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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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30 free minutes with a training advisor — no commitment.
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Don't let this gap widen
Without advanced scikit-learn mastery, your models lose 25-40% accuracy due to haphazard manual tuning, poorly optimized pipelines waste 50% of dev time, basic feature engineering leads to costly overfitting in production (up to 30% false positives).
Risk obsolescence against competitors scaling ML in hours, non-deployment hampers data ROI (estimated losses 10k€/project), massive datasets crash without pro techniques.
Invest 21h for immediate gains, avoid critical project delays and team frustrations.
The Advanced scikit-learn Training - Optimize ML Models in Production training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Advanced scikit-learn Training - Optimize ML Models in Production training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Advanced scikit-learn Training - Optimize ML Models in Production training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Dive into professional feature engineering, create polynomial features on real datasets, select the best via SelectKBest and RFE, test on concrete cases like churn prediction, produce correlation reports, iterate in teams to maximize model accuracy, leave with a ready-to-integrate notebook.
Build complete pipelines from preprocessing to prediction, optimize hyperparameters with GridSearchCV on RandomForest and XGBoost, analyze results via learning curves, apply on Kaggle datasets, debug data leaks, generate matplotlib visualizations, acquire scalable workflows for professional projects.
Deploy models via joblib and Flask API, handle imbalanced classes with SMOTE, evaluate via ROC-AUC and Precision-Recall, scale on large volumes with sampling, integrate drift monitoring, complete final project on custom dataset, receive certificate and immediately deployable code.
Target audience
Data scientists, ML engineers, advanced data analysts upskilling.
Prerequisites
Advanced mastery of Python, NumPy/Pandas, intermediate scikit-learn, classic ML algorithms.
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