Machine Learning
Classical & modern ML in supervised classroom setup.
Course overview
The Machine Learning program at Algomind Academy is a fully offline, classroom-based training designed for students who want to master Machine Learning through daily hands-on practice, instructor-led sessions and real industry-style projects at our Indore campus.
- Build strong fundamentals in Machine Learning through classroom instruction
- Write, debug and ship production-grade code with confidence
- Complete real-world projects reviewed by mentors
- Prepare for technical interviews with mock rounds and resume support
- Basic computer literacy
- Willingness to attend daily offline classes at our Indore campus
- A laptop is recommended (institute lab available for practice)
- Students & fresh graduates aiming for tech roles
- Working professionals upskilling for better opportunities
- Anyone who prefers focused offline classroom learning
- Daily instructor-supervised lab practice
- Weekly problem-solving sprints
- Peer programming & code reviews
- Guided classroom mini-projects
- Team capstone built inside campus lab
- Portfolio-ready GitHub repository with instructor reviews
- Software Developer
- Junior Engineer
- Associate roles at product & service companies
- Internship placements via institute network
7-Module Classroom Curriculum
Click any module to expand and view the topics covered inside our campus lab.
Module 1ML Foundations
- Supervised vs unsupervised
- Bias/variance tradeoff
- Sklearn workflow
Module 2Regression
- Linear, polynomial, regularization
- Gradient descent
- Evaluation metrics
Module 3Classification
- Logistic regression, KNN, SVM
- Decision trees & Naive Bayes
- Confusion matrix & ROC
Module 4Ensembles
- Random Forest
- XGBoost, LightGBM
- Stacking & blending
Module 5Unsupervised Learning
- K-Means, DBSCAN
- PCA & dimensionality reduction
- Anomaly detection
Module 6Model Ops
- Cross-validation, hyperparameter tuning
- Pipelines
- MLflow / model tracking basics
Module 7Capstone
- End-to-end ML pipeline
- FastAPI deployment
- Portfolio write-up
Choose your batch
What our students say
"Classroom environment kept me consistent. Code reviews with the instructor were gold — I actually understood the 'why'."
"Real datasets, real mentorship. My portfolio landed me interview calls within 2 months."
"Best decision I made in Indore. Daily lab practice made concepts click properly."
"Built a real RAG chatbot in class. The projects section is way beyond typical tutorials."
Frequently asked questions
Is this course fully offline?
Yes. All classes are conducted in-person at our Indore campus with instructor-led sessions and lab practice.
Do I need prior experience?
Beginner-level courses require no experience. Intermediate/advanced tracks are best after completing our foundation programs.
Will I get a certificate?
Yes — you receive a Course Completion certificate, plus a Project Completion certificate on submitting the capstone.
Is internship included?
Eligible top performers are offered internships at partner companies after completing the course.
What are the fees?
Fees vary by course. Please call or visit the campus for the current fee structure and installment options.
Can I switch batch timings?
Yes, you can shift between morning, afternoon or evening batches subject to seat availability.
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Ready to join the next batch?
Fill the admission form for Machine Learning and our team will call you back to schedule your campus visit.