• 중급기술 수준
• 4.3+
• 177

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

• 중급기술 수준
• 4.5+
• 176

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

• 중급기술 수준
• 4.4+
• 170

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

• 중급기술 수준
• 4.4+
• 167

Automate e-commerce processes with image classification.

• 기초기술 수준
• 4.1+
• 161

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

• 중급기술 수준
• 4.3+
• 158

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

• 중급기술 수준
• 4.3+
• 157

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

• 기초기술 수준
• 4.3+
• 146

Use SQL to figure out the golden era of video games!

• 고급기술 수준
• 4.0+
• 146

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

• 기초기술 수준
• 4.1+
• 137

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

• 중급기술 수준
• 3.8+
• 136

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

• 중급기술 수준
• 3.9+
• 134

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

• 고급기술 수준
• 4.8+
• 129

Enhancing Transportation Safety through Traffic Sign Detection

• 중급기술 수준
• 4.8+
• 126

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

• 기초기술 수준
• 4.0+
• 123

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

• 기초기술 수준
• 4.6+
• 122

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

• 중급기술 수준
• 3.8+
• 120

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

• 기초기술 수준
• 3.8+
• 116

Apply your knowledge of data types and categorical data to prepare a big dataset for modeling!

• 기초기술 수준
• 4.0+
• 111

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

• 중급기술 수준
• 4.2+
• 110

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

• 중급기술 수준
• 3.3+
• 110

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

• 중급기술 수준
• 4.6+
• 107

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

• 중급기술 수준
• 3.9+
• 107

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

• 중급기술 수준
• 4.3+
• 105

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

• 기초기술 수준
• 3.5+
• 105

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

• 고급기술 수준
• 4.4+
• 104

Use distributed training to optimize a transformer model with multi-device acceleration and advanced optimizers.

• 기초기술 수준
• 4.3+
• 104

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

• 고급기술 수준
• 4.0+
• 104

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

• 중급기술 수준
• 4.1+
• 101

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

• 중급기술 수준
• 4.7+
• 100

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