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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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Don't let this gap widen
Without mastery of scikit-learn, 70% of machine learning projects fail in the data preparation phase, wasting weeks of development and up to 50 000€ per project according to Gartner.
Your competitors are already deploying predictive models boosting their sales by 20%, while you struggle with preprocessing errors or flawed metrics.
Risk losing market share to omnipresent AI, or train to transform your datasets into immediate competitive advantages, avoiding delays and costly frustrations.
The Scikit-Learn Initiation Training - Implement Your First 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 Scikit-Learn Initiation Training - Implement Your First 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 Scikit-Learn Initiation Training - Implement Your First 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.
Dive into scikit-learn by installing the library via pip and conda, explore its essential modules like datasets and model_selection, manipulate the Iris dataset to clean, scale, and split your data with guided exercises, train a KNN classifier or decision tree on concrete cases, generate your first predictions and visualize results in real-time for immediate and motivating mastery.
Level up by building linear regression models on the Boston dataset, evaluate them with accuracy, precision, and MSE through interactive exercises, implement cross-validation and grid search to optimize hyperparameters, create complete pipelines to automate preprocessing and modeling on real cases like churn prediction, produce visual reports and a project deliverable ready to integrate into your professional workflows.
Target audience
Data analysts, Python developers, beginner data scientists seeking to upskill in machine learning.
Prerequisites
Proficiency in Python basics, familiarity with pandas and NumPy, basic knowledge of statistics.
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