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  • Regularization To Avoid Overfitting

Results for "regularization to avoid overfitting"


  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

    Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Classification Algorithms, Supervised Learning, Applied Machine Learning, Python Programming, Feature Engineering, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Data Manipulation, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    161 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    LLM Fine-Tuning and Customization Training

    Skills you'll gain: LangChain, Responsible AI, Large Language Modeling, Model Deployment, OpenAI, Data Preprocessing, Hugging Face, Model Evaluation, Transfer Learning, Supervised Learning, Reinforcement Learning

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Pneumonia Classification using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Data Preprocessing, Transfer Learning, Convolutional Neural Networks, Medical Imaging, Radiology, Image Analysis, Deep Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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

  • C

    Coursera

    Detecting COVID-19 with Chest X-Ray using PyTorch

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    339 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    New York University

    MOST from a Methodological Perspective

    Skills you'll gain: Clinical Trials, Experimentation, Sample Size Determination, Research Design, Continuous Quality Improvement (CQI), Program Evaluation, Research Methodologies, Statistical Analysis

    Intermediate · Course · 1 - 3 Months

  • 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: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Modeling, Feature Engineering, Machine Learning, Data Preprocessing, Python Programming, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Retrieval Optimization: Tokenization to Vector Quantization

    Skills you'll gain: Embeddings, Retrieval-Augmented Generation, Vector Databases, Text Mining, Large Language Modeling, Performance Tuning

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    76 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Balancing with Gen AI: Credit Card Fraud Detection

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Fraud detection, Keras (Neural Network Library), Tensorflow, Data Preprocessing, Deep Learning, Dimensionality Reduction, Exploratory Data Analysis, Anomaly Detection, Data Visualization, Data Synthesis, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    9 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Support Vector Machines in Python, From Start to Finish: Coursera
  • LLM Fine-Tuning and Customization Training: Simplilearn
  • Pneumonia Classification using PyTorch : Coursera
  • Solving ML Regression Problems with AWS AutoGluon: Coursera
  • Detecting COVID-19 with Chest X-Ray using PyTorch: Coursera
  • Mathematics for Machine Learning: PCA: Imperial College London
  • MOST from a Methodological Perspective: New York University
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • Machine Learning: Regression: University of Washington
  • Retrieval Optimization: Tokenization to Vector Quantization: DeepLearning.AI

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