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  • Logistic Regression For Classification


Results for "logistic regression for classification"


  • Status: New
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    E

    EDUCBA

    AI Machine Learning with R & Python Projects

    Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)

    4.3
    Rating, 4.3 out of 5 stars
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    6 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Johns Hopkins University

    Advanced Statistics for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Science, Statistics, Mathematical Modeling, Data Analysis, Data Modeling, Applied Mathematics

    4.4
    Rating, 4.4 out of 5 stars
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    783 reviews

    Advanced · Specialization · 3 - 6 Months

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    EDUCBA

    Predictive Analytics & Modeling with Minitab

    Skills you'll gain: Data-Driven Decision-Making, Minitab, Regression Analysis, Logistic Regression, Statistical Hypothesis Testing, Statistical Analysis, Scatter Plots, Correlation Analysis, Data Analysis, Predictive Analytics, Statistical Methods, Descriptive Statistics, Analytics, Business Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Statistical Modeling, Quantitative Research, Case Studies

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Regression Analysis, Unsupervised Learning

    4.9
    Rating, 4.9 out of 5 stars
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    32K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    G

    Google

    Regression Analysis: Simplify Complex Data Relationships

    Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Hypothesis Testing, Data Analysis, Statistical Analysis, Correlation Analysis, Business Analytics, Statistical Modeling, Model Evaluation, Variance Analysis, Predictive Modeling, Machine Learning, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    579 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Michigan

    Logistic Regression and Prediction for Health Data

    Skills you'll gain: Logistic Regression, Model Evaluation, Statistical Inference, Predictive Analytics, R Programming, Statistical Modeling, Statistical Methods, Biostatistics, Regression Analysis, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

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  • Status: Free Trial
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    J

    Johns Hopkins University

    Regression Models

    Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Analysis, Model Evaluation, Probability & Statistics, Statistical Inference

    4.4
    Rating, 4.4 out of 5 stars
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    3.4K reviews

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    SPSS: Apply & Interpret Logistic Regression Models

    Skills you'll gain: Logistic Regression, Model Evaluation

    5
    Rating, 5 out of 5 stars
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    13 reviews

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Logistic Regression with R: Build & Predict

    Skills you'll gain: Logistic Regression, Model Evaluation, Data Preprocessing, Predictive Modeling, R Programming, Feature Engineering, Risk Modeling, Classification And Regression Tree (CART), Statistical Modeling, 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 Trial
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    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
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    448 reviews

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Logistic Regression Fundamentals: Analyze & Predict

    Skills you'll gain: Model Evaluation, Logistic Regression, SAS (Software), Predictive Modeling, Regression Analysis, Predictive Analytics, Feature Engineering, Analytics, Statistical Methods, Data Transformation, Statistical Modeling, Statistical Analysis, Business Analytics, Estimation, Probability

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

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

  • AI Machine Learning with R & Python Projects: EDUCBA
  • Advanced Statistics for Data Science: Johns Hopkins University
  • Predictive Analytics & Modeling with Minitab: EDUCBA
  • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
  • Regression Analysis: Simplify Complex Data Relationships: Google
  • Logistic Regression and Prediction for Health Data: University of Michigan
  • Regression Models: Johns Hopkins University
  • SPSS: Apply & Interpret Logistic Regression Models: EDUCBA
  • Logistic Regression with R: Build & Predict: EDUCBA
  • Supervised Machine Learning: Classification: IBM

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