• Orta SeviyeBeceri Seviyesi
• 4.3+
• 23.032 inceleme

Dive into agriculture using supervised machine learning and feature selection to aid farmers in crop cultivation and solve real-world problems.

• TemelBeceri Seviyesi
• 4.2+
• 12.053 inceleme

Define functions to catch errors when new users register for an app!

• Orta SeviyeBeceri Seviyesi
• 4.4+
• 12.488 inceleme

Tidy a bank marketing campaign dataset by splitting it into subsets, updating values, converting data types, and storing it as multiple csv files.

• Orta SeviyeBeceri Seviyesi
• 4.2+
• 5.239 inceleme

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

• İleri SeviyeBeceri Seviyesi
• 4.4+
• 6.216 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 3.917 inceleme

Manipulate date and time using Python

• TemelBeceri Seviyesi
• 4.4+
• 2.509 inceleme

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

• İleri SeviyeBeceri Seviyesi
• 4.0+
• 1.466 inceleme

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

• TemelBeceri Seviyesi
• 4.4+
• 2.072 inceleme

Create custom Python functions to validate user input!

• Orta SeviyeBeceri Seviyesi
• 4.2+
• 1.166 inceleme

Query the VatComply API to gather exchange rate information and incorporate into a sales orders dataset!

• Orta SeviyeBeceri Seviyesi
• 4.1+
• 1.120 inceleme

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

• TemelBeceri Seviyesi
• 4.1+
• 1.201 inceleme

Sharpen your debugging skills to enhance sales data accuracy.

• İleri SeviyeBeceri Seviyesi
• 4.1+
• 262 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.4+
• 447 inceleme

Analyze grocery store data to identify shopping patterns and preferences.