Logistic Regression Courses and Certifications

Predictive Modeling and Analytics

597 ratings at Coursera

Gain insights through data analysis, visualization, and predictive modeling techniques. Learn to use XLMiner for regression, classification, decision trees, and neural networks in business contexts.

• Coursera
• 10 hours 52 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Machine Learning: Theory and Hands-on Practice with Python

Comprehensive exploration of machine learning, covering supervised and unsupervised techniques, with hands-on Python practice. Includes deep learning basics and real-world applications.

• Coursera
• 17 weeks, 9 hours a week
• On-Demand
• Paid Course
• 3 courses

Classification Analysis

Explore key classification algorithms, their applications, and evaluation methods. Gain hands-on experience through tutorials and case studies to solve real-world data analysis problems.

• Coursera
• 1 day 14 hours 13 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Machine Learning: Supervised Learning

59 ratings at Coursera

Explore supervised ML algorithms, prediction tasks, and model selection. Learn to improve performance using linear/logistic regression, KNN, decision trees, ensembling methods, and kernel techniques like SVM.

• Coursera
• 1 day 15 hours 59 minutes
• On-Demand
• Free Online Course (Audit)

Modeling Climate Anomalies with Statistical Analysis

Learn to model climate data using statistical analysis in Python, covering data visualization, predictive modeling, and regression techniques with emphasis on practical application to climate datasets.

• Coursera
• 7 hours 20 minutes
• On-Demand
• Free Online Course (Audit)

Regression Modeling for Marketers

Elevate marketing skills with regression analysis, data visualization, and advanced statistical techniques for quantifying, explaining, and predicting marketing outcomes and consumer behavior.

• Coursera
• 19 hours 9 minutes
• On-Demand
• Free Online Course (Audit)

Natural Language Processing with Classification and Vector Spaces

4461 ratings at Coursera

This is the Course 1 of the Natural Language Processing Specialization, offered by deeplearning.ai

• Coursera
• 1 day 9 hours 23 minutes
• On-Demand
• Free Online Course (Audit)

Marketing Analytics Capstone Project

29 ratings at Coursera

Apply marketing analytics skills to conduct exploratory data analysis, examine variable relationships, and develop a predictive model for solving real-world marketing problems.

• Coursera
• 11 hours 1 minute
• On-Demand
• Free Online Course (Audit)

Microcredential

Statistical Analysis with R for Public Health

Learn statistical analysis with R for public health applications. Covers key concepts, data analysis techniques, and hands-on practice using real-world health datasets to address major public health challenges.

• Coursera
• 17 weeks, 3 hours a week
• On-Demand
• Paid Course
• 4 courses

Bayesian Statistics: Techniques and Models

484 ratings at Coursera

Expand your Bayesian toolbox with advanced models and MCMC methods. Learn to construct, fit, assess, and compare sophisticated statistical models using R and JAGS for real-world data analysis.

• Coursera
• 1 day 5 hours 37 minutes
• On-Demand
• Free Online Course (Audit)

Machine Learning using Python

489 ratings at Udemy

Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in Python

• Udemy
• 18 hours 49 minutes
• On-Demand
• Paid Course

DeepLearning.AI;  Stanford

Supervised Machine Learning: Regression and Classification

24299 ratings at Coursera

Develop machine learning skills using Python, covering regression and classification techniques with hands-on practice in NumPy and scikit-learn for real-world AI applications.

• Coursera
• 1 day 9 hours 19 minutes
• On-Demand
• Free Online Course (Audit)

Credit Risk Modeling in Python

6697 ratings at Udemy

A complete data science case study: preprocessing, modeling, model validation and maintenance in Python

• Udemy
• 6 hours 52 minutes
• On-Demand
• Paid Course

Machine Learning: Natural Language Processing in Python (V2)

5765 ratings at Udemy

NLP: Use Markov Models, NLTK, Artificial Intelligence, Deep Learning, Machine Learning, and Data Science in Python

• Udemy
• 22 hours 44 minutes
• On-Demand
• Paid Course

Logistic Regression Practical Case Study

4835 ratings at Udemy

Detect breast cancer using logistic regression. Build a model to predict tumor malignancy based on 9 variables. Learn data preprocessing, model training, and evaluation using Google Colab.

• Udemy
• 1 hour 6 minutes
• On-Demand
• Free Online Course