project
What Makes a Good Book?
- MellanliggandeFärdighetsnivå
- 4.6+
- 205
Generate features from text and numeric variables to predict the popularity of books.
Maskininlärning
project
Generate features from text and numeric variables to predict the popularity of books.
Maskininlärning
project
Classify food images using Hugging Face models, automatically recognizing and categorizing food items.
Artificiell intelligens
project
Build a PyTorch-powered traffic prediction system using time-series skills and deep learning to forecast traffic volume.
Artificiell intelligens
project
Step into a data scientists role and learn how to make product decisions with A/B testing in Python!
Sannolikhet och statistik
project
Help a fast food chain save money and place more accurate orders by building a model to predict food sales.
Maskininlärning
project
Enhancing Transportation Safety through Traffic Sign Detection
Artificiell intelligens
project
Automate e-commerce processes with image classification.
Maskininlärning, Artificiell intelligens
project
Detect pneumonia on X-ray images by fine-tuning a pre-trained CNN.
Artificiell intelligens
project
Leverage machine learning algorithms and models for marketing analytics tasks in a streaming platform.
Maskininlärning
project
Build an educational quiz bot to generate questions and answers to quiz yourself or your students.
Artificiell intelligens
project
Explore a dataset containing a centurys worth of Nobel Laureates. Who won? Who got snubbed?
Datamanipulation, Datavisualisering
project
Analyze subscription data for a SaaS company to identify what drives customer subscription renewals.
Datamanipulation
project
Using OpenAI API for text translation, grammar checking, and pronunciation feedback
Artificiell intelligens
project
Build an AI-powered airline chat assistant to generate custom responses and identify user intent.
Artificiell intelligens
project
Explore Super Bowl viewership data in the age of soaring ad costs.
Datamanipulation, Datavisualisering
project
Apply your data manipulation skills to time series data on water levels of the River Thames.
Python-programmering, Datamanipulation
project
Use DataFrames to read and merge employee data from different sources.
Dataförberedelse
project
Reanalyze the data behind one of the most important discoveries of modern medicine: handwashing.
Sannolikhet och statistik
project
Manipulate and plot time series data from Google Trends to analyze changes in search interest over time.
Datavisualisering
project
Join a leading HR consultancy to use regular expressions and data preprocessing to find tech job candidates from thousands of resumes.
Dataförberedelse, Datamanipulation
project
Cluster NBA players by performance stats in the 2022-2023 season.
Maskininlärning
project
Develop a Wedding management system called Happea(Happily Ever After) to manage wedding invitations and the RSVP of Guests.
Programvaruutveckling
project
Analyze Twitter follower data with Python! Use Pandas and NetworkX to build functions, identify influential users, and explore network structures.
Explorativ dataanalys
project
Examine the relationship between heart rate and heart disease using multiple logistic regression.
Datamanipulation, Sannolikhet och statistik, Datavisualisering
project
Dive into the world of banking transactions to uncover hidden anomalies and protect customer confidence. Ready to take on the challenge?
Sannolikhet och statistik
project
Apply clustering and NLP techniques to sort text data from negative reviews in the Google Play Store into categories.
Maskininlärning
project
Process insurance claims with a Pinecone vector database and OpenAI embeddings.
Artificiell intelligens
project
Analyze data about electronic vehicle charging behavior to better use shared charging stations.
Explorativ dataanalys
project
Analyze CO2 emissions across geographical regions and fuel sources to understand environmental impacts in the energy sector.
Sannolikhet och statistik
project
Explore habitat data using factor and survival analysis tools.
Sannolikhet och statistik