Alla kurser & projekt

TEST TRACK 12

Nybörjare

Full Stack Web Development

Nybörjare

Become a React Developer

Medelnivå

Mastering Data Visualization

Medelnivå

SQL from Zero to Hero

Nybörjare

С++ Essentials

Nybörjare

Python from Zero to Hero

Nybörjare

Machine Learning Mastery

Medelnivå

Python Beyond Intermediate

Nybörjare

Java Essentials

Nybörjare

Game Development with Unity

Nybörjare

Become a Django Developer

Avancerad

Flask for Dummies

Medelnivå

Frontend Development Foundations

Nybörjare

Web Developer from Zero to Hero

Nybörjare

Preparation for Data Science

Medelnivå

Deep Learning Odyssey

Avancerad

Web Development with C#

Nybörjare

TEST E2E TRACK BEGINNER

Nybörjare

Test Track

Skilled Python BackEnd Developer

Avancerad

Test Recalculate

Nybörjare

Excel Essentials

Nybörjare

Full-Stack .NET Developer Journey

Medelnivå

Full-Stack .NET Developer Journey

Medelnivå

Test track with rating

Avancerad

TEST TEST TRACK

Nybörjare

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

Nybörjare

C++ Mastery

Avancerad

Java Web

Avancerad

Become a QA Engineer

Nybörjare

Video Production with Adobe

Nybörjare

UI/UX Design Tools

Nybörjare

Test image upload track

Nybörjare

Essential Office Skills

Nybörjare

GitHub from Zero to Hero

Nybörjare

No-Code Website Development

Nybörjare

C Programming & Low-Level Development

Nybörjare

testes

Nybörjare

Test translation track

Medelnivå

Test CMS Track

Nybörjare

Python for Data Analysis

Medelnivå

Digital Marketing Essentials

Nybörjare

Complete Social Media Management

Nybörjare

Business AI Toolkit

Nybörjare

Kurser & projekt

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

Nybörjare

Full Stack Web Development

Nybörjare

Become a React Developer

Medelnivå

Mastering Data Visualization

Medelnivå

SQL from Zero to Hero

Nybörjare

С++ Essentials

Nybörjare

Python from Zero to Hero

Nybörjare

Machine Learning Mastery

Medelnivå

Python Beyond Intermediate

Nybörjare

Java Essentials

Nybörjare

Game Development with Unity

Nybörjare

Become a Django Developer

Avancerad

Flask for Dummies

Medelnivå

Frontend Development Foundations

Nybörjare

Web Developer from Zero to Hero

Nybörjare

Preparation for Data Science

Medelnivå

Deep Learning Odyssey

Avancerad

Web Development with C#

Nybörjare

TEST E2E TRACK BEGINNER

Nybörjare

Test Track

Skilled Python BackEnd Developer

Avancerad

Test Recalculate

Nybörjare

Excel Essentials

Nybörjare

Full-Stack .NET Developer Journey

Medelnivå

Full-Stack .NET Developer Journey

Medelnivå

Test track with rating

Avancerad

TEST TEST TRACK

Nybörjare

Data Analyst Foundation

Nybörjare

C++ Mastery

Avancerad

Java Web

Avancerad

Become a QA Engineer

Nybörjare

Video Production with Adobe

Nybörjare

UI/UX Design Tools

Nybörjare

Test image upload track

Nybörjare

Essential Office Skills

Nybörjare

GitHub from Zero to Hero

Nybörjare

No-Code Website Development

Nybörjare

C Programming & Low-Level Development

Nybörjare

testes

Nybörjare

Test translation track

Medelnivå

Test CMS Track

Nybörjare

Python for Data Analysis

Medelnivå

Digital Marketing Essentials

Nybörjare

Complete Social Media Management

Nybörjare

Business AI Toolkit

Nybörjare

spår

Endast för Ultimate

TEST TRACK 12

spår

Endast för Ultimate

Full Stack Web Development

345 Uppgifter

spår

Endast för Ultimate

Become a React Developer

98 Uppgifter

4.9

spår

Endast för Ultimate

Mastering Data Visualization

145 Uppgifter

spår

Endast för Ultimate

SQL from Zero to Hero

115 Uppgifter

spår

Endast för Ultimate

С++ Essentials

101 Uppgifter

4.4

spår

Endast för Ultimate

Python from Zero to Hero

195 Uppgifter

spår

Endast för Ultimate

Machine Learning Mastery

157 Uppgifter

4.9

spår

Endast för Ultimate

Python Beyond Intermediate

spår

Endast för Ultimate

Java Essentials

376 Uppgifter

4.3

spår

Endast för Ultimate

Game Development with Unity

143 Uppgifter

spår

Endast för Ultimate

Become a Django Developer

180 Uppgifter

spår

Endast för Ultimate

Flask for Dummies

165 Uppgifter

spår

Endast för Ultimate

Frontend Development Foundations

308 Uppgifter

spår

Endast för Ultimate

Web Developer from Zero to Hero

252 Uppgifter

spår

Endast för Ultimate

Preparation for Data Science

spår

Endast för Ultimate

Deep Learning Odyssey

162 Uppgifter

5.0

spår

Endast för Ultimate

Web Development with C#

293 Uppgifter

4.8

spår

Endast för Ultimate

TEST E2E TRACK BEGINNER

1 Projekt

new

spår

Endast för Ultimate

Test Track

2 Kurser

21 Uppgifter

spår

Endast för Ultimate

Skilled Python BackEnd Developer

139 Uppgifter

spår

Endast för Ultimate

Test Recalculate

2 Kurser

new

spår

Endast för Ultimate

Excel Essentials

81 Uppgifter

spår

Endast för Ultimate

Full-Stack .NET Developer Journey

13 Kurser

555 Uppgifter

4.8

spår

Endast för Ultimate

Full-Stack .NET Developer Journey

13 Kurser

555 Uppgifter

4.8

spår

Endast för Ultimate

Test track with rating

1 Kurs

4.0

spår

Endast för Ultimate

TEST TEST TRACK

new

spår

Endast för Ultimate

Data Analyst Foundation

180 Uppgifter

spår

Endast för Ultimate

C++ Mastery

70 Uppgifter

new

spår

Endast för Ultimate

Java Web

282 Uppgifter

spår

Endast för Ultimate

Become a QA Engineer

239 Uppgifter

spår

Endast för Ultimate

Video Production with Adobe

125 Uppgifter

new

spår

Endast för Ultimate

UI/UX Design Tools

119 Uppgifter

new

spår

Endast för Ultimate

Test image upload track

1 Kurs

15 Uppgifter

new

spår

Endast för Ultimate

Essential Office Skills

75 Uppgifter

spår

Endast för Ultimate

GitHub from Zero to Hero

41 Uppgifter

new

spår

Endast för Ultimate

No-Code Website Development

180 Uppgifter

new

spår

Endast för Ultimate

C Programming & Low-Level Development

61 Uppgifter

new

spår

Endast för Ultimate

testes

spår

Endast för Ultimate

Test translation track

36 Uppgifter

new

spår

Endast för Ultimate

Test CMS Track

spår

Endast för Ultimate

Python for Data Analysis

134 Uppgifter

spår

Endast för Ultimate

Digital Marketing Essentials

211 Uppgifter

new

spår

Endast för Ultimate

Complete Social Media Management