The complete job-ready track: 120 hours covering Python, EDA, statistics, visualisation, supervised and unsupervised learning, feature engineering and a portfolio capstone.
Introduction
The complete job-ready track: 120 hours covering Python, EDA, statistics, visualisation, supervised and unsupervised learning, feature engineering and a portfolio capstone.
Learning outcome
Build, evaluate and communicate machine learning models end to end, and finish with portfolio-ready projects on real-world datasets.
Curriculum
Click any module to expand and view topics and hands-on labs included.
Python setup, data types, collections, functions, files • 14 hrs
Hands-on lab
Results
Train and compare regression and classification models with suitable metrics.
Apply K-means, hierarchical clustering and PCA, and interpret segments responsibly.
Build reproducible pipelines with encoding, scaling, leakage prevention and error analysis.
Deliver an end-to-end project with notebook, README, evaluation and presentation.
Ask for fees, batches and the full syllabus on WhatsApp.
Join live, hands-on classes at our Goa centres, with a certificate and placement support. See every Machine Learning course we offer, or visit the centre closest to you.
Build the Python and data-analysis foundations for machine learning: Python for data work, NumPy, pandas, data cleaning and exploratory data analysis.
Go from Python and EDA to statistics, visualisation and supervised learning. Train, evaluate and compare regression and classification models.