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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


  • F

    Fundação Instituto de Administração

    Engajamento, Conversão e o Consumidor

    Skills you'll gain: Marketing Analytics, Conversion Funnel Analysis, Sales Strategy, Data-Driven Marketing, Customer Analysis, Digital Analysis, Marketing Strategies, Data Visualization Software, Customer Engagement, Driving engagement, Sales, Consumer Behaviour, Market Analysis, Regression Analysis, Statistical Analysis, Target Market, Decision Tree Learning, Decision Making, Journey Mapping, Logistic Regression

    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 Wrangling, Data Preprocessing, Data Science, Model Training, Machine Learning, Machine Learning Algorithms, Python Programming

    ★ 4.6 (13) · Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Model Training, Data Cleansing, Data Import/Export, Data Transformation, Apache Spark, Data-Driven Decision-Making, AI Enablement, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Machine Learning

    ★ 4.7 (26) · Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Data Visualization, Plot (Graphics), Regression Analysis, Machine Learning Algorithms, Pandas (Python Package), Predictive Analytics, Statistical Analysis, Scientific Visualization, Machine Learning Software, Machine Learning, Supervised Learning, Data Science, Statistical Methods, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

  • U

    University of Virginia

    Mercadeo analítico

    Skills you'll gain: Marketing Analytics, Data-Driven Marketing, Marketing Effectiveness, Customer Analysis, Data-Driven Decision-Making, Marketing Strategies, Brand Management, Marketing, Regression Analysis, Analytics, Customer Retention, Consumer Behaviour, Case Studies, Return On Investment, Statistical Analysis, A/B Testing

    Beginner · Course · 1 - 3 Months

  • U

    Università di Napoli Federico II

    Machine Learning e Data Mining in R

    Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Applied Machine Learning, Transfer Learning, Machine Learning, Machine Learning Algorithms, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Manipulation

    ★ 4.9 (10) · Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Decision Tree Classifier for Beginners in R

    Skills you'll gain: Model Evaluation, Model Training, Classification And Regression Tree (CART), Decision Tree Learning, Data Preprocessing, R (Software), Statistical Modeling, R Programming, Supervised Learning, Machine Learning

    ★ 4.8 (6) · Beginner · Guided Project · Less Than 2 Hours

  • P

    Packt

    Deep Learning - Artificial Neural Networks with TensorFlow

    Skills you'll gain: Model Optimization, Tensorflow, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Model Training, Machine Learning, NumPy, Regression Analysis, Network Architecture

    Intermediate · Course · 1 - 3 Months

  • U

    University of Virginia

    L'analyse marketing

    Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Data-Driven Marketing, Marketing Planning, Data-Driven Decision-Making, Marketing Strategies, Marketing, Customer Analysis, Brand Management, Web Analytics, Analytics, Campaign Planning, Branding, Brand Awareness, Regression Analysis, Return On Investment, Consumer Behaviour, Statistical Analysis, Correlation Analysis, Online Advertising

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    Machine Learning with Python: Case Studies

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Model Training, Risk Modeling, Predictive Modeling, Statistical Methods, Predictive Analytics, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning Methods, Machine Learning, Python Programming, Logistic Regression

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning in Retail

    Skills you'll gain: Customer Analysis, Unsupervised Learning, Customer Insights, Marketing Analytics, Applied Machine Learning, Data Analysis, Machine Learning Methods, Web Analytics, Data-Driven Marketing, Retail Store Operations, Machine Learning, Machine Learning Algorithms, Histogram, Decision Tree Learning, Data Preprocessing, Pandas (Python Package)

    ★ 4.9 (9) · Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Machine Learning with Python: Build & Optimize

    Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Data Visualization, Plot (Graphics), Python Programming, Applied Machine Learning, Model Optimization, Model Training, Data Processing, Pandas (Python Package), Data Wrangling, Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Data Manipulation

    ★ 4.8 (12) · Mixed · Course · 1 - 4 Weeks

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

  • Engajamento, Conversão e o Consumidor: Fundação Instituto de Administração
  • Machine Learning for Kyphosis Disease Classification: Coursera
  • Machine Learning with PySpark: Customer Churn Analysis: Coursera
  • Foundations of Data Science and Machine Learning with Python: Packt
  • Mercadeo analítico: University of Virginia
  • Machine Learning e Data Mining in R: Università di Napoli Federico II
  • Decision Tree Classifier for Beginners in R: Coursera
  • Deep Learning - Artificial Neural Networks with TensorFlow: Packt
  • L'analyse marketing: University of Virginia
  • Machine Learning with Python: Case Studies: 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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