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.
Training Regression Suite - Mastering Advanced Predictions
Trusted by — schools, companies and industrial groups
40,847 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.
Regression Suite training objectives
- Master advanced regression techniques in professional Data Science
- Develop robust models with Scikit-learn and R for the enterprise
- Optimize predictions by managing multicollinearity and outliers
- Implement regression suites for certified predictive analyses
- Design automated regression pipelines in an expert context
- Evaluate model performance for strategic decisions
- Acquire certifiable skills in Regression Suite for Data Science
Regression Suite curriculum: 3 modules over 3 days
Module 1 : Expert Linear Regression: Robust Models with Scikit-learn and R (Pipelines, Diagnostics)
Dive into advanced linear regressions via Scikit-learn and R, exploring outlier detection, Ridge-Lasso regularization, and multicollinearity tests with VIF. Perform practical exercises on real business datasets, build automated pipelines, analyze residuals via Q-Q plots, and produce deliverable predictive reports. Integrate concrete sales forecasting cases to anchor expert Data Science skills.
Module 2 : Non-Linear and Generalized Regression: GLM with R and Scikit-learn (Optimizations, Validations)
Deepen GLM for non-linear data, using Poisson, Binomial, and Quasi-models via R's glm and Scikit-learn's GLM. Handle k-fold cross-validations, bootstrap for confidence intervals, and variable selection by AIC-BIC. Apply to churn prediction and risk scoring case studies, develop reproducible scripts, generate visualizations with ggplot2 and matplotlib, and validate models for immediate professional applications.
Module 3 : Complete Regression Suite: Ensembles and Deployment (Hybrid Scikit-R, MLOps)
Synthesize a complete Regression Suite integrating stacking and bagging of regressions with hybrid R-Python XGBoost. Deploy via Docker and MLflow for MLOps, test on Kaggle benchmarks, measure RMSE-MAE-AUC, and optimize hyperparameters by grid search. Complete a final team deliverable project simulating a business mission, with Git-ready source code and Streamlit dashboard to demonstrate the business impact of expert predictions.
How Regression Suite skills are assessed
- Technical quizzes on diagnostics and GLM
- Practical projects on Regression Suite pipelines
- Final case study with certifiable predictive report
How the Regression Suite course is taught
- Hands-on methods with real datasets
- Collaborative project-based learning
- Real-time personalized feedback
- Business environment simulations
Regression Suite training: access and practical arrangements
The Training Regression Suite - Mastering Advanced Predictions 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 Regression Suite - Mastering Advanced Predictions 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 Regression Suite - Mastering Advanced Predictions 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.
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.
Our method
How Learni guarantees the quality of your Regression Suite training
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.
Our social commitment
A school kit donated to a child for every training booked
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
FAQ
Regression Suite: frequently asked questions
Which tools are used in Regression Suite training?+
Hands-on work runs on pipelines, diagnostics, optimizations, validations, hybrid Scikit-R and MLOps. Those tools come from the Regression Suite program itself, delivered on site over 3 days, so participants practise on the stack they will use at work.
What can participants do after Regression Suite training?+
They can master advanced regression techniques in professional Data Science, develop robust models with Scikit-learn and R for the enterprise and optimize predictions by managing multicollinearity and outliers. Those are the stated objectives of the Regression Suite program at Expert level, checked by the end-of-session assessment.
What does the Regression Suite program cover, day by day?+
Day 1: Expert Linear Regression: Robust Models with Scikit-learn and R (Pipelines, Diagnostics). Day 2: Non-Linear and Generalized Regression: GLM with R and Scikit-learn (Optimizations, Validations). Day 3: Complete Regression Suite: Ensembles and Deployment (Hybrid Scikit-R, MLOps). The Regression Suite program runs over 3 days, delivered on site.
How is Regression Suite training assessed?+
Assessment relies on technical quizzes on diagnostics and GLM, practical projects on Regression Suite pipelines and final case study with certifiable predictive report. Learni issues a completion certificate together with the individual assessment report at the end of the Regression Suite program, which an L&D team can file as evidence.
How much does Regression Suite training cost per participant?+
Regression Suite training costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Regression Suite training take?+
3 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Regression Suite training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Regression Suite training?+
Advanced proficiency in Python and R, experience with Scikit-learn, solid knowledge in multivariate statistics and predictive modeling.
Is a certificate issued after Regression Suite training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Regression Suite training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
Your professional training, anywhere
Let's build your Regression Suite learning path.
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