Machine Learning
₹120,000
Total Fee₹10,000/month
EMI Starting
Why Choose This Program?
Hands-on Learning: Train, evaluate, and deploy real ML models using Python, Scikit-Learn, and open datasets.
Concept to Deployment: Learn both theory and practical skills for real-world implementation and interviews.
Mentor Support: Get project feedback and personalised guidance from industry professionals throughout your journey.
Placement Assistance: Prepare with resume building, mock interviews, and hiring support for ML and data science roles.
💰 Program Fee: ₹1,20,000 | EMI starts at ₹10,000/month
What Makes Us Unique?
| Features | Our Program | Traditional Courses | Free Tutorials |
| Real Model Projects | ✅ Yes | ❌ Rare | ❌ No |
| Concept + Application Focus | ✅ Yes | ❌ Minimal | ❌ No |
| Placement Support | ✅ Yes | ✅ Yes | ❌ No |
| Payment Flexibility | ✅ Yes | ❌ Rare | ✅ Yes (Limited) |
How This Program Works
1. Real-World Module Development
Train models using Scikit-Learn
Apply classification, regression, and clustering
Perform feature engineering and scaling
Evaluate with confusion matrix and cross-validation
2. Projects to Build Your Portfolio
House price prediction using regression
Customer churn prediction with classification
Movie recommender system
Fraud detection and model evaluation pipeline
3. Continuous Feedback & Improvement
Mentor-led code reviews and model walkthroughs
Error analysis and model performance tuning
Guidance on applying ML to domain-specific problems
Weekly checkpoints to track progress
4. Placement Preparation
Resume creation and LinkedIn optimisation
Mock ML interviews and scenario-based questions
GitHub portfolio setup with notebooks and reports
Access to hiring partners and job referrals
Who Is This Program For?
✅ Freshers & Students – Build your core machine learning foundation with practical, job-ready skills.
✅ Analysts & Engineers – Transition into ML roles by learning how to build and evaluate models.
✅ Career Switchers – Break into AI with hands-on experience and support throughout the process.
Tools & Technologies You’ll Master
Programming & Libraries
- Python
- NumPy
- Pandas
- Matplotlib
ML Algorithms
- Scikit-Learn
- XGBoost
- LightGBM
- Statsmodels
Model Evaluation
- Confusion Matrix
- ROC/AUC
- Cross-Validation
- Grid Search
Deployment Tools
- Streamlit
- Flask
- GitHub
- Jupyter Notebooks
Program Timeline
Months 1–3: Python & Data Handling
Learn Python, Pandas, and Matplotlib for data preprocessing, EDA, and visualisation.
Months 4–6: Core ML Algorithms
Train regression, classification, and clustering models using Scikit-Learn and evaluate performance.
Months 7–9: Advanced Techniques & Tuning
Apply ensemble models, hyperparameter tuning, and feature selection to improve model accuracy.
Months 10–12: Projects & Deployment
Deploy models via Streamlit or Flask and build your portfolio with notebooks and real business problem statements.
Career Outcomes
Get ready for roles like:
Machine Learning Engineer
Data Scientist
AI Analyst
ML Research Assistant
💼 Average Salaries: ₹6–9 LPA (entry-level) | ₹12–18 LPA (with experience)
Why Machine Learning?
High Demand: ML engineers are in demand across industries—finance, healthcare, retail, and tech.
Foundation for AI: Understanding ML is essential for working in AI, data science, and deep learning.
Future-Proof Career: The world is increasingly reliant on smart systems—ML skills keep you ahead.
Frequently Asked Questions (FAQs)
Apply Now
Ready to become a Machine Learning Engineer and build real models?
Apply today and start your ML journey with expert mentorship and project-based learning.
👉 [Apply Now]
Contact & Pricing
💰 Total Fee: ₹1,20,000
📆 EMI: ₹10,000/month
📞 Call/WhatsApp: +91-8095858589
📧 Email: info@gullyacademy.com
Refund Policy
We offer a 100% refund if you withdraw within the first 2 weeks of the program—no questions asked.