• 高度なスキルレベル
• 4.0+
• 2.2K

Derive insights about motorcycle part sales over time across multiple warehouse sites!

• 高度なスキルレベル
• 4.0+
• 859

Use your SQL skills to find out how many companies reached a valuation of over $1 billion across different industries between 2019 and 2021!

• 高度なスキルレベル
• 4.1+
• 730

Identify issues in a manufacturing process using SQL window functions and subqueries

• 高度なスキルレベル
• 3.6+
• 723

Use LLMs to solve diverse language tasks for a car dealership company.

• 高度なスキルレベル
• 4.5+
• 456

Use PySpark to build an e-commerce forecasting model!

• 高度なスキルレベル
• 4.1+
• 395

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

• 高度なスキルレベル
• 4.5+
• 376

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

• 高度なスキルレベル
• 4.1+
• 335

Perform a machine learning experiment to find the best model that predicts the temperature in London!

• 高度なスキルレベル
• 3.8+
• 328

Develop an inventory management system for a retail business using OOP in Python.

• 高度なスキルレベル
• 4.0+
• 312

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

• 高度なスキルレベル
• 4.1+
• 299

Train a simple reinforcement learning agent in stock trading simulation.

• 高度なスキルレベル
• 3.9+
• 267

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

• 高度なスキルレベル
• 4.6+
• 263

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

• 高度なスキルレベル
• 4.4+
• 236

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

• 高度なスキルレベル
• 4.3+
• 177

Enhancing Transportation Safety through Traffic Sign Detection

• 高度なスキルレベル
• 4.2+
• 164

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

• 高度なスキルレベル
• 4.3+
• 131

Cluster NBA players by performance stats in the 2022-2023 season.

• 高度なスキルレベル
• 4.1+
• 129

Develop a Wedding management system called Happea(Happily Ever After) to manage wedding invitations and the RSVP of Guests.

• 高度なスキルレベル
• 4.2+
• 107

Explore habitat data using factor and survival analysis tools.

• 高度なスキルレベル
• 2.3+
• 91

Train a reward model based on the trl library.

• 高度なスキルレベル
• 3.0+
• 89

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