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Cursussen en projecten

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Recognizing Handwritten Digits

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.

cursus

Introduction to Neural Networks

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.

cursus

ML Introduction with scikit-learn

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 – 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.

cursus

Introduction to NLP

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.

cursus

Classification with Python

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!

project

Logistic Regression Mastering

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.

cursus

Computer Vision Essentials

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.

cursus

Introduction to Reinforcement Learning

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.

cursus

PyTorch Essentials

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.
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Beroepen

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Web Development with C#

laptop7 Cursussen
list293 Taken

Beginner

4.8
(2546)
traject
lockAlleen voor Ultimate
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Python from Zero to Hero

laptop6 Cursussen
list195 Taken

Beginner

4.7
(9126)
traject
lockAlleen voor Ultimate
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SQL from Zero to Hero

laptop4 Cursussen
list115 Taken

Beginner

4.7
(2772)
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lockAlleen voor Ultimate
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С++ Essentials

laptop6 Cursussen
list101 Taken

Beginner

4.4
(534)
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lockAlleen voor Ultimate
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Game Development with Unity

laptop4 Cursussen
list143 Taken

Beginner

4.6
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Become a React Developer

laptop4 Cursussen
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Halfgevorderd

4.7
(70)
traject
lockAlleen voor Ultimate
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Excel Essentials

laptop3 Cursussen
list38 Taken

Beginner

4.7
(374)
traject
lockAlleen voor Ultimate
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Java Essentials

laptop7 Cursussen
list376 Taken

Beginner

4.7
(220)
traject
lockAlleen voor Ultimate
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Full Stack Web Development

laptop7 Cursussen
list345 Taken

Beginner

4.7
(893)
traject
lockAlleen voor Ultimate
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Frontend Development Foundations

laptop6 Cursussen
list308 Taken

Beginner

4.7
(864)
traject
lockAlleen voor Ultimate
track image

Mastering Data Visualization

laptop5 Cursussen
list146 Taken

Halfgevorderd

4.7
(602)
traject
lockAlleen voor Ultimate
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Machine Learning Mastery

laptop5 Cursussen
list148 Taken

Halfgevorderd

4.6
(134)
traject
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C++ Mastery

laptop3 Cursussen
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Gevorderd

4.8
(17)
traject
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Java Web

laptop7 Cursussen
list280 Taken

Gevorderd

4.7
(3051)
traject
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Become a QA Engineer

laptop5 Cursussen
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Beginner

4.7
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traject
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Video Production with Adobe

laptop4 Cursussen
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Beginner

5.0
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UI/UX Design Tools

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Beginner

4.9
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Essential Office Skills

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Beginner

4.8
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Digital Marketing Essentials

laptop5 Cursussen
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Beginner

4.8
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Complete Social Media Management

laptop5 Cursussen
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Beginner

5.0
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Business AI Toolkit

laptop3 Cursussen
pencil-with-line2 Projecten
list49 Taken

Beginner

4.7
(40)
traject
lockAlleen voor Ultimate
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No-Code Website Development

laptop3 Cursussen
list180 Taken

Beginner

4.0
(2)
traject
lockAlleen voor Ultimate
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Deep Learning Odyssey

laptop4 Cursussen
list153 Taken

Gevorderd

4.8
(21)
traject
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Web Development with C#

laptop7 Cursussen
list293 Taken
4.8
traject
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For Ultimate

Alleen voor Ultimate

Python from Zero to Hero

laptop6 Cursussen
list195 Taken
4.7
traject
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For Ultimate

Alleen voor Ultimate

SQL from Zero to Hero

laptop4 Cursussen
list115 Taken
4.7
traject
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С++ Essentials

laptop6 Cursussen
list101 Taken
4.4
traject
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Game Development with Unity

laptop4 Cursussen
list143 Taken
4.6
traject
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Become a React Developer

laptop4 Cursussen
list98 Taken
4.7
traject
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For Ultimate

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Excel Essentials

laptop3 Cursussen
list38 Taken
4.7
traject
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For Ultimate

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Java Essentials

laptop7 Cursussen
list376 Taken
4.7
traject
track image
For Ultimate

Alleen voor Ultimate

Full Stack Web Development

laptop7 Cursussen
list345 Taken
4.7
traject
track image
For Ultimate

Alleen voor Ultimate

Frontend Development Foundations

laptop6 Cursussen
list308 Taken
4.7
traject
track image
For Ultimate

Alleen voor Ultimate

Mastering Data Visualization

laptop5 Cursussen
list146 Taken
4.7
traject
track image
For Ultimate

Alleen voor Ultimate

Machine Learning Mastery

laptop5 Cursussen
list148 Taken
4.6
traject
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For Ultimate

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C++ Mastery

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4.8
traject
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Java Web

laptop7 Cursussen
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4.7
traject
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Become a QA Engineer

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4.7
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Video Production with Adobe

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5.0
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UI/UX Design Tools

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4.9
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Essential Office Skills

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4.8
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Digital Marketing Essentials

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4.8
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Complete Social Media Management

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5.0
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Business AI Toolkit

laptop3 Cursussen
pencil-with-line2 Projecten
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No-Code Website Development

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Deep Learning Odyssey

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project

Recognizing Handwritten Digits

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.

cursus

Introduction to Neural Networks

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.

cursus

ML Introduction with scikit-learn

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 – 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.

cursus

Introduction to NLP

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.

cursus

Classification with Python

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!

project

Logistic Regression Mastering

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.

cursus

Computer Vision Essentials

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.

cursus

Introduction to Reinforcement Learning

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.

cursus

PyTorch Essentials

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.

project

Recognizing Handwritten Digits

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.

cursus

Introduction to Neural Networks

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.

cursus

ML Introduction with scikit-learn

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 – 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.

cursus

Introduction to NLP

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.

cursus

Classification with Python

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!

project

Logistic Regression Mastering

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.

cursus

Computer Vision Essentials

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.

cursus

Introduction to Reinforcement Learning

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.

cursus

PyTorch Essentials

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.
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