• 중급숙련도 수준
• 4.6+
• 205

Generate features from text and numeric variables to predict the popularity of books.

• 중급숙련도 수준
• 4.3+
• 204

Classify food images using Hugging Face models, automatically recognizing and categorizing food items.

• 중급숙련도 수준
• 4.4+
• 200

Build a PyTorch-powered traffic prediction system using time-series skills and deep learning to forecast traffic volume.

• 중급숙련도 수준
• 4.1+
• 189

Step into a data scientists role and learn how to make product decisions with A/B testing in Python!

• 중급숙련도 수준
• 4.1+
• 187

Help a fast food chain save money and place more accurate orders by building a model to predict food sales.

• 고급의숙련도 수준
• 4.3+
• 177

Enhancing Transportation Safety through Traffic Sign Detection

• 중급숙련도 수준
• 4.8+
• 168

Automate e-commerce processes with image classification.

• 고급의숙련도 수준
• 4.2+
• 164

Detect pneumonia on X-ray images by fine-tuning a pre-trained CNN.

• 중급숙련도 수준
• 4.4+
• 158

Leverage machine learning algorithms and models for marketing analytics tasks in a streaming platform.

• 기초적인숙련도 수준
• 4.1+
• 153

Build an educational quiz bot to generate questions and answers to quiz yourself or your students.

• 기초적인숙련도 수준
• 4.1+
• 150

Explore a dataset containing a centurys worth of Nobel Laureates. Who won? Who got snubbed?

• 중급숙련도 수준
• 4.5+
• 149

Analyze subscription data for a SaaS company to identify what drives customer subscription renewals.

• 기초적인숙련도 수준
• 4.3+
• 147

Using OpenAI API for text translation, grammar checking, and pronunciation feedback

• 중급숙련도 수준
• 4.9+
• 143

Build an AI-powered airline chat assistant to generate custom responses and identify user intent.

• 기초적인숙련도 수준
• 4.5+
• 142

Explore Super Bowl viewership data in the age of soaring ad costs.

• 중급숙련도 수준
• 3.5+
• 141

Apply your data manipulation skills to time series data on water levels of the River Thames.

• 중급숙련도 수준
• 4.7+
• 138

Use DataFrames to read and merge employee data from different sources.

• 중급숙련도 수준
• 4.1+
• 138

Reanalyze the data behind one of the most important discoveries of modern medicine: handwashing.

• 중급숙련도 수준
• 4.2+
• 136

Manipulate and plot time series data from Google Trends to analyze changes in search interest over time.

• 기초적인숙련도 수준
• 4.5+
• 134

Join a leading HR consultancy to use regular expressions and data preprocessing to find tech job candidates from thousands of resumes.

• 고급의숙련도 수준
• 4.3+
• 131

Cluster NBA players by performance stats in the 2022-2023 season.

• 고급의숙련도 수준
• 4.1+
• 129

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

• 중급숙련도 수준
• 4.2+
• 126

Analyze Twitter follower data with Python! Use Pandas and NetworkX to build functions, identify influential users, and explore network structures.

• 중급숙련도 수준
• 4.2+
• 122

Examine the relationship between heart rate and heart disease using multiple logistic regression.

• 중급숙련도 수준
• 4.3+
• 119

Dive into the world of banking transactions to uncover hidden anomalies and protect customer confidence. Ready to take on the challenge?

• 중급숙련도 수준
• 4.6+
• 117

Apply clustering and NLP techniques to sort text data from negative reviews in the Google Play Store into categories.

• 중급숙련도 수준
• 3.1+
• 111

Process insurance claims with a Pinecone vector database and OpenAI embeddings.

• 기초적인숙련도 수준
• 2.5+
• 111

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

• 중급숙련도 수준
• 4.5+
• 108

Analyze CO2 emissions across geographical regions and fuel sources to understand environmental impacts in the energy sector.

• 고급의숙련도 수준
• 4.2+
• 107

Explore habitat data using factor and survival analysis tools.