• AvanzatoLivello di competenza
• 4.5+
• 426 revisioni

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

• BasicLivello di competenza
• 4.5+
• 1870 revisioni

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

• IntermedioLivello di competenza
• 4.2+
• 2645 revisioni

Perform hypothesis tests to determine if the adverse effects of a pharmaceutical drug are significant!

• IntermedioLivello di competenza
• 4.3+
• 1500 revisioni

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

• BasicLivello di competenza
• 3.9+
• 3289 revisioni

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

• AvanzatoLivello di competenza
• 4.3+
• 853 revisioni

Use PySpark to build an e-commerce forecasting model!

• AvanzatoLivello di competenza
• 4.3+
• 841 revisioni

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

• BasicLivello di competenza
• 4.3+
• 329 revisioni

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

• IntermedioLivello di competenza
• 4.3+
• 2443 revisioni

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

• IntermedioLivello di competenza
• 4.3+
• 621 revisioni

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

• BasicLivello di competenza
• 4.2+
• 2096 revisioni

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

• IntermedioLivello di competenza
• 4.1+
• 1193 revisioni

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

• IntermedioLivello di competenza
• 4.2+
• 3337 revisioni

Perform a hypothesis test to determine if more goals are scored in womens soccer matches than mens!

• IntermedioLivello di competenza
• 4.4+
• 2936 revisioni

Extract structured data from unstructured natural language in medical transcriptions using the OpenAI API.

• BasicLivello di competenza
• 4.2+
• 1019 revisioni

Explore a dataset containing a centurys worth of Nobel Laureates. Who won? Who got snubbed?

• IntermedioLivello di competenza
• 4.2+
• 1278 revisioni

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

• IntermedioLivello di competenza
• 4.3+
• 1003 revisioni

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

• BasicLivello di competenza
• 4.3+
• 2084 revisioni

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

• IntermedioLivello di competenza
• 4.0+
• 1355 revisioni

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

• IntermedioLivello di competenza
• 4.4+
• 1408 revisioni

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

• IntermedioLivello di competenza
• 4.0+
• 899 revisioni

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

• IntermedioLivello di competenza
• 3.9+
• 1336 revisioni

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

• AvanzatoLivello di competenza
• 4.1+
• 850 revisioni

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

• IntermedioLivello di competenza
• 4.0+
• 1377 revisioni

Build models predicting customer churn for Indian telecom customers.

• IntermedioLivello di competenza
• 4.6+
• 299 revisioni

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

• IntermedioLivello di competenza
• 4.4+
• 849 revisioni

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

• IntermedioLivello di competenza
• 4.1+
• 2213 revisioni

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

• IntermedioLivello di competenza
• 4.4+
• 722 revisioni

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

• IntermedioLivello di competenza
• 4.4+
• 427 revisioni

Build a PyTorch-powered traffic prediction system using time-series skills and deep learning to forecast traffic volume.

• BasicLivello di competenza
• 4.4+
• 325 revisioni

Using OpenAI API for text translation, grammar checking, and pronunciation feedback