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
Awards and Recognitions
