silaspenda Goto Github PK
Name: Silas Penda
Type: User
Bio: ML/AI Engineer | Computer Vision | NLP | Industrial Physicist
Name: Silas Penda
Type: User
Bio: ML/AI Engineer | Computer Vision | NLP | Industrial Physicist
This a supervised machine learning project to predict customer satisfaction based on factors like Gender, Customer Type, Age, Type of travel, Class, Flight distance, Cleanliness, Departure and Arrival Delay, etc
This is a book recommendation system using collaborative filtering based on the cosine similarity between user ratings using 'NearestNeighbors' algorithm
This is a Google Data Analytics capstone project that answers the question "How do annual members and casual riders use Cycistic bikes differently?" This is one of three questions that will guide a marketing strategy to increase the number of riders with memberships.
This is a supervised machine learning project using loan customer data to predict customer risk flag based on their Income, Age, Marital Status, Profession, Financial Responsibilities, etc
This is an analysis using an online store data to gain insights on items frequently purchased together and be able to recommend products to customers. also predict the probability of a customer purchasing an item if her buys a certain item.
This is an image classification project to classify Nigerian food to be either 'Yam', 'Egusi', 'Oha Soup', 'Afang Soup', 'Bread', 'Rice and Stew', 'Moi Moi', or 'Akara'. I created a streamlit web app to test the model. After the prediction, there is a link to a webpage where you can see recipes to make the predicted food.
This is a sales analysis of an online retail store to identify trends that will guide decision making to improve customer satisfaction which will increase sales
Config files for my GitHub profile.
This is an image classification project to classify sports images to be one of 100 trained sports classes. I created a streamlit web app to test the model.
This is a supervised machine learning project using telecom customer data to predict customers that would churn based on customer Age Group, Relationship Status, Subscribed Services, Charges, and Financial Responsibilities, etc.
Zero shot image classification
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.