Course description
What will i learn?
Requirements
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1.1 What is Time Series Trend Seasonality Cyclical and Random
00:07:43
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1.2 Stationarity of Time Series
00:05:31
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1.3 Autoregressive Model AR
00:01:45
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1.4 Moving Average Model MA
00:04:03
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1.5 Arima Model
00:01:35
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1.6 Autocorrelation and ACF Plot
00:02:39
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1.7 TSA Implementation in Python
00:10:23
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Quiz
0:00:00
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2.1 Feature Selection Introduction Types of Feature Selection Methods
00:05:16
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2.2 Wrapper Method Forward Selection
00:06:34
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2.3 Wrapper Method Backward Elimination
00:10:40
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2.4 Wrapper Method Exhaustive Selection
00:11:32
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2.5 Filter Method & Types
00:00:49
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2.6 Filter Method Variance Threshold
00:11:50
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2.7 Filter Method Correlation Coefficient
00:09:06
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2.8 Filter Method CHI Square
00:08:04
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2.9 Embedded Method Regularization Part-01
00:06:24
- 2.10 Embedded Method Regularization Part-02
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2.11 Embedded Method Feature Importance Tree Based Method
00:08:56
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7.1 MS Excel Core Functions Part-01
00:21:45
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7.2 MS Excel Core Functions Part-02
00:04:10
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7.3 MS Excel Core Functions Part-03
00:07:18
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7.5 Advanced Functions Hlookup
00:06:30
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7.6 Advanced Functions Vlookup
00:07:24
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7.7 Advanced Functions Numeric Functions
00:05:32
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7.8 Linear Regression with Excel Part-01
00:10:18
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7.9 Linear Regression with Excel Part-02
00:10:51
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7.10 Goal Seek Analysis
00:05:17
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7.11 Data Table
00:05:49
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7.12 Solving Data Equation with Excel
00:11:12
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7.13 Monte Carlo Simulation with MS Excel
00:10:00
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7.4 Pivot Table
00:03:58
Ashok Veda
₹37900
₹60000
Lectures
53
Quizzes
4
Skill level
Beginner
Expiry period
Lifetime
