Hi there!
Welcome to my website!
My name is Ibiene (ee-bee-ay-nay). I am an Oil & Gas Engineer that loves data and problem-solving. This website is a technical journal (if you will) of projects I have completed, technical concepts I feel inclined to wax eloquent about, and tips/tricks I have picked up along my journey.
I hope you enjoy your visit!
Latest Projects
Fruit Classification with Convolutional Neural Networks
In this project, I build & optimize a Convolutional Neural Network to classify images of fruits to help a grocery retailer enhance & scale their sorting & delivery processes. Continue reading Fruit Classification with Convolutional Neural Networks
Enhancing Target Accuracy with Machine Learning
In this project, I build a classification model to predict which customers will sign up for a grocery store’s Delivery Club. The final classification model chosen showed an accuracy of > 95% and F1-score of 0.92. Continue reading Enhancing Target Accuracy with Machine Learning
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Latest Posts
Popular Git Commands
This blog briefly goes through some essential git commands that may prove handy. Continue reading Popular Git Commands
Image Search Engine
The purpose of this project is to build an image search engine that would help customers search for products similar to what they are searching for. Continue reading Image Search Engine
10 steps to using Virtual Environments with pip
Creating, Activating and De-activating virtual environments Continue reading 10 steps to using Virtual Environments with pip
Fruit Classification using CNN (Keras)
The goal for the project is to build a convolutional neural network (CNN) that would classify fruits for a robotics company, for use in sorting grocery items. We use Image Augmentation and Dropout to enhance the performance of the network. We also used Keras tuner to come up with the optimal setup for the highest accuracy. Continue reading Fruit Classification using CNN (Keras)
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