Linear Models Courses and Certifications

NC EOC Assessment - Math I: Test Prep & Practice

Comprehensive preparation for NC EOC Math I exam, covering real numbers, equations, functions, geometry, and data analysis through lessons, quizzes, and flashcards.

• Study.com
• 14 hours
• On-Demand
• Paid Course

Machine Learning Course

Comprehensive exploration of machine learning fundamentals, covering linear models, neural networks, SVMs, and key principles for effective algorithm implementation and evaluation.

• YouTube
• 1 day
• On-Demand
• Free Video

Linear Regression and Linear Models

Learn powerful statistical tools: linear regression and models. Predict continuous values using various data types. Covers least squares, multiple regression, t-tests, ANOVA, and R implementation.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

IIT Roorkee;  NPTEL

Mathematical Modelling: Analysis and Applications

1 review

Explore mathematical modeling in biological sciences, covering deterministic models, population dynamics, and analytical techniques. Gain skills in discrete and continuous time domains, with focus on graphical solutions and stability analysis.

• Swayam
• 4 weeks
• On-Demand
• Free Online Course

Code Clinic: R

Practice coding with R. Explore common R programming challenges, and then compare the results with other programming languages in the Code Clinic series.

• LinkedIn Learning
• 1-2 hours
• On-Demand
• Free Trial Available

QUANTITATIVE REASONING

Explore connections between math and everyday life through problem-solving, modeling, and quantitative investigation strategies. Apply skills to real-life contexts and express findings.

• California Community Colleges System
• 11 weeks, 5 hours a week
• 23rd Sep, 2024
• Paid Course

Cardiff University Microcredential

Applications of Machine Learning

Discover how machine learning is increasing throughout all industries and learn the in-demand skills to excel in your career.

• FutureLearn
• 12 weeks, 3 hours a week
• On-Demand
• Paid Course

IIT Kanpur;  NPTEL

Descriptive Statistics with R Software

The tools of descriptive statistics are based on mathematical and statistical functions which are to be evaluated using the software. The statistical software are paid as well as free.

• Swayam
• 8 weeks
• On-Demand
• Free Online Course

Analyzing Big Data in R using Apache Spark

Learn to analyze big data using Apache Spark and R. Master data manipulation, SQL queries, and machine learning techniques with SparkR's distributed data frame API for efficient large-scale data processing.

• Cognitive Class
• 3 hours
• On-Demand
• Free Online Course

IIT Kharagpur;  NPTEL

Applied Econometrics

Comprehensive econometrics course covering sampling, statistics, linear models, and advanced techniques. Includes experimental economics and practical applications in banking, policy, and consulting.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

PyTorch Zero to All

Learn essential machine learning and deep learning concepts using PyTorch, covering linear models, neural networks, CNNs, and RNNs in a comprehensive series of lectures.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video

PyTorch for Python 3.5

Learn PyTorch fundamentals, from linear models to advanced CNNs. Master gradient descent, back-propagation, regression, and neural network architectures for efficient deep learning implementation.

• YouTube
• 2 hours 30 minutes
• On-Demand
• Free Video

Computer Vision Fundamentals with Google Cloud

This course describes different types of computer vision use cases and then highlights different machine learning strategies for solving these use cases.

• Pluralsight
• 3 hours 8 minutes
• On-Demand
• Free Trial Available

BioinformaticsDotCA

CBW's Introduction to R Workshop - June 21-22, 2021

Learn R programming essentials: scripting, statistical tests, loops, functions, linear models, and R Markdown in this comprehensive workshop for beginners.

• YouTube
• 10 hours
• On-Demand
• Free Video

Jonathan Walters

Differential Equations

Explore differential equations through various techniques, including separation of variables, integrating factors, exact equations, series solutions, Laplace transforms, and systems of linear equations.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video