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  • Scikit Learn Bibliotheque D

Results for "scikit-learn (bibliothèque d"


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    D

    DeepLearning.AI

    الشبكات العصبونية الالتفافية

    Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Machine Learning Methods, Network Model, Network Architecture, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Diabetes Prediction With Pyspark MLLIB

    Skills you'll gain: Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Predictive Modeling, Data Science, Machine Learning, Google Cloud Platform, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Data Prep for Machine Learning in Python

    Skills you'll gain: Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Statistical Visualization, Data Wrangling, Data Manipulation, Data Processing, Plot (Graphics), Data Visualization, Data Transformation, Descriptive Statistics, Data Analysis, Pandas (Python Package), Box Plots, Data Validation, Python Programming, Data Science, Scikit Learn (Machine Learning Library), Statistical Analysis

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Deep Learning with PyTorch

    Skills you'll gain: Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Machine Learning Models in Science

    Skills you'll gain: Applied Machine Learning, Data Processing, Dimensionality Reduction, Data Cleansing, Machine Learning Algorithms, Data Transformation, Artificial Neural Networks, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Supervised Learning, Predictive Modeling, Python Programming

    4
    Rating, 4 out of 5 stars
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    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Seaborn, Statistical Modeling, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, AI Personalization, Feature Engineering, NumPy

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees, SVM and Unsupervised Learning

    Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Random Forest Algorithm, Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Dimensionality Reduction, Feature Engineering, Statistics

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Science with NumPy, Sets, and Dictionaries

    Skills you'll gain: NumPy, Data Structures, Data Analysis, Object Oriented Programming (OOP), Image Analysis, Data Processing, Data Science, Data Manipulation, Big Data, Performance Tuning, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
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    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Access Bioinformatics Databases with Biopython

    Skills you'll gain: Bioinformatics, Scientific Visualization, Data Access, Extensible Markup Language (XML), Data Visualization, Data Import/Export, Data Manipulation, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    46 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Clustering and Classification with Machine Learning in R

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation

    Beginner · Course · 1 - 3 Months

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    A

    Arizona State University

    Learning How To Learn for Youth

    Skills you'll gain: Learning Strategies, Productivity, Human Learning, Willingness To Learn, Mental Concentration, Creativity, Time Management, Stress Management, Problem Solving, Self-Awareness, Persistence

    4.8
    Rating, 4.8 out of 5 stars
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    3K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Classification Trees in Python, From Start To Finish

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Data Processing

    4.6
    Rating, 4.6 out of 5 stars
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    232 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular scikit-learn (bibliothèque d courses

  • الشبكات العصبونية الالتفافية: DeepLearning.AI
  • Diabetes Prediction With Pyspark MLLIB: Coursera
  • Data Prep for Machine Learning in Python: Corporate Finance Institute
  • Deep Learning with PyTorch: Coursera
  • Machine Learning Models in Science: LearnQuest
  • Foundations of Data Science and Machine Learning with Python: Packt
  • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
  • Data Science with NumPy, Sets, and Dictionaries: Duke University
  • Access Bioinformatics Databases with Biopython: Coursera
  • Clustering and Classification with Machine Learning in R: Packt

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