Projekte

• ExperteSchwierigkeitsgrad
• 4.4+
• 736 Wiederholungen

Transcribe customer support audio calls, evaluate sentiment, search in text and identify common entities to improve customer service!

• MittelSchwierigkeitsgrad
• 4.2+
• 1.168 Wiederholungen

Query the VatComply API to gather exchange rate information and incorporate into a sales orders dataset!

• BasicSchwierigkeitsgrad
• 4.4+
• 547 Wiederholungen

Use OpenAIs powerful API to enrich and summarize stock market data.

• ExperteSchwierigkeitsgrad
• 4.4+
• 1.198 Wiederholungen

Step into a data engineers shoes and master data cleaning with PySpark on an e-commerce orders dataset!

• MittelSchwierigkeitsgrad
• 4.3+
• 920 Wiederholungen

Ready to analyze and visualize financial ratios? In this project, you will take on real-world challenges like evaluating the profitability and leverage of companies across industries.

• ExperteSchwierigkeitsgrad
• 4.3+
• 811 Wiederholungen

Use PySpark to build an e-commerce forecasting model!

• MittelSchwierigkeitsgrad
• 4.1+
• 1.121 Wiederholungen

Use web scraping and NLP to find the most frequent words in classic literature: Herman Melvilles novel, Moby Dick.

• MittelSchwierigkeitsgrad
• 3.8+
• 1.644 Wiederholungen

Examine flight delays & cancellations to uncover insights.

• BasicSchwierigkeitsgrad
• 4.5+
• 1.765 Wiederholungen

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

• BasicSchwierigkeitsgrad
• 4.2+
• 1.962 Wiederholungen

Use a variety of data manipulation techniques to explore different aspects of Legos history.

• BasicSchwierigkeitsgrad
• 4.1+
• 1.204 Wiederholungen

Sharpen your debugging skills to enhance sales data accuracy.

• MittelSchwierigkeitsgrad
• 4.3+
• 3.297 Wiederholungen

Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.

• BasicSchwierigkeitsgrad
• 4.2+
• 1.809 Wiederholungen

Exploring flight data from NYC using advanced data joining techniques in R.

• MittelSchwierigkeitsgrad
• 4.2+
• 2.481 Wiederholungen

Chart electric vehicle charging trends to inform strategic planning.

• MittelSchwierigkeitsgrad
• 4.3+
• 582 Wiederholungen

Use mean-variance optimization to find optimal portfolio weights and then check how well they would have performed.

• BasicSchwierigkeitsgrad
• 4.3+
• 1.962 Wiederholungen

Automatically generate keywords for a search engine marketing campaign using Python to send website visitors to the right landing page.

• ExperteSchwierigkeitsgrad
• 4.2+
• 780 Wiederholungen

Explore transportation time series data analysis to uncover patterns and forecast travel costs.

• MittelSchwierigkeitsgrad
• 4.0+
• 1.256 Wiederholungen

Use joining techniques to discover the oldest businesses in the world.

• MittelSchwierigkeitsgrad
• 4.3+
• 546 Wiederholungen

Powering Data for the Department of Energy - Building an ETL Pipeline

• MittelSchwierigkeitsgrad
• 4.0+
• 1.304 Wiederholungen

Build models predicting customer churn for Indian telecom customers.

• MittelSchwierigkeitsgrad
• 4.0+
• 832 Wiederholungen

Build an AI-powered inbox assistant to classify your emails using Llama.

• MittelSchwierigkeitsgrad
• 4.4+
• 682 Wiederholungen

Explore facial recognition with ML by distinguishing Arnold Schwarzenegger from others using Python and scikit-learn.

• ExperteSchwierigkeitsgrad
• 4.4+
• 654 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.1+
• 2.130 Wiederholungen

Use logistic regression to predict whether people will make a claim on their car insurance!

• MittelSchwierigkeitsgrad
• 4.4+
• 1.328 Wiederholungen

Analyze online shopping habits: returning vs. new customers using statistics & probability techniques!

• MittelSchwierigkeitsgrad
• 4.5+
• 757 Wiederholungen

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

• ExperteSchwierigkeitsgrad
• 4.2+
• 723 Wiederholungen

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

• ExperteSchwierigkeitsgrad
• 4.4+
• 296 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.3+
• 899 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.6+
• 248 Wiederholungen

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