Machine Learning Practicals Ex 3: Datasets - Training Data, Test data, Data Normalization - [Tamil]

#Python #AIML #Practicals

Exercise 3: Datasets - Training Data, Test data, Data Normalization

for MSU (Manonmaniam Sundaranar University)/2020-2021/UG Colleges/Part-III (B.Sc. Computer Science)/Semester - V/Major Practical -IV

Timestamps
00:00 - Intro
00:12 - Why should we use Training and Testing Data?
00:44 - Importing and describing the data
03:47 - What are predictor and target variables?
04:27 - Separating numerical columns from a pandas DataFrame
07:09 - Initializing predictor and target variables
07:50 - Why do we use Normalization?
09:39 - What is scikit?
10:18 - Splitting the data into train and test sets using scikit
11:43 - Normalizing the data using scikit scaler
13:03 - Formatting the Normalized data into a DataFrame
13:56 - Exploring the Normalized data
14:33 - Why normalize after train test split?
15:19 - Recap!
16:56 - Outro