Projekte

• BasicSchwierigkeitsgrad
• 4.6+
• 6.393 Wiederholungen

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

• BasicSchwierigkeitsgrad
• 4.3+
• 5.241 Wiederholungen

Use categorization and ranking techniques to explore 101 years of American baby names.

• ExperteSchwierigkeitsgrad
• 4.1+
• 2.667 Wiederholungen

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

• ExperteSchwierigkeitsgrad
• 4.4+
• 6.216 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.4+
• 9.782 Wiederholungen

Clean customer data and use logistic regression to predict whether people will make a claim on their car insurance!

• MittelSchwierigkeitsgrad
• 4.5+
• 4.687 Wiederholungen

Use SQL to analyze a database containing information about Student performance!

• BasicSchwierigkeitsgrad
• 4.4+
• 5.148 Wiederholungen

Dive into sleep data and gain insights about factors that impact sleep quality

• BasicSchwierigkeitsgrad
• 4.0+
• 3.234 Wiederholungen

Conduct a supply chain analysis of the ingredients used in an avocado toast to gain an understanding of the complex supply chain involved.

• MittelSchwierigkeitsgrad
• 4.3+
• 2.614 Wiederholungen

Build a machine learning model to predict if a credit card application will get approved.

• MittelSchwierigkeitsgrad
• 4.4+
• 3.998 Wiederholungen

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

• ExperteSchwierigkeitsgrad
• 4.1+
• 4.143 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.3+
• 3.922 Wiederholungen

Manipulate date and time using Python

• MittelSchwierigkeitsgrad
• 4.2+
• 2.281 Wiederholungen

Automate e-commerce processes with image classification.

• BasicSchwierigkeitsgrad
• 4.4+
• 2.515 Wiederholungen

Develop a new app feature with your Python skills to calculate calories and nutrition values from user input.

• BasicSchwierigkeitsgrad
• 4.3+
• 2.241 Wiederholungen

Analyze UEFA Champions League Soccer Games using Snowflake SQL.

• MittelSchwierigkeitsgrad
• 4.3+
• 2.427 Wiederholungen

Enhance your SQL Skills with hands-on data cleaning in PostgreSQL: perform analyses while working with incorrect data types and missing values.

• MittelSchwierigkeitsgrad
• 4.5+
• 366 Wiederholungen

Use regression and machine learning models to predict daily power consumption based on temporal factors.

• BasicSchwierigkeitsgrad
• 4.3+
• 2.936 Wiederholungen

Use data manipulation and visualization to explore a television broadcast dataset from the Super Bowl.

• MittelSchwierigkeitsgrad
• 4.3+
• 845 Wiederholungen

Develop a system that can detect Cyber Threats in your companys network traffic logs using Deep Learning.

• MittelSchwierigkeitsgrad
• 4.2+
• 3.203 Wiederholungen

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

• BasicSchwierigkeitsgrad
• 4.5+
• 1.256 Wiederholungen

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

• ExperteSchwierigkeitsgrad
• 4.0+
• 1.468 Wiederholungen

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

• ExperteSchwierigkeitsgrad
• 4.4+
• 2.072 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.3+
• 1.389 Wiederholungen

Solve the Taxi-v3 environment using Q-learning, ensuring efficient AI-driven transportation.

• ExperteSchwierigkeitsgrad
• 4.6+
• 377 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.1+
• 3.013 Wiederholungen

Analyze product data for an online sports retail company to optimize revenue.

• BasicSchwierigkeitsgrad
• 3.9+
• 3.128 Wiederholungen

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

• BasicSchwierigkeitsgrad
• 4.4+
• 2.075 Wiederholungen

Create custom Python functions to validate user input!

• MittelSchwierigkeitsgrad
• 4.3+
• 1.390 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.2+
• 2.534 Wiederholungen

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