Project
Building an E-Commerce Clothing Classifier Model with Keras
- GemiddeldVaardigheidsniveau
- 4.5+
- 192
Automate e-commerce processes with image classification.
Machine learning, Kunstmatige intelligentie
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135 ProjectenBekijk de bijbehorende cursussen
Project
Image Processing for Object Detection Models
- GemiddeldVaardigheidsniveau
- 4.3+
- 191
Building an image processing pipeline for data augmentation.
Datavisualisatie, Datamanipulatie
Project
Data-Driven Decisions with A/B Testing
- GemiddeldVaardigheidsniveau
- 4.5+
- 188
Step into a data scientists role and learn how to make product decisions with A/B testing in Python!
Kansrekening en statistiek
Project
Compare Baseball Player Statistics using Visualizations
- GemiddeldVaardigheidsniveau
- 4.7+
- 183
Use MLBs Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.
Datavisualisatie
Project
Detect Traffic Signs with Deep Learning
- GeavanceerdVaardigheidsniveau
- 4.4+
- 183
Enhancing Transportation Safety through Traffic Sign Detection
Kunstmatige intelligentie
Project
Modeling Car Insurance Claim Outcomes
- GemiddeldVaardigheidsniveau
- 3.9+
- 178
Use logistic regression to predict whether people will make a claim on their car insurance!
Machine learning
Project
Visualizing the History of Nobel Prize Winners
- BasisVaardigheidsniveau
- 3.6+
- 173
Explore a dataset containing a centurys worth of Nobel Laureates. Who won? Who got snubbed?
Datamanipulatie, Datavisualisatie
Project
Predict Future Sales of Fast-Food Menu Items
- GemiddeldVaardigheidsniveau
- 4.3+
- 172
Help a fast food chain save money and place more accurate orders by building a model to predict food sales.
Machine learning
Project
Classifying X-Ray Images using PyTorch
- GeavanceerdVaardigheidsniveau
- 4.5+
- 156
Detect pneumonia on X-ray images by fine-tuning a pre-trained CNN.
Kunstmatige intelligentie
Project
Analyzing River Thames Water Levels
- GemiddeldVaardigheidsniveau
- 3.5+
- 152
Apply your data manipulation skills to time series data on water levels of the River Thames.
Programmeren met Python, Datamanipulatie
Project
Predicting Traffic Volume with PyTorch
- GemiddeldVaardigheidsniveau
- 4.7+
- 144
Build a PyTorch-powered traffic prediction system using time-series skills and deep learning to forecast traffic volume.
Kunstmatige intelligentie
Project
Combating Subscriber Churn with Targeted Marketing
- GemiddeldVaardigheidsniveau
- 4.6+
- 139
Leverage machine learning algorithms and models for marketing analytics tasks in a streaming platform.
Machine learning
Project
Analyzing Super Bowl Viewership and Advertising
- BasisVaardigheidsniveau
- 4.1+
- 139
Explore Super Bowl viewership data in the age of soaring ad costs.
Datamanipulatie, Datavisualisatie
Project
Basketball Analytics: Clustering Players by Performance Metrics
- GeavanceerdVaardigheidsniveau
- 4.4+
- 134
Cluster NBA players by performance stats in the 2022-2023 season.
Machine learning
Project
Tech Talent Recruiting with Regex
- BasisVaardigheidsniveau
- 4.3+
- 134
Join a leading HR consultancy to use regular expressions and data preprocessing to find tech job candidates from thousands of resumes.
Datavoorbereiding, Datamanipulatie
Project
Personalized Language Tutor
- BasisVaardigheidsniveau
- 4.6+
- 131
Using OpenAI API for text translation, grammar checking, and pronunciation feedback
Kunstmatige intelligentie
Project
Build an Educational Quiz Bot with the OpenAI API
- BasisVaardigheidsniveau
- 4.3+
- 131
Build an educational quiz bot to generate questions and answers to quiz yourself or your students.
Kunstmatige intelligentie
Project
What is Your Heart Rate Telling You?
- GemiddeldVaardigheidsniveau
- 4.0+
- 131
Examine the relationship between heart rate and heart disease using multiple logistic regression.
Datamanipulatie, Kansrekening en statistiek, Datavisualisatie
Project
Consolidating Employee Data
- GemiddeldVaardigheidsniveau
- 4.5+
- 130
Use DataFrames to read and merge employee data from different sources.
Datavoorbereiding
Project
Social Networks: A Twitter Network Analysis
- GemiddeldVaardigheidsniveau
- 4.0+
- 128
Analyze Twitter follower data with Python! Use Pandas and NetworkX to build functions, identify influential users, and explore network structures.
Exploratieve data-analyse
Project
Dr. Semmelweis and the Importance of Handwashing
- GemiddeldVaardigheidsniveau
- 4.2+
- 117
Reanalyze the data behind one of the most important discoveries of modern medicine: handwashing.
Kansrekening en statistiek
Project
Detecting Anomalous Transactions
- GemiddeldVaardigheidsniveau
- 4.6+
- 116
Dive into the world of banking transactions to uncover hidden anomalies and protect customer confidence. Ready to take on the challenge?
Kansrekening en statistiek
Project
How Environmental Factors Influence Wildlife Populations
- GeavanceerdVaardigheidsniveau
- 4.2+
- 115
Explore habitat data using factor and survival analysis tools.
Kansrekening en statistiek
Project
Optimize LLMs with Llama Fine-tuning
- GemiddeldVaardigheidsniveau
- 4.9+
- 114
Build an AI-powered airline chat assistant to generate custom responses and identify user intent.
Kunstmatige intelligentie
Project
Exploring Experimental Design in the Energy Field
- GemiddeldVaardigheidsniveau
- 4.3+
- 114
Analyze CO2 emissions across geographical regions and fuel sources to understand environmental impacts in the energy sector.
Kansrekening en statistiek
Project
Creating Floral Patterns Inspired by Phyllotaxis
- BasisVaardigheidsniveau
- 4.1+
- 113
Use R to make art and create imaginary flowers inspired by nature.
Datavisualisatie
Project
Understanding Search Interest with Google Trends
- GemiddeldVaardigheidsniveau
- 4.3+
- 112
Manipulate and plot time series data from Google Trends to analyze changes in search interest over time.
Datavisualisatie
Project
Building Wedding Planning Software
- GeavanceerdVaardigheidsniveau
- 4.1+
- 112
Develop a Wedding management system called Happea(Happily Ever After) to manage wedding invitations and the RSVP of Guests.
Softwareontwikkeling
Project
Reveal Categories Found in Data
- GemiddeldVaardigheidsniveau
- 4.5+
- 111
Apply clustering and NLP techniques to sort text data from negative reviews in the Google Play Store into categories.
Machine learning
Project
Insurance Claim Processing with Pinecone
- GemiddeldVaardigheidsniveau
- 3.9+
- 108
Process insurance claims with a Pinecone vector database and OpenAI embeddings.
Kunstmatige intelligentie