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.
Describe your need, get a tailored program and a pre-filled quote in 3 min. A 100% free call with an advisor.
Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.
Don't let this gap widen
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.
Discover advanced metrics such as AUC-ROC, F1-score, and precision-recall to rigorously evaluate your data classification models. Apply k-fold cross-validation techniques with Scikit-learn on real datasets. Complete practical exercises on business cases to identify common pitfalls. Build your first comprehensive evaluation reports, integrating visualizations with Matplotlib for educational and professional analysis.
Dive into non-linear SVM and weighted KNN using Scikit-learn. Tune hyperparameters with GridSearchCV and RandomizedSearchCV on complex datasets. Test on real-world cases like banking fraud detection. Develop optimized scripts to scale to large volumes. Analyze the impact of RBF and polynomial kernels on performance. Produce enterprise-ready deliverables with quantified metrics and comparative visualizations.
Master decision trees and Random Forest in R using the caret and randomForest packages for robust data classification. Apply bagging and boosting techniques on real enterprise data. Perform automatic tuning exercises via trainControl. Compare results with Scikit-learn for a hybrid approach. Generate automated reports with ggplot2 charts. Integrate practical cases like customer segmentation for actionable deliverables.
Handle imbalanced datasets in data classification with SMOTE, undersampling, and oversampling using Scikit-learn and R. Implement XGBoost and LightGBM for superior performance. Test on real scenarios like churn prediction. Optimize decision thresholds to maximize recall. Develop complete pipelines with imbalanced-learn. Produce sensitivity analyses and detailed business reports for immediate enterprise application.
Deploy your data classification models in production with MLflow and Docker. Integrate interpretability using SHAP and LIME in Scikit-learn and R. Simulate AWS or Azure cloud environments on critical business cases. Automate CI/CD pipelines for rapid implementation. Evaluate robustness against data drifts. Finalize with complete deliverables including Streamlit dashboards and executive reports for immediate professional adoption.
The Training Data Classification - Master Advanced Predictive Algorithms program is delivered onsite or remote (blended-learning, e-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.
For the smooth delivery of the Training Data Classification - Master Advanced Predictive Algorithms program, the following equipment is required:
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.
Assessment of skills acquired during the Training Data Classification - Master Advanced Predictive Algorithms program is performed through:
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.
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
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.
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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