared for any twists and turns a data science interview might present. We'll push your understanding of critical topics to the limit, assessing your readiness for real-life scenarios.
5 hours 43 chaptersIntermediate
Sorry... We can't find
what you're looking for
Career tracks
track
Only for UltimateMastering Data Visualization
5 Courses145 TasksIntermediate
4.4
(9)
track
Only for UltimateMachine Learning Mastery
6 Courses186 TasksIntermediate
4.7
(9)
track
Only for UltimatePreparation for Data Science
8 Courses2 Projects185 TasksIntermediate
4.1
(21)
track
Only for UltimateDeep Learning Odyssey
5 Courses184 TasksAdvanced
5.0
(3)
track
Only for UltimatePython for Data Analysis
5 Courses134 TasksIntermediate
4.0
(13)
track
Only for Ultimate
Mastering Data Visualization
5 Courses145 Tasks 4.4
track
Only for Ultimate
Machine Learning Mastery
6 Courses186 Tasks 4.7
track
Only for Ultimate
Preparation for Data Science
8 Courses2 Projects185 Tasks 4.1
track
Only for Ultimate
Deep Learning Odyssey
5 Courses184 Tasks 5.0
track
Only for Ultimate
Python for Data Analysis
5 Courses134 Tasks 4.0
Courses & Projects
Technologies
Filters
31 result for "Learning"
course
ML Introduction with scikit-learn
Machine learning is now used everywhere. Want to learn it yourself? This course is an introduction to the world of Machine learning for you to learn basic concepts, work with Scikit-learn β the most popular library for ML and build your first Machine Learning project.
This course is intended for students with a basic knowledge of Python, Pandas, and Numpy.
4 hours 32 chaptersIntermediate
3 STUDYING NOW
course
Introduction to Reinforcement Learning
Reinforcement Learning (RL) is a powerful branch of machine learning focused on training intelligent agents through interaction with their environment. In this course, you'll learn how agents gradually discover effective behaviors through trial and error. Beginning with core concepts like Markov decision processes and multi-armed bandits, you'll work your way through dynamic programming, Monte Carlo methods, and temporal difference learning.
6 hours 37 chaptersAdvanced
course
Ensemble Learning
Ensemble Learning is an advanced machine learning technique that combines multiple models to improve overall predictive performance and decision-making when solving real-life tasks.
4 hours 22 chaptersAdvanced
project
Recognizing Handwritten Digits
In this project, our primary objective will be to delve into the identification of handwritten digits through the application of machine learning algorithms. This endeavor aims to harness the power of machine learning to effectively interpret and understand handwritten digits, showcasing the potential of these algorithms in processing and analyzing complex visual information.
Only for Ultimate
2 hours 10 chaptersAdvanced
course
Neural Networks with TensorFlow
Dive into the world of neural network development with an immersive program that blends foundational knowledge with advanced techniques. The course emphasizes hands-on learning, providing learners with the opportunity to apply these techniques. Additionally, you will face numerous data preprocessing tasks and real-world examples of neural network training, so stay prepared and motivated, as it will present a significant challenge for you.
5 hours 29 chaptersAdvanced
1 STUDYING NOW
course
Mathematics for Data Science
Master the mathematical foundations essential for data science. Explore core concepts in functions, calculus, linear algebra, probability, and dimensionality reduction. Build both theoretical understanding and practical coding experience to strengthen your ability to analyze data, model complex systems, and apply advanced techniques in machine learning.
5 hours 53 chaptersBeginner
1 STUDYING NOW
course
Introduction to Neural Networks
Neural networks are powerful algorithms inspired by the structure of the human brain that are used to solve complex machine learning problems. You will build your own Neural Network from scratch to understand how it works. After this course, you will be able to create neural networks for solving classification and regression problems using the scikit-learn library.
4 hours 25 chaptersAdvanced
6 STUDYING NOW
project
Detecting Fake Job Postings with Machine Learning
Build a machine learning system to detect fraudulent job postings using text analysis and structured metadata for robust automated screening.
1 hour 0 chapterIntermediate
HUMAN RESOURCES
project
Detecting Credit Card Fraud with Machine Learning
This project teaches practical fraud detection using machine learning, focusing on data preprocessing, model training, evaluation, and threshold optimization.
1 hour 0 chapterIntermediate
INSURANCE & FRAUD
project
Predicting Red Wine Quality with Machine Learning
Explore how machine learning can reveal key chemical traits that distinguish high-quality red wines using real-world data.
1 hour 0 chapterIntermediate
MARKETING & SALES
course
Data Anomaly Detection
Anomaly detection is integral to any data scientist's work: high-quality, cleaned, and well-prepared data is the key to success for almost any machine learning problem.
3 hours 15 chaptersAdvanced
course
Introduction to NLP
Explore the fundamentals of Natural Language Processing (NLP) by learning essential text preprocessing techniques and methods for representing text data. Gain practical experience with the tools used to clean, analyze, and interpret textual information. Develop the skills needed to transform raw language into structured insights, laying a strong foundation for advanced applications in artificial intelligence and machine learning.
5 hours 29 chaptersAdvanced
course
Explore the Linear Regression Using Python
Regression is one of the machine learning algorithms. In this course you will learn how to work with data, build the model and make predictions about the future values.
4 hours 21 chaptersAdvanced
course
Generative AI
This course provides a comprehensive introduction to Generative AI, covering its theoretical foundations, practical applications, and ethical considerations. Learners will explore various generative models, their training methods, and real-world use cases while also addressing the challenges and risks associated with AI-generated content.
4 hours 22 chaptersAdvanced
course
Data Science Interview Challenge
Ready to try your hand at data science? This course is designed to challenge your existing knowledge and hands-on skills, ensuring you are fully prepared for any twists and turns a data science interview might present. We'll push your understanding of critical topics to the limit, assessing your readiness for real-life scenarios.
5 hours 43 chaptersIntermediate
course
ML Introduction with scikit-learn
Machine learning is now used everywhere. Want to learn it yourself? This course is an introduction to the world of Machine learning for you to learn basic concepts, work with Scikit-learn β the most popular library for ML and build your first Machine Learning project.
This course is intended for students with a basic knowledge of Python, Pandas, and Numpy.
4 hours 32 chaptersIntermediate
3 STUDYING NOW
course
Introduction to Reinforcement Learning
Reinforcement Learning (RL) is a powerful branch of machine learning focused on training intelligent agents through interaction with their environment. In this course, you'll learn how agents gradually discover effective behaviors through trial and error. Beginning with core concepts like Markov decision processes and multi-armed bandits, you'll work your way through dynamic programming, Monte Carlo methods, and temporal difference learning.
6 hours 37 chaptersAdvanced
course
Ensemble Learning
Ensemble Learning is an advanced machine learning technique that combines multiple models to improve overall predictive performance and decision-making when solving real-life tasks.
4 hours 22 chaptersAdvanced
project
Recognizing Handwritten Digits
In this project, our primary objective will be to delve into the identification of handwritten digits through the application of machine learning algorithms. This endeavor aims to harness the power of machine learning to effectively interpret and understand handwritten digits, showcasing the potential of these algorithms in processing and analyzing complex visual information.
Only for Ultimate
2 hours 10 chaptersAdvanced
course
Neural Networks with TensorFlow
Dive into the world of neural network development with an immersive program that blends foundational knowledge with advanced techniques. The course emphasizes hands-on learning, providing learners with the opportunity to apply these techniques. Additionally, you will face numerous data preprocessing tasks and real-world examples of neural network training, so stay prepared and motivated, as it will present a significant challenge for you.
5 hours 29 chaptersAdvanced
1 STUDYING NOW
course
Mathematics for Data Science
Master the mathematical foundations essential for data science. Explore core concepts in functions, calculus, linear algebra, probability, and dimensionality reduction. Build both theoretical understanding and practical coding experience to strengthen your ability to analyze data, model complex systems, and apply advanced techniques in machine learning.
5 hours 53 chaptersBeginner
1 STUDYING NOW
course
Introduction to Neural Networks
Neural networks are powerful algorithms inspired by the structure of the human brain that are used to solve complex machine learning problems. You will build your own Neural Network from scratch to understand how it works. After this course, you will be able to create neural networks for solving classification and regression problems using the scikit-learn library.
4 hours 25 chaptersAdvanced
6 STUDYING NOW
project
Detecting Fake Job Postings with Machine Learning
Build a machine learning system to detect fraudulent job postings using text analysis and structured metadata for robust automated screening.
1 hour 0 chapterIntermediate
HUMAN RESOURCES
project
Detecting Credit Card Fraud with Machine Learning
This project teaches practical fraud detection using machine learning, focusing on data preprocessing, model training, evaluation, and threshold optimization.
1 hour 0 chapterIntermediate
INSURANCE & FRAUD
project
Predicting Red Wine Quality with Machine Learning
Explore how machine learning can reveal key chemical traits that distinguish high-quality red wines using real-world data.
1 hour 0 chapterIntermediate
MARKETING & SALES
course
Data Anomaly Detection
Anomaly detection is integral to any data scientist's work: high-quality, cleaned, and well-prepared data is the key to success for almost any machine learning problem.
3 hours 15 chaptersAdvanced
course
Introduction to NLP
Explore the fundamentals of Natural Language Processing (NLP) by learning essential text preprocessing techniques and methods for representing text data. Gain practical experience with the tools used to clean, analyze, and interpret textual information. Develop the skills needed to transform raw language into structured insights, laying a strong foundation for advanced applications in artificial intelligence and machine learning.
5 hours 29 chaptersAdvanced
course
Explore the Linear Regression Using Python
Regression is one of the machine learning algorithms. In this course you will learn how to work with data, build the model and make predictions about the future values.
4 hours 21 chaptersAdvanced
course
Generative AI
This course provides a comprehensive introduction to Generative AI, covering its theoretical foundations, practical applications, and ethical considerations. Learners will explore various generative models, their training methods, and real-world use cases while also addressing the challenges and risks associated with AI-generated content.
4 hours 22 chaptersAdvanced
course
Data Science Interview Challenge
Ready to try your hand at data science? This course is designed to challenge your existing knowledge and hands-on skills, ensuring you are fully prepared for any twists and turns a data science interview might present. We'll push your understanding of critical topics to the limit, assessing your readiness for real-life scenarios.
5 hours 43 chaptersIntermediate
Sorry... We can't find
what you're looking for
