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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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The Training: Mastering Textual Data Analysis with Flair: From Installation to Practice 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: Mastering Textual Data Analysis with Flair: From Installation to Practice 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: Mastering Textual Data Analysis with Flair: From Installation to Practice 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.
Origin of Flair and positioning in the NLP ecosystem; Installation of Flair and its dependencies on different systems; Presentation of the main modules; Loading and analyzing French and English textual datasets; First steps with an interactive notebook.
In-depth explanation of embeddings (word, character, contextual); Use of pre-trained embeddings and custom training; Creation of named entity recognition (NER) extraction pipelines and text classification; Comparative analysis with other frameworks (spaCy, NLTK, transformers).
Quantitative evaluation (precision, recall, f-measure); Adaptation of Flair models to business datasets; Deployment of an entity detection model on a server; Integration into the company workflow (REST API, tests, and monitoring); Best practices for documentation, reproducibility, and maintenance of Flair pipelines.
Target audience
Developers, Data Scientists, Analysts wishing to integrate Natural Language Processing (NLP) into their projects with Flair
Prerequisites
Basic knowledge of Python and fundamental notions on data processing
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