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)"

  • Coursera

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Training, Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.5 stars, 20 reviews, Beginner, Guided Project, Less Than 2 Hours

  • University of Michigan

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Model Training, Model Optimization, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks

    4.6 stars, 8.8K reviews, Intermediate, Course, 1 - 4 Weeks

  • University of Glasgow

    Skills you'll gain: NumPy, Scikit Learn (Machine Learning Library), Object Oriented Programming (OOP), Matplotlib, LLM Application, Machine Learning Methods, Applied Machine Learning, Large Language Modeling, Pandas (Python Package), Statistical Machine Learning, Development Environment, Model Training, Data Analysis, Generative AI, Data Structures, Programming Principles, Prompt Patterns, Python Programming, Prompt Engineering, Unit Testing

    Intermediate · Course · 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Model Training, Machine Learning, Data Analysis

    4.8 stars, 11 reviews, Beginner, Guided Project, Less Than 2 Hours

  • EDUCBA

    Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Python Programming, Applied Machine Learning, Model Optimization, Data Processing, Pandas (Python Package), Data Wrangling, Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Data Science, Dimensionality Reduction, Unsupervised Learning, Performance Tuning

    4.8 stars, 12 reviews, Mixed, Course, 1 - 4 Weeks

  • University of Glasgow

    Skills you'll gain: NumPy, Generative AI, Data Preprocessing, Model Evaluation, Scikit Learn (Machine Learning Library), LLM Application, Deep Learning, Python Programming, Prompt Engineering, Feature Engineering, Operations Research, Dimensionality Reduction, Algorithms, Object Oriented Programming (OOP), Mathematical Modeling, Matplotlib, Data Structures, Unit Testing, Data Visualization, Performance Analysis

    Intermediate · Specialization · 1 - 3 Months

  • Multiple educators

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning

    4.9 stars, 39K reviews, Beginner, Specialization, 1 - 3 Months

  • IBM

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Feature Engineering, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Machine Learning Methods, Statistical Hypothesis Testing, Model Training, Data Processing, Machine Learning

    4.6 stars, 3.4K reviews, Intermediate, Specialization, 3 - 6 Months

  • IBM

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Model Training, Predictive Modeling, Machine Learning Algorithms, Statistical Methods, Machine Learning, Dimensionality Reduction, Python Programming, Logistic Regression, Model Optimization, Classification Algorithms

    4.7 stars, 18K reviews, Intermediate, Course, 1 - 3 Months

  • Edureka

    Skills you'll gain: MLOps (Machine Learning Operations), DevOps, CI/CD, Continuous Deployment, Devops Tools, Continuous Integration, Application Deployment, Application Lifecycle Management, Kubernetes, Applied Machine Learning, Machine Learning, Machine Learning Methods, Docker (Software), Containerization, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Statistical Machine Learning, Machine Learning Algorithms, Apache Kafka, Amazon Web Services

    Intermediate · Course · 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Kubernetes, Docker (Software), Containerization, Test Driven Development (TDD), Application Deployment, Continuous Integration, Software Testing, Model Training, CI/CD, Scalability, Scikit Learn (Machine Learning Library), Tensorflow, PyTorch (Machine Learning Library), Performance Tuning, Python Programming, Software Engineering, Git (Version Control System)

    Intermediate · Specialization · 1 - 3 Months

  • Board Infinity

    Skills you'll gain: Feature Engineering, Model Evaluation, Model Deployment, Fine-tuning, Data Preprocessing, Model Training, Deep Learning, Machine Learning Methods, Model Optimization, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Scalability, Hugging Face, Docker (Software), Supervised Learning, Machine Learning Algorithms, MLOps (Machine Learning Operations), Applied Machine Learning, Software Development, Machine Learning

    Intermediate · Specialization · 1 - 3 Months