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  • Model Regularization

Results for "model+regularization"


  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Machine Learning Models in Science

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Dimensionality Reduction, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Artificial Neural Networks, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Supervised Learning, Classification Algorithms, Predictive Modeling, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • 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
    ·
    9 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Advanced Machine Learning with R: Apply & Predict

    Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Machine Learning Algorithms, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Data Preprocessing, Model Evaluation, Exploratory Data Analysis, Probability & Statistics

    Mixed · Course · 1 - 4 Weeks

  • 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

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    Managing Machine Learning Models

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Machine Learning Software, Workflow Management, Predictive Modeling, Business Process, Governance Risk Management and Compliance, Continuous Monitoring, SAS (Software), Text Mining, R Programming, Scheduling

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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

  • Status: Free Trial
    Free Trial
    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
    ·
    108 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Pandas (Python Package), NumPy, Data Cleansing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    17 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Build Regression, Classification, and Clustering Models

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 3 Months

  • 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

  • Status: Free
    Free
    D

    DeepLearning.AI

    Quantization Fundamentals with Hugging Face

    Skills you'll gain: Generative AI, Hugging Face, Large Language Modeling, Performance Tuning, Model Deployment, Transfer Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    15 reviews

    Beginner · Project · Less Than 2 Hours

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

  • Machine Learning Models in Science: LearnQuest
  • Predictive Models: Build, Explore Data & Deploy: EDUCBA
  • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
  • Advanced Machine Learning with R: Apply & Predict: EDUCBA
  • Customising your models with TensorFlow 2: Imperial College London
  • Managing Machine Learning Models: SAS
  • Interventions and Calibration: Imperial College London
  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
  • Python: Logistic Regression & Supervised ML: EDUCBA
  • Build Regression, Classification, and Clustering Models: CertNexus

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