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: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Text Mining, Data Manipulation, Unsupervised Learning, 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: New
    Status: Free Trial

    Skills you'll gain: Unsupervised Learning, Predictive Modeling, Supervised Learning, Applied Machine Learning, Predictive Analytics, Random Forest Algorithm, Text Mining, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Python Programming, Scikit Learn (Machine Learning Library), Data Science, Data Processing, Unstructured Data, Algorithms

  • Status: New
    Status: Preview

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Validation, Data Transformation, Pandas (Python Package), Matplotlib

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Computer Vision, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, PySpark, Keras (Neural Network Library), Supervised Learning, Deep Learning, Image Analysis, Reinforcement Learning, Regression Analysis, LLM Application, Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning, Python Programming, Data Science

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Data Cleansing, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Machine Learning, Exploratory Data Analysis, Supervised Learning, MLOps (Machine Learning Operations), Data Pipelines, Jupyter, Big Data, Artificial Neural Networks, Dataflow, Responsible AI, Data Transformation, No-Code Development, Applied Machine Learning

  • 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: 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: Free Trial

    Skills you'll gain: Feature Engineering, Responsible AI, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Cloud Infrastructure, Data Strategy, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing

  • Skills you'll gain: Unsupervised Learning, Supervised Learning, Artificial Intelligence, Data Ethics, Linear Algebra, Dimensionality Reduction, Responsible AI, Machine Learning Methods, Reinforcement Learning, Machine Learning, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Bayesian Statistics, Natural Language Processing, Scientific Visualization, Unstructured Data, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Probability

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Data Processing, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Deep Learning, Artificial Neural Networks, Decision Tree Learning

  • Status: Free Trial

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Statistical Modeling, Data Transformation