Alle kurser & projekter

TEST TRACK 12

Begynder

Full Stack Web Development

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Become a React Developer

Mellemniveau

Mastering Data Visualization

Mellemniveau

SQL from Zero to Hero

Begynder

С++ Essentials

Begynder

Python from Zero to Hero

Begynder

Machine Learning Mastery

Mellemniveau

Python Beyond Intermediate

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Java Essentials

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Game Development with Unity

Begynder

Become a Django Developer

Avanceret

Flask for Dummies

Mellemniveau

Frontend Development Foundations

Begynder

Web Developer from Zero to Hero

Begynder

Preparation for Data Science

Mellemniveau

Deep Learning Odyssey

Avanceret

Web Development with C#

Begynder

TEST E2E TRACK BEGINNER

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Test Track

Skilled Python BackEnd Developer

Avanceret

Test Recalculate

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Excel Essentials

Begynder

Full-Stack .NET Developer Journey

Mellemniveau

Full-Stack .NET Developer Journey

Mellemniveau

Test track with rating

Avanceret

TEST TEST TRACK

Begynder

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.

Data Analyst Foundation

Begynder

C++ Mastery

Avanceret

Java Web

Avanceret

Become a QA Engineer

Begynder

Video Production with Adobe

Begynder

UI/UX Design Tools

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Test image upload track

Begynder

Essential Office Skills

Begynder

GitHub from Zero to Hero

Begynder

No-Code Website Development

Begynder

C Programming & Low-Level Development

Begynder

testes

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Test translation track

Mellemniveau

Test CMS Track

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Python for Data Analysis

Mellemniveau

Digital Marketing Essentials

Begynder

Complete Social Media Management

Begynder

Business AI Toolkit

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Kurser & projekter

Recognizing Handwritten Digits

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.

Identifying Fake News

In this project, we are going to classify news and identify the fake ones.

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.

Association Rule Mining

The Association Rule Mining course offers a comprehensive exploration of the principles and methodologies behind uncovering meaningful associations in large datasets. From understanding the fundamental measures like support, confidence, and lift to employing advanced algorithms such as Apriori and FP-Growth, you will develop the skills necessary to extract valuable insights from transactional data. Through practical applications in diverse domains like retail, healthcare, and finance, participants learn to drive data-driven decision-making, optimize business processes, and uncover hidden opportunities for growth and innovation.

Introduction to NLP

Explore the fundamentals of Natural Language Processing (NLP) by learning essential text preprocessing techniques and methods for representing text data. Gain practical experience with the tools used to clean, analyze, and interpret textual information. Develop the skills needed to transform raw language into structured insights, laying a strong foundation for advanced applications in artificial intelligence and machine learning.

Image Synthesis Through Generative Networks

Discover the artistry behind image generation using generative networks in our course. From theory to practice, delve into the world of generative networks, unlocking the secrets to crafting captivating images from data.

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!

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.

Data Anomaly Detection

Anomaly detection is integral to any data scientist's work: high-quality, cleaned, and well-prepared data is the key to success for almost any machine learning problem.

Ensemble Learning

Ensemble Learning is an advanced machine learning technique that combines multiple models to improve overall predictive performance and decision-making when solving real-life tasks.

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.

Logistic Regression Mastering

In this project, we are going to understand the career tracks of Data Scientists.

Data Science Interview Challenge

Ready to try your hand at data science? This course is designed to challenge your existing knowledge and hands-on skills, ensuring you are fully prepared for any twists and turns a data science interview might present. We'll push your understanding of critical topics to the limit, assessing your readiness for real-life scenarios.

Introduction to Big Data with Apache Spark in Python

This course will help those who want to get some of Big Data basics, including different types of distributed computings and such programming paradigm as MapReduce. Also, main part of the course will be devoted to such framework as Apache Spark and it's high-level API PySpark using Python programming language.

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TEST TRACK 12

Begynder

Full Stack Web Development

Begynder

Become a React Developer

Mellemniveau

Mastering Data Visualization

Mellemniveau

SQL from Zero to Hero

Begynder

С++ Essentials

Begynder

Python from Zero to Hero

Begynder

Machine Learning Mastery

Mellemniveau

Python Beyond Intermediate

Begynder

Java Essentials

Begynder

Game Development with Unity

Begynder

Become a Django Developer

Avanceret

Flask for Dummies

Mellemniveau

Frontend Development Foundations

Begynder

Web Developer from Zero to Hero

Begynder

Preparation for Data Science

Mellemniveau

Deep Learning Odyssey

Avanceret

Web Development with C#

Begynder

TEST E2E TRACK BEGINNER

Begynder

Test Track

Skilled Python BackEnd Developer

Avanceret

Test Recalculate

Begynder

Excel Essentials

Begynder

Full-Stack .NET Developer Journey

Mellemniveau

Full-Stack .NET Developer Journey

Mellemniveau

Test track with rating

Avanceret

TEST TEST TRACK

Begynder

Data Analyst Foundation

Begynder

C++ Mastery

Avanceret

Java Web

Avanceret

Become a QA Engineer

Begynder

Video Production with Adobe

Begynder

UI/UX Design Tools

Begynder

Test image upload track

Begynder

Essential Office Skills

Begynder

GitHub from Zero to Hero

Begynder

No-Code Website Development

Begynder

C Programming & Low-Level Development

Begynder

testes

Begynder

Test translation track

Mellemniveau

Test CMS Track

Begynder

Python for Data Analysis

Mellemniveau

Digital Marketing Essentials

Begynder

Complete Social Media Management

Begynder

Business AI Toolkit

Begynder

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TEST TRACK 12

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Full Stack Web Development

345 Opgaver

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Kun for Ultimate

Become a React Developer

98 Opgaver

4.9

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Mastering Data Visualization

145 Opgaver

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Kun for Ultimate

SQL from Zero to Hero

115 Opgaver

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Kun for Ultimate

С++ Essentials

101 Opgaver

4.4

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Python from Zero to Hero

195 Opgaver

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Machine Learning Mastery

157 Opgaver

4.9

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Python Beyond Intermediate

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Java Essentials

376 Opgaver

4.3

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Game Development with Unity

143 Opgaver

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Become a Django Developer

180 Opgaver

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Flask for Dummies

165 Opgaver

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Frontend Development Foundations

308 Opgaver

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Web Developer from Zero to Hero

252 Opgaver

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Preparation for Data Science

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Deep Learning Odyssey

162 Opgaver

5.0

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Web Development with C#

293 Opgaver

4.8

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TEST E2E TRACK BEGINNER

1 Projekt

new

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Test Track

2 Kurser

21 Opgaver

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Skilled Python BackEnd Developer

139 Opgaver

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Test Recalculate

2 Kurser

new

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Excel Essentials

81 Opgaver

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Full-Stack .NET Developer Journey

13 Kurser

555 Opgaver

4.8

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Full-Stack .NET Developer Journey

13 Kurser

555 Opgaver

4.8

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Kun for Ultimate

Test track with rating

1 Kursus

4.0

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TEST TEST TRACK

new

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Data Analyst Foundation

180 Opgaver

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C++ Mastery

70 Opgaver

new

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Java Web

282 Opgaver

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Become a QA Engineer

239 Opgaver

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Video Production with Adobe

125 Opgaver

new

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UI/UX Design Tools

119 Opgaver

new

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Test image upload track

1 Kursus

15 Opgaver

new

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Essential Office Skills

75 Opgaver

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GitHub from Zero to Hero

41 Opgaver

new

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No-Code Website Development

180 Opgaver

new

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C Programming & Low-Level Development

61 Opgaver

new

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testes

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Test translation track

36 Opgaver

new

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Test CMS Track

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Python for Data Analysis

134 Opgaver

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Digital Marketing Essentials

211 Opgaver

new

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Complete Social Media Management