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Web Development with C#
7 Courses
293 TasksBeginner
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Python from Zero to Hero
6 Courses195 TasksBeginner
4.6
(9876)
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Only for Ultimate
SQL from Zero to Hero
4 Courses115 TasksBeginner
4.7
(2974)
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Π‘++ Essentials
6 Courses101 TasksBeginner
4.2
(632)
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Game Development with Unity
4 Courses143 TasksBeginner
4.5
(119)
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Become a React Developer
4 Courses98 TasksIntermediate
4.3
(85)
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Excel Essentials
3 Courses39 TasksBeginner
4.6
(438)
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Only for Ultimate
Java Essentials
7 Courses376 TasksBeginner
4.5
(265)
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Only for Ultimate
Full Stack Web Development
7 Courses343 TasksBeginner
4.6
(987)
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Only for Ultimate
Frontend Development Foundations
6 Courses306 TasksBeginner
4.6
(943)
track
Only for Ultimate
Mastering Data Visualization
5 Courses145 TasksIntermediate
4.6
(648)
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Only for Ultimate
Machine Learning Mastery
6 Courses177 TasksIntermediate
4.4
(149)
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Only for Ultimate
C++ Mastery
3 Courses70 TasksAdvanced
4.3
(20)
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Java Web
7 Courses278 TasksAdvanced
4.7
(3265)
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Become a QA Engineer
5 Courses237 TasksBeginner
4.6
(815)
track
Only for Ultimate
Video Production with Adobe
4 Courses125 TasksBeginner
5.0
(6)
track
Only for Ultimate
UI/UX Design Tools
4 Courses162 TasksBeginner
4.7
(10)
track
Only for Ultimate
Essential Office Skills
3 Courses75 TasksBeginner
4.7
(346)
track
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Digital Marketing Essentials
6 Courses293 TasksBeginner
4.4
(8)
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Only for Ultimate
Complete Social Media Management
5 Courses206 TasksBeginner
5.0
(4)
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Only for Ultimate
Business AI Toolkit
3 Courses
2 Projects50 TasksBeginner
4.6
(48)
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Only for Ultimate
No-Code Website Development
3 Courses180 TasksBeginner
4.3
(3)
track
Only for Ultimate
Deep Learning Odyssey
5 Courses175 TasksAdvanced
4.4
(24)
Courses & Projects
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
5 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 hours 32 chaptersIntermediate
17 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.
4 hours 24 chaptersAdvanced
3 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 hours 28 chaptersIntermediate
6 STUDYING NOW
course
Cluster Analysis
Gain a solid understanding of cluster analysis, a key unsupervised learning technique for uncovering patterns in unlabeled data. Explore the essentials of K-Means, Hierarchical Clustering, DBSCAN, and GMMs, and get hands-on experience with real datasets to build confidence in applying clustering to real-world problems.
4 hours 34 chaptersIntermediate
1 STUDYING NOW
course
Introduction to RNNs
Master Recurrent neural networks and their advanced variants like LSTMs and GRUs using PyTorch. Gain hands-on experience processing sequential data for practical applications. Apply these powerful models to tackle real-world challenges in time series forecasting and various Natural language processing tasks.
3 hours 22 chaptersIntermediate
project
Building a Book Recommendation System with Collaborative Filtering
Learn to build and evaluate a collaborative filtering recommender system using real-world user ratings data for personalized book recommendations.
1 hour 0 chapterAdvanced
MARKETING & SALES
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.
4 hours 29 chaptersIntermediate
3 STUDYING NOW
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
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
Exploring Heart Disease Patterns in Clinical Data
Explore real-world patient heart health data to uncover relationships between chest pain types, demographics, and heart disease prevalence using Python analytics.
1 hour 0 chapterBeginner
HEALTH CARE
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
6 STUDYING NOW
project
Predicting Potable Water Quality
Build a predictive model to identify potable water using chemical measurements, evaluating model performance and feature importance for decision support.
1 hour 0 chapterIntermediate
ENVIRONMENT
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
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.
3 hours 20 chaptersAdvanced
2 STUDYING NOW
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what you're looking for
Career tracks
track
Only for UltimateWeb Development with C#
7 Courses293 TasksBeginner
4.7
(2743)
track
Only for UltimatePython from Zero to Hero
6 Courses195 TasksBeginner
4.6
(9876)
track
Only for UltimateSQL from Zero to Hero
4 Courses115 TasksBeginner
4.7
(2974)
track
Only for UltimateΠ‘++ Essentials
6 Courses101 TasksBeginner
4.2
(632)
track
Only for UltimateGame Development with Unity
4 Courses143 TasksBeginner
4.5
(119)
track
Only for UltimateBecome a React Developer
4 Courses98 TasksIntermediate
4.3
(85)
track
Only for UltimateExcel Essentials
3 Courses39 TasksBeginner
4.6
(438)
track
Only for UltimateJava Essentials
7 Courses376 TasksBeginner
4.5
(265)
track
Only for UltimateFull Stack Web Development
7 Courses343 TasksBeginner
4.6
(987)
track
Only for UltimateFrontend Development Foundations
6 Courses306 TasksBeginner
4.6
(943)
track
Only for UltimateMastering Data Visualization
5 Courses145 TasksIntermediate
4.6
(648)
track
Only for UltimateMachine Learning Mastery
6 Courses177 TasksIntermediate
4.4
(149)
track
Only for UltimateC++ Mastery
3 Courses70 TasksAdvanced
4.3
(20)
track
Only for UltimateJava Web
7 Courses278 TasksAdvanced
4.7
(3265)
track
Only for UltimateBecome a QA Engineer
5 Courses237 TasksBeginner
4.6
(815)
track
Only for UltimateVideo Production with Adobe
4 Courses125 TasksBeginner
5.0
(6)
track
Only for UltimateUI/UX Design Tools
4 Courses162 TasksBeginner
4.7
(10)
track
Only for UltimateEssential Office Skills
3 Courses75 TasksBeginner
4.7
(346)
track
Only for UltimateDigital Marketing Essentials
6 Courses293 TasksBeginner
4.4
(8)
track
Only for UltimateComplete Social Media Management
5 Courses206 TasksBeginner
5.0
(4)
track
Only for UltimateBusiness AI Toolkit
3 Courses2 Projects50 TasksBeginner
4.6
(48)
track
Only for UltimateNo-Code Website Development
3 Courses180 TasksBeginner
4.3
(3)
track
Only for UltimateDeep Learning Odyssey
5 Courses175 TasksAdvanced
4.4
(24)
track
Only for Ultimate
Web Development with C#
7 Courses293 Tasks 4.7
track
Only for Ultimate
Python from Zero to Hero
6 Courses195 Tasks 4.6
track
Only for Ultimate
SQL from Zero to Hero
4 Courses115 Tasks 4.7
track
Only for Ultimate
Π‘++ Essentials
6 Courses101 Tasks 4.2
track
Only for Ultimate
Game Development with Unity
4 Courses143 Tasks 4.5
track
Only for Ultimate
Become a React Developer
4 Courses98 Tasks 4.3
track
Only for Ultimate
Excel Essentials
3 Courses39 Tasks 4.6
track
Only for Ultimate
Java Essentials
7 Courses376 Tasks 4.5
track
Only for Ultimate
Full Stack Web Development
7 Courses343 Tasks 4.6
track
Only for Ultimate
Frontend Development Foundations
6 Courses306 Tasks 4.6
track
Only for Ultimate
Mastering Data Visualization
5 Courses145 Tasks 4.6
track
Only for Ultimate
Machine Learning Mastery
6 Courses177 Tasks 4.4
track
Only for Ultimate
C++ Mastery
3 Courses70 Tasks 4.3
track
Only for Ultimate
Java Web
7 Courses278 Tasks 4.7
track
Only for Ultimate
Become a QA Engineer
5 Courses237 Tasks 4.6
track
Only for Ultimate
Video Production with Adobe
4 Courses125 Tasks 5.0
track
Only for Ultimate
UI/UX Design Tools
4 Courses162 Tasks 4.7
track
Only for Ultimate
Essential Office Skills
3 Courses75 Tasks 4.7
track
Only for Ultimate
Digital Marketing Essentials
6 Courses293 Tasks 4.4
track
Only for Ultimate
Complete Social Media Management
5 Courses206 Tasks 5.0
track
Only for Ultimate
Business AI Toolkit
3 Courses2 Projects50 Tasks 4.6
track
Only for Ultimate
No-Code Website Development
3 Courses180 Tasks 4.3
track
Only for Ultimate
Deep Learning Odyssey
5 Courses175 Tasks 4.4
Courses & Projects
Technologies
Filters
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
5 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 hours 32 chaptersIntermediate
17 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.
4 hours 24 chaptersAdvanced
3 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 hours 28 chaptersIntermediate
6 STUDYING NOW
course
Cluster Analysis
Gain a solid understanding of cluster analysis, a key unsupervised learning technique for uncovering patterns in unlabeled data. Explore the essentials of K-Means, Hierarchical Clustering, DBSCAN, and GMMs, and get hands-on experience with real datasets to build confidence in applying clustering to real-world problems.
4 hours 34 chaptersIntermediate
1 STUDYING NOW
course
Introduction to RNNs
Master Recurrent neural networks and their advanced variants like LSTMs and GRUs using PyTorch. Gain hands-on experience processing sequential data for practical applications. Apply these powerful models to tackle real-world challenges in time series forecasting and various Natural language processing tasks.
3 hours 22 chaptersIntermediate
project
Building a Book Recommendation System with Collaborative Filtering
Learn to build and evaluate a collaborative filtering recommender system using real-world user ratings data for personalized book recommendations.
1 hour 0 chapterAdvanced
MARKETING & SALES
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.
4 hours 29 chaptersIntermediate
3 STUDYING NOW
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
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
Exploring Heart Disease Patterns in Clinical Data
Explore real-world patient heart health data to uncover relationships between chest pain types, demographics, and heart disease prevalence using Python analytics.
1 hour 0 chapterBeginner
HEALTH CARE
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
6 STUDYING NOW
project
Predicting Potable Water Quality
Build a predictive model to identify potable water using chemical measurements, evaluating model performance and feature importance for decision support.
1 hour 0 chapterIntermediate
ENVIRONMENT
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
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.
3 hours 20 chaptersAdvanced
2 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
5 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 hours 32 chaptersIntermediate
17 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.
4 hours 24 chaptersAdvanced
3 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 hours 28 chaptersIntermediate
6 STUDYING NOW
course
Cluster Analysis
Gain a solid understanding of cluster analysis, a key unsupervised learning technique for uncovering patterns in unlabeled data. Explore the essentials of K-Means, Hierarchical Clustering, DBSCAN, and GMMs, and get hands-on experience with real datasets to build confidence in applying clustering to real-world problems.
4 hours 34 chaptersIntermediate
1 STUDYING NOW
course
Introduction to RNNs
Master Recurrent neural networks and their advanced variants like LSTMs and GRUs using PyTorch. Gain hands-on experience processing sequential data for practical applications. Apply these powerful models to tackle real-world challenges in time series forecasting and various Natural language processing tasks.
3 hours 22 chaptersIntermediate
project
Building a Book Recommendation System with Collaborative Filtering
Learn to build and evaluate a collaborative filtering recommender system using real-world user ratings data for personalized book recommendations.
1 hour 0 chapterAdvanced
MARKETING & SALES
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.
4 hours 29 chaptersIntermediate
3 STUDYING NOW
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
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
Exploring Heart Disease Patterns in Clinical Data
Explore real-world patient heart health data to uncover relationships between chest pain types, demographics, and heart disease prevalence using Python analytics.
1 hour 0 chapterBeginner
HEALTH CARE
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
6 STUDYING NOW
project
Predicting Potable Water Quality
Build a predictive model to identify potable water using chemical measurements, evaluating model performance and feature importance for decision support.
1 hour 0 chapterIntermediate
ENVIRONMENT
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
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.
3 hours 20 chaptersAdvanced
2 STUDYING NOW
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what you're looking for
