Machine Learning Beginning to Data Preprocessing | Ordinal

Machine Learning Beginning to Preprocessing

Theoretical Foundation to Machine Learning

Standard Procedure for Model Building

Methods to Collect Data

Introduction to Data Preprocessing

Dealing with Missing Values in Machine Learning

Ways to Handle Outliers in Machine Learning

Basic Project on EDA to understand the utilization

Deep Dive into Exploratory Data Analysis (EDA)

Deep Dive into Principal Component Analysis (PCA)

Deep Dive into Linear Discriminant Analysis (LDA)

Comparison Between LDA and PCA with Classification Example