Data & AI Training

Machine Learning

Name: Machine Learning
Availability: InStock

Understand and build machine learning models: regression, classification, trees, ensembles, clustering, tuning, pipelines and model deployment basics.

IntermediateAI & DataResearch

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At a glance

CategoryData & AI Training
LevelIntermediate
Curriculum6 modules, 4 project ideas
InstituteAIIT Roorkee, Roorkee

Course Overview

About this course

Machine learning lets systems learn patterns from data instead of following hand written rules. It powers recommendations, fraud detection, forecasting, medical imaging support and much more.

The course explains how the major algorithms work and when to use them, then builds strong practical skills with scikit-learn: preparing data, training, tuning, evaluating, interpreting and deploying models, with attention to fairness and failure cases.

Learning Objectives

By the end of Machine Learning, learners should be able to:

Explain how key supervised and unsupervised algorithms work
Build reproducible ML pipelines with scikit-learn
Tune hyperparameters and validate models properly
Interpret models and diagnose overfitting, leakage and bias
Serve a trained model through a simple API

Topics Covered

01Foundations

Types of learning
The ML workflow
Linear algebra and calculus intuition

02Supervised learning

Linear and logistic regression
k-NN and SVM
Decision trees

03Ensembles

Random forests
Gradient boosting
Handling imbalanced data

04Unsupervised learning

k-means and hierarchical clustering
PCA
Anomaly detection

05Model development

Pipelines and preprocessing
Cross validation and tuning
Interpretability

06From notebook to use

Saving models
Building a prediction API
Monitoring and responsible ML

Topic order and depth may be adjusted for the batch, format and learner level.

Practical Learning

Every module pairs explanation with hands-on work. Typical practical activities in this course:

Implementing simple algorithms from scratch to build intuition

Kaggle style modelling challenges

Error analysis sessions

Model deployment exercise

Representative Projects

Projects are chosen with mentors based on your level and interests. Examples include:

Credit risk or loan approval classifier
Demand forecasting model
Anomaly detection on transaction data
Deployed prediction API

Who Should Join

Data science learners
Engineering and computer science students
Python developers moving into AI
Researchers applying ML to their field

Prerequisites

Python with pandas and NumPy
Basic statistics

Learning Format

This course can be offered in the following formats, depending on the batch:

Short-Term Courses
Long-Term Courses
Certification-Oriented Programs
Weekend Programs
Workshops
Live Project Training
Internship Programs

Ask the team for current batch timings and the formats open for Machine Learning.

Career Relevance

Skills from this course are relevant to roles and directions such as:

Machine Learning Engineer
Data Scientist
AI Engineer foundation
Applied Research Assistant

Career relevance describes where these skills are commonly used. It is not a promise of employment. Learners can use AIIT Roorkee's placement assistance for career preparation support.

FAQs

Is Machine Learning the same as AI?

Machine learning is a major branch of AI focused on learning from data. AI is broader and also includes areas such as search, planning, reasoning and generative models.

Does the course include deep learning?

Neural networks are introduced conceptually. Deep Learning is a separate course covering neural networks, CNNs, sequence models and transformers in depth.

Can Machine Learning be used for research projects?

Yes. Many learners apply ML to academic or applied research problems. AIIT Roorkee also offers research mentorship through its Research & Innovation programs.

What is the duration and schedule of this course?

Duration, batch timings and format are shared when you enquire, because they depend on whether you choose a short-term, long-term, weekend or training format. Contact the team by phone, WhatsApp or email for current batches.

Is placement assistance available?

Learners can use AIIT Roorkee's placement assistance, which includes career counselling, CV preparation, LinkedIn development, interview preparation and mock interviews. Placement assistance is career preparation support and does not constitute a guarantee of employment or placement.

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