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  • Model Regularization

Results for "model+regularization"


  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Machine Learning, Bayesian Statistics, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    E

    EDUCBA

    Logistic Regression with R: Build & Predict

    Skills you'll gain: Logistic Regression, Model Evaluation, Data Preprocessing, Predictive Modeling, R Programming, Feature Engineering, Statistical Modeling, Risk Modeling, Classification And Regression Tree (CART), Applied Machine Learning, Regression Analysis, Predictive Analytics, Advanced Analytics, Machine Learning Methods, Data Manipulation, Supervised Learning, Performance Measurement, Credit Risk, Dimensionality Reduction

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Build and deploy a stroke prediction model using R

    Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    31 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Customising your models with TensorFlow 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Data Pipelines, Keras (Neural Network Library), Transfer Learning, Deep Learning, Convolutional Neural Networks, Natural Language Processing, Embeddings, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    196 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Solving ML Regression Problems with AWS AutoGluon

    Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Amazon Web Services, Regression Analysis, Data Analysis

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Modeling Data in the Tidyverse

    Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Classification And Regression Tree (CART), Statistical Inference, Statistical Analysis, Rmarkdown, Data Preprocessing, Statistical Methods, Probability & Statistics, Model Evaluation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Analyze and Build Deep Learning Models with TensorFlow

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Modern Regression Analysis in R

    Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Data Science, R Programming, Data Modeling, Statistical Analysis, Predictive Modeling, Mathematical Modeling, Probability & Statistics, Model Evaluation, Feature Engineering

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    37 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Scikit-Learn to Solve Regression Machine Learning Problems

    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, Machine Learning, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    SAS

    Modeling Time Series and Sequential Data

    Skills you'll gain: Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), SAS (Software), Forecasting, Regression Analysis, Machine Learning Methods, Statistical Analysis, Advanced Analytics, Statistical Methods, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    EDUCBA

    Predictive Models: Build, Explore Data & Deploy

    Skills you'll gain: Model Evaluation, Data Preprocessing, Model Deployment, Risk Modeling, Logistic Regression, Statistical Analysis, Performance Metric

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Generalized Linear Models and Nonparametric Regression

    Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Statistical Methods, Regression Analysis, Predictive Modeling, Mathematical Modeling, Machine Learning, Logistic Regression, Statistical Inference, Model Evaluation, Probability Distribution, Linear Algebra, Calculus

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 4 Weeks

1…6789

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

  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • Logistic Regression with R: Build & Predict: EDUCBA
  • Build and deploy a stroke prediction model using R: Coursera
  • Customising your models with TensorFlow 2: Imperial College London
  • Solving ML Regression Problems with AWS AutoGluon: Coursera
  • Modeling Data in the Tidyverse: Johns Hopkins University
  • Analyze and Build Deep Learning Models with TensorFlow: EDUCBA
  • Modern Regression Analysis in R: University of Colorado Boulder
  • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
  • Modeling Time Series and Sequential Data: SAS

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