Projekte

• MittelSchwierigkeitsgrad
• 4.2+
• 521 Wiederholungen

Help a fast food chain save money and place more accurate orders by building a model to predict food sales.

• ExperteSchwierigkeitsgrad
• 4.4+
• 685 Wiederholungen

Use logistic regression to determine which treatment procedure is more effective for kidney stone removal.

• BasicSchwierigkeitsgrad
• 4.4+
• 296 Wiederholungen

Using OpenAI API for text translation, grammar checking, and pronunciation feedback

• MittelSchwierigkeitsgrad
• 4.3+
• 481 Wiederholungen

Classify food images using Hugging Face models, automatically recognizing and categorizing food items.

• MittelSchwierigkeitsgrad
• 4.6+
• 268 Wiederholungen

Step into a data scientists role and learn how to make product decisions with A/B testing in Python!

• ExperteSchwierigkeitsgrad
• 4.3+
• 446 Wiederholungen

Train a simple reinforcement learning agent in stock trading simulation.

• ExperteSchwierigkeitsgrad
• 4.2+
• 748 Wiederholungen

Use deep learning to automate the classification of service desk tickets.

• MittelSchwierigkeitsgrad
• 4.4+
• 940 Wiederholungen

Analyze subscription data for a SaaS company to identify what drives customer subscription renewals.

• MittelSchwierigkeitsgrad
• 4.2+
• 1.067 Wiederholungen

Building an image processing pipeline for data augmentation.

• MittelSchwierigkeitsgrad
• 4.4+
• 383 Wiederholungen

Build a regression model for a DVD rental firm to predict rental duration. Evaluate models to recommend the best one.

• BasicSchwierigkeitsgrad
• 4.3+
• 322 Wiederholungen

Build interactive stock charts with Plotly and uncover financial trends in the fast food industry.

• BasicSchwierigkeitsgrad
• 4.3+
• 533 Wiederholungen

Join a leading HR consultancy to use regular expressions and data preprocessing to find tech job candidates from thousands of resumes.

• ExperteSchwierigkeitsgrad
• 4.3+
• 307 Wiederholungen

Detect pneumonia on X-ray images by fine-tuning a pre-trained CNN.

• BasicSchwierigkeitsgrad
• 4.3+
• 567 Wiederholungen

Use R to make art and create imaginary flowers inspired by nature.

• ExperteSchwierigkeitsgrad
• 4.4+
• 372 Wiederholungen

Explore habitat data using factor and survival analysis tools.

• BasicSchwierigkeitsgrad
• 4.5+
• 286 Wiederholungen

Analyze data about electronic vehicle charging behavior to better use shared charging stations.

• MittelSchwierigkeitsgrad
• 4.4+
• 654 Wiederholungen

Leverage machine learning algorithms and models for marketing analytics tasks in a streaming platform.

• MittelSchwierigkeitsgrad
• 4.3+
• 668 Wiederholungen

Reanalyze the data behind one of the most important discoveries of modern medicine: handwashing.

• BasicSchwierigkeitsgrad
• 4.5+
• 801 Wiederholungen

Use SQL to analyze a database containing information about Transport for London journeys over 12 years!

• ExperteSchwierigkeitsgrad
• 4.5+
• 355 Wiederholungen

Enhancing Transportation Safety through Traffic Sign Detection

• MittelSchwierigkeitsgrad
• 4.4+
• 238 Wiederholungen

Build an AI-powered airline chat assistant to generate custom responses and identify user intent.

• MittelSchwierigkeitsgrad
• 4.3+
• 215 Wiederholungen

Dive into the world of banking transactions to uncover hidden anomalies and protect customer confidence. Ready to take on the challenge?

• MittelSchwierigkeitsgrad
• 4.3+
• 471 Wiederholungen

Analyze grocery store data to identify shopping patterns and preferences.

• MittelSchwierigkeitsgrad
• 4.2+
• 471 Wiederholungen

Analyze CO2 emissions across geographical regions and fuel sources to understand environmental impacts in the energy sector.

• MittelSchwierigkeitsgrad
• 4.1+
• 391 Wiederholungen

Examine the relationship between heart rate and heart disease using multiple logistic regression.

• BasicSchwierigkeitsgrad
• 4.4+
• 538 Wiederholungen

Explore Super Bowl viewership data in the age of soaring ad costs.

• MittelSchwierigkeitsgrad
• 4.4+
• 752 Wiederholungen

Automate e-commerce processes with image classification.

• BasicSchwierigkeitsgrad
• 4.3+
• 487 Wiederholungen

Apply your knowledge of data types and categorical data to prepare a big dataset for modeling!

• ExperteSchwierigkeitsgrad
• 4.5+
• 51 Wiederholungen

Use distributed training to optimize a transformer model with multi-device acceleration and advanced optimizers.

• MittelSchwierigkeitsgrad
• 4.3+
• 342 Wiederholungen

Analyze Twitter follower data with Python! Use Pandas and NetworkX to build functions, identify influential users, and explore network structures.