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  • Regularization To Avoid Overfitting

Results for "regularization to avoid overfitting"


  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Unsupervised Algorithms in Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Feature Engineering, Scikit Learn (Machine Learning Library), NumPy, Model Evaluation

    Build toward a degree

    3.6
    Rating, 3.6 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Fine Tune BERT for Text Classification with TensorFlow

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    211 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Regression Analysis

    Skills you'll gain: Regression Analysis, Supervised Learning, Model Evaluation, Logistic Regression, Statistical Analysis, Data Analysis, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Feature Engineering, Data Preprocessing, Exploratory Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis

    4
    Rating, 4 out of 5 stars
    ·
    10 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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

  • H

    H2O.ai

    DataPrep for H2O Driverless AI

    Skills you'll gain: Supervised Learning, Data Preprocessing, Machine Learning, Machine Learning Algorithms, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Data Analysis, Feature Engineering, Data Transformation, Data Manipulation, Model Evaluation, Exploratory Data Analysis, Classification Algorithms, Regression Analysis

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning for Kyphosis Disease Classification

    Skills you'll gain: Feature Engineering, Data Visualization Software, Data Cleansing, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Data Manipulation, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    13 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    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

  • C

    Coursera

    Deep Learning with PyTorch : Object Localization

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Computer Vision, Transfer Learning, Applied Machine Learning, Model Evaluation, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    48 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    D

    DeepLearning.AI

    Finetuning Large Language Models

    Skills you'll gain: Large Language Modeling, Prompt Engineering, Retrieval-Augmented Generation, Transfer Learning, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    599 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Credit Default Prediction with Python: Apply & Analyze

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Decision Tree Learning, Credit Risk, Random Forest Algorithm, Feature Engineering, Financial Modeling, Logistic Regression, Data Analysis, Statistical Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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, Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms, Test Data, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    818 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular regularization to avoid overfitting courses

  • Unsupervised Algorithms in Machine Learning: University of Colorado Boulder
  • Fine Tune BERT for Text Classification with TensorFlow: Coursera
  • Regression Analysis: University of Colorado Boulder
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
  • DataPrep for H2O Driverless AI: H2O.ai
  • Machine Learning for Kyphosis Disease Classification: Coursera
  • Deep Learning with R: Build & Predict Neural Networks: EDUCBA
  • Deep Learning with PyTorch : Object Localization: Coursera
  • Finetuning Large Language Models: DeepLearning.AI

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