david-adewoyin / neuralstyletransfer Goto Github PK

I am Software Developer. I love to learn and share my knowledge with other people.In my free time i read books, mostly ebooks produced by the folks at Standard Ebooks. I have a lot of stuff i have done ranging from mobile applications built using flutter to web appications and machine learning projects.

• Yatshop:Developed the prototype of an E-commerce website builder with a custom Html theme using Rust.
• Coupon Cutter:Implemented both the frontend and backend of a mobile coupon system using Flutter and Golang respectively.
• Country Directory: Developed mobile application using Flutter and GraphQL that allows users to search and get basic information about any country in the world

• Car Price Analysis and Prediction: Collected and analysed regional car price data using Python. Machine learning models for predicting car prices were developed and deployed using Flask.
• Bank Marketing Campaign Analysis and Success Prediction: Developed machine learning models for correctly classifying the success of a bank marketing campaign with indepth data exploration and visualization using Python and Tableau.
• Machine Learning Basics: Implemented popular machine learning algorithms such as linear regression, softmax regression, K nearest neighbor, decision trees, bagging, random forest, etc from scratch using only plain Python and Numpy.
• HackerNews Project: Using the official API, I scraped over 1.2 million posts and 70k+ usernames to perform EDA and entity recognition on data.
• Apple Podcast Project: Scraped and published podcast metadata and user reviews dataset for machine learning projects. 

• NeuralStyleTransfer: Developed Tensorflow Implementation of A Neural Algorithm of Artistic Style.
• U-Net Image Segementation: Developed Tensorflow Implementation of the U-Net image segmentation architecture as described in the original paper.

📫 How to reach me: You can reach me through email or on Linkedlin