Linear Regression Models Training
Linear Regression Models Training
Order this unique E-Learning course Linear Regression Models Training online, 1 year 24/7 access to rich interactive videos and tests.
Read more- Discounts:
-
- Buy 2 for €126,42 each and save 2%
- Buy 3 for €125,13 each and save 3%
- Buy 4 for €123,84 each and save 4%
- Buy 5 for €122,55 each and save 5%
- Buy 10 for €116,10 each and save 10%
- Buy 25 for €109,65 each and save 15%
- Buy 50 for €103,20 each and save 20%
- Availability:
- In stock
- Delivery time:
- Ordered before 5 p.m.! Start today.
- Award Winning E-learning
- Lowest price guarantee
- Personalized service by our expert team
- Pay safely online or by invoice
- Order and start within 24 hours
Linear Regression Models E-Learning
✔️ 1 year 24/7 access to rich interactive videos, voice commands, progress monitoring via reports and tests per chapter.
✔️ Immediate feedback to test and improve your knowledge.
Why choose this course?
Machine Learning is everywhere these days and is an essential part of modern technology, often invisible to most of us. Understanding linear regression, one of the fundamental concepts in Machine Learning, is crucial for developing predictive models. This course provides an in-depth exploration of linear regression models and their real-world applications.
What you will learn:
- Understanding Linear Regression: Learn the basic concepts and techniques for building regression models.
- Working with Neural Networks: Discover how neural networks can be used for advanced regression tasks.
- Tool usage: Build simple regression models with Scikit Learn and Keras.
- Logistic regression: Learn to build classification models using logistic regression.
- TensorFlow Estimators: Develop advanced models with TensorFlow estimators.
With this course you will lay a solid foundation for further growth in the field of Machine Learning.
Who should participate?
This course is suitable for:
- Data analysts looking to expand their skills in Machine Learning and predictive modeling.
- Software developers who want to implement regression models in their applications.
- IT professionals who want to delve into Machine Learning techniques and tools.
- Academics and students researching statistical and machine learning models.
- Anyone who is interested in Machine Learning and wants to build a strong foundation in linear regression.
Course content
Linear Regression Models: Introduction to Linear Regression
Course: 1 Hour, 19 Minutes
- Course Overview
- Statistical Tools and Regression
- Reasons to Use Regression
- Regression Loss: Least Square Error
- Capturing Variance in Regression
- Prediction Using Regression
- Introduction to Deep Learning
- The Architecture of Neural Networks
- Neurons: The Building Blocks of a Neural Network
- Linear Regression Using a Single Neuron
- Training a Neural Network
- Gradient Descent Optimization
- Exercise: Introduction to Linear Regression
Linear Regression Models: Building Simple Regression Models with Scikit Learn and Keras
Course: 42 Minutes
- Course Overview
- Loading a Dataset
- Splitting a Dataset for Training and Validation
- Keras Installation
- Training and Evaluating a Model
- Building a Sequential Model
- Training a Neural Network
- Evaluating a Neural Network
- Exercise: Building Simple Regression Models
Linear Regression Models: Multiple and Parsimonious Linear Regression
Course: 1 Hour, 11 Minutes
- Course Overview
- Understanding Multiple Regression
- Kitchen Sink Regression
- Training and Evaluating the Model
- Preparing Data for a Neural Network
- Building a Neural Network
- Evaluating the Neural Network
- Finding Correlations in a Dataset
- Introducing Parsimonious Regression
- Applying Parsimonious Regression with Scikit Learn
- Applying Parsimonious Regression with Keras
- Exercise: Multiple Linear Regression
Linear Regression Models: An Introduction to Logistic Regression
Course: 58 Minutes
- Course Overview
- Introducing Logistic Regression
- The Logistic Regression Curve
- Logistic Regression and Classification
- Logistic Regression vs. Linear Regression
- Logistic Regression in Keras
- Preparing Data for Logistic Regression
- Classification using a Logistic Regression Model
- Preparing Data for a Neural Network
- Building and Evaluating the Keras Classifier
- Exercise: An Introduction to Logistic Regression
Linear Regression Models: Simplifying Regression and Classification with Estimators
Course: 36 Minutes
- Course Overview
- Introducing Estimators
- Preparing Data for a Linear Regressor Estimator
- Training and Evaluating a Regressor Estimator
- Preparing Data for a Linear Classifier Estimator
- Training and Evaluating a Classifier Estimator
- Exercise: Using Tensor Flow Estimators
Get started with Linear Regression Models!
✔️ Learn at your own pace with interactive videos and exercises that help you understand and apply the concepts.
✔️ Test your knowledge with tests per chapter and get immediate feedback to further improve your skills.
✔️ Build practical models that you can apply in your work or study.
Order your course now and start discovering the world of linear regression models today!
| Language | English |
|---|---|
| Qualifications of the Instructor | Certified |
| Course Format and Length | Teaching videos with subtitles, interactive elements and assignments and tests |
| Lesson duration | 4:46 Hours |
| Progress monitoring | Yes |
| Access to Material | 365 days |
| Technical Requirements | Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge. |
| Support or Assistance | Helpdesk and online knowledge base 24/7 |
| Certification | Certificate of participation in PDF format |
| Price and costs | Course price at no extra cost |
| Cancellation policy and money-back guarantee | We assess this on a case-by-case basis |
| Award Winning E-learning | Yes |
| Tip! | Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform. |
There are no reviews written yet about this product.
OEM Office Elearning Menu Genomineerd voor 'Beste Opleider van Nederland'
OEM Office Elearning Menu is trots genomineerd te zijn voor de titel 'Beste Opleider van Nederland' door Springest, een onderdeel van Archipel. Deze erkenning bevestigt onze kwaliteit en toewijding. Hartelijk dank aan al onze cursisten.
Reviews
There are no reviews written yet about this product.
