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Data Engineering Excellence - Unlock the Secrets of Machine Learning
Course Overview
01 Course Overview (3:26)
Source Files - Course Overview
Source Files
Complete Source Files - Data Engineering
Load, clean and encode data
01 Load And Clean A Public Dataset (8:55)
02 What Is One-Hot Encoding (10:02)
03 Build X And Y Data With One Hot Encoding (4:57)
04 Logistic Regression With One Hot Encoding (2:20)
Data engineering for machine learning
01 Scale And Encode Data With Scikit-Learn (3:47)
02 What Is Scaling Data (6:36)
03 Build, Train And Test A Machine Learning Model (4:37)
Build regression and discretizer models
01 Compare Decision Tree And Linear Regression Models (6:26)
02 What Is The Kbins Discretizer (4:54)
03 Bin Data With Kbins Discretizer (3:42)
04 Compare Binned Regression Models (3:39)
05 Build A Linear Regression Model On Stacked Data (3:20)
06 What Is K Means Clustering (11:58)
Data transformation and feature selection for ridge regression
01 Build Univariate Nonlinear Transformatio (1:55)
02 What Is Gaussian Probability Distribution- (2:31)
03 What Is Poisson Distribution (1:08)
04 Build X Y Data With Poisson Distribution In Numpy (3:34)
05 What Is Logarithmic Data Transformation (2:34)
06 Build A Ridge Regression Model (3:41)
01 Scale And Encode Data With Scikit-Learn
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