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  • Logistic Regression

Logistic Regression Courses

Logistic regression courses can help you learn statistical modeling, hypothesis testing, and the interpretation of coefficients. You can build skills in evaluating model performance, understanding odds ratios, and applying techniques like regularization to improve accuracy. Many courses introduce tools such as R, Python, and specialized libraries like scikit-learn, showing how these skills are used to analyze binary outcomes in various fields, including healthcare, finance, and marketing.


Popular Logistic Regression Courses and Certifications


  • Status: Free
    Free
    C

    Coursera

    TensorFlow Prediction: Identify Penguin Species

    Skills you'll gain: Data Processing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Data Manipulation, Machine Learning, Predictive Modeling, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mastering Neural Networks and Model Regularization

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision, Network Architecture, Performance Tuning

    Intermediate · Course · 1 - 3 Months

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    Fractal Analytics

    Unlocking AI and ML : Your Path to Smart Business Solutions

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Business Analytics, Data Literacy, Data Analysis, Data Cleansing, Business Intelligence, Data Quality, Business Ethics, Artificial Neural Networks, Machine Learning, Deep Learning, Data Science, Predictive Modeling, Python Programming, Unsupervised Learning

    Beginner · Course · 1 - 3 Months

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    Packt

    Algorithm Alchemy: Unlocking the Secrets of Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals, Part 2

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Machine Learning, Classification And Regression Tree (CART)

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Classify Text into Categories with the Natural Language API

    Skills you'll gain: Text Mining, Natural Language Processing, Cloud API, Google Cloud Platform, Unstructured Data, Classification And Regression Tree (CART), Application Programming Interface (API), Data Analysis

    Intermediate · Project · Less Than 2 Hours

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    Northeastern University

    Machine Learning and Data Analytics Part 2

    Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Big Data, Artificial Neural Networks, Trend Analysis, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Statistical Analysis, Forecasting, Advanced Analytics, Deep Learning, Predictive Analytics, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

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    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Statistical Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Probability & Statistics, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Skills you'll gain: Supervised Learning, Random Forest Algorithm, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Predictive Modeling, Performance Testing, Data Analysis, Scikit Learn (Machine Learning Library), Python Programming

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Master Decision Trees in R: Build, Predict & Evaluate

    Skills you'll gain: Supervised Learning, Data-Driven Decision-Making

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Serverless Data Processing with Dataflow: Operations en Español

    Skills you'll gain: Dataflow, Data Pipelines, Debugging, Operational Databases, Google Cloud Platform, System Monitoring, Data Integrity, CI/CD, Maintainability, Data Processing, Unit Testing, Performance Tuning, Disaster Recovery

    Advanced · Course · 1 - 3 Months

Searches related to logistic regression

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spss: apply & interpret logistic regression models
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1…50515253

In summary, here are 10 of our most popular logistic regression courses

  • TensorFlow Prediction: Identify Penguin Species: Coursera
  • Mastering Neural Networks and Model Regularization: Johns Hopkins University
  • Unlocking AI and ML : Your Path to Smart Business Solutions: Fractal Analytics
  • Algorithm Alchemy: Unlocking the Secrets of Machine Learning: Packt
  • Data Science Fundamentals, Part 2: Pearson
  • Advanced ML Algorithms & Unsupervised Learning: Packt
  • Classify Text into Categories with the Natural Language API: Google Cloud
  • Machine Learning and Data Analytics Part 2: Northeastern University
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

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