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.
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Results for "scikit learn (machine learning library)"

  • Skills you'll gain: Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Customer Analysis, Data Presentation, Predictive Modeling, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Online Advertising, Data Cleansing, Data Manipulation, Advertising, Classification And Regression Tree (CART), Digital Advertising, Machine Learning Methods, Performance Analysis, Machine Learning, Python Programming, Deep Learning

  • Skills you'll gain: Exploratory Data Analysis, Data Analysis, Statistical Analysis, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Predictive Modeling, Matplotlib, Data Import/Export, Pandas (Python Package), Applied Machine Learning, Data Visualization Software, NumPy, Data Manipulation, Machine Learning

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning Algorithms, Data Science, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Data Mining, Python Programming, Linear Algebra, NumPy, Algorithms, Exploratory Data Analysis

  • 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

  • Status: Free Trial

    Skills you'll gain: Matplotlib, Linear Algebra, NumPy, Scientific Visualization, Machine Learning Algorithms, Pandas (Python Package), Seaborn, Data Science, Machine Learning, Data Analysis, Supervised Learning, Python Programming, Scikit Learn (Machine Learning Library), Jupyter, Data Manipulation, Regression Analysis, Data Structures, Software Installation

  • Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scatter Plots, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis, Python Programming

  • Coursera Project Network

    Skills you'll gain: Regression Analysis, Statistical Modeling, Predictive Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Data Manipulation, Pandas (Python Package), Machine Learning Methods, Data Visualization, Exploratory Data Analysis, Performance Tuning, Python Programming, Machine Learning

  • Skills you'll gain: Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Data Import/Export, Google Cloud Platform, Jupyter, Decision Tree Learning, Data Processing, Machine Learning, Random Forest Algorithm, Statistical Visualization

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Bioinformatics, Dimensionality Reduction, Predictive Modeling, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Pandas (Python Package), Drug Development, Unsupervised Learning, Scikit Learn (Machine Learning Library), Data Manipulation, Molecular Biology, Regression Analysis, Machine Learning Algorithms, Exploratory Data Analysis, Machine Learning

  • Skills you'll gain: Data Visualization, Regression Analysis, Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Supervised Learning, Machine Learning, Python Programming

  • Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Bayesian Statistics, Data Analysis

  • Status: Free Trial

    Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Applied Machine Learning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Marketing, Unstructured Data, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Data-Driven Decision-Making, Algorithms, Artificial Neural Networks

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