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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


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    Fundação Instituto de Administração

    Decision Making

    Skills you'll gain: Decision Making, Strategic Decision-Making, Decision Intelligence, Decision Support Systems, Risk Management, Behavioral Economics, Complex Problem Solving, AI Enablement, Risk Analysis, Organizational Strategy, Decision Tree Learning, Virtual Teams, Psychology, Probability

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Optimizing Enterprise Testing with Functionize

    Skills you'll gain: AI Orchestration, AI Workflows, Software Testing, AI Integrations, Jenkins, Azure DevOps Pipelines, Test Engineering, Azure DevOps, Continuous Deployment

    Advanced · Course · 1 - 4 Weeks

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    Coursera

    Traverse Trees for ML with DFS & BFS

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Applied Machine Learning, Java Programming, Machine Learning Algorithms, Algorithms, Machine Learning, Data Structures, Analysis, Software Engineering

    Advanced · Course · 1 - 4 Weeks

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    Packt

    Python for Data Visualization - A Beginner's Guide

    Skills you'll gain: Plot (Graphics), Pandas (Python Package), Data Visualization, Data Manipulation, Statistical Visualization, Data Processing, Data Import/Export, Regression Analysis

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Apply Neural Networks for Car Price Prediction

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, Data Preprocessing, Model Evaluation, Data Wrangling, Data Import/Export, Data Transformation, Predictive Modeling, Applied Machine Learning, Predictive Analytics, Statistical Methods, Regression Analysis, Model Training, Model Optimization, Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Build & Evaluate Decision Trees for ML

    Skills you'll gain: Model Evaluation, Decision Tree Learning, Classification Algorithms, Model Training, Applied Machine Learning, Java, Java Programming, Model Optimization, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Fine-tuning, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Algorithms

    Advanced · Course · 1 - 4 Weeks

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    Packt

    Clustering and Classification with Machine Learning in R

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Machine Learning Methods, Applied Machine Learning, R (Software), Classification Algorithms, Statistical Machine Learning, Data Wrangling, Machine Learning Algorithms, Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Classification And Regression Tree (CART), Feature Engineering, Machine Learning Software, Data Preprocessing, Statistical Programming

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    R: Design & Evaluate Random Forests for Attrition

    Skills you'll gain: Model Evaluation, Data Preprocessing, Model Optimization, People Analytics, Model Training, Workforce Management, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Grow Trees & Powerful Ensembles

    Skills you'll gain: Classification And Regression Tree (CART), Model Deployment, Model Optimization, Decision Tree Learning, Predictive Modeling, Model Evaluation, Model Training, Predictive Analytics, Machine Learning Methods, Random Forest Algorithm, Applied Machine Learning, Data-Driven Decision-Making, Performance Tuning, Feasibility Studies, Scikit Learn (Machine Learning Library), Data Visualization, Performance Analysis, Statistical Methods, Cost Benefit Analysis, Performance Measurement

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

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    Edureka

    AutoML: Build ML Models without Code

    Skills you'll gain: Image Analysis, Model Deployment, Reinforcement Learning, Google Cloud Platform, Computer Vision, No-Code Development, Feature Engineering, Applied Machine Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Google Sheets, Deep Learning, Machine Learning Software, Cloud Deployment, Convolutional Neural Networks, Model Evaluation, Predictive Modeling, Machine Learning, Data Science

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Economic Decision Making Part 2

    Skills you'll gain: Depreciation, Risk Analysis, Risk Modeling, Engineering Management, Cost Benefit Analysis, Strategic Decision-Making, Decision Tree Learning, Financial Analysis, Capital Budgeting, Tax Management, Decision Making, Capital Expenditure, Tax Planning, Income Tax, Economics, Simulation and Simulation Software, Probability Distribution, Corporate Tax, Cash Flows

    Mixed · Course · 1 - 3 Months

1…55565758

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

  • Decision Making: Fundação Instituto de Administração
  • Optimizing Enterprise Testing with Functionize: Coursera
  • Traverse Trees for ML with DFS & BFS: Coursera
  • Python for Data Visualization - A Beginner's Guide: Packt
  • Apply Neural Networks for Car Price Prediction: EDUCBA
  • Build & Evaluate Decision Trees for ML: Coursera
  • Clustering and Classification with Machine Learning in R: Packt
  • R: Design & Evaluate Random Forests for Attrition: EDUCBA
  • Grow Trees & Powerful Ensembles: Coursera
  • Build Predictive & Supervised Models: Coursera

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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