• उन्नतकौशल स्तर
• 4.4+
• 736 समीक्षाएँ

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

• मध्यमकौशल स्तर
• 4.2+
• 1,168 समीक्षाएँ

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

• बुनियादीकौशल स्तर
• 4.4+
• 547 समीक्षाएँ

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

• उन्नतकौशल स्तर
• 4.4+
• 1,198 समीक्षाएँ

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

• मध्यमकौशल स्तर
• 4.3+
• 920 समीक्षाएँ

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.

• उन्नतकौशल स्तर
• 4.3+
• 811 समीक्षाएँ

Use PySpark to build an e-commerce forecasting model!

• मध्यमकौशल स्तर
• 4.1+
• 1,121 समीक्षाएँ

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

• मध्यमकौशल स्तर
• 3.8+
• 1,644 समीक्षाएँ

Examine flight delays & cancellations to uncover insights.

• बुनियादीकौशल स्तर
• 4.5+
• 1,765 समीक्षाएँ

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

• बुनियादीकौशल स्तर
• 4.2+
• 1,962 समीक्षाएँ

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

• बुनियादीकौशल स्तर
• 4.1+
• 1,204 समीक्षाएँ

Sharpen your debugging skills to enhance sales data accuracy.

• मध्यमकौशल स्तर
• 4.3+
• 3,297 समीक्षाएँ

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

• बुनियादीकौशल स्तर
• 4.2+
• 1,809 समीक्षाएँ

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

• मध्यमकौशल स्तर
• 4.2+
• 2,481 समीक्षाएँ

Chart electric vehicle charging trends to inform strategic planning.

• मध्यमकौशल स्तर
• 4.3+
• 582 समीक्षाएँ

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

• बुनियादीकौशल स्तर
• 4.3+
• 1,962 समीक्षाएँ

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

• उन्नतकौशल स्तर
• 4.2+
• 780 समीक्षाएँ

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

• मध्यमकौशल स्तर
• 4.0+
• 1,256 समीक्षाएँ

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

• मध्यमकौशल स्तर
• 4.3+
• 546 समीक्षाएँ

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

• मध्यमकौशल स्तर
• 4.0+
• 1,304 समीक्षाएँ

Build models predicting customer churn for Indian telecom customers.

• मध्यमकौशल स्तर
• 4.0+
• 832 समीक्षाएँ

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

• मध्यमकौशल स्तर
• 4.4+
• 682 समीक्षाएँ

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

• उन्नतकौशल स्तर
• 4.4+
• 654 समीक्षाएँ

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

• मध्यमकौशल स्तर
• 4.1+
• 2,130 समीक्षाएँ

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

• मध्यमकौशल स्तर
• 4.4+
• 1,328 समीक्षाएँ

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

• मध्यमकौशल स्तर
• 4.5+
• 757 समीक्षाएँ

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

• उन्नतकौशल स्तर
• 4.2+
• 723 समीक्षाएँ

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

• उन्नतकौशल स्तर
• 4.4+
• 296 समीक्षाएँ

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

• मध्यमकौशल स्तर
• 4.3+
• 899 समीक्षाएँ

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

• मध्यमकौशल स्तर
• 4.6+
• 248 समीक्षाएँ

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