TensorFlow 2 Advanced Linear & Lasso Regression with Python скачать в хорошем качестве

TensorFlow 2 Advanced Linear & Lasso Regression with Python

In this course, you will learn advanced linear regression technique process and with this you can able to build any regression problem. URL-1: https://www.udemy.com/course/tensorfl... URL-2: https://www.udemy.com/course/tensorfl... Starting from TensorFlow 2.x Linear Regression Gradient Descent Algorithm With this intuition we will work on project: Customer Revenue Prediction. Problem Statement: A large child education toy company which sells educational tablets and gaming systems both online and in retail stores wanted to analyse the customer data. The goal of the problem is determine the following objective as shown below. Data Analysis & Preprocessing: Analyze customer data and draw the insights w.r.t revenue and based on the insights we will do data preprocessing.  In this module you will learn the following. Necessary Data Analysis Multi-colinearity Factor Analysis Feature Engineering: Lasso Regression Identify optimal penalty factor Feature Selection Pipeline Model Evaluation We will start with basic of tensorflow 2.x to advanced techniques in it. Then we drive into intuition behind linear regression and optimization function like gradient descent.