stephen-olet/stephen-olet.github.io

My Portfolio - Personal Website

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stephen-olet/SACCO_App

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stephen-olet/PowerBI_Projects

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stephen-olet/Tableau_Projects

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stephen-olet/Food_Delivery_Time

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stephen-olet/Course_Recommender_System

The Course Recommendation System is a final project of the IBM Machine Learning Specialization implemented using Python and streamlit framework, offering an interactive web application for personalized course recommendations

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stephen-olet/VQA_Demo

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stephen-olet/Head_Counting_System

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stephen-olet/SACCO

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stephen-olet/interactive_streamlit

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stephen-olet/everyday_streamlit

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stephen-olet/blank-app-1

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stephen-olet/github-pages Fork of skills/github-pages

Create a site or blog from your GitHub repositories with GitHub Pages.

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stephen-olet/portfolio

My clone repository

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stephen-olet/logistic_regression

We will use a real-world dataset that contains detailed nutrition information about food items for people with diabetes. The objective is to classify whether a diabetic patient should choose More Often, Less Often, or In Moderation for a specific food item based on the nutrition information in the dataset.

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stephen-olet/decision_tree

Decision tree model outputs a set of rules, and each rule is a If-else chain from root to a leaf node. Decision tree mimics human reasoning process which makes it very intuitive to human users and makes it a high-interpretable model. We will be using a tumor sample dataset, which contains lab test results about tumor samples.

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stephen-olet/machinelearning

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stephen-olet/Extract_Bag_of_Words

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