• Orta SeviyeBeceri Seviyesi
• 4.4+
• 10.222 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.2+
• 5.673 inceleme

Review a data analysis workflow for adherence to Python standards and best-practices.

• TemelBeceri Seviyesi
• 4.4+
• 5.447 inceleme

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

• İleri SeviyeBeceri Seviyesi
• 4.1+
• 4.443 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 2.826 inceleme

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

• İleri SeviyeBeceri Seviyesi
• 4.2+
• 2.965 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.2+
• 2.439 inceleme

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

• TemelBeceri Seviyesi
• 4.3+
• 5.585 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.4+
• 4.263 inceleme

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

• TemelBeceri Seviyesi
• 4.0+
• 3.441 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.4+
• 5.002 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 4.268 inceleme

Manipulate date and time using Python

• Orta SeviyeBeceri Seviyesi
• 4.1+
• 3.378 inceleme

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

• TemelBeceri Seviyesi
• 4.3+
• 2.760 inceleme

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

• İleri SeviyeBeceri Seviyesi
• 4.4+
• 2.270 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 941 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 743 inceleme

Use mean-variance optimization to find optimal portfolio weights and then check how well they would have performed.

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 2.587 inceleme

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

• TemelBeceri Seviyesi
• 4.4+
• 1.413 inceleme

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

• TemelBeceri Seviyesi
• 4.3+
• 3.167 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.5+
• 402 inceleme

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

• İleri SeviyeBeceri Seviyesi
• 4.0+
• 1.667 inceleme

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

• TemelBeceri Seviyesi
• 4.4+
• 2.267 inceleme

Create custom Python functions to validate user input!

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 3.447 inceleme

Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.

• TemelBeceri Seviyesi
• 4.4+
• 650 inceleme

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

• TemelBeceri Seviyesi
• 4.2+
• 1.326 inceleme

Sharpen your debugging skills to enhance sales data accuracy.

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 1.491 inceleme

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

• İleri SeviyeBeceri Seviyesi
• 4.4+
• 1.293 inceleme

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

• TemelBeceri Seviyesi
• 4.3+
• 2.380 inceleme

Analyze UEFA Champions League Soccer Games using Snowflake SQL.

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 1.025 inceleme

Ready to analyze and visualize financial ratios? In this project, you will take on real-world challenges like evaluating the profitability and leverage of companies across industries.