• İleri SeviyeBeceri Seviyesi
• 4.0+
• 1.403 inceleme

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

• İleri SeviyeBeceri Seviyesi
• 4.3+
• 779 inceleme

Use PySpark to build an e-commerce forecasting model!

• İleri SeviyeBeceri Seviyesi
• 4.4+
• 1.145 inceleme

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

• İleri SeviyeBeceri Seviyesi
• 4.6+
• 358 inceleme

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

• TemelBeceri Seviyesi
• 4.5+
• 510 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 3.238 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 891 inceleme

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.

• TemelBeceri Seviyesi
• 4.4+
• 1.978 inceleme

Create custom Python functions to validate user input!

• TemelBeceri Seviyesi
• 4.2+
• 1.766 inceleme

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

• TemelBeceri Seviyesi
• 4.2+
• 1.157 inceleme

Sharpen your debugging skills to enhance sales data accuracy.

• Orta SeviyeBeceri Seviyesi
• 4.2+
• 1.108 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.1+
• 2.868 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 3.8+
• 1.567 inceleme

Examine flight delays & cancellations to uncover insights.

• TemelBeceri Seviyesi
• 4.2+
• 1.890 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.2+
• 553 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.2+
• 2.431 inceleme

Chart electric vehicle charging trends to inform strategic planning.

• Orta SeviyeBeceri Seviyesi
• 4.0+
• 1.266 inceleme

Build models predicting customer churn for Indian telecom customers.

• TemelBeceri Seviyesi
• 4.5+
• 1.713 inceleme

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

• İleri SeviyeBeceri Seviyesi
• 4.4+
• 634 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.4+
• 651 inceleme

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

• TemelBeceri Seviyesi
• 4.3+
• 1.911 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 3.9+
• 1.222 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 510 inceleme

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

• İleri SeviyeBeceri Seviyesi
• 4.2+
• 706 inceleme

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

• İleri SeviyeBeceri Seviyesi
• 4.2+
• 751 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.4+
• 1.287 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 864 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.4+
• 725 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.0+
• 798 inceleme

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

• İleri SeviyeBeceri Seviyesi
• 4.4+
• 263 inceleme

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