Projekte

• MittelSchwierigkeitsgrad
• 4.4+
• 10.041 Wiederholungen

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

• ExperteSchwierigkeitsgrad
• 4.4+
• 6.318 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
• 4.2+
• 2.330 Wiederholungen

Develop a multi-input model to classify characters from scanned documents.

• BasicSchwierigkeitsgrad
• 4.4+
• 5.304 Wiederholungen

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

• ExperteSchwierigkeitsgrad
• 4.1+
• 4.355 Wiederholungen

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

• BasicSchwierigkeitsgrad
• 4.3+
• 5.443 Wiederholungen

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

• ExperteSchwierigkeitsgrad
• 4.2+
• 2.812 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.4+
• 4.878 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.3+
• 2.685 Wiederholungen

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

• BasicSchwierigkeitsgrad
• 4.0+
• 3.361 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
• 4.4+
• 4.133 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.3+
• 4.097 Wiederholungen

Manipulate date and time using Python

• BasicSchwierigkeitsgrad
• 4.3+
• 2.655 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.3+
• 900 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.5+
• 388 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.4+
• 2.915 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.3+
• 2.513 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.1+
• 3.130 Wiederholungen

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

• BasicSchwierigkeitsgrad
• 4.4+
• 1.342 Wiederholungen

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

• ExperteSchwierigkeitsgrad
• 4.4+
• 2.179 Wiederholungen

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

• BasicSchwierigkeitsgrad
• 4.3+
• 3.054 Wiederholungen

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

• BasicSchwierigkeitsgrad
• 4.3+
• 2.337 Wiederholungen

Analyze UEFA Champions League Soccer Games using Snowflake SQL.

• ExperteSchwierigkeitsgrad
• 4.0+
• 1.589 Wiederholungen

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

• BasicSchwierigkeitsgrad
• 4.4+
• 2.179 Wiederholungen

Create custom Python functions to validate user input!

• ExperteSchwierigkeitsgrad
• 4.5+
• 408 Wiederholungen

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

• MittelSchwierigkeitsgrad
• 4.2+
• 2.602 Wiederholungen

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

• ExperteSchwierigkeitsgrad
• 4.4+
• 1.248 Wiederholungen

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

• BasicSchwierigkeitsgrad
• 4.4+
• 601 Wiederholungen

Use OpenAIs powerful API to enrich and summarize stock market data.

• MittelSchwierigkeitsgrad
• 4.3+
• 1.443 Wiederholungen

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

• ExperteSchwierigkeitsgrad
• 4.3+
• 836 Wiederholungen

Use PySpark to build an e-commerce forecasting model!