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Logistic Regression courses 75

Learn Logistic Regression online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.

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Showing 75 courses

DeepLearning.AI

Neural Networks and Deep Learning

4.9123,818 ratings

In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. By the end, you will be familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural ne…

  • Coursera
  • At the rate of 5 hours a week, it takes roughly 5 weeks to finish each course i…
  • Self-paced
  • Paid certificate

DeepLearning.AI

Supervised Machine Learning: Regression and Classification

4.932,923 ratings

In the first course of the Machine Learning Specialization, you will: • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regr…

  • Coursera
  • At the rate of 5 hours a week, it typically takes 3 weeks to complete this cour…
  • Self-paced
  • Paid certificate

Stanford University

Statistical Learning with Python

This is an introductory-level course in supervised learning, with a focus on regression and classification methods. The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization m…

Video playlist
  • YouTube
  • 108 videos, 20 hours
  • Self-paced
  • Free video

Stanford University

Statistical Learning with R

This is an introductory-level course in supervised learning, with a focus on regression and classification methods. The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization m…

Video playlist
  • YouTube
  • 104 videos, 20 hours
  • Self-paced
  • Free video

Stanford University

Statistical Learning with R

4.456 ratings

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in R. Course material updated in 2021 for second edition of the course textbook.

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

Massachusetts Institute of Technology

MIT 15.071 The Analytics Edge, Spring 2017

View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Dimitris Bertsimas Students of this course learn how to use data and analytics by examining real world examples and utilizing methods including linear and logistic regression, trees, text analytics, clustering, visualization, and o…

Video playlist
  • YouTube
  • 193 videos, 16 hours
  • Self-paced
  • Free video

Stanford University

Statistical Learning with Python

4.625 ratings

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in Python.

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

StatQuest

Logistic Regression

These videos pick up where Linear Regression and Linear Models leave off. Now, instead of predicting something continuous, like age, we can predict something discrete, like whether or not someone will enjoy the movie Troll 2.

Video playlist
  • YouTube
  • 9 videos, 2 hours
  • Self-paced
  • Free video

Columbia University

Machine Learning

Master the essentials of machine learning and algorithms to help improve learning from data without human intervention.

  • edX
  • Fixed dates
  • Free to audit
  • Paid certificate
  • Advanced

Great Learning

Supervised Machine Learning with Logistic Regression and Naïve Bayes

4.4999 ratings

In this course, we will cover the fundamentals of supervised machine learning and dive deeper into two popular algorithms: logistic regression and Naïve Bayes. We will start with an overview of supervised learning and explore the key concepts and terminology used in this area of machine learning. F…

  • Great Learning Academy
  • 2 hours
  • Self-paced
  • Free course
  • Free certificate
  • Beginner

Google

Regression Analysis: Simplify Complex Data Relationships

4.7608 ratings

This is the fourth course in the Google Advanced Data Analytics Certificate. Data professionals use regression analysis to discover the relationships between different variables in a dataset and identify key factors that affect business performance. In this course, you’ll practice modeling variable…

  • Coursera
  • 28 hours
  • Self-paced
  • Paid certificate

IBM

Deep Learning with TensorFlow and Keras

4.418 ratings

Become proficient with tensor operations in PyTorch. Learn how to build and train linear regression models from scratch, apply logistic regression for classification tasks, and handle data efficiently while optimizing models using gradient descent techniques.

  • edX
  • 5 weeks, 2 - 4 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

Great Learning

Application of Classification Algorithms

4.8126 ratings

When a model must place new observations into the right category, a classification algorithms course gives that decision a clear structure. This free course walks through logistic regression, Naive Bayes, decision trees, random forests, KNN, SVM, preprocessing, and comparison parameters so beginner…

  • Great Learning Academy
  • 1.5 hours
  • Self-paced
  • Free course
  • Free certificate
  • Beginner

Duke University

Introduction to Machine Learning

4.73,840 ratings

This course provides a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) and demonstrates how they can solve complex problems in various industries, from medical diagnostics to image…

  • Coursera
  • 4 weeks of study, 2-5 hours/week
  • Self-paced
  • Paid certificate

University of Washington

Machine Learning: Classification

4.73,739 ratings

Case Studies: Analyzing Sentiment & Loan Default Prediction In our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information,...). In our second case study for this course, loan def…

  • Coursera
  • 7 weeks of study, 5-8 hours/week
  • Self-paced
  • Paid certificate

DeepLearning.AI

Natural Language Processing with Classification and Vector Spaces

4.64,647 ratings

In Course 1 of the Natural Language Processing Specialization, you will: a) Perform sentiment analysis of tweets using logistic regression and then naïve Bayes, b) Use vector space models to discover relationships between words and use PCA to reduce the dimensionality of the vector space and visual…

  • Coursera
  • At the rate of 5 hours a week, it typically takes 4 weeks to complete one Cours…
  • Self-paced
  • Paid certificate

Indian Institute of Management Bangalore

Foundations of Data Science

Learn the fundamental concepts in probability, statistics, optimization and linear algebra which form the foundations for data science.

  • edX
  • Fixed dates
  • Free to audit
  • Paid certificate
  • Intermediate

IBM

Machine Learning with Python

4.718,465 ratings

Python is a core skill in machine learning, and this course equips you with the tools to apply it effectively. You’ll learn key ML concepts, build models with scikit-learn, and gain hands-on experience using Jupyter Notebooks. Start with regression techniques like linear, multiple linear, polynomia…

  • Coursera
  • 5-6 weeks of study, 3-6 hours per week
  • Self-paced
  • Paid certificate

Great Learning

Logistic Regression

4.4532 ratings

Many have these questions: What is Logistic Regression? How does Logistic Regression works? Logistic Regression is a vital part of the applications that we have in Machine Learning today. It forms to be a part of the supervised learning algorithms that use labeled datasets to help with regression a…

  • Great Learning Academy
  • 1 hour
  • Self-paced
  • Free course
  • Free certificate
  • Beginner

Johns Hopkins University

Quantifying Relationships with Regression Models

4.624 ratings

This course will introduce you to the linear regression model, which is a powerful tool that researchers can use to measure the relationship between multiple variables. We’ll begin by exploring the components of a bivariate regression model, which estimates the relationship between an independent a…

  • Coursera
  • 4 weeks of study, 2-4 hours per week
  • Self-paced
  • Paid certificate

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