Alle Kurse und Projekte

TEST TRACK 12

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Full Stack Web Development

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Become a React Developer

Mittelstufe

Mastering Data Visualization

Mittelstufe

SQL from Zero to Hero

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С++ Essentials

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Python from Zero to Hero

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Machine Learning Mastery

Mittelstufe

Python Beyond Intermediate

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Java Essentials

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Game Development with Unity

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Become a Django Developer

Fortgeschritten

Flask for Dummies

Mittelstufe

Frontend Development Foundations

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Web Developer from Zero to Hero

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Preparation for Data Science

Mittelstufe

Deep Learning Odyssey

Fortgeschritten

Web Development with C#

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TEST E2E TRACK BEGINNER

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Test Track

Skilled Python BackEnd Developer

Fortgeschritten

Test Recalculate

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Excel Essentials

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Full-Stack .NET Developer Journey

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Full-Stack .NET Developer Journey

Mittelstufe

Test track with rating

Fortgeschritten

TEST TEST TRACK

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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

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C++ Mastery

Fortgeschritten

Java Web

Fortgeschritten

Become a QA Engineer

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Video Production with Adobe

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UI/UX Design Tools

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Test image upload track

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Essential Office Skills

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GitHub from Zero to Hero

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No-Code Website Development

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C Programming & Low-Level Development

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testes

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Test translation track

Mittelstufe

Test CMS Track

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Python for Data Analysis

Mittelstufe

Digital Marketing Essentials

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Complete Social Media Management

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Business AI Toolkit

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Kurse und Projekte

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

Anfänger

Full Stack Web Development

Anfänger

Become a React Developer

Mittelstufe

Mastering Data Visualization

Mittelstufe

SQL from Zero to Hero

Anfänger

С++ Essentials

Anfänger

Python from Zero to Hero

Anfänger

Machine Learning Mastery

Mittelstufe

Python Beyond Intermediate

Anfänger

Java Essentials

Anfänger

Game Development with Unity

Anfänger

Become a Django Developer

Fortgeschritten

Flask for Dummies

Mittelstufe

Frontend Development Foundations

Anfänger

Web Developer from Zero to Hero

Anfänger

Preparation for Data Science

Mittelstufe

Deep Learning Odyssey

Fortgeschritten

Web Development with C#

Anfänger

TEST E2E TRACK BEGINNER

Anfänger

Test Track

Skilled Python BackEnd Developer

Fortgeschritten

Test Recalculate

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Excel Essentials

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Full-Stack .NET Developer Journey

Mittelstufe

Full-Stack .NET Developer Journey

Mittelstufe

Test track with rating

Fortgeschritten

TEST TEST TRACK

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Data Analyst Foundation

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C++ Mastery

Fortgeschritten

Java Web

Fortgeschritten

Become a QA Engineer

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Video Production with Adobe

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UI/UX Design Tools

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Test image upload track

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Essential Office Skills

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GitHub from Zero to Hero

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No-Code Website Development

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C Programming & Low-Level Development

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testes

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Test translation track

Mittelstufe

Test CMS Track

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Python for Data Analysis

Mittelstufe

Digital Marketing Essentials

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Complete Social Media Management

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Business AI Toolkit

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Spur

Nur für Ultimate

TEST TRACK 12

Spur

Nur für Ultimate

Full Stack Web Development

345 Aufgaben

Spur

Nur für Ultimate

Become a React Developer

98 Aufgaben

4.9

Spur

Nur für Ultimate

Mastering Data Visualization

145 Aufgaben

Spur

Nur für Ultimate

SQL from Zero to Hero

115 Aufgaben

Spur

Nur für Ultimate

С++ Essentials

101 Aufgaben

4.4

Spur

Nur für Ultimate

Python from Zero to Hero

195 Aufgaben

Spur

Nur für Ultimate

Machine Learning Mastery

157 Aufgaben

4.9

Spur

Nur für Ultimate

Python Beyond Intermediate

Spur

Nur für Ultimate

Java Essentials

376 Aufgaben

4.3

Spur

Nur für Ultimate

Game Development with Unity

143 Aufgaben

Spur

Nur für Ultimate

Become a Django Developer

180 Aufgaben

Spur

Nur für Ultimate

Flask for Dummies

165 Aufgaben

Spur

Nur für Ultimate

Frontend Development Foundations

308 Aufgaben

Spur

Nur für Ultimate

Web Developer from Zero to Hero

252 Aufgaben

Spur

Nur für Ultimate

Preparation for Data Science

Spur

Nur für Ultimate

Deep Learning Odyssey

162 Aufgaben

5.0

Spur

Nur für Ultimate

Web Development with C#

293 Aufgaben

4.8

Spur

Nur für Ultimate

TEST E2E TRACK BEGINNER

1 Projekt

new

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Test Track

2 Kurse

21 Aufgaben

Spur

Nur für Ultimate

Skilled Python BackEnd Developer

139 Aufgaben

Spur

Nur für Ultimate

Test Recalculate

2 Kurse

new

Spur

Nur für Ultimate

Excel Essentials

81 Aufgaben

Spur

Nur für Ultimate

Full-Stack .NET Developer Journey

13 Kurse

555 Aufgaben

4.8

Spur

Nur für Ultimate

Full-Stack .NET Developer Journey

13 Kurse

555 Aufgaben

4.8

Spur

Nur für Ultimate

Test track with rating

1 Kurs

4.0

Spur

Nur für Ultimate

TEST TEST TRACK

new

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Nur für Ultimate

Data Analyst Foundation

180 Aufgaben

Spur

Nur für Ultimate

C++ Mastery

70 Aufgaben

new

Spur

Nur für Ultimate

Java Web

282 Aufgaben

Spur

Nur für Ultimate

Become a QA Engineer

239 Aufgaben

Spur

Nur für Ultimate

Video Production with Adobe

125 Aufgaben

new

Spur

Nur für Ultimate

UI/UX Design Tools

119 Aufgaben

new

Spur

Nur für Ultimate

Test image upload track

1 Kurs

15 Aufgaben

new

Spur

Nur für Ultimate

Essential Office Skills

75 Aufgaben

Spur

Nur für Ultimate

GitHub from Zero to Hero

41 Aufgaben

new

Spur

Nur für Ultimate

No-Code Website Development

180 Aufgaben

new

Spur

Nur für Ultimate

C Programming & Low-Level Development

61 Aufgaben

new

Spur

Nur für Ultimate

testes

Spur

Nur für Ultimate

Test translation track

36 Aufgaben

new

Spur

Nur für Ultimate

Test CMS Track

Spur

Nur für Ultimate

Python for Data Analysis

134 Aufgaben

Spur

Nur für Ultimate

Digital Marketing Essentials

211 Aufgaben

new

Spur

Nur für Ultimate

Complete Social Media Management