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  1. Categories
  2. Machine Learning

Cours en Apprentissage automatique

Les cours en apprentissage automatique peuvent vous aider à comprendre comment construire, entraîner et analyser des modèles prédictifs. Vous pouvez développer des compétences en préparation des données, choix d'algorithmes, optimisation et évaluation. De nombreux cours utilisent des bibliothèques courantes pour tester des modèles.

Cours et certificats populaires en Apprentissage automatique


  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, Applied Machine Learning, Big Data, Data Storage Technologies, Data Preprocessing, Data Storage, Machine Learning Algorithms, Machine Learning, Data Processing, Data Science, Model Evaluation

    3.8 stars, 1.3K reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 3.8 (1.3K) · Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Medical Insurance Premium Prediction with Machine Learning

    Skills you'll gain: Data Visualization, Keras (Neural Network Library), Data Preprocessing, Artificial Neural Networks, Predictive Modeling, Model Training, Tensorflow, Applied Machine Learning, Feature Engineering, Data Science, Data Manipulation, Machine Learning, Model Evaluation, Python Programming

    4.7 stars, 27 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.7 (27) · Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Machine Learning for Kyphosis Disease Classification

    Skills you'll gain: Data Visualization, Feature Engineering, Data Cleansing, Random Forest Algorithm, Decision Tree Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Data Science, Model Training, Machine Learning, Machine Learning Algorithms, Python Programming

    4.6 stars, 13 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.6 (13) · Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Employee Attrition Prediction Using Machine Learning

    Skills you'll gain: Data Preprocessing, Data Visualization, Logistic Regression, Feature Engineering, Data Cleansing, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Science, Applied Machine Learning, Model Training, Model Evaluation, Machine Learning, Human Resources, Classification Algorithms, Machine Learning Algorithms

    4.5 stars, 15 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.5 (15) · Beginner · Guided Project · Less Than 2 Hours

    Status: Free trial
    Free trial
  • P

    Pragmatic AI Labs

    Machine Learning with Databricks and MLflow

    Skills you'll gain: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • P

    Packt

    Practical Machine Learning on Databricks

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Model Training, Machine Learning Software, CI/CD, Model Evaluation, Applied Machine Learning, Machine Learning, Development Environment, Predictive Modeling, Statistical Machine Learning, Continuous Monitoring, Data Science, Machine Learning Algorithms, Python Programming, Statistical Hypothesis Testing

    Advanced · Course · 1 - 3 Months

    Category: New
    New
  • P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Data Visualization, Machine Learning Algorithms, Applied Machine Learning, Data Manipulation, Pivot Tables And Charts, Model Optimization, Machine Learning Methods, Linear Algebra, Natural Language Processing, Deep Learning, Programming Principles, Machine Learning, Python Programming, Data Science, Computer Programming, Artificial Neural Networks, Regression Analysis

    4.9 stars, 7 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.9 (7) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • C

    Coursera

    Interpretable machine learning applications: Part 5

    Skills you'll gain: Model Evaluation, Responsible AI, Histogram, Predictive Modeling, Data Visualization, Machine Learning, Statistical Methods, Data Science, Descriptive Statistics, Development Environment, Software Engineering

    4.5 stars, 44 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.5 (44) · Beginner · Guided Project · Less Than 2 Hours

  • B

    Board Infinity

    Applied Machine Learning: Tabular, Forecasting & Deployment

    Skills you'll gain: Time Series Analysis and Forecasting, MLOps (Machine Learning Operations), Feature Engineering, Model Deployment, Forecasting, Decision Tree Learning, Machine Learning Methods, Applied Machine Learning, Recurrent Neural Networks (RNNs), Containerization, Model Evaluation, Docker (Software), CI/CD, Model Training, Application Deployment, Machine Learning, Predictive Modeling, Data Preprocessing, Supervised Learning, Data Science

    Beginner · Specialization · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • I

    IBM

    Excel Basics for Data Analysis

    Skills you'll gain: Excel Formulas, Data Analysis, Pivot Tables And Charts, Spreadsheet Software, Data Cleansing, Microsoft Excel, Analytics, Analysis, Data Entry, Data Import/Export, Data Wrangling, Google Sheets, Data Quality, Data Science, Data Transformation, Data Manipulation, Data Presentation, Editing

    4.7 stars, 11K reviews, Beginner, Course, 1 - 3 Months

    ★ 4.7 (11K) · Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • P

    Packt

    Data Science - Supervised Machine Learning in Python

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Model Deployment, Machine Learning Methods, Model Evaluation, Machine Learning, Classification Algorithms, Machine Learning Algorithms, Model Training, Model Optimization, Predictive Modeling, Decision Tree Learning, Python Programming, Artificial Neural Networks, Feature Engineering, Data Science, Web Services

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
  • I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Generative AI, Exploratory Data Analysis, Data Ethics, ChatGPT, AI literacy, Feature Engineering, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Machine Learning, Data Analysis

    4.7 stars, 12K reviews, Intermediate, Specialization, 1 - 3 Months

    ★ 4.7 (12K) · Intermediate · Specialization · 1 - 3 Months

    Status: Free trial
    Free trial
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