Projekte

• ExperteSchwierigkeitsgrad
• 4.0+
• 1.403 Wiederholungen

Develop an inventory management system for a retail business using OOP in Python.

• ExperteSchwierigkeitsgrad
• 4.3+
• 779 Wiederholungen

Use PySpark to build an e-commerce forecasting model!

• ExperteSchwierigkeitsgrad
• 4.4+
• 1.145 Wiederholungen

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

• ExperteSchwierigkeitsgrad
• 4.6+
• 358 Wiederholungen

Help the bank monitoring their fraud detection model and figuring out why its not performing as expected.

• BasicSchwierigkeitsgrad
• 4.5+
• 510 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.3+
• 3.238 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.3+
• 891 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.

• BasicSchwierigkeitsgrad
• 4.4+
• 1.978 Wiederholungen

Create custom Python functions to validate user input!

• BasicSchwierigkeitsgrad
• 4.2+
• 1.766 Wiederholungen

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

• BasicSchwierigkeitsgrad
• 4.2+
• 1.157 Wiederholungen

Sharpen your debugging skills to enhance sales data accuracy.

• MittelSchwierigkeitsgrad
• 4.2+
• 1.108 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.1+
• 2.868 Wiederholungen

Analyze product data for an online sports retail company to optimize revenue.

• MittelSchwierigkeitsgrad
• 3.8+
• 1.567 Wiederholungen

Examine flight delays & cancellations to uncover insights.

• BasicSchwierigkeitsgrad
• 4.2+
• 1.890 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.2+
• 553 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.2+
• 2.431 Wiederholungen

Chart electric vehicle charging trends to inform strategic planning.

• MittelSchwierigkeitsgrad
• 4.0+
• 1.266 Wiederholungen

Build models predicting customer churn for Indian telecom customers.

• BasicSchwierigkeitsgrad
• 4.5+
• 1.713 Wiederholungen

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

• ExperteSchwierigkeitsgrad
• 4.4+
• 634 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.4+
• 651 Wiederholungen

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

• BasicSchwierigkeitsgrad
• 4.3+
• 1.911 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 3.9+
• 1.222 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.3+
• 510 Wiederholungen

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

• ExperteSchwierigkeitsgrad
• 4.2+
• 706 Wiederholungen

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

• ExperteSchwierigkeitsgrad
• 4.2+
• 751 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.4+
• 1.287 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.3+
• 864 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.4+
• 725 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.0+
• 798 Wiederholungen

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

• ExperteSchwierigkeitsgrad
• 4.4+
• 263 Wiederholungen

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