• 기초적인숙련도 수준
• 4.1+
• 107

Use R to make art and create imaginary flowers inspired by nature.

• 기초적인숙련도 수준
• 4.3+
• 105

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

• 기초적인숙련도 수준
• 4.6+
• 103

Use SQL to figure out the golden era of video games!

• 중급숙련도 수준
• 4.0+
• 102

Use Explainable AI to understand demand forecasting models and make data-driven decisions.

• 중급숙련도 수준
• 4.8+
• 99

Improve a Car Price prediction model using Feature Engineering tools

• 중급숙련도 수준
• 4.1+
• 98

Analyze grocery store data to identify shopping patterns and preferences.

• 고급의숙련도 수준
• 2.3+
• 91

Train a reward model based on the trl library.

• 고급의숙련도 수준
• 3.0+
• 89

Use distributed training to optimize a transformer model with multi-device acceleration and advanced optimizers.

• 중급숙련도 수준
• 4.3+
• 88

Compare life expectancy across countries and genders with ggplot2.

• 중급숙련도 수준
• 4.7+
• 78

Write functions to forecast time series of food prices in Rwanda.

• 중급숙련도 수준
• 4.1+
• 78

Determine the patterns where bike theft is most likely to occur using visualizations.

• 기초적인숙련도 수준
• 4.4+
• 75

Analyze data about electronic vehicle charging behavior to better use shared charging stations.

• 중급숙련도 수준
• 4.3+
• 60

Build a regression model for a DVD rental firm to predict rental duration. Evaluate models to recommend the best one.

• 기초적인숙련도 수준
• 3.9+
• 58

Apply your knowledge of data types and categorical data to prepare a big dataset for modeling!

• 기초적인숙련도 수준
• 5.0+
• 39

Analyze data about electronic vehicle charging behavior to better use shared charging stations.