DSU Online

Advance Your Skills

Machine Learning

Understand how systems learn from Data and build Models that improve decision-making without manual Programming

Duration

3 Years

(6 Semesters)

Fees / Semester

INR 20,000

Total Fees

INR 1,20,000

About Machine Learning

This elective equips you with hands-on skills to preprocess Data, train Models, understand Algorithms, and evaluate results. You will explore supervised vs unsupervised learning and work with real-world datasets to create predictive and Intelligent Systems.

Skills Gained: Data Preprocessing, Model training, Algorithms, supervised vs unsupervised Learning, Model evaluation.
Role Mapping: Machine Learning Intern, Data Science Trainee, ML Model Tester.
Learner Benefit: Opportunity to work on predictive Models and Data Projects, even remotely via Cloud-based tools.

Learning Modules

Data Preprocessing

Cleaning, transforming, and preparing raw data for model training to ensure accurate and reliable results.

Model Training

Building Machine Learning Models, training Algorithms, and tuning parameters to optimize Performance and Predictions.

Algorithms & Techniques

Understanding supervised vs unsupervised Learning, Regression, Classification, Clustering, and recommendation Algorithms.

Model Evaluation

Measuring Model accuracy, precision, recall, F1 score, and other evaluation metrics to ensure reliability of Predictions.

Practical Projects & Cloud Tools

Apply Machine learning on real-world Datasets and predictive Projects, even remotely via Cloud-based platforms and tools.

Career Path

Machine Learning Intern

Assist in data preprocessing, model building, and training supervised and unsupervised models. Gain hands-on experience with ML pipelines and predictive analytics.

Data Science Trainee

Analyze datasets, identify patterns, build predictive models, and learn statistical and machine learning techniques for actionable insights.

ML Model Tester

Evaluate ML models for accuracy and performance, test algorithm outputs, and validate model predictions for deployment readiness.

AI/ML Developer

Design and deploy ML models into applications, implement algorithms, and optimize systems for intelligent decision-making processes.

Predictive Analytics Specialist

Develop predictive models using historical data, simulate business scenarios, and provide insights to improve operational and strategic decision-making.

Data Engineer

Prepare and manage large datasets, build data pipelines, and support ML teams with clean, structured data for model development.

AI Research Assistant

Work on experimental ML/AI models, explore novel algorithms, and support research projects aimed at improving AI solutions.

Business Intelligence Analyst

Translate data insights from ML models into actionable business recommendations, dashboards, and reports for stakeholders.

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Awards and Recognitions

DSU Online