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- Duration
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- Mode
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AI Academy · Your first ML models
Machine Learning Basics with Python
Python, data handling and classic ML models: train, evaluate and explain them on real datasets.
Course at a glance
- Duration
- 3 months
- Mode
- Online & offline
- Level
- Intermediate
- Live projects
- 1 real project
- Certificate
- Yes, on completion
- Fees
- Ask us for current fees
Who it's for
Is this course right for you?
- IT and engineering students interested in data and AI careers
- Developers adding machine learning to their skills
Prerequisites
Basic programming logic; Python taught from scratch
Outcomes
Skills you'll master
- Python programming for data
- NumPy and pandas for data handling
- Data visualisation
- Regression, classification and clustering with scikit-learn
- Model evaluation and explaining results
Tools you'll use
- Python
- Jupyter
- NumPy
- pandas
- Matplotlib
- scikit-learn
Syllabus
What you'll learn, module by module
Every module mixes short concept sessions with practical tasks, so you apply each idea the same day.
01Python for data
1 practical task
Learn Python the practical way.
Topics
- Syntax & data types
- Functions
- NumPy & pandas
Practical tasks
- Clean and analyse a real dataset
02Core machine learning
1 practical task
Train your first models.
Topics
- Regression
- Classification
- Clustering
- Train/test split
Practical tasks
- Predict prices from a real dataset
03Evaluate & present
1 practical task
Know when a model is good enough, and explain it.
Topics
- Metrics
- Overfitting
- Feature importance
- Visual reports
Practical tasks
- Present a model's results to non-technical people
Live projects
Real projects you'll build
Not textbook exercises. You build real work with real requirements, reviewed by mentors, and it all goes into your portfolio.
End-to-end ML project
From raw data to an evaluated model and a clear presentation.
Career guidance
Career guidance & interview preparation
Skills get you noticed; confidence gets you hired. We prepare you for both, honestly. We don't promise placements, we make you genuinely ready.
Certificate
Webystack course completion certificate, awarded after you complete the practical tasks and live project, not just attendance.
- Portfolio review: your live projects presented the way recruiters and clients want to see them
- Resume and LinkedIn profile guidance for developer roles
- Mock technical interviews with honest, detailed feedback
- Freelancing basics: finding clients, pricing and delivering projects
- Career guidance sessions on roles, salaries and growth paths
FAQ
Machine Learning Basics with Python: FAQs
What are the fees and batch timings?
Fees depend on the course and mode (online or offline). Message us on WhatsApp or call for current fees and the next batch dates. We're happy to help you choose.
Do you guarantee placement?
No. We don't offer placement or job guarantees. We guarantee expertise-level training: you keep practising until you can genuinely do the work, plus real project experience, a portfolio and interview preparation.
Can I learn online if I don't live in Deesa?
Yes. Online batches are live and interactive, with the same curriculum, live projects and code reviews as our classroom batches.
What if I miss a class?
Mentors help you catch up, and practical tasks are reviewed individually, so you never fall behind without support.
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Start Machine Learning Basics with Python with Webystack
Join the next batch, online or in our Deesa classroom. Message us for fees and dates.
Or call us: +91 99745 37938