Mining Quality Prediction Using Machine & Deep Learning

About this guided project

In this 1.5-hour long project-based course, you will be able to: - Understand the theory and intuition behind Simple and Multiple Linear Regression. - Import Key python libraries, datasets and perform data visualization - Perform exploratory data analysis and standardize the training and testing data. - Train and Evaluate different regression models using Sci-kit Learn library. - Build and train an Artificial Neural Network to perform regression. - Understand the difference between various regression models KPIs such as MSE, RMSE, MAE, R2, and adjusted R2. - Assess the performance of regression models and visualize the performance of the best model using various KPIs.

What skills will you gain?

Predictive Modeling

Artificial Intelligence and Machine Learning (AI/ML)

Applied Machine Learning

Machine Learning

Predictive Analytics

Data Science

Statistical Modeling

Scikit Learn (Machine Learning Library)

Machine Learning Software