Development100% OFF

Python pour le Deep Learning & le Machine Learning: A à Z

Clara Donnart

4.3(39.0K students)

Self-paced

Beginner

About this course

Python est reconnu comme l'un des meilleurs langages de programmation pour sa flexibilité. Il fonctionne dans presque tous les domaines, du développement Web au développement d'applications financières. Cependant, ce n'est un secret pour personne que la meilleure application de Python est dans les tâches d'apprentissage automatique, d'apprentissage en profondeur et d'intelligence artificielle.Bien que Python facilite l'utilisation du Machine Learning et du Deep Learning, il sera toujours assez frustrant pour quelqu'un qui n'a aucune connaissance du fonctionnement de l'apprentissage automatique.Si vous connaissez les bases de Python et que vous avez envie d'apprendre le Deep Learning, ce cours est fait pour vous.

Ce cours vous aidera à apprendre à créer des programmes qui acceptent la saisie de données et automatisent l'extraction de fonctionnalités, simplifiant ainsi les tâches du monde réel pour les humains.Il existe des centaines de ressources d'apprentissage automatique disponibles sur Internet. Cependant, vous risquez d'apprendre des leçons inutiles si vous ne filtrez pas ce que vous apprenez. Lors de la création de ce cours, nous avons tout filtré pour isoler les bases essentielles dont vous aurez besoin dans votre parcours d'apprentissage en profondeur.C'est un cours de base qui convient aussi bien aux débutants qu'aux experts.

Si vous êtes à la recherche d'un cours qui commence par les bases et passe aux sujets avancés, c'est le meilleur cours pour vous.Il enseigne uniquement ce dont vous avez besoin pour vous lancer dans l'apprentissage automatique et l'apprentissage en profondeur sans fioritures. Bien que cela aide à garder le cours assez concis, il s'agit de tout ce dont vous avez besoin pour commencer avec le sujet.

Skills you'll gain

Data Sciencefr

Available Coupons

Course Information

Level: Beginner

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: Clara Donnart

Expert course creator

This course includes:

📹Video lectures
📄Downloadable resources
📱Mobile & desktop access
🎓Certificate of completion
♾️Lifetime access

$0$98.99

Save $98.99 today!

Enroll Now - Free

Redirects to Udemy • Limited free enrollments

Share this course

https://freecourse.io/courses/machine-learning-et-deep-learning-avec-python-la-formation-complete

In today's data-driven world, Machine Learning (ML) is at the forefront of technological innovation, powering applications from personalized recommendations to advanced medical diagnostics. This comprehensive course is designed to equip you with a strong foundation in Machine Learning algorithms and their real-world applications. Whether you're a beginner or someone with some prior exposure to ML, this course will guide you step-by-step through the essential concepts and practical techniques needed to excel in this field.The course begins with an introduction to Supervised and Unsupervised Learning, providing clarity on how algorithms like Linear Regression, Logistic Regression, and Decision Trees function. You'll dive deep into clustering techniques such as K-Means and Hierarchical Clustering, followed by advanced models like Support Vector Machines (SVM), Random Forests, and Gradient Boosting Machines. Additionally, you'll explore Neural Networks and Deep Learning, understanding their applications in areas like image recognition and natural language processing.What sets this course apart is its hands-on approach. You'll work on real-world datasets, write Python code using industry-standard libraries like Scikit-learn, TensorFlow, and Pandas, and gain the skills to build, optimize, and evaluate ML models effectively. Each module is accompanied by practical examples and projects, ensuring you can confidently apply your knowledge outside the course.Beyond technical skills, this course emphasizes the interpretation of model results, enabling you to make data-driven decisions. You'll also learn to tackle common challenges such as overfitting, underfitting, and data preprocessing to ensure your models perform optimally.By the end of this course, you'll have the skills, confidence, and hands-on experience to design and implement your own machine-learning solutions, making you job-ready for roles in AI, Data Science, and Machine Learning Engineering.Whether you're a student, a professional, or simply curious about ML, this course will unlock new opportunities for you in the rapidly growing world of Artificial Intelligence. Enroll now and take the first step towards mastering Machine Learning algorithms!

From Recipe to Chef: Become an LLM Engineer 100+ Projects

School of AI

From Recipe to Chef: Become an LLM Engineer (Food Analogies) is a fun, beginner-friendly course that teaches you how to master Large Language Models (LLMs) without writing a single line of code. Whether you're curious about AI, looking to break into the world of language models, or want to become an LLM engineer, this course is your gateway to understanding and building with powerful tools like ChatGPT, Claude, Gemini, and LLaMA. We make technical concepts simple and relatable using clever food metaphors—so you can go from kitchen newbie to AI chef in no time.You'll explore how LLMs are built, trained, deployed, and evaluated through easy-to-understand analogies. Imagine tokenization as chopping vegetables, training as baking at scale, or prompt engineering as seasoning a dish just right. Each module is carefully crafted to introduce a new skill, from data preparation and fine-tuning to evaluation and deployment. By the end, you’ll be fluent in core LLM concepts like model architecture, pretraining, transfer learning, prompt optimization, model evaluation metrics like perplexity and BLEU score, and deploying your own LLM-powered applications using tools like FastAPI, Gradio, Hugging Face Spaces, and LangChain.This course is perfect for students, educators, creators, entrepreneurs, and professionals from non-technical backgrounds who want to learn AI fundamentals and build real-world applications powered by large language models. We take you step by step through the AI lifecycle—starting from "What is a language model?" all the way to deploying your own chatbot, summarizer, or recommender app. You'll learn to use no-code tools, experiment with real prompts, fine-tune existing models, evaluate outputs, and even explore career paths like prompt engineer, AI product manager, and LLM architect.No coding experience is required. You’ll learn how to communicate with LLMs using natural language, design smart and effective prompts, and understand what's happening behind the scenes—from data collection and tokenization to the model's prediction process and its computational needs using GPUs and TPUs. You’ll also cover bias detection, hallucinations, feedback loops, and strategies to monitor and improve your AI systems over time.By the end of the course, you’ll have a solid foundation in LLM theory, a portfolio of hands-on AI projects, and the confidence to step into the growing world of generative AI. Whether you're aiming to build your own AI product, join an AI startup, contribute to open-source projects, or simply impress your friends with your understanding of machine learning concepts, this course will get you there—with a full plate of knowledge and a side of fun.If you're ready to go from recipe reader to LLM chef, join us on this flavorful journey through the world of large language models, where every concept is explained with relatable metaphors and practical examples.

Certified Data Analyst Foundations Course

Data Science Academy

Are you ready to launch your journey into the world of data analysis? This comprehensive beginner-level course is designed to equip you with the fundamental skills and hands-on experience needed to succeed as a Data Analyst or Data Engineer in today’s data-driven world.Through a step-by-step learning path, you’ll explore everything from the basics of data types and sources to the more practical application of cleaning, analyzing, and visualizing data. You’ll start by understanding what a Data Analyst does and how their role supports business decision-making. Then, you'll dive into the full data analysis process, learning how to work with different data formats, perform data collection, and handle common data quality issues.You’ll work with popular tools such as Microsoft Excel, SQL, Python (with Pandas), and visualization tools like Power BI and Tableau. These tools are widely used in industry and will allow you to perform real-world tasks such as data cleaning, data transformation, database querying, and interactive dashboard creation.In the Excel section, you’ll master essential spreadsheet techniques including formulas, pivot tables, sorting/filtering, and conditional formatting. You'll then move to SQL, where you’ll learn how to write basic to intermediate queries, perform JOINs, filtering, aggregations, and manipulate data with INSERT, UPDATE, and DELETE statements.Next, you’ll explore data visualization and exploratory data analysis (EDA) using both Excel and business intelligence platforms. You’ll learn how to choose the right chart, apply data storytelling techniques, and build interactive dashboards with slicers, filters, and drilldowns. These skills are crucial for presenting insights clearly and effectively to stakeholders.The course also introduces you to Python for data analysis, focusing on the Pandas library, along with basic visualizations using Matplotlib and Seaborn. These tools are essential for those looking to transition into more technical roles or enhance their analytical capabilities.Toward the end of the course, you’ll focus on communicating insights through well-structured presentations, storytelling with data, and delivering findings to non-technical stakeholders. These soft skills are just as important as technical ones in a successful data career.Whether you're a student, career switcher, or working professional looking to add data analysis to your skill set, this course is structured to help you succeed—even with no prior experience.By the end of this course, you will:Understand the role of a data analystUse Excel, SQL, and Python to clean and analyze dataBuild dashboards using Power BI and TableauTell compelling data stories that drive actionEnroll today and take the first step toward becoming a job-ready data professional with the tools, techniques, and confidence to work with data in any industry.

4.3•3.0K•Self-paced

FREE$99.99

Enroll

Python pour le Deep Learning & le Machine Learning: A à Z

About this course

Skills you'll gain

Available Coupons

Course Information

This course includes:

Share this course

You May Also Like

Algorithm Alchemy: Unlocking the Secrets of Machine Learning

From Recipe to Chef: Become an LLM Engineer 100+ Projects

Certified Data Analyst Foundations Course

Python pour le Deep Learning & le Machine Learning: A à Z

About this course

Skills you'll gain

Available Coupons

Course Information

This course includes:

Share this course

You May Also Like

Algorithm Alchemy: Unlocking the Secrets of Machine Learning

From Recipe to Chef: Become an LLM Engineer 100+ Projects

Certified Data Analyst Foundations Course