binarybeastt Goto Github PK

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Name: Bolarinwa Ismail

Type: User

Bio: A machine Learning developer

👋 Hi, I’m @binarybeastt
👀 I’m interested in Machine Learning Engineering
🌱 I’m currently learning Machine Learning
💞️ I’m looking to collaborate on Machine Learning projects
📫 How to reach me mail: [email protected]

Bolarinwa Ismail's Projects

awesome-project-ideas

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

deeplearning.ai-sequence-models-course

A repository containing all assignment quizzes from the sequence models course in the deep learning specialization

This is a private hackathon open to Data Science Nigeria AI+ members to qualify for the 2021 AI Bootcamp. If you would like to participate, please fill out the QUALIFICATION HACKATHON form here https://www.datasciencenigeria.org/2021-bootcamp/. Sapa.com is one of the leading eCommerce platforms in Nigeria with millions of daily complete transactions. The goods and services on sapa.com cater for both the elite and the masses which makes it the first choice for almost everybody in Nigeria. Due to the COVID-19 pandemic that struck the entire world in all areas of living, the companies' daily complete transactions have dropped drastically to thousands. The CEO, Mr Echoke in his recent actions to put the platform back to the top of the eCommerce platforms chain in the country has approved the use of Artificial intelligence in User Personality Analysis. The company has contracted your team consisting of AI professionals with a special focus on recommender system development to build a robust intelligent model capable of recommending products and services to Users based on their activities on sapa.com. Your team lead has assigned you to the building of a model capable of predicting users’ responses to marketing campaigns based on the features in the provided dataset by the sapa.com data engineer. The next phase of the project is highly dependent on the accuracy of your model as this is the foundation of what will constitute the features of the proposed recommender system development. Good luck!

facialemotiondetector

😜 A web app that detects your face emotions using AI and matches them with emojis. Built using ReactJS and Face-API.js: a JavaScript API for face detection and face recognition in the browser implemented on top of the tensorflow.js core API.