Feature Engineering

by CampusX · 23 videos

Total watch time

8h 59m

at speed · exactly 8 hours, 58 minutes, 35 seconds at 1×

8h 58m 35s
1.25×7h 10m 52s
1.5×5h 59m 3s
1.75×5h 7m 46s
4h 29m 18s
Average video23m 25s
Longest45m 39s
Shortest12m 10s
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Videos (23)

8h 59m in total · tick what you've watched

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Videos to
Watched
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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