Scikit Learn (Machine Learning Library)

Scikit Learn is a versatile machine learning library for Python, offering efficient and accessible tools for data analysis and modeling. Coursera's Scikit Learn catalogue guides you through the process of integrating, exploring, and utilizing this library. You'll learn about various machine learning algorithms for regression, classification, clustering, model selection, and dimensionality reduction. You'll also explore how to use this library effectively for data mining and data analysis tasks. With this skillset, you could excel in roles such as data analysts, data scientists, machine learning engineers, or any professional aiming to leverage data-driven insights in their field.
25credentials
83courses

Filter by

Skip to search results

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Results for "scikit learn (machine learning library)"

  • Status: Free Trial

    Universidad de los Andes

    Skills you'll gain: Data Ethics, Predictive Modeling, Classification And Regression Tree (CART), Statistical Machine Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Analytics, Scikit Learn (Machine Learning Library), Machine Learning, Python Programming, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    78 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    IBM

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    432 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    Status: Free Trial

    EDUCBA

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Data Cleansing, Machine Learning Methods, Scatter Plots, Statistical Analysis, Data Validation, NumPy, Pandas (Python Package), Box Plots, Histogram

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview

    Sungkyunkwan University

    Skills you'll gain: Machine Learning Algorithms, Machine Learning, Python Programming, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Regression Analysis, Data Analysis, Statistical Methods, Linear Algebra, Probability

    4.4
    Rating, 4.4 out of 5 stars
    87 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial

    O.P. Jindal Global University

    Skills you'll gain: Marketing Analytics, Supervised Learning, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Customer Insights, Machine Learning, Predictive Modeling, Python Programming, Regression Analysis, Personalized Service, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment

    Beginner · Course · 1 - 3 Months

  • Coursera Project Network

    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

  • Coursera Project Network

    Skills you'll gain: Machine Learning Algorithms, Data Visualization, Dashboard, Interactive Data Visualization, Data Visualization Software, Data Presentation, Machine Learning, Scikit Learn (Machine Learning Library), Web Applications, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
    412 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    Status: Free Trial

    Pearson

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    Status: Free Trial

    Packt

    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

    New York University

    Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

    3.7
    Rating, 3.7 out of 5 stars
    340 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    Status: Free Trial

    EDUCBA

    Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation

    Mixed · Course · 1 - 4 Weeks

  • Coursera Project Network

    Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Cloud Computing, Classification And Regression Tree (CART), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Python Programming, Pandas (Python Package), Data Science, Machine Learning, Data Visualization, Data Processing

    4.6
    Rating, 4.6 out of 5 stars
    160 reviews

    Intermediate · Guided Project · Less Than 2 Hours