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    Results for "scikit learn (machine learning library)"

    • C

      Coursera Project Network

      Machine Learning with PySpark: Customer Churn Analysis

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, PySpark, Data Processing, Data Cleansing, Data Transformation, Apache Spark, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Application Deployment, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • 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
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      S

      SAS

      Machine Learning Using SAS Viya

      Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Statistical Machine Learning, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Data Cleansing, Predictive Analytics, No-Code Development, Statistical Programming, Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      102 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      N

      National Taiwan University

      機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

      Skills you'll gain: Supervised Learning, Machine Learning, Machine Learning Algorithms, Data Validation, Classification And Regression Tree (CART), Algorithms, Regression Analysis, Predictive Modeling, Feature Engineering, Artificial Intelligence, Data Ethics, Statistical Methods, Data Transformation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      331 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Machine Learning – Modern Computer Vision & Generative AI

      Skills you'll gain: Test Driven Development (TDD), Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Machine Learning, Python Programming, Development Environment, Jupyter, NumPy, Software Installation

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      T

      The University of Chicago

      Machine Learning: Concepts and Applications

      Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)

      3.8
      Rating, 3.8 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Applied Machine Learning: Techniques and Applications

      Skills you'll gain: Computer Vision, Machine Learning Algorithms, Image Analysis, Supervised Learning, Applied Machine Learning, Feature Engineering, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Predictive Modeling, Machine Learning, Data Analysis

      3.7
      Rating, 3.7 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 3 Months

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

      Packt

      NumPy, Matplotlib & Pandas – Data Science Prerequisites

      Skills you'll gain: NumPy, Pandas (Python Package), Data Manipulation, Scatter Plots, Jupyter, Data Visualization Software, Machine Learning, Data Science, Data Import/Export, Classification And Regression Tree (CART), Linear Algebra, Probability Distribution, Regression Analysis

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Information Extraction in Python

      Skills you'll gain: ChatGPT, Machine Learning Methods, Data Mining, Python Programming, Machine Learning Algorithms, Supervised Learning, Data Manipulation

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Scikit-Learn to Solve Regression Machine Learning Problems

      Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Machine Learning, Data Analysis, Random Forest Algorithm

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Snowflake for Data Science: Intro to Snowpark ML for Python

      Skills you'll gain: Snowflake Schema, Applied Machine Learning, Machine Learning, Predictive Modeling, Feature Engineering, Data Pipelines, Data Transformation, Data Processing, Data Science, Python Programming, Regression Analysis

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      Universidad Austral

      Limpieza de datos para el procesamiento de lenguaje natural

      Skills you'll gain: Web Scraping, Data Integration, Data Processing, Data Cleansing, Natural Language Processing, Jupyter, Pandas (Python Package), Scripting, Data Transformation, Data Capture, JSON, Text Mining, Hypertext Markup Language (HTML), Javascript

      4.3
      Rating, 4.3 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    1…678…834

    In summary, here are 10 of our most popular scikit learn (machine learning library) courses

    • Machine Learning with PySpark: Customer Churn Analysis: Coursera Project Network
    • Machine Learning Models in Science: LearnQuest
    • Machine Learning Using SAS Viya: SAS
    • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
    • Machine Learning – Modern Computer Vision & Generative AI: Packt
    • Machine Learning: Concepts and Applications: The University of Chicago
    • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
    • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
    • Applied Information Extraction in Python: University of Michigan
    • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera Project Network

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