• БазовыйУровень навыков
• 3.9+
• 3 206 отзывов

Sometimes, things that once worked perfectly suddenly hit a snag. Practice your knowledge of DataFrames to find the problem and fix it!

• Продвинутый уровеньУровень навыков
• 4.3+
• 831 отзыв

Use PySpark to build an e-commerce forecasting model!

• БазовыйУровень навыков
• 4.5+
• 1 827 отзывов

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

• Средний уровеньУровень навыков
• 4.3+
• 649 отзывов

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

• Средний уровеньУровень навыков
• 4.3+
• 1 437 отзывов

Join us at a leading insurance company, where well craft a model to predict customer charges and test it with new client data

• БазовыйУровень навыков
• 4.2+
• 1 252 отзыва

Sharpen your debugging skills to enhance sales data accuracy.

• Средний уровеньУровень навыков
• 4.3+
• 964 отзыва

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.

• БазовыйУровень навыков
• 4.2+
• 2 030 отзывов

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

• Средний уровеньУровень навыков
• 4.3+
• 3 364 отзыва

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

• Средний уровеньУровень навыков
• 4.4+
• 589 отзывов

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

• Средний уровеньУровень навыков
• 4.2+
• 1 224 отзыва

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

• Средний уровеньУровень навыков
• 4.3+
• 2 391 отзыв

Use DataFrames to read and merge employee data from different sources.

• Продвинутый уровеньУровень навыков
• 4.4+
• 782 отзыва

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

• Средний уровеньУровень навыков
• 4.1+
• 1 154 отзыва

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

• БазовыйУровень навыков
• 4.3+
• 2 022 отзыва

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

• Средний уровеньУровень навыков
• 3.8+
• 1 672 отзыва

Examine flight delays & cancellations to uncover insights.

• Средний уровеньУровень навыков
• 4.0+
• 872 отзыва

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

• БазовыйУровень навыков
• 4.3+
• 296 отзывов

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

• Средний уровеньУровень навыков
• 4.4+
• 1 354 отзыва

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

• Средний уровеньУровень навыков
• 4.1+
• 2 167 отзывов

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

• Средний уровеньУровень навыков
• 4.4+
• 703 отзыва

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

• Средний уровеньУровень навыков
• 4.0+
• 1 343 отзыва

Build models predicting customer churn for Indian telecom customers.

• Средний уровеньУровень навыков
• 3.9+
• 1 289 отзывов

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

• Продвинутый уровеньУровень навыков
• 4.2+
• 798 отзывов

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

• БазовыйУровень навыков
• 4.2+
• 1 844 отзыва

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

• Средний уровеньУровень навыков
• 4.2+
• 2 521 отзыв

Chart electric vehicle charging trends to inform strategic planning.

• Средний уровеньУровень навыков
• 4.0+
• 1 297 отзывов

Apply your data manipulation skills to time series data on water levels of the River Thames.

• Средний уровеньУровень навыков
• 4.5+
• 803 отзыва

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

• Продвинутый уровеньУровень навыков
• 4.4+
• 678 отзывов

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

• Средний уровеньУровень навыков
• 4.3+
• 934 отзыва

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