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  • Model Regularization

Results for "model+regularization"


  • J

    Johns Hopkins University

    Modeling Data in the Tidyverse

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 3 Months

  • 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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    36 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Track and Evaluate ML Model Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Version Control, Large Language Modeling, Git (Version Control System), Data Management, Performance Testing, Dashboard, Machine Learning, Scripting, Performance Analysis, Technical Documentation

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Transfer Learning, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Artificial Neural Networks, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.1K 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

  • P

    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment

    Intermediate · Course · 1 - 3 Months

  • 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

  • C

    Coursera

    Breast Cancer Prediction Using Machine Learning

    Skills you'll gain: Data Cleansing, Logistic Regression, Data Preprocessing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Predictive Modeling, Classification Algorithms, Machine Learning, Supervised Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    57 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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

  • U

    University of Michigan

    Linear Regression Modeling for Health Data

    Skills you'll gain: Statistical Modeling, Statistics, Regression Analysis, Statistical Methods, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • E

    EDUCBA

    Deep Learning with R: Build & Predict Neural Networks

    Skills you'll gain: Plot (Graphics), Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Modeling, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Data Preprocessing, Performance Testing

    Mixed · Course · 1 - 4 Weeks

1…678…9

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

  • Modeling Data in the Tidyverse: Johns Hopkins University
  • Modern Regression Analysis in R: University of Colorado Boulder
  • Track and Evaluate ML Model Experiments: Coursera
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
  • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
  • Matrix Calculus for Data Science & Machine Learning: Packt
  • Machine Learning Operations with Vertex AI: Model Evaluation: Google Cloud
  • Breast Cancer Prediction Using Machine Learning: Coursera
  • Quantization Fundamentals with Hugging Face: DeepLearning.AI
  • Linear Regression Modeling for Health Data: University of Michigan

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