Lasso Regression is an extension of linear regression that adds a regularization penalty to the loss function during training. How to evaluate a Lasso Regression model and use a final model to make predictions for new data. How to configure the Lasso Regression model for a new dataset via grid...
Learn linear regression, a statistical model that analyzes the relationship between variables. Follow our step-by-step guide to learn the lm() function in R.
Get an introduction to PyTorch, then learn how to use it for a simple problem like linear regression — and a simple way to containerize your application.
In this step-by-step tutorial, you'll build a neural network from scratch as an introduction to the world of artificial intelligence (AI) in Python. You'll learn how to train your neural network and make accurate predictions based on a given dataset.
In this step-by-step tutorial, you'll learn the fundamentals of descriptive statistics and how to calculate them in Python. You'll find out how to describe, summarize, and represent your data visually using NumPy, SciPy, pandas, Matplotlib, and the built
Click to use various algorithms from linear regression to Bayesian ridge to make predictions using Scikit-Learn in Python.
Lots of machine learning algorithms make use of linearity. In Azure Machine Learning designer, they include: Multiclass logistic regression Two-class logistic regression Support vector machines Linear regression algorithms assume that data trends follow a straight line. This assumption isn't bad for som...
After a model is defined with either the Sequential or Functional API, various functions need to be created in preparation for training and fitting a model, before we can use it to make a prediction: In this example, a Keras Sequential model is implemented to fit and predict regression data...
Python-first philosophy: Deep integration with Python made it more accessible to developers. Research community adoption: Scientists in academia came up with cool prototypes in research using PyTorch. Some of those prototypes became wildly successful, which in turn, attracted more people outside the ...
This is the code for "How to Make a Prediction - Intro to Deep Learning #1' by Siraj Raval on YouTube - llSourcell/linear_regression_demo