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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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Allan BusiJul 1, 20268 min readDallasDon't let this gap widen
Without expert mastery of scikit-learn, 70% of ML projects fail due to poorly optimized pipelines, wasting 20-30% of development time.
Risk underperforming models with accuracy <80%, financial losses from erroneous predictions (ex: 50k€/churn error), project delays up to 2 months, and falling behind agile competitors.
Avoid overcosts from manual tuning (x3 time), unmanaged feature biases (+40% false positives), and unstable deployments causing 15% downtime.
Invest 14h for immediate ROI: 25% accuracy gains, projects delivered 50% faster.
The Training scikit-learn Expert - Optimize Advanced ML Models 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 Training scikit-learn Expert - Optimize Advanced ML Models 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 Training scikit-learn Expert - Optimize Advanced ML Models 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.
Build custom pipelines to automate preprocessing and modeling, handle real datasets with scaling, polynomial encoding, and feature selection via SelectKBest, complete exercises on customer churn prediction, generate optimized deliverables ready for integration, discover tips to accelerate your ML projects by 40%, while boosting your daily efficiency.
Dive into hyperparameter tuning with GridSearchCV and Bayesian Optimization, implement RandomForest, GradientBoosting, and stacking on real cases like fraud detection, evaluate performance via ROC-AUC and precision-recall, deploy serialized models with joblib for scalable APIs, produce comparative analysis reports, master techniques for up to 25% accuracy gains, and leave with an expert portfolio.
10 participants max.
$2,310 / per person
14 hours
remoteTarget audience
Data scientists, machine learning engineers, senior data analysts seeking to advance their skills in advanced algorithms.
Prerequisites
Advanced proficiency in Python, pandas, NumPy, intermediate scikit-learn, supervised and unsupervised machine learning.
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€3,150.0021 hours
in-person10 pers. max.intermediate€5,250.0035 hoursin-person10 pers. max.advanced€2,100.0014 hoursin-person10 pers. max.expert€4,200.0028 hoursin-person10 pers. max.
