Success Root Technologies · Career program
Machine Learning & Applied Data Science
Learn data preparation, supervised and unsupervised learning, model evaluation, feature engineering, deep learning foundations, and deployment.
AI-enabled curriculum
AI tools included in this course
Learn the core subject and use current AI assistants responsibly for faster analysis, creation, debugging, automation, and decision-making.
01Python02Jupyter03scikit-learn04TensorFlow05PyTorch
What you will learn
A current, project-led curriculum
Move from clear foundations to complete implementation through guided labs, reviews, and a portfolio-ready capstone.
- 01Python, statistics, and data preparation
- 02Regression, classification, and model selection
- 03Clustering and unsupervised learning
- 04Feature engineering and explainability
- 05Neural networks and deep learning foundations
- 06End-to-end machine learning capstone
Career outcomes
Skills you can demonstrate
Prepare real datasets for machine learning
Train and evaluate predictive models
Explain model behavior and business impact
Deploy a documented data science project
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