Proje

• Orta SeviyeBeceri Seviyesi
• 4.1+
• 788

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

Proje

• Orta SeviyeBeceri Seviyesi
• 3.9+
• 772

Analyze clothing reviews on an e-commerce platform to explore different topics and similarities among them.

Proje

• TemelBeceri Seviyesi
• 4.2+
• 768

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

Proje

• İleri SeviyeBeceri Seviyesi
• 4.0+
• 767

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

Proje

• Orta SeviyeBeceri Seviyesi
• 4.0+
• 742

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

Proje

• TemelBeceri Seviyesi
• 4.0+
• 716

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

Proje

• İleri SeviyeBeceri Seviyesi
• 3.7+
• 711

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

Proje

• Orta SeviyeBeceri Seviyesi
• 4.4+
• 701

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

Proje

• Orta SeviyeBeceri Seviyesi
• 4.1+
• 652

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

Proje

• Orta SeviyeBeceri Seviyesi
• 4.2+
• 651

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

Proje

• İleri SeviyeBeceri Seviyesi
• 3.9+
• 605

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

Proje

• Orta SeviyeBeceri Seviyesi
• 4.5+
• 591

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

Proje

• TemelBeceri Seviyesi
• 4.2+
• 563

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

Proje

• Orta SeviyeBeceri Seviyesi
• 4.2+
• 532

Manipulate date and time using Python

Proje

• Orta SeviyeBeceri Seviyesi
• 4.1+
• 525

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

Proje

• Orta SeviyeBeceri Seviyesi
• 4.1+
• 520

Automate e-commerce processes with image classification.

Proje

• Orta SeviyeBeceri Seviyesi
• 4.1+
• 519

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

Proje

• TemelBeceri Seviyesi
• 4.1+
• 500

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

Proje

• İleri SeviyeBeceri Seviyesi
• 4.4+
• 461

Use PySpark to build an e-commerce forecasting model!

Proje

• TemelBeceri Seviyesi
• 3.9+
• 453

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

Proje

• TemelBeceri Seviyesi
• 3.9+
• 437

Analyze UEFA Champions League Soccer Games using Snowflake SQL.

Proje

• TemelBeceri Seviyesi
• 4.2+
• 420

Create custom Python functions to validate user input!

Proje

• İleri SeviyeBeceri Seviyesi
• 3.8+
• 413

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

Proje

• Orta SeviyeBeceri Seviyesi
• 4.2+
• 403

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

Proje

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 394

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

Proje

• Orta SeviyeBeceri Seviyesi
• 4.0+
• 393

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

Proje

• Orta SeviyeBeceri Seviyesi
• 3.9+
• 365

Use web scraping and NLP to find the most frequent words in classic literature: Herman Melvilles novel, Moby Dick.

Proje

• Orta SeviyeBeceri Seviyesi
• 4.1+
• 354

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.

Proje

• İleri SeviyeBeceri Seviyesi
• 4.2+
• 350

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

Proje

• İleri SeviyeBeceri Seviyesi
• 4.3+
• 336

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