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Name: Ibrahim Odumas Odufowora
Type: User
Bio: Software Engineer & Machine Learning Algorithms Developer
Location: Michigan, USA
Name: Ibrahim Odumas Odufowora
Type: User
Bio: Software Engineer & Machine Learning Algorithms Developer
Location: Michigan, USA
Over-fitting and model tuning
Machaine learning algorithm for regression using regularized gaussian basis function.
Ensemble-Voting
Machaine learning algorithm for regression using regularized linear basis function.
This project involves the implementation of efficient and effective LinearSVC on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.
This project involves the implementation of efficient and effective Logistic Regression (FROM SCRATCH) classifiers on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.
I developed a function to perform regularized linear and Gaussian basis functions for regression. Some dataset from the UCI machine learning repository were used to validate the function.
Models for Predicting Missing Stock Prices.
Java/Tomcat based web application
This project involves the implementation of efficient and effective MLP (multi-layer perceptron) on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.
Problems Identification: This project involves the implementation of efficient and effective KNN classifiers on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.
I implemented a Naive Bayes classifier form scratch and applied it on MNIST dataset.
Gradient descent via OLS
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Application of predictive modeling technique
Models for Quora Dataset Release: Question Pairs
Implemented a production ready RESTful API with Connexion, OpenAPI, Flask, and Gunicorn libraries/technologies.
Sentiment Analysis of Nov 6, 2016 Election using Twitter dataset.
This project involves the implementation of efficient and effective polynomial SVC on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.
This project involves the implementation of efficient and effective RBF SVC on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.
Pulling and working with data from the Star Wars API.
Pulling and working with data from the Star Wars API.
The thyroid gland is an endocrine gland. The thyroid organ discharges thyroxine (T4) and triiodothyronine (T3) into the bloodstream as the principal hormones. The capacities of the thyroid hormones are to direct the rate of digestion system and affect the overall development of the human body.
iOS application for real-time airport status and currency conversion.
Python web crawler with authentication.
Retrieving data from Youtube.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
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.