Banana Ripeness Classifier
A practical image classification demo used to teach Convolutional Neural Networks (CNNs) and deployment principles.
View RepoPersonalised 1:1 tutoring in Python, Data Analysis, and Machine Learning. Practical projects, clear paths, and a trackable progress plan — built for learners who want results fast.
8 Focused Sessions per program
Flexible Pace (2-4 weeks)
Real-World Projects & Demos
Online & Nairobi (Remote first)
AI/ML Engineer | Tutor | Backend Dev
Focused subjects designed to move you from concept to confident application.
Focus on clean syntax, idiomatic Python, algorithmic thinking, and setting up development environments.
Deep dives into Pandas, data transformation, statistical review, and creating informative visualizations with Matplotlib/Seaborn.
Theory, practical application using Scikit-learn, model evaluation, and introduction to PyTorch/TensorFlow concepts.
All packages are 8 sessions long. Select your program below.
Beginners & up — syntax, data structures, and problem solving.
Master Pandas, cleaning, statistical analysis, and compelling data visualization.
Foundational ML to Deep Learning: CNNs, model evaluation, and deployment concepts.
Teaching focused projects to demonstrate practical application of concepts.
A practical image classification demo used to teach Convolutional Neural Networks (CNNs) and deployment principles.
View RepoE‑commerce site for Cenocade Enterprises showcasing premium beef tallow products with product catalog, cart and orders pages.
Live SiteIntroductory pipelines for basic image recognition, used as a fundamental exercise in Deep Learning workshops.
View RepoA supervised learning project focused on Data Preprocessing and building/evaluating classification models.
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