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)"

  • Status: New
    Status: Free Trial

    Skills you'll gain: Predictive Modeling, Statistical Modeling, Predictive Analytics, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Supervised Learning, Machine Learning, Performance Metric

  • Status: New

    Clemson University

    Skills you'll gain: Data Ethics, Regression Analysis, Data Science, Keras (Neural Network Library), Dimensionality Reduction, Tensorflow, Matplotlib, Data Analysis, Artificial Neural Networks, Data Mining, Data Wrangling, Statistical Analysis, Scikit Learn (Machine Learning Library), Analytics, Data Visualization, Predictive Modeling, Unsupervised Learning, Exploratory Data Analysis, Supervised Learning, Machine Learning Algorithms

  • Status: Free Trial

    Skills you'll gain: Digital Transformation, Business Ethics, Predictive Modeling, Predictive Analytics, Simulation and Simulation Software, Business Transformation, Advanced Analytics, Customer experience strategy (CX), Scikit Learn (Machine Learning Library), Operations Research, Analytics, Business Technologies, Business Analytics, Data-Driven Decision-Making, Feature Engineering, Systems Thinking, Complex Problem Solving, Process Optimization, Technology Strategies, Applied Machine Learning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

  • Status: Preview

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Anomaly Detection, Data Mining, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Processing, Pandas (Python Package), Big Data, Data Cleansing, Data Science, Data Visualization, Python Programming, Data Manipulation, Exploratory Data Analysis, Deep Learning, Regression Analysis, Artificial Neural Networks

  • Status: New
    Status: Preview

    Skills you'll gain: Supervised Learning, Random Forest Algorithm, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Predictive Modeling, Performance Testing, Data Analysis, Scikit Learn (Machine Learning Library), Python Programming

  • Status: New
    Status: Free Trial

    Skills you'll gain: Data Processing, AI Personalization, Data Manipulation, Data Cleansing, Data Transformation, Feature Engineering, Pandas (Python Package), Text Mining, Predictive Modeling, Unstructured Data, Scikit Learn (Machine Learning Library), Data Integration, Python Programming, Data Analysis, Applied Machine Learning, NumPy