Learn in the classroom or online with the Machine Learning training at WebAsha Technologies. The sessions are practical and aimed at getting you hired.
Training Overview:
This job-oriented course teaches 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. The course prepares you for machine learning engineer and data scientist roles.
Intended Audience:
The course suits Python developers, data analysts and people aiming for data science who want to learn machine learning and move into ML engineer or data scientist roles.
Topics Covered:
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ML Workflow: From data to a working 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 for a model.
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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:
You should be comfortable using a computer. Online participants need a stable internet connection and a laptop or desktop for the live labs.
Pre-Requisites:
Basic Python and mathematics (the basics of statistics and linear algebra) are recommended. If you are new to Python, start with our Python Programming course.
Career Benefits:
Machine learning skills are well paid. In India, ML engineers typically earn ₹6 LPA to ₹40+ LPA as AI adoption grows.
