Technologies
Topic
Level
Type of lesson
Career tracks
track
Only for Ultimate
Web Development with C#
7 Courses
293 TasksBeginner
4.8
(2546)
track
Only for Ultimate
Python from Zero to Hero
6 Courses195 TasksBeginner
4.7
(9126)
track
Only for Ultimate
SQL from Zero to Hero
4 Courses115 TasksBeginner
4.7
(2772)
track
Only for Ultimate
Π‘++ Essentials
6 Courses101 TasksBeginner
4.4
(534)
track
Only for Ultimate
Game Development with Unity
4 Courses143 TasksBeginner
4.6
(92)
track
Only for Ultimate
Become a React Developer
4 Courses98 TasksIntermediate
4.7
(70)
track
Only for Ultimate
Excel Essentials
3 Courses38 TasksBeginner
4.7
(374)
track
Only for Ultimate
Java Essentials
7 Courses376 TasksBeginner
4.7
(220)
track
Only for Ultimate
Full Stack Web Development
7 Courses345 TasksBeginner
4.7
(893)
track
Only for Ultimate
Frontend Development Foundations
6 Courses308 TasksBeginner
4.7
(864)
track
Only for Ultimate
Mastering Data Visualization
5 Courses146 TasksIntermediate
4.7
(602)
track
Only for Ultimate
Machine Learning Mastery
5 Courses148 TasksIntermediate
4.6
(134)
track
Only for Ultimate
C++ Mastery
3 Courses70 TasksAdvanced
4.8
(17)
track
Only for Ultimate
Java Web
7 Courses280 TasksAdvanced
4.7
(3051)
track
Only for Ultimate
Become a QA Engineer
5 Courses239 TasksBeginner
4.7
(750)
track
Only for Ultimate
Video Production with Adobe
4 Courses125 TasksBeginner
5.0
(5)
track
Only for Ultimate
UI/UX Design Tools
3 Courses119 TasksBeginner
4.9
(7)
track
Only for Ultimate
Essential Office Skills
3 Courses75 TasksBeginner
4.8
(303)
track
Only for Ultimate
Digital Marketing Essentials
5 Courses211 TasksBeginner
4.8
(6)
track
Only for Ultimate
Complete Social Media Management
5 Courses206 TasksBeginner
5.0
(3)
track
Only for Ultimate
Business AI Toolkit
3 Courses
2 Projects49 TasksBeginner
4.7
(40)
track
Only for Ultimate
No-Code Website Development
3 Courses180 TasksBeginner
4.0
(2)
track
Only for Ultimate
Deep Learning Odyssey
4 Courses153 TasksAdvanced
4.8
(21)
Courses & Projects
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.
5.0
(1)
Only for Ultimate
2 hours
10 chaptersAdvanced
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.
4.8
(19)
4 hours 25 chaptersAdvanced
6 STUDYING NOW
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.
4.6
(45)
4 hours 32 chaptersIntermediate
13 STUDYING NOW
course
Introduction to NLP
Let's explore the fundamentals of Natural Language Processing (NLP) as you delve into text preprocessing techniques and various text models used to represent text data. You will gain practical insights and hands-on experience with the tools and methods essential for analyzing and interpreting textual data effectively. This course equips you with the skills to transform raw text into meaningful information, paving the way for advanced applications in AI and machine learning.
5.0
(2)
4 hours 24 chaptersAdvanced
4 STUDYING NOW
course
Classification with Python
In machine learning, classification is used in predictive modeling to assign input data with a class label. Sounds difficult? Don't worry! Let's cope with this! Welcome to the ML!
4.2
(14)
4 hours 28 chaptersIntermediate
3 STUDYING NOW
project
Logistic Regression Mastering
Logistic regression is a statistical method for analyzing a dataset in which there are one or more independent variables that determine an outcome. In this project, we will leverage logistic regression to classify data into two distinct categories. The process will involve data preprocessing, model training, evaluation, and tuning to achieve optimal performance.
new
Only for Ultimate
1 hour 6 chaptersAdvanced
1 STUDYING NOW
course
Computer Vision Essentials
Comprehensive introduction to Computer Vision, focusing on machine perception and interpretation of visual data. Covers image preprocessing, feature extraction, object detection, and deep learning techniques used in modern vision systems.
new
4 hours 29 chaptersIntermediate
4 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.
new
6 hours 37 chaptersAdvanced
1 STUDYING NOW
course
PyTorch Essentials
Learn the fundamental and advanced concepts needed to work with PyTorch efficiently. Gain a solid understanding tensors, including creation, operations, and reshaping. Explore the essentials of gradients, backpropagation, and linear regression before moving on to handling datasets. Master the skill needed build, train, and evaluate neural networks.
new
3 hours 20 chaptersAdvanced
1 STUDYING NOW
Sorry... We can't find
what you're looking for
Career tracks
track
Only for UltimateWeb Development with C#
7 Courses293 TasksBeginner
4.8
(2546)
track
Only for UltimatePython from Zero to Hero
6 Courses195 TasksBeginner
4.7
(9126)
track
Only for UltimateSQL from Zero to Hero
4 Courses115 TasksBeginner
4.7
(2772)
track
Only for UltimateΠ‘++ Essentials
6 Courses101 TasksBeginner
4.4
(534)
track
Only for UltimateGame Development with Unity
4 Courses143 TasksBeginner
4.6
(92)
track
Only for UltimateBecome a React Developer
4 Courses98 TasksIntermediate
4.7
(70)
track
Only for UltimateExcel Essentials
3 Courses38 TasksBeginner
4.7
(374)
track
Only for UltimateJava Essentials
7 Courses376 TasksBeginner
4.7
(220)
track
Only for UltimateFull Stack Web Development
7 Courses345 TasksBeginner
4.7
(893)
track
Only for UltimateFrontend Development Foundations
6 Courses308 TasksBeginner
4.7
(864)
track
Only for UltimateMastering Data Visualization
5 Courses146 TasksIntermediate
4.7
(602)
track
Only for UltimateMachine Learning Mastery
5 Courses148 TasksIntermediate
4.6
(134)
track
Only for UltimateC++ Mastery
3 Courses70 TasksAdvanced
4.8
(17)
track
Only for UltimateJava Web
7 Courses280 TasksAdvanced
4.7
(3051)
track
Only for UltimateBecome a QA Engineer
5 Courses239 TasksBeginner
4.7
(750)
track
Only for UltimateVideo Production with Adobe
4 Courses125 TasksBeginner
5.0
(5)
track
Only for UltimateUI/UX Design Tools
3 Courses119 TasksBeginner
4.9
(7)
track
Only for UltimateEssential Office Skills
3 Courses75 TasksBeginner
4.8
(303)
track
Only for UltimateDigital Marketing Essentials
5 Courses211 TasksBeginner
4.8
(6)
track
Only for UltimateComplete Social Media Management
5 Courses206 TasksBeginner
5.0
(3)
track
Only for UltimateBusiness AI Toolkit
3 Courses2 Projects49 TasksBeginner
4.7
(40)
track
Only for UltimateNo-Code Website Development
3 Courses180 TasksBeginner
4.0
(2)
track
Only for UltimateDeep Learning Odyssey
4 Courses153 TasksAdvanced
4.8
(21)
track
Only for Ultimate
Web Development with C#
7 Courses293 Tasks 4.8
track
Only for Ultimate
Python from Zero to Hero
6 Courses195 Tasks 4.7
track
Only for Ultimate
SQL from Zero to Hero
4 Courses115 Tasks 4.7
track
Only for Ultimate
Π‘++ Essentials
6 Courses101 Tasks 4.4
track
Only for Ultimate
Game Development with Unity
4 Courses143 Tasks 4.6
track
Only for Ultimate
Become a React Developer
4 Courses98 Tasks 4.7
track
Only for Ultimate
Excel Essentials
3 Courses38 Tasks 4.7
track
Only for Ultimate
Java Essentials
7 Courses376 Tasks 4.7
track
Only for Ultimate
Full Stack Web Development
7 Courses345 Tasks 4.7
track
Only for Ultimate
Frontend Development Foundations
6 Courses308 Tasks 4.7
track
Only for Ultimate
Mastering Data Visualization
5 Courses146 Tasks 4.7
track
Only for Ultimate
Machine Learning Mastery
5 Courses148 Tasks 4.6
track
Only for Ultimate
C++ Mastery
3 Courses70 Tasks 4.8
track
Only for Ultimate
Java Web
7 Courses280 Tasks 4.7
track
Only for Ultimate
Become a QA Engineer
5 Courses239 Tasks 4.7
track
Only for Ultimate
Video Production with Adobe
4 Courses125 Tasks 5.0
track
Only for Ultimate
UI/UX Design Tools
3 Courses119 Tasks 4.9
track
Only for Ultimate
Essential Office Skills
3 Courses75 Tasks 4.8
track
Only for Ultimate
Digital Marketing Essentials
5 Courses211 Tasks 4.8
track
Only for Ultimate
Complete Social Media Management
5 Courses206 Tasks 5.0
track
Only for Ultimate
Business AI Toolkit
3 Courses2 Projects49 Tasks 4.7
track
Only for Ultimate
No-Code Website Development
3 Courses180 Tasks 4.0
track
Only for Ultimate
Deep Learning Odyssey
4 Courses153 Tasks 4.8
Courses & Projects
Technologies
Filters
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.
5.0
(1)
Only for Ultimate
2 hours 10 chaptersAdvanced
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.
4.8
(19)
4 hours 25 chaptersAdvanced
6 STUDYING NOW
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.
4.6
(45)
4 hours 32 chaptersIntermediate
13 STUDYING NOW
course
Introduction to NLP
Let's explore the fundamentals of Natural Language Processing (NLP) as you delve into text preprocessing techniques and various text models used to represent text data. You will gain practical insights and hands-on experience with the tools and methods essential for analyzing and interpreting textual data effectively. This course equips you with the skills to transform raw text into meaningful information, paving the way for advanced applications in AI and machine learning.
5.0
(2)
4 hours 24 chaptersAdvanced
4 STUDYING NOW
course
Classification with Python
In machine learning, classification is used in predictive modeling to assign input data with a class label. Sounds difficult? Don't worry! Let's cope with this! Welcome to the ML!
4.2
(14)
4 hours 28 chaptersIntermediate
3 STUDYING NOW
project
Logistic Regression Mastering
Logistic regression is a statistical method for analyzing a dataset in which there are one or more independent variables that determine an outcome. In this project, we will leverage logistic regression to classify data into two distinct categories. The process will involve data preprocessing, model training, evaluation, and tuning to achieve optimal performance.
new
Only for Ultimate
1 hour 6 chaptersAdvanced
1 STUDYING NOW
course
Computer Vision Essentials
Comprehensive introduction to Computer Vision, focusing on machine perception and interpretation of visual data. Covers image preprocessing, feature extraction, object detection, and deep learning techniques used in modern vision systems.
new
4 hours 29 chaptersIntermediate
4 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.
new
6 hours 37 chaptersAdvanced
1 STUDYING NOW
course
PyTorch Essentials
Learn the fundamental and advanced concepts needed to work with PyTorch efficiently. Gain a solid understanding tensors, including creation, operations, and reshaping. Explore the essentials of gradients, backpropagation, and linear regression before moving on to handling datasets. Master the skill needed build, train, and evaluate neural networks.
new
3 hours 20 chaptersAdvanced
1 STUDYING NOW
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.
5.0
(1)
Only for Ultimate
2 hours 10 chaptersAdvanced
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.
4.8
(19)
4 hours 25 chaptersAdvanced
6 STUDYING NOW
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.
4.6
(45)
4 hours 32 chaptersIntermediate
13 STUDYING NOW
course
Introduction to NLP
Let's explore the fundamentals of Natural Language Processing (NLP) as you delve into text preprocessing techniques and various text models used to represent text data. You will gain practical insights and hands-on experience with the tools and methods essential for analyzing and interpreting textual data effectively. This course equips you with the skills to transform raw text into meaningful information, paving the way for advanced applications in AI and machine learning.
5.0
(2)
4 hours 24 chaptersAdvanced
4 STUDYING NOW
course
Classification with Python
In machine learning, classification is used in predictive modeling to assign input data with a class label. Sounds difficult? Don't worry! Let's cope with this! Welcome to the ML!
4.2
(14)
4 hours 28 chaptersIntermediate
3 STUDYING NOW
project
Logistic Regression Mastering
Logistic regression is a statistical method for analyzing a dataset in which there are one or more independent variables that determine an outcome. In this project, we will leverage logistic regression to classify data into two distinct categories. The process will involve data preprocessing, model training, evaluation, and tuning to achieve optimal performance.
new
Only for Ultimate
1 hour 6 chaptersAdvanced
1 STUDYING NOW
course
Computer Vision Essentials
Comprehensive introduction to Computer Vision, focusing on machine perception and interpretation of visual data. Covers image preprocessing, feature extraction, object detection, and deep learning techniques used in modern vision systems.
new
4 hours 29 chaptersIntermediate
4 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.
new
6 hours 37 chaptersAdvanced
1 STUDYING NOW
course
PyTorch Essentials
Learn the fundamental and advanced concepts needed to work with PyTorch efficiently. Gain a solid understanding tensors, including creation, operations, and reshaping. Explore the essentials of gradients, backpropagation, and linear regression before moving on to handling datasets. Master the skill needed build, train, and evaluate neural networks.
new
3 hours 20 chaptersAdvanced
1 STUDYING NOW
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what you're looking for
