Projekte

• ExperteSchwierigkeitsgrad
• 4.3+
• 411 Wiederholungen

Train a simple reinforcement learning agent in stock trading simulation.

• BasicSchwierigkeitsgrad
• 4.1+
• 899 Wiederholungen

Explore a dataset containing a centurys worth of Nobel Laureates. Who won? Who got snubbed?

• MittelSchwierigkeitsgrad
• 4.4+
• 717 Wiederholungen

Automate e-commerce processes with image classification.

• BasicSchwierigkeitsgrad
• 4.4+
• 288 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.6+
• 234 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.4+
• 610 Wiederholungen

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

• BasicSchwierigkeitsgrad
• 4.5+
• 236 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.4+
• 427 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.3+
• 347 Wiederholungen

Build a PyTorch-powered traffic prediction system using time-series skills and deep learning to forecast traffic volume.

• MittelSchwierigkeitsgrad
• 4.2+
• 483 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.3+
• 2.294 Wiederholungen

Use DataFrames to read and merge employee data from different sources.

• BasicSchwierigkeitsgrad
• 4.4+
• 291 Wiederholungen

Use SQL to figure out the golden era of video games!

• BasicSchwierigkeitsgrad
• 4.4+
• 243 Wiederholungen

Build an educational quiz bot to generate questions and answers to quiz yourself or your students.

• MittelSchwierigkeitsgrad
• 4.0+
• 359 Wiederholungen

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

• BasicSchwierigkeitsgrad
• 4.3+
• 457 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.4+
• 611 Wiederholungen

Manipulate and plot time series data from Google Trends to analyze changes in search interest over time.

• BasicSchwierigkeitsgrad
• 4.3+
• 495 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.4+
• 190 Wiederholungen

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

• ExperteSchwierigkeitsgrad
• 4.5+
• 330 Wiederholungen

Enhancing Transportation Safety through Traffic Sign Detection

• ExperteSchwierigkeitsgrad
• 4.6+
• 35 Wiederholungen

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

• ExperteSchwierigkeitsgrad
• 4.4+
• 359 Wiederholungen

Cluster NBA players by performance stats in the 2022-2023 season.

• BasicSchwierigkeitsgrad
• 4.4+
• 493 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 3.9+
• 1.195 Wiederholungen

Apply your data manipulation skills to time series data on water levels of the River Thames.

• MittelSchwierigkeitsgrad
• 4.3+
• 615 Wiederholungen

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

• BasicSchwierigkeitsgrad
• 4.5+
• 800 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.5+
• 215 Wiederholungen

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

• ExperteSchwierigkeitsgrad
• 4.4+
• 340 Wiederholungen

Explore habitat data using factor and survival analysis tools.

• BasicSchwierigkeitsgrad
• 4.6+
• 247 Wiederholungen

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

• ExperteSchwierigkeitsgrad
• 4.1+
• 251 Wiederholungen

Develop a Wedding management system called Happea(Happily Ever After) to manage wedding invitations and the RSVP of Guests.

• MittelSchwierigkeitsgrad
• 4.3+
• 307 Wiederholungen

Apply clustering and NLP techniques to sort text data from negative reviews in the Google Play Store into categories.