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Data Transformation for Machine Learning
Data Engineering and Machine Learning Masterclass - Overview
00 Course Overview (3:26)
Source Files - Course Overview
Data Engineering and Machine Learning Masterclass - More About Machine Learning
03 Performance Of A Machine Learning Algorithm (4:14)
04 Handle Noise In Data (5:22)
05 Powerful Tools With Machine Learning Libraries- (12:11)
Data Engineering and Machine Learning Masterclass - 03 Load, clean and encode data
01 Load And Clean A Public Dataset (8:55)
01B What Is One-Hot Encoding (10:02)
02 Build X And Y Data With One Hot Encoding (4:57)
03 Logistic Regression With One Hot Encoding (2:20)
Data Engineering and Machine Learning Masterclass - 04 Data engineering for machine learning
04 Scale And Encode Data With Scikit-Learn (3:47)
04.04 What Is Scaling Data (6:36)
05 Build, Train And Test A Machine Learning Model (4:37)
Data Engineering and Machine Learning Masterclass - 05 Build regression and discretizer models
01 Compare Decision Tree And Linear Regression Models (6:26)
01C What Is The Kbins Discretizer (4:54)
02 Bin Data With Kbins Discretizer (3:42)
03 Compare Binned Regression Models (3:39)
04 Build A Linear Regression Model On Stacked Data (3:20)
05A What Is K Means Clustering (11:58)
Data Engineering and Machine Learning Masterclass - 06 Data transformation and feature selection for ridge regression
01 Build Univariate Nonlinear Transformatio (1:55)
01 What Is Gaussian Probability Distribution- (2:31)
01B What Is Poisson Distribution (1:08)
02 Build X and Y Data With Poisson Distribution In Numpy (3:34)
02C What Is Logarithmic Data Transformation (2:34)
03 Build A Ridge Regression Model (3:41)
Quiz - Test your knowledge
Quiz - Test your knowledge
04.04 What Is Scaling Data
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