Master Machine Learning with Scikit-Learn
Build, tune and evaluate classical machine learning models with scikit-learn, with a strong focus on feature engineering, validation and avoiding common modelling mistakes.
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Program Overview
Machine Learning with Scikit-Learn is an intermediate-level live online course running 8 weeks (60 hrs), priced at $800 USD, taught by instructors in evening and weekend cohorts for learners in the US and Canada, with a certificate of completion.
Build, tune and evaluate classical machine learning models with scikit-learn, with a strong focus on feature engineering, validation and avoiding common modelling mistakes. What you will build: a credit-risk classifier, a house-price regressor and a customer-clustering study. Tools and technologies: Python, scikit-learn, XGBoost, LightGBM, Pandas, NumPy, Optuna, MLflow, SHAP. Format: 60 hours of live, instructor-led online training over about 8 weeks, in evening and weekend cohorts for learners in the US and Canada, with hands-on labs, recorded sessions and mentor support. Career pathways: Machine Learning Engineer (junior), Data Scientist, Applied ML Analyst. Resume review and interview guidance are available to all learners.
Course Highlights
- 60 hours of live instructor-led training
- Hands-on projects and real-world labs
- Tools: Python, scikit-learn, XGBoost
- Certificate of completion
- Career guidance for US & Canada job market
- Recorded sessions and mentor support
Minimum Requirements
- Python and basic Pandas
- Laptop or desktop with stable internet
Who is this for ?
- Python users learning machine learning
- Analysts moving into predictive modelling
- Developers adding ML to their toolkit
Curriculum
Course Curriculum
5 modules · 22 topics0 hours total
- 1Learning paradigms
- 2bias and variance
- 3train/validation/test splits
- 4scikit-learn API
Industry-Recognized
Certification
Upon successful completion, you receive a certificate of completion for the Machine Learning with Scikit-Learn program that you can share with employers and add to your LinkedIn profile — a record of the hands-on skills and projects you completed.
- Verifiable ID: Unique credential link for LinkedIn.
- Skill Validation: Proof of hands-on project completion.
- Corporate Branding: CO-branded with your company logo.
Student Reviews
Why learn this online
AI and data science are among the fastest-growing, highest-value skill sets in the technology market. Learning them online, through live instructor-led sessions and hands-on projects, lets you build practical experience with Python, statistics, and machine learning while keeping your current job. Because the field rewards demonstrated ability over credentials, a strong project portfolio built during the course is what employers actually respond to.
Who this is for
- ✓Analytical professionals who enjoy math and code
- ✓Analysts wanting to move into modeling and AI
- ✓Career switchers targeting high-ceiling data roles
Career outcomes
- Data Scientist
- Machine Learning Engineer
- AI Engineer
- Data Analyst (advanced)
Frequently asked questions
How much does the Machine Learning with Scikit-Learn course cost?
The Machine Learning with Scikit-Learn course costs $800 (USD) for 8 Weeks (60 hrs) of live, instructor-led online training. The fee covers live classes, recorded sessions, hands-on projects, mentor support and the certificate of completion.
What projects will I build in Machine Learning with Scikit-Learn?
You will build a credit-risk classifier, a house-price regressor and a customer-clustering study.
Which tools and technologies does Machine Learning with Scikit-Learn cover?
Machine Learning with Scikit-Learn covers Python, scikit-learn, XGBoost, LightGBM, Pandas, NumPy, Optuna, MLflow, SHAP.
Is the Machine Learning with Scikit-Learn course online or in person?
The Machine Learning with Scikit-Learn program is delivered live and online with instructor-led sessions, so you can join from anywhere in the US, Canada, or beyond. Sessions are interactive and recordings are available for review.
How long is the Machine Learning with Scikit-Learn course?
The Machine Learning with Scikit-Learn program runs for 8 Weeks (60 hrs). Cohorts are scheduled in the evenings and on weekends to fit around a full-time job.
What level is the Machine Learning with Scikit-Learn course — is it suitable for beginners?
The Machine Learning with Scikit-Learn program is pitched at a intermediate level. Some prior familiarity helps, and the curriculum builds toward job-ready skills.
Do I get a certificate after completing Machine Learning with Scikit-Learn?
Yes — you receive a verifiable certificate of completion for the Machine Learning with Scikit-Learn program, which you can share with employers and add to your LinkedIn profile.
Does the Machine Learning with Scikit-Learn course include placement or career support?
Yes. MITS Edge programs include career support — resume reviews, mock interviews, and job-search guidance aligned to the US and Canadian hiring markets.
Do I need any prior experience to join Machine Learning with Scikit-Learn?
Recommended prerequisites: Python and basic Pandas; Laptop or desktop with stable internet.
Do I need a math background for AI and data science?
Comfort with basic math helps, but the fundamentals — statistics and the math behind common models — are taught as part of a structured program. What matters most is consistent practice and building real projects.
Is Python required for AI and data science?
Yes, Python is the core language of the field. A good course starts from Python fundamentals and builds up to data libraries and machine learning, so you can start even if you are new to coding.
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