Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
Learning objectives
- Master advanced classification algorithms with Scikit-learn and R for professional certifying training
- Optimize data classification models for imbalanced datasets in a business context
- Develop expert skills in feature engineering to boost prediction accuracy
- Implement ensemble techniques like Random Forest and Gradient Boosting in a professional setting
- Design end-to-end classification pipelines tailored to real business cases
- Evaluate and deploy data classification models using advanced metrics for certifying results
- Integrate data classification into secure professional data science workflows
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Why this program matters
Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.
Organizations that don't train their talents on key topics see their competitiveness drop.
Every quarter without training is a gap widening with competitors who invest.
The cost of inaction quickly exceeds that of well-targeted training.
Program
Module 1Data Classification: Advanced Supervised Algorithms (Scikit-learn, R, SVM, Decision Trees)
Discover expert data classification algorithms like non-linear SVM and optimized decision trees, using Scikit-learn and R packages such as e1071 and rpart, through practical exercises on real business datasets. Implement hyperparameter tuning with GridSearchCV, analyze ROC curves to evaluate performance, and produce deployment-ready modeling reports, consolidating your professional skills in 7 intensive hands-on hours.
Module 2Data Classification: Managing Complex Datasets and Ensemble Techniques (Imbalanced Data, Boosting)
Dive into data classification on imbalanced datasets with SMOTE and undersampling in Scikit-learn, master XGBoost and LightGBM via R and Python, apply stacking models for maximum accuracy, test on concrete cases like banking fraud detection, optimize via stratified cross-validation, generate visualizations with ggplot2 and matplotlib, and validate deliverables like production-ready Jupyter notebooks in a business setting, over 7 hours of expert practice.
Module 3Data Classification: Deployment and Optimization in Production (MLflow Pipelines, Monitoring)
Build complete data classification pipelines with MLflow and Docker for scalable deployment, integrate monitoring with Prometheus for drift detection, apply custom neural networks via Keras in R/Python on industrial cases like medical classification, evaluate with F1-score and Matthews correlation, simulate A/B testing in a business environment, produce interactive dashboards with Dash and Shiny, and finalize with a capstone project certifying your expert data science skills over 7 dedicated hours.
Evaluation method
- Practical projects evaluated by experts with individual feedback
- Advanced quizzes on algorithms and classification metrics
- Real-world business case studies with certifying oral presentations
Learning method
- Hands-on methods with real datasets and Scikit-learn/R tools
- Learning through collaborative projects in small groups
- Case studies from leading data science companies
- Continuous feedback and personalized coaching by certified trainers
Methods, materials and delivery
The Training Data Classification - Mastering Advanced ML Algorithms program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training Data Classification - Mastering Advanced ML Algorithms program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training Data Classification - Mastering Advanced ML Algorithms program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
Our method
Training quality, guaranteed at every step
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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FAQ
Frequently asked questions
How much does the Training Data Classification - Mastering Advanced ML Algorithms training cost?+
The individual price is $3,465 (USD). A detailed quote is sent within one business day.
How long is the Training Data Classification - Mastering Advanced ML Algorithms training?+
The training lasts 3 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Advanced proficiency in Python or R, solid knowledge of multivariate statistics, experience in supervised modeling and machine learning algorithms such as logistic regression or decision trees
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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