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  • Model Regularization

Results for "model+regularization"


  • F

    Fractal Analytics

    How to Build a Diffusion Model - An Introduction

    Skills you'll gain: Model Evaluation, Generative AI, Data Preprocessing, Transfer Learning, PyTorch (Machine Learning Library), Machine Learning, Convolutional Neural Networks, Image Quality

    Intermediate · Course · 1 - 4 Weeks

  • M

    MathWorks

    Predictive Modeling and Machine Learning with MATLAB

    Skills you'll gain: Supervised Learning, Model Evaluation, Classification Algorithms, Applied Machine Learning, Matlab, Regression Analysis, Data Preprocessing, Predictive Modeling, Machine Learning, Feature Engineering, Decision Tree Learning, Logistic Regression, Data Cleansing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    119 reviews

    Beginner · Course · 1 - 4 Weeks

  • W

    Wesleyan University

    Regression Modeling in Practice

    Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Methods, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, Analysis, SAS (Software), Scatter Plots, Predictive Modeling, Model Evaluation, Data Manipulation, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    274 reviews

    Mixed · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning Operations with Vertex AI: Model Evaluation

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Deployment, Data Ethics, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    948 reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    829 reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistical Inference

    4.6
    Rating, 4.6 out of 5 stars
    ·
    107 reviews

    Advanced · Course · 1 - 4 Weeks

  • U

    University of Minnesota

    Introduction to Predictive Modeling

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Predictive Modeling, Data Preprocessing, Regression Analysis, Microsoft Excel, Forecasting, Excel Formulas, Pivot Tables And Charts, Data Transformation, Statistical Modeling, Trend Analysis, Predictive Analytics, Statistical Methods

    4.8
    Rating, 4.8 out of 5 stars
    ·
    144 reviews

    Mixed · Course · 1 - 4 Weeks

  • M

    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Transfer Learning, Machine Learning, Tensorflow

    4.5
    Rating, 4.5 out of 5 stars
    ·
    330 reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Interventions and Calibration

    Skills you'll gain: Mathematical Modeling, Epidemiology, Infectious Diseases, Model Evaluation, Simulations, Statistical Modeling, Predictive Modeling, Data Modeling, R Programming, Statistical Methods, Public Health, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    56 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Advanced Linear Models for Data Science 1: Least Squares

    Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives

    4.5
    Rating, 4.5 out of 5 stars
    ·
    190 reviews

    Advanced · Course · 1 - 3 Months

  • P

    Packt

    The STATA OMNIBUS: Regression and Modelling with STATA

    Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Methods, Statistical Analysis, Data Visualization, Data Manipulation, Logistic Regression, Predictive Modeling, Statistical Hypothesis Testing, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 3 - 6 Months

1…456…9

In summary, here are 10 of our most popular model+regularization courses

  • How to Build a Diffusion Model - An Introduction: Fractal Analytics
  • Predictive Modeling and Machine Learning with MATLAB: MathWorks
  • Regression Modeling in Practice: Wesleyan University
  • Machine Learning Operations with Vertex AI: Model Evaluation: Google Cloud
  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • Supervised Machine Learning: Regression: IBM
  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
  • Introduction to Predictive Modeling: University of Minnesota
  • Create Machine Learning Models in Microsoft Azure: Microsoft
  • Interventions and Calibration: Imperial College London

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