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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


  • E

    EDUCBA

    AI Machine Learning with R & Python Projects

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

    ★ 4.6 (19) · Beginner · Specialization · 3 - 6 Months

  • U

    University of Illinois Urbana-Champaign

    Data Analytics Foundations for Accountancy II

    Skills you'll gain: Anomaly Detection, Feature Engineering, Data Ethics, Machine Learning Algorithms, Machine Learning Methods, Classification Algorithms, Responsible AI, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Supervised Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Model Evaluation, Model Training, Machine Learning Software, Decision Tree Learning, Model Optimization, Regression Analysis

    ★ 4.5 (11) · Beginner · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Applied Machine Learning

    Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Machine Learning Methods, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Model Training, Machine Learning, Deep Learning, Model Optimization

    ★ 3.4 (16) · Intermediate · Specialization · 3 - 6 Months

  • S

    SkillUp

    The DMAIC Framework: Analyze, Improve, and Control Phase

    Skills you'll gain: Exploratory Data Analysis, Statistical Process Controls, Six Sigma Methodology, Statistical Hypothesis Testing, Lean Six Sigma, Statistical Analysis, Continuous Improvement Process, Data Analysis, Analysis, Process Analysis, Process Improvement, Quality Improvement, Statistical Methods, Quality Monitoring, Quality Control, Process Improvement and Optimization, Root Cause Analysis, Data-Driven Decision-Making, Statistics, Statistical Inference

    ★ 4.6 (18) · Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Creating Multi Task Models With Keras

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Model Training, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Model Optimization, Machine Learning, Computer Vision

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

  • P

    Packt

    Deep Neural Network for Beginners Using Python

    Skills you'll gain: Data Preprocessing, Deep Learning, Data Processing, Artificial Neural Networks, Logistic Regression, Applied Machine Learning, Program Development, Python Programming, Network Architecture, Model Training, Model Optimization, Machine Learning Algorithms, NumPy, Pandas (Python Package), Linear Algebra

    Beginner · Course · 1 - 3 Months

  • L

    LearnQuest

    Advanced AI Techniques for the Supply Chain

    Skills you'll gain: Image Analysis, Model Training, Supervised Learning, Applied Machine Learning, Model Evaluation, Machine Learning Methods, Demand Planning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Anomaly Detection, Artificial Intelligence, Convolutional Neural Networks, Model Optimization, Statistical Machine Learning, Supply Chain Management, Machine Learning, Computer Vision, Machine Learning Algorithms, Supply Chain, Natural Language Processing

    ★ 3.2 (15) · Intermediate · Course · 1 - 4 Weeks

  • O

    O.P. Jindal Global University

    Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Model Training, Scikit Learn (Machine Learning Library), Tensorflow, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Machine Learning Algorithms, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Model Optimization, Embeddings, Pandas (Python Package), Natural Language Processing

    ★ 3.9 (9) · Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Machine/Deep Learning for Mining Quality Prediction-Enhanced

    Skills you'll gain: Exploratory Data Analysis, Model Training, Model Evaluation, Data Preprocessing, Regression Analysis, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Analysis, Plot (Graphics), Machine Learning, Data Visualization, Decision Tree Learning, Predictive Analytics, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods, Python Programming

    ★ 4.9 (7) · Beginner · Guided Project · Less Than 2 Hours

  • E

    EDUCBA

    Six Sigma Black Belt: Analyze, Improve & Control

    Skills you'll gain: Lean Six Sigma, Sample Size Determination, Six Sigma Methodology, Process Improvement, Quality Improvement, Data-Driven Decision-Making, Lean Methodologies, Statistical Process Controls, Process Improvement and Optimization, Process Analysis, Lean Manufacturing, Continuous Improvement Process, Predictive Modeling, Predictive Analytics, Statistical Methods, Process Capability, Statistics, Quality Management, Statistical Analysis, Quality Monitoring

    ★ 5 (13) · Mixed · Course · 1 - 4 Weeks

  • U

    University of Washington

    머신 러닝: 회귀 모델

    Skills you'll gain: Model Evaluation, Regression Analysis, Model Training, Statistical Machine Learning, Supervised Learning, Predictive Modeling, Statistical Modeling, Statistical Methods, Machine Learning, Machine Learning Algorithms, Model Optimization, Predictive Analytics, Applied Machine Learning, Feature Engineering, Statistical Programming, Model Deployment, Algorithms

    Mixed · Course · 1 - 3 Months

  • P

    Packt

    Machine Learning, Data Science and Generative AI with Python

    Skills you'll gain: Apache Spark, Retrieval-Augmented Generation, OpenAI API, Generative AI, LLM Application, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Fine-tuning, Transfer Learning, Deep Learning, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

1…424344…59

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

  • AI Machine Learning with R & Python Projects: EDUCBA
  • Data Analytics Foundations for Accountancy II: University of Illinois Urbana-Champaign
  • Applied Machine Learning: Johns Hopkins University
  • The DMAIC Framework: Analyze, Improve, and Control Phase: SkillUp
  • Creating Multi Task Models With Keras: Coursera
  • Deep Neural Network for Beginners Using Python: Packt
  • Advanced AI Techniques for the Supply Chain: LearnQuest
  • Machine Learning: O.P. Jindal Global University
  • Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera
  • Six Sigma Black Belt: Analyze, Improve & Control: 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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