• DasarTingkat Keterampilan
• 4.1+
• 107

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

• MenengahTingkat Keterampilan
• 4.6+
• 105

Analyze CO2 emissions across geographical regions and fuel sources to understand environmental impacts in the energy sector.

• LanjutanTingkat Keterampilan
• 4.2+
• 105

Explore habitat data using factor and survival analysis tools.

• MenengahTingkat Keterampilan
• 4.0+
• 102

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

• MenengahTingkat Keterampilan
• 4.0+
• 100

Analyze grocery store data to identify shopping patterns and preferences.

• LanjutanTingkat Keterampilan
• 3.0+
• 97

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

• MenengahTingkat Keterampilan
• 4.8+
• 94

Improve a Car Price prediction model using Feature Engineering tools

• LanjutanTingkat Keterampilan
• 3.0+
• 93

Train a reward model based on the trl library.

• MenengahTingkat Keterampilan
• 4.3+
• 88

Compare life expectancy across countries and genders with ggplot2.

• MenengahTingkat Keterampilan
• 4.7+
• 79

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

• MenengahTingkat Keterampilan
• 4.1+
• 79

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

• DasarTingkat Keterampilan
• 4.5+
• 76

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

• MenengahTingkat Keterampilan
• 4.3+
• 65

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

• DasarTingkat Keterampilan
• 3.9+
• 60

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

• DasarTingkat Keterampilan
• 5.0+
• 39

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