Machine Learning Program
Train supervised and unsupervised machine learning algorithms to solve classification, regression, and clustering tasks.
Track Role
ML Intern
Program Overview
Machine Learning empowers computers to learn patterns from data without being explicitly programmed. In this 4-week program, you will master regression models, classification trees, K-Means clustering, feature engineering, and model validation techniques.
Key Program Outcomes
Technologies & Tools Mastered
Guaranteed Deliverables
Detailed 4-Week Curriculum
Every week builds on the last, taking you from fundamentals to capstone project deployment.
ML Foundations & Feature Engineering
Understand machine learning taxonomy, data preprocessing, feature scaling, and train/test data splitting.
Topics Covered:
Regression & Classification Algorithms
Implement Linear/Polynomial Regression, Logistic Regression, K-Nearest Neighbors (KNN), and Support Vector Machines.
Topics Covered:
Ensemble Models & Unsupervised Clustering
Master Decision Trees, Random Forests, Gradient Boosting (XGBoost), and K-Means clustering for customer segmentation.
Topics Covered:
Model Optimization & API Deployment
Tune hyperparameters with GridSearchCV, export models with Joblib, and build a FastAPI model prediction microservice.
Topics Covered:
What Are Verified Credentials?
Upon completion of your 4-week program, you receive an official verified certificate featuring a unique Credential ID and QR code. Recruiters and employers can verify your certificate instantly on Trainlyze.
Frequently Asked Questions
Common questions regarding the Machine Learning program.
What software will I use?
Python, Scikit-Learn, VS Code, and Jupyter Notebooks.
Ready to Master Machine Learning?
Join hundreds of trainees in our upcoming 4-week batch. Work on real projects and earn verified credentials.
Apply Now