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Frontend Development Foundations

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Mastering Data Visualization

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Video Production with Adobe

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Essential Office Skills

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Business AI Toolkit

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Deep Learning Odyssey

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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.

cours

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.

cours

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.

cours

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.

cours

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!

projet

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.

cours

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.

cours

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.

cours

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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Parcours de carrière

parcours
lockSeulement pour Ultimate
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Web Development with C#

laptop7 Cours
list293 Tâches

Débutant

4.8
(2546)
parcours
lockSeulement pour Ultimate
track image

Python from Zero to Hero

laptop6 Cours
list195 Tâches

Débutant

4.7
(9126)
parcours
lockSeulement pour Ultimate
track image

SQL from Zero to Hero

laptop4 Cours
list115 Tâches

Débutant

4.7
(2772)
parcours
lockSeulement pour Ultimate
track image

С++ Essentials

laptop6 Cours
list101 Tâches

Débutant

4.4
(534)
parcours
lockSeulement pour Ultimate
track image

Game Development with Unity

laptop4 Cours
list143 Tâches

Débutant

4.6
(92)
parcours
lockSeulement pour Ultimate
track image

Become a React Developer

laptop4 Cours
list98 Tâches

Intermédiaire

4.7
(70)
parcours
lockSeulement pour Ultimate
track image

Excel Essentials

laptop3 Cours
list38 Tâches

Débutant

4.7
(374)
parcours
lockSeulement pour Ultimate
track image

Java Essentials

laptop7 Cours
list376 Tâches

Débutant

4.7
(220)
parcours
lockSeulement pour Ultimate
track image

Full Stack Web Development

laptop7 Cours
list345 Tâches

Débutant

4.7
(893)
parcours
lockSeulement pour Ultimate
track image

Frontend Development Foundations

laptop6 Cours
list308 Tâches

Débutant

4.7
(864)
parcours
lockSeulement pour Ultimate
track image

Mastering Data Visualization

laptop5 Cours
list146 Tâches

Intermédiaire

4.7
(602)
parcours
lockSeulement pour Ultimate
track image

Machine Learning Mastery

laptop5 Cours
list148 Tâches

Intermédiaire

4.6
(134)
parcours
lockSeulement pour Ultimate
track image

C++ Mastery

laptop3 Cours
list70 Tâches

Avancé

4.8
(17)
parcours
lockSeulement pour Ultimate
track image

Java Web

laptop7 Cours
list280 Tâches

Avancé

4.7
(3051)
parcours
lockSeulement pour Ultimate
track image

Become a QA Engineer

laptop5 Cours
list239 Tâches

Débutant

4.7
(750)
parcours
lockSeulement pour Ultimate
track image

Video Production with Adobe

laptop4 Cours
list125 Tâches

Débutant

5.0
(5)
parcours
lockSeulement pour Ultimate
track image

UI/UX Design Tools

laptop3 Cours
list119 Tâches

Débutant

4.9
(7)
parcours
lockSeulement pour Ultimate
track image

Essential Office Skills

laptop3 Cours
list75 Tâches

Débutant

4.8
(303)
parcours
lockSeulement pour Ultimate
track image

Digital Marketing Essentials

laptop5 Cours
list211 Tâches

Débutant

4.8
(6)
parcours
lockSeulement pour Ultimate
track image

Complete Social Media Management

laptop5 Cours
list206 Tâches

Débutant

5.0
(3)
parcours
lockSeulement pour Ultimate
track image

Business AI Toolkit

laptop3 Cours
pencil-with-line2 Projets
list49 Tâches

Débutant

4.7
(40)
parcours
lockSeulement pour Ultimate
track image

No-Code Website Development

laptop3 Cours
list180 Tâches

Débutant

4.0
(2)
parcours
lockSeulement pour Ultimate
track image

Deep Learning Odyssey

laptop4 Cours
list153 Tâches

Avancé

4.8
(21)
parcours
track image
For Ultimate

Seulement pour Ultimate

Web Development with C#

laptop7 Cours
list293 Tâches
4.8
parcours
track image
For Ultimate

Seulement pour Ultimate

Python from Zero to Hero

laptop6 Cours
list195 Tâches
4.7
parcours
track image
For Ultimate

Seulement pour Ultimate

SQL from Zero to Hero

laptop4 Cours
list115 Tâches
4.7
parcours
track image
For Ultimate

Seulement pour Ultimate

С++ Essentials

laptop6 Cours
list101 Tâches
4.4
parcours
track image
For Ultimate

Seulement pour Ultimate

Game Development with Unity

laptop4 Cours
list143 Tâches
4.6
parcours
track image
For Ultimate

Seulement pour Ultimate

Become a React Developer

laptop4 Cours
list98 Tâches
4.7
parcours
track image
For Ultimate

Seulement pour Ultimate

Excel Essentials

laptop3 Cours
list38 Tâches
4.7
parcours
track image
For Ultimate

Seulement pour Ultimate

Java Essentials

laptop7 Cours
list376 Tâches
4.7
parcours
track image
For Ultimate

Seulement pour Ultimate

Full Stack Web Development

laptop7 Cours
list345 Tâches
4.7
parcours
track image
For Ultimate

Seulement pour Ultimate

Frontend Development Foundations

laptop6 Cours
list308 Tâches
4.7
parcours
track image
For Ultimate

Seulement pour Ultimate

Mastering Data Visualization

laptop5 Cours
list146 Tâches
4.7
parcours
track image
For Ultimate

Seulement pour Ultimate

Machine Learning Mastery

laptop5 Cours
list148 Tâches
4.6
parcours
track image
For Ultimate

Seulement pour Ultimate

C++ Mastery

laptop3 Cours
list70 Tâches
4.8
parcours
track image
For Ultimate

Seulement pour Ultimate

Java Web

laptop7 Cours
list280 Tâches
4.7
parcours
track image
For Ultimate

Seulement pour Ultimate

Become a QA Engineer

laptop5 Cours
list239 Tâches
4.7
parcours
track image
For Ultimate

Seulement pour Ultimate

Video Production with Adobe

laptop4 Cours
list125 Tâches
5.0
parcours
track image
For Ultimate

Seulement pour Ultimate

UI/UX Design Tools

laptop3 Cours
list119 Tâches
4.9
parcours
track image
For Ultimate

Seulement pour Ultimate

Essential Office Skills

laptop3 Cours
list75 Tâches
4.8
parcours
track image
For Ultimate

Seulement pour Ultimate

Digital Marketing Essentials

laptop5 Cours
list211 Tâches
4.8
parcours
track image
For Ultimate

Seulement pour Ultimate

Complete Social Media Management

laptop5 Cours
list206 Tâches
5.0
parcours
track image
For Ultimate

Seulement pour Ultimate

Business AI Toolkit

laptop3 Cours
pencil-with-line2 Projets
list49 Tâches
4.7
parcours
track image
For Ultimate

Seulement pour Ultimate

No-Code Website Development

laptop3 Cours
list180 Tâches
4.0
parcours
track image
For Ultimate

Seulement pour Ultimate

Deep Learning Odyssey

laptop4 Cours
list153 Tâches
4.8
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Cours et projets

Technologies

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Filtres

projet

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.

cours

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.

cours

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.

cours

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.

cours

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!

projet

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.

cours

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.

cours

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.

cours

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.

projet

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.

cours

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.

cours

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.

cours

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.

cours

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!

projet

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.

cours

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.

cours

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.

cours

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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