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Machine Learning
Learn ML models, evaluation, feature engineering, and applied prediction systems.
Duration2 monthsLearning modeOnline expert-led with notebook labsOutcomeVerified certificate
Program overview
Build capability you can demonstrate, not just describe.
A hands-on machine learning program covering statistical foundations, supervised and unsupervised models, feature engineering, and deployment-ready workflows.
Duration2 monthsLearning modeOnline expert-led with notebook labsLevelIntermediateReviewExpert reviewed
Domain Features
Domain Features
Everything you need - structured learning, real projects, expert support & certification.
6 Months LMS Access
Access videos, files, quizzes & resources anytime
- Complete materials
- Self-paced learning
- Extra downloadable files
Hands-on Projects
Work on real industry-level problems
- Hands-on experience
- Real-time projects
- Personal expert support
Certification
Receive QR-verified certificate after completion
- Industry-recognised
- QR-verified certification
- Includes capstone evaluations
Doubt Solving
Ask doubts anytime via LMS or chat
- Expert-led doubt solving
- Fast response time
- Detailed explanations
Placement Support
Resume, interview prep & job assistance
- Interview assistance
- Placement support
- Job readiness plan
Curriculum
A clear path from foundations to career proof.
Explore each module to see what you’ll learn.
Machine learning fundamentals and data preparation
Explore learning problem types, dataset splits, and their practical applications.
Machine learning fundamentals and data preparation
Explore learning problem types, dataset splits, and their practical applications.
- Learning problem types
- Dataset splits
- Missing-value treatment
- Encoding categorical data
- Preventing data leakage
Supervised and unsupervised learning algorithms
Explore linear and logistic regression, decision trees, and their practical applications.
Supervised and unsupervised learning algorithms
Explore linear and logistic regression, decision trees, and their practical applications.
- Linear and logistic regression
- Decision trees
- Ensemble methods
- Clustering with k-means
- Dimensionality reduction
Feature engineering and model evaluation
Explore feature scaling, interaction features, and their practical applications.
Feature engineering and model evaluation
Explore feature scaling, interaction features, and their practical applications.
- Feature scaling
- Interaction features
- Feature selection
- Classification metrics
- Regression error metrics
Model training, validation, and optimization
Explore cross-validation, hyperparameter search, and their practical applications.
Model training, validation, and optimization
Explore cross-validation, hyperparameter search, and their practical applications.
- Cross-validation
- Hyperparameter search
- Regularization
- Learning curves
- Class imbalance handling
Building and deploying practical ML solutions
Explore model serialization, inference endpoints, and their practical applications.
Building and deploying practical ML solutions
Explore model serialization, inference endpoints, and their practical applications.
- Model serialization
- Inference endpoints
- Input schema validation
- Prediction monitoring
- Model versioning
Real-world projects
Real-World Hands-On Projects
Build strong industry-ready skills with practical experience.
Customer Churn Prediction
A practical customer churn prediction project focused on applying domain concepts to an industry-oriented use case.
View Details
Key Features
- Churn probability scoring
- Customer risk tiers
- Feature preparation
- Model evaluation
- Retention insights
- Python
- Pandas
- Scikit-learn
- XGBoost
- SHAP
- Jupyter
House Price Prediction
A practical house price prediction project focused on applying domain concepts to an industry-oriented use case.
View Details
Key Features
- Price prediction model
- Feature engineering
- Error analysis
- Price comparison
- Model interpretation
- Python
- Pandas
- Scikit-learn
- XGBoost
- Matplotlib
- Jupyter
Fraud Detection Model
A practical fraud detection model project focused on applying domain concepts to an industry-oriented use case.
View Details
Key Features
- Transaction feature engineering
- Class- imbalance handling
- Fraud scoring
- Threshold tuning
- Model explainability
- Python
- Pandas
- Scikit-learn
- XGBoost
- imbalanced-learn
- SHAP
Customer Segmentation System
A practical customer segmentation system project focused on applying domain concepts to an industry-oriented use case.
View Details
Key Features
- Customer clustering
- Segment profiling
- Cluster validation
- Visual segment maps
- Business recommendations
- Python
- Pandas
- Scikit-learn
- KMeans
- PCA
- Plotly
Recommendation Engine
A practical recommendation engine project focused on applying domain concepts to an industry-oriented use case.
View Details
Key Features
- User-item modelling
- Similarity scoring
- Recommendation ranking
- Cold-start handling
- Offline evaluation
- Python
- Pandas
- Scikit-learn
- Surprise
- NumPy
- Jupyter
Demand Prediction Model
A practical demand prediction model project focused on applying domain concepts to an industry-oriented use case.
View Details
Key Features
- Time-series feature creation
- Demand forecasting
- Seasonality analysis
- Forecast evaluation
- Inventory signals
- Python
- Pandas
- Statsmodels
- XGBoost
- Matplotlib
- Jupyter
Expert guidance
Review from someone who understands the work.
Machine learning practitioner with analytics delivery experience
Live guidance, project reviews, doubt support, and interview feedback.
Career outcomes
Know where this program can take you.
ML intern Data science trainee AI analyst Junior ML engineer
Interview preparation
Practice explaining the decisions behind your work.
- ML algorithm Q&A
- Python coding rounds
- Project explanation practice
- Case study preparation
Program plans
Choose the support level that fits your goal.
Every plan provides structured learning and certification. Upgrade when you want deeper expert review.
LaunchStrong start
INR 7,999
- 16 Live Sessions
- Recorded Lessons
- Hands-on Learning
- Real-Time Project
- Doubt-Solving Support
- Basic Expert Support
- Interview Assistance
- 6 Months LMS Access
- QR-Verified Certification
ElevateMost popular
INR 9,999
Everything in Launch, plus
- 22 Live Sessions
- Recorded Lessons
- Hands-on Learning
- Real-Time Projects
- Personal Expert Support
- Doubt-Solving Support
- Expert Guidance & Review
- Interview Preparation & Assistance
- Placement Support
- 6 Months LMS Access
- QR-Verified Certification
MasteryMaximum support
INR 14,999
Everything in Elevate, plus
- 28 Live Sessions
- Recorded Lessons
- Advanced Hands-on Learning
- Multiple Real-Time Projects
- Personal Expert Support
- Detailed Expert Review
- Doubt-Solving Support
- Advanced Interview Preparation
- Placement Assistance & Support
- Career Guidance
- 6 Months LMS Access
- QR-Verified Certification
FAQ
Questions before you enroll.
Clear answers about eligibility, projects, certification, and learner guidance.
Will I get a certificate?+
Yes. Learners receive a Joviq completion certificate after finishing required project work and reviews.
Are projects included?+
Yes. This program includes six real-world projects with domain-specific features and tools.
Is placement support included?+
Career guidance, resume review, mock interviews, and interview preparation are included in the career track.
Enroll now
Start your Machine Learning journey.
Choose your level, share your details, and reserve your place or pay in full securely. Full access lasts six months after verification.
No hidden plan features
Guided onboarding
Secure LMS access
Selected planElevateINR 9,999 full plan
Register with your name, phone, email, and college. Then choose a seat token or pay the full plan amount securely.
Machine Learning · UPI, UPI QR, cards, and net banking supported by the payment gateway.