Playlist · CampusX

Feature Engineering

by CampusX · 23 videos

Total watch time

8h 59m

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1×	8h 58m 35s
1.25×	7h 10m 52s	−1h 48m
1.5×	5h 59m 3s	−3h
1.75×	5h 7m 46s	−3h 51m
2×	4h 29m 18s	−4h 29m

Average video23m 25s

Longest45m 39s

Shortest12m 10s

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45:39

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Videos (23)

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1	What is Feature Engineering \| Day 23 \| 100 Days of Machine Learning	24:52	2021-04-08
2	Feature Scaling - Standardization \| Day 24 \| 100 Days of Machine Learning	32:38	2021-04-09
3	Feature Scaling - Normalization \| MinMaxScaling \| MaxAbsScaling \| RobustScaling	23:31	2021-04-10
4	Encoding Categorical Data \| Ordinal Encoding \| Label Encoding	19:53	2021-04-12
5	One Hot Encoding \| Handling Categorical Data \| Day 27 \| 100 Days of Machine Learning	30:12	2021-04-13
6	Column Transformer in Machine Learning \| How to use ColumnTransformer in Sklearn	15:41	2021-04-14
7	Machine Learning Pipelines A-Z \| Day 29 \| 100 Days of Machine Learning	45:39	2021-04-15
8	Function Transformer \| Log Transform \| Reciprocal Transform \| Square Root Transform	32:13	2021-04-16
9	Power Transformer \| Box - Cox Transform \| Yeo - Johnson Transform	21:28	2021-04-17
10	Binning and Binarization \| Discretization \| Quantile Binning \| KMeans Binning	38:25	2021-04-19
11	Handling Mixed Variables \| Feature Engineering	12:10	2021-04-20
12	Handling Date and Time Variables \| Day 34 \| 100 Days of Machine Learning	14:18	2021-04-21
13	Handling Missing Data \| Part 1 \| Complete Case Analysis	24:54	2021-04-22
14	Handling missing data \| Numerical Data \| Simple Imputer	31:21	2021-04-23
15	Handling Missing Categorical Data \| Simple Imputer \| Most Frequent Imputation \| Missing Category Imp	13:34	2021-04-24
16	Missing Indicator \| Random Sample Imputation \| Handling Missing Data Part 4	37:05	2021-04-26
17	KNN Imputer \| Multivariate Imputation \| Handling Missing Data Part 5	24:27	2021-04-27
18	Multivariate Imputation by Chained Equations for Missing Value \| MICE Algorithm \| Iterative Imputer	18:31	2021-04-28
19	What are Outliers \| Outliers in Machine Learning	17:07	2021-04-29
20	Outlier Detection and Removal using Z-score Method \| Handling Outliers Part 2	17:46	2021-04-30
21	Outlier Detection and Removal using the IQR Method \| Handing Outliers Part 3	14:05	2021-05-01
22	Outlier Detection using the Percentile Method \| Winsorization Technique	16:23	2021-05-03
23	Feature Construction \| Feature Splitting	12:22	2021-05-04

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