Course Overview
Foundations of machine learning with Python—supervised learning, model evaluation, and applied mini projects aligned with industry expectations.
Practical modules, projects & placement support — Krishna Computer Center, Ahmedabad.
Foundations of machine learning with Python—supervised learning, model evaluation, and applied mini projects aligned with industry expectations.
Duration: 5 to 7 Months | Fees: Contact for GPU lab access and batch details.
Python for ML, NumPy/Pandas, regression, classification, clustering, model tuning, intro to neural networks, project work.
Python, Jupyter, scikit-learn, Git; optional cloud notebook basics.
ML Intern, Data Science trainee, AI application support roles.
Approx. 3.0 LPA - 7.0 LPA depending on depth of projects and math readiness.
Kaggle-style tasks, project demos, interview prep for ML fundamentals.
Q: Math requirements? A: Basic statistics and linear algebra concepts are covered alongside practical ML.