Projekt

• ExperteSchwierigkeitsgrad
• 3.8+
• 222

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

Projekt

• GrundlagenSchwierigkeitsgrad
• 4.4+
• 219

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

Projekt

• MittelSchwierigkeitsgrad
• 4.6+
• 207

Use MLBs Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.

Projekt

• GrundlagenSchwierigkeitsgrad
• 3.4+
• 203

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

Projekt

• MittelSchwierigkeitsgrad
• 4.1+
• 197

Automate e-commerce processes with image classification.

Projekt

• MittelSchwierigkeitsgrad
• 4.1+
• 197

Clean customer data and use logistic regression to predict whether people will make a claim on their car insurance!

Projekt

• ExperteSchwierigkeitsgrad
• 4.3+
• 190

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

Projekt

• MittelSchwierigkeitsgrad
• 4.6+
• 188

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

Projekt

• MittelSchwierigkeitsgrad
• 4.5+
• 186

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

Projekt

• MittelSchwierigkeitsgrad
• 4.5+
• 181

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

Projekt

• ExperteSchwierigkeitsgrad
• 4.2+
• 179

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

Projekt

• MittelSchwierigkeitsgrad
• 4.6+
• 178

Generate features from text and numeric variables to predict the popularity of books.

Projekt

• MittelSchwierigkeitsgrad
• 4.4+
• 167

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

Projekt

• GrundlagenSchwierigkeitsgrad
• 4.2+
• 153

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

Projekt

• MittelSchwierigkeitsgrad
• 4.4+
• 149

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

Projekt

• GrundlagenSchwierigkeitsgrad
• 4.1+
• 149

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

Projekt

• MittelSchwierigkeitsgrad
• 4.0+
• 149

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

Projekt

• MittelSchwierigkeitsgrad
• 4.6+
• 144

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

Projekt

• MittelSchwierigkeitsgrad
• 4.3+
• 144

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

Projekt

• GrundlagenSchwierigkeitsgrad
• 4.3+
• 138

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

Projekt

• GrundlagenSchwierigkeitsgrad
• 4.8+
• 137

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

Projekt

• MittelSchwierigkeitsgrad
• 4.6+
• 133

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

Projekt

• MittelSchwierigkeitsgrad
• 4.2+
• 133

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

Projekt

• MittelSchwierigkeitsgrad
• 3.8+
• 129

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

Projekt

• GrundlagenSchwierigkeitsgrad
• 4.3+
• 128

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

Projekt

• GrundlagenSchwierigkeitsgrad
• 4.1+
• 128

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

Projekt

• MittelSchwierigkeitsgrad
• 4.6+
• 126

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

Projekt

• ExperteSchwierigkeitsgrad
• 4.5+
• 116

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

Projekt

• MittelSchwierigkeitsgrad
• 4.8+
• 113

Use Explainable AI to understand demand forecasting models and make data-driven decisions.

Projekt

• ExperteSchwierigkeitsgrad
• 3.9+
• 113

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