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TEST TRACK 12
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Full Stack Web Development 2024
7 Courses386 TasksBeginner
4.5
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Become a React Developer 2024
4 Courses52 TasksIntermediate
4.8
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Mastering Data Visualization (2023)
5 Courses146 TasksIntermediate
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SQL from Zero to Hero 2023
7 Courses248 TasksBeginner
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Courses & Projects
course
Mastering SQL EXPLAIN and Query Planning
Dive deep into the world of SQL query optimization by mastering the EXPLAIN statement and understanding how query planners work. This course blends engaging theory with hands-on, real-world tasks to help you analyze, interpret, and optimize SQL queries using EXPLAIN and related tools.
2 hours
21 chaptersBeginner
course
Mastering scikit-learn API and Workflows
Master the scikit-learn library by learning its API, core abstractions, and engineering patterns. Focus on syntax, structure, and workflow to confidently build, compose, and inspect machine learning pipelines using scikit-learn.
2 hours 19 chaptersIntermediate
course
Mathematical Foundations of Neural Networks
Gain a rigorous mathematical understanding of neural networks as function approximators. Explore their linear-algebraic structure, approximation power, and the fundamental role of depth in expressivity—without implementation or training details.
2 hours 9 chaptersAdvanced
course
Mathematics for Data Science with Python
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 51 chaptersBeginner
project
Maze Generator and Pathfinder Algorithm
Build a complete terminal-based maze generator and solver in Python. Design and implement a complete maze system from scratch, covering both maze generation and pathfinding. Starting with grid representation and navigation rules, you will build a deterministic maze generator using depth-first search, define clear start and exit points, and then solve the maze using a breadth-first search pathfinder.
Only for Ultimate
1 hour 11 chaptersBeginner
1 STUDYING NOW
course
Mean Field Theory for Neural Networks
Explore the mathematical foundations of mean field theory as applied to neural networks in the large-width limit. Gain a rigorous understanding of distributional perspectives, training dynamics, and the theoretical implications for deep learning.
2 hours 9 chaptersAdvanced
course
Mermaid.js Diagrams with JavaScript
Create clear, text driven diagrams using Mermaid.js and JavaScript friendly workflows. Learn how to write and embed diagrams, work with multiple diagram types, and customise their appearance for real documentation and web projects.
1 hour 12 chaptersBeginner
course
Meta-Learning Fundamentals
A theory-first exploration of meta-learning, focusing on mathematical intuition, optimization dynamics, and learning theory. Understand how models learn to learn, the foundations of MAML, and the conceptual landscape of meta-learning methods.
2 hours 9 chaptersAdvanced
project
Mini Project: Build a Simple Calculator
Apply your Python basics to build a simple command-line calculator. Practice using variables, conditionals, loops, and functions in a real-world mini-project.
Only for Ultimate
1 hour 10 chaptersBeginner
project
Mini Project: Build a Simple Calculator in Python
Apply your foundational Python skills by building a simple calculator application. This hands-on mini-project will guide you through designing and implementing a command-line calculator that performs basic arithmetic operations. You'll reinforce your understanding of variables, user input, conditionals, and functions while practicing problem-solving and debugging.
Only for Ultimate
1 hour 2 chaptersBeginner
course
Model Calibration with Python
Master the principles and practical techniques for measuring, interpreting, and improving the probabilistic calibration of machine learning models. Learn to use reliability diagrams, calibration metrics, and modern calibration methods to ensure your models produce trustworthy probability estimates.
2 hours 15 chaptersIntermediate
project
MultipleFiles Test Project
Only for Ultimate
1 hour 1 chapterBeginner
project
Mushroom Edibility Classification
A hands-on, end-to-end data science project using Python to classify mushrooms as edible or poisonous based on their characteristics. This project guides you through data loading, cleaning, exploratory analysis, preprocessing, model building, and evaluation using the mushrooms.csv dataset.
Only for Ultimate
1 hour 5 chaptersBeginner
course
Neural Network Attention Mechanisms
A comprehensive, fully theoretical exploration of attention mechanisms in modern neural architectures. This course builds intuition, mathematical understanding, and conceptual clarity around attention, self-attention, multi-head attention, masking, and their role in transformers — without any programming or code.
2 hours 10 chaptersAdvanced
course
Neural Networks Compression Theory
A rigorous, mathematics-driven exploration of the theoretical foundations, methods, and limitations of neural network compression. This course focuses on intuition, formal reasoning, and the interplay between information theory and deep learning model design.
2 hours 9 chaptersAdvanced
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Unsure where
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Career tracks
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Only for UltimateTEST TRACK 12
1 Course1 Project0 TaskBeginner
4.0
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track
Only for UltimateFull Stack Web Development 2024
7 Courses386 TasksBeginner
4.5
(54)
track
Only for UltimateBecome a React Developer 2024
4 Courses52 TasksIntermediate
4.8
(8)
track
Only for UltimateMastering Data Visualization (2023)
5 Courses146 TasksIntermediate
4.1
(11)
track
Only for UltimateSQL from Zero to Hero 2023
7 Courses248 TasksBeginner
4.6
(114)
track
Only for Ultimate
TEST TRACK 12
1 Course1 Project0 Task 4.0
track
Only for Ultimate
Full Stack Web Development 2024
7 Courses386 Tasks 4.5
track
Only for Ultimate
Become a React Developer 2024
4 Courses52 Tasks 4.8
track
Only for Ultimate
Mastering Data Visualization (2023)
5 Courses146 Tasks 4.1
track
Only for Ultimate
SQL from Zero to Hero 2023
7 Courses248 Tasks 4.6
Courses & Projects
Technologies
course
Mastering SQL EXPLAIN and Query Planning
Dive deep into the world of SQL query optimization by mastering the EXPLAIN statement and understanding how query planners work. This course blends engaging theory with hands-on, real-world tasks to help you analyze, interpret, and optimize SQL queries using EXPLAIN and related tools.
2 hours 21 chaptersBeginner
course
Mastering scikit-learn API and Workflows
Master the scikit-learn library by learning its API, core abstractions, and engineering patterns. Focus on syntax, structure, and workflow to confidently build, compose, and inspect machine learning pipelines using scikit-learn.
2 hours 19 chaptersIntermediate
course
Mathematical Foundations of Neural Networks
Gain a rigorous mathematical understanding of neural networks as function approximators. Explore their linear-algebraic structure, approximation power, and the fundamental role of depth in expressivity—without implementation or training details.
2 hours 9 chaptersAdvanced
course
Mathematics for Data Science with Python
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 51 chaptersBeginner
project
Maze Generator and Pathfinder Algorithm
Build a complete terminal-based maze generator and solver in Python. Design and implement a complete maze system from scratch, covering both maze generation and pathfinding. Starting with grid representation and navigation rules, you will build a deterministic maze generator using depth-first search, define clear start and exit points, and then solve the maze using a breadth-first search pathfinder.
Only for Ultimate
1 hour 11 chaptersBeginner
1 STUDYING NOW
course
Mean Field Theory for Neural Networks
Explore the mathematical foundations of mean field theory as applied to neural networks in the large-width limit. Gain a rigorous understanding of distributional perspectives, training dynamics, and the theoretical implications for deep learning.
2 hours 9 chaptersAdvanced
course
Mermaid.js Diagrams with JavaScript
Create clear, text driven diagrams using Mermaid.js and JavaScript friendly workflows. Learn how to write and embed diagrams, work with multiple diagram types, and customise their appearance for real documentation and web projects.
1 hour 12 chaptersBeginner
course
Meta-Learning Fundamentals
A theory-first exploration of meta-learning, focusing on mathematical intuition, optimization dynamics, and learning theory. Understand how models learn to learn, the foundations of MAML, and the conceptual landscape of meta-learning methods.
2 hours 9 chaptersAdvanced
project
Mini Project: Build a Simple Calculator
Apply your Python basics to build a simple command-line calculator. Practice using variables, conditionals, loops, and functions in a real-world mini-project.
Only for Ultimate
1 hour 10 chaptersBeginner
project
Mini Project: Build a Simple Calculator in Python
Apply your foundational Python skills by building a simple calculator application. This hands-on mini-project will guide you through designing and implementing a command-line calculator that performs basic arithmetic operations. You'll reinforce your understanding of variables, user input, conditionals, and functions while practicing problem-solving and debugging.
Only for Ultimate
1 hour 2 chaptersBeginner
course
Model Calibration with Python
Master the principles and practical techniques for measuring, interpreting, and improving the probabilistic calibration of machine learning models. Learn to use reliability diagrams, calibration metrics, and modern calibration methods to ensure your models produce trustworthy probability estimates.
2 hours 15 chaptersIntermediate
project
MultipleFiles Test Project
Only for Ultimate
1 hour 1 chapterBeginner
project
Mushroom Edibility Classification
A hands-on, end-to-end data science project using Python to classify mushrooms as edible or poisonous based on their characteristics. This project guides you through data loading, cleaning, exploratory analysis, preprocessing, model building, and evaluation using the mushrooms.csv dataset.
Only for Ultimate
1 hour 5 chaptersBeginner
course
Neural Network Attention Mechanisms
A comprehensive, fully theoretical exploration of attention mechanisms in modern neural architectures. This course builds intuition, mathematical understanding, and conceptual clarity around attention, self-attention, multi-head attention, masking, and their role in transformers — without any programming or code.
2 hours 10 chaptersAdvanced
course
Neural Networks Compression Theory
A rigorous, mathematics-driven exploration of the theoretical foundations, methods, and limitations of neural network compression. This course focuses on intuition, formal reasoning, and the interplay between information theory and deep learning model design.
2 hours 9 chaptersAdvanced
course
Mastering SQL EXPLAIN and Query Planning
Dive deep into the world of SQL query optimization by mastering the EXPLAIN statement and understanding how query planners work. This course blends engaging theory with hands-on, real-world tasks to help you analyze, interpret, and optimize SQL queries using EXPLAIN and related tools.
2 hours 21 chaptersBeginner
course
Mastering scikit-learn API and Workflows
Master the scikit-learn library by learning its API, core abstractions, and engineering patterns. Focus on syntax, structure, and workflow to confidently build, compose, and inspect machine learning pipelines using scikit-learn.
2 hours 19 chaptersIntermediate
course
Mathematical Foundations of Neural Networks
Gain a rigorous mathematical understanding of neural networks as function approximators. Explore their linear-algebraic structure, approximation power, and the fundamental role of depth in expressivity—without implementation or training details.
2 hours 9 chaptersAdvanced
course
Mathematics for Data Science with Python
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 51 chaptersBeginner
project
Maze Generator and Pathfinder Algorithm
Build a complete terminal-based maze generator and solver in Python. Design and implement a complete maze system from scratch, covering both maze generation and pathfinding. Starting with grid representation and navigation rules, you will build a deterministic maze generator using depth-first search, define clear start and exit points, and then solve the maze using a breadth-first search pathfinder.
Only for Ultimate
1 hour 11 chaptersBeginner
1 STUDYING NOW
course
Mean Field Theory for Neural Networks
Explore the mathematical foundations of mean field theory as applied to neural networks in the large-width limit. Gain a rigorous understanding of distributional perspectives, training dynamics, and the theoretical implications for deep learning.
2 hours 9 chaptersAdvanced
course
Mermaid.js Diagrams with JavaScript
Create clear, text driven diagrams using Mermaid.js and JavaScript friendly workflows. Learn how to write and embed diagrams, work with multiple diagram types, and customise their appearance for real documentation and web projects.
1 hour 12 chaptersBeginner
course
Meta-Learning Fundamentals
A theory-first exploration of meta-learning, focusing on mathematical intuition, optimization dynamics, and learning theory. Understand how models learn to learn, the foundations of MAML, and the conceptual landscape of meta-learning methods.
2 hours 9 chaptersAdvanced
project
Mini Project: Build a Simple Calculator
Apply your Python basics to build a simple command-line calculator. Practice using variables, conditionals, loops, and functions in a real-world mini-project.
Only for Ultimate
1 hour 10 chaptersBeginner
project
Mini Project: Build a Simple Calculator in Python
Apply your foundational Python skills by building a simple calculator application. This hands-on mini-project will guide you through designing and implementing a command-line calculator that performs basic arithmetic operations. You'll reinforce your understanding of variables, user input, conditionals, and functions while practicing problem-solving and debugging.
Only for Ultimate
1 hour 2 chaptersBeginner
course
Model Calibration with Python
Master the principles and practical techniques for measuring, interpreting, and improving the probabilistic calibration of machine learning models. Learn to use reliability diagrams, calibration metrics, and modern calibration methods to ensure your models produce trustworthy probability estimates.
2 hours 15 chaptersIntermediate
project
MultipleFiles Test Project
Only for Ultimate
1 hour 1 chapterBeginner
project
Mushroom Edibility Classification
A hands-on, end-to-end data science project using Python to classify mushrooms as edible or poisonous based on their characteristics. This project guides you through data loading, cleaning, exploratory analysis, preprocessing, model building, and evaluation using the mushrooms.csv dataset.
Only for Ultimate
1 hour 5 chaptersBeginner
course
Neural Network Attention Mechanisms
A comprehensive, fully theoretical exploration of attention mechanisms in modern neural architectures. This course builds intuition, mathematical understanding, and conceptual clarity around attention, self-attention, multi-head attention, masking, and their role in transformers — without any programming or code.
2 hours 10 chaptersAdvanced
course
Neural Networks Compression Theory
A rigorous, mathematics-driven exploration of the theoretical foundations, methods, and limitations of neural network compression. This course focuses on intuition, formal reasoning, and the interplay between information theory and deep learning model design.
2 hours 9 chaptersAdvanced
Sorry... We can't find
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