• MenengahTingkat Keterampilan
• 4.3+
• 178

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

• MenengahTingkat Keterampilan
• 4.5+
• 174

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

• MenengahTingkat Keterampilan
• 4.5+
• 171

Automate e-commerce processes with image classification.

• MenengahTingkat Keterampilan
• 4.3+
• 169

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

• DasarTingkat Keterampilan
• 4.1+
• 163

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

• MenengahTingkat Keterampilan
• 4.3+
• 157

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

• MenengahTingkat Keterampilan
• 4.3+
• 156

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

• LanjutanTingkat Keterampilan
• 3.9+
• 156

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

• DasarTingkat Keterampilan
• 4.3+
• 147

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

• DasarTingkat Keterampilan
• 4.1+
• 137

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

• MenengahTingkat Keterampilan
• 3.8+
• 137

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

• MenengahTingkat Keterampilan
• 4.0+
• 136

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

• LanjutanTingkat Keterampilan
• 4.8+
• 129

Enhancing Transportation Safety through Traffic Sign Detection

• MenengahTingkat Keterampilan
• 4.8+
• 125

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

• DasarTingkat Keterampilan
• 4.0+
• 125

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

• MenengahTingkat Keterampilan
• 3.8+
• 123

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

• DasarTingkat Keterampilan
• 4.6+
• 122

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

• DasarTingkat Keterampilan
• 3.8+
• 116

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

• DasarTingkat Keterampilan
• 4.0+
• 111

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

• MenengahTingkat Keterampilan
• 4.2+
• 110

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

• MenengahTingkat Keterampilan
• 3.3+
• 109

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

• MenengahTingkat Keterampilan
• 4.6+
• 107

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

• MenengahTingkat Keterampilan
• 3.9+
• 106

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

• MenengahTingkat Keterampilan
• 4.3+
• 105

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

• DasarTingkat Keterampilan
• 4.3+
• 105

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

• LanjutanTingkat Keterampilan
• 3.9+
• 105

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

• DasarTingkat Keterampilan
• 3.5+
• 105

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

• LanjutanTingkat Keterampilan
• 4.4+
• 104

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

• LanjutanTingkat Keterampilan
• 3.6+
• 101

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

• MenengahTingkat Keterampilan
• 4.6+
• 100

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