Git Product home page Git Product logo
  • šŸ‘‹ Hi, Iā€™m @abeenoch
  • šŸ‘€ Iā€™m interested in data science/machine learning
  • šŸŒ± Iā€™m currently learning MLops
  • šŸ’žļø Iā€™m looking to collaborate on data science/machine learning projects
  • šŸ“« How to reach me [email protected] or [email protected]

Abe Enoch Aboluwarin 's Projects

alexnet icon alexnet

CNN using AlexNet om cifar-10 dataset

associative_mining_rule-a_priori_algorithm icon associative_mining_rule-a_priori_algorithm

Association rule mining is a technique to identify underlying relations between different items. Take an example of a Super Market where customers can buy variety of items. Usually, there is a pattern in what the customers buy. For instance, mothers with babies buy baby products such as milk and diapers. Damsels may buy makeup items whereas bachelo

classification-algorithms-with-python icon classification-algorithms-with-python

A final assignment of the course- Machine Learning for Python on Coursera. This notebook gives a good example of using ML framework to realize classification tasks.

clip icon clip

Contrastive Language-Image Pretraining

deep-learning-keras-tf-tutorial icon deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

fake-news-classifier icon fake-news-classifier

The aim of the project to classify news whether it is real or fake. The model is trained with the help of news data which contains 6335 news, which are classified real or fake. Scrapped data from a news website is used for the prediction.

finalyear icon finalyear

this contains all the code for my final year project, a 4 wheeled home assistant robot with object detection capabilities and a robotic arm.

hamoye icon hamoye

This repository contains Jupyter Notebooks of all projects/tasks done during my Internship at Hamoye | One School https://hamoye.com/

image-recognition-on-mnist-dataset icon image-recognition-on-mnist-dataset

Compared the performance of Alexnet, K Nearest Neighbor, Spatial Pyramid Matching, Support Vector Machine, and Deep Belief Network for image classification on MNIST dataset.

intrusion-detection icon intrusion-detection

This repository contains the code and dataset used for this project which is an intrusion detection model, useful in the field of cybersecurity, the NSL-KDD dataset was used as seen.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    šŸ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. šŸ“ŠšŸ“ˆšŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ā¤ļø Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.