Machine Learning Track
Build and deploy ML models for real-world applications
Our Machine Learning track is designed for aspiring data scientists who want to master the art and science of building predictive models. From fundamental algorithms to deep learning and deployment, you will gain hands-on experience with industry-standard tools and techniques.
Track Overview
Duration
6 months
Commitment
10-12 hours/week
Level
Beginner to Intermediate
Skills You'll Learn
Python
Scikit-learn
TensorFlow
PyTorch
MLOps
Model Deployment
Prerequisites
- Basic Python programming
- High school mathematics
- Passion for learning
What You'll Learn
Curriculum Overview
Month 1-2
Foundations
- Python for Data Science
- NumPy & Pandas Mastery
- Data Visualization
- Statistics for ML
Month 3-4
Core Algorithms
- Supervised Learning
- Unsupervised Learning
- Feature Engineering
- Model Evaluation
Month 5-6
Advanced & Deployment
- Deep Learning Intro
- Natural Language Processing
- ML Pipelines
- Model Deployment
Your Guides
Machine Learning Mentors
Dr. Kwame Asante
Senior Data Scientist
Abena Mensah
ML Engineer
Microsoft
Dr. Ama Serwaa
AI Research Scientist
IBM Research
Join Us
Apply for Machine Learning Track
Ready to start your journey? Fill out the form below.
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