Build job-ready skills with our Classroom and Online Machine Learning Training at WebAsha Technologies. It is hands-on, practical and focused on employability.
Training Overview:
is a hands-on, job-oriented program on machine learning with Python. It covers the ML workflow, supervised learning (regression and classification), unsupervised learning (clustering and dimensionality reduction), model evaluation and tuning, feature engineering, ensemble methods, an introduction to deep learning and neural networks, and deploying models - preparing you for machine learning engineer and data scientist roles.
Intended Audience:
This course is ideal for Python developers, data analysts and data-science aspirants who want to master machine learning and move into ML engineer or data scientist roles.
Topics Covered:
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ML Workflow: From data to model.
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Supervised Learning: Regression and classification.
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Unsupervised Learning: Clustering and PCA.
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Model Evaluation: Metrics and validation.
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Feature Engineering: Preparing better inputs.
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Ensembles: Random forests and boosting.
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Deep Learning (Intro): Neural networks.
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Deployment: Serving models.
Requirements:
Basic computer familiarity is recommended. Online participants need a stable internet connection and a laptop/desktop for the live labs.
Pre-Requisites:
Basic Python and mathematics (statistics and linear algebra basics) are recommended. If you are new to Python, our Python Programming course is the ideal first step.
Career Benefits:
Machine learning is a premium skill. In India, ML engineers typically earn ₹6 LPA to ₹40+ LPA as AI adoption grows.
