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: Preview

    O.P. Jindal Global University

    Skills you'll gain: Supervised Learning, Tensorflow, Image Analysis, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Deep Learning, Unstructured Data, NumPy, Matplotlib, Natural Language Processing, Text Mining, Pandas (Python Package), Regression Analysis, Performance Tuning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Statistical Analysis

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Dimensionality Reduction, Random Forest Algorithm, Regression Analysis

  • Status: New
    Status: Free Trial

    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

  • Status: New
    Status: Preview

    Skills you'll gain: Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Matplotlib, Jupyter, Python Programming, Data Processing, NumPy, Data Cleansing, Image Analysis, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis

  • Status: Free Trial

    Skills you'll gain: Supervised Learning, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Market Dynamics, Risk Modeling, Tensorflow, Financial Modeling

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Data Cleansing, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Machine Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Predictive Modeling, Responsible AI, MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Artificial Neural Networks, Dataflow

  • Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Statistical Methods, Applied Machine Learning, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Data Access, Statistics, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Machine Learning

  • Status: New
    Status: Free Trial

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

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Supervised Learning, Machine Learning Algorithms, Data Strategy, Artificial Neural Networks, Data Pipelines, Performance Tuning, Deep Learning, Data Transformation, Data Processing

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Statistical Analysis, Matplotlib, Regression Analysis, Statistical Modeling, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Data Science, Environmental Policy, Data Analysis, Energy and Utilities, Data Visualization, Pandas (Python Package), Scikit Learn (Machine Learning Library), Supervised Learning, Climate Change Mitigation, Environment, Public Policies

  • Skills you'll gain: Supervised Learning, Unsupervised Learning, Dimensionality Reduction, Anomaly Detection, Artificial Intelligence, Machine Learning, Regression Analysis, Probability & Statistics, Data Ethics, Image Analysis, Natural Language Processing, Linear Algebra, Responsible AI, Computer Vision, Embedded Systems, Machine Learning Algorithms, Applied Machine Learning, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Probability

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