Example Curriculum
Introduction
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Exploratory Data Analysis
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- Game Plan (1:04)
- TIme Series Data (2:34)
- Case Study Briefing (1:43)
- Python - Directory and Libraries (4:42)
- Python - Loading the Data (2:51)
- Python - Renaming Variable (1:29)
- Python - Summary Statistics (2:33)
- Additive vs. Multiplicative Seasonality (2:40)
- Python - Seasonal Decomposition (8:18)
- Python - Seasonal Graphs (5:07)
- Python - Visualization - Basic Plot (5:31)
- Python - Visualization - Customization (5:58)
- Python - Visualization -Adding Events (6:10)
- Python - Correlation (2:18)
- Auto-Correlation Plots (2:01)
- Python - Auto-Correlation Plot (3:20)
- Python - Useful Commands Template (2:30)
- Let's Have Some Fun (+ Free Resources)
(Facebook) Prophet
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- Game Plan for Prophet (1:28)
- Prophet and Structural Time Series (5:51)
- Python - Preparing the Script (3:24)
- Python - Prepare Date Variable (2:29)
- Python - Easter Holiday (4:29)
- Python - Remaining Holidays (2:36)
- Python - Wrapping up the Events (3:01)
- Prophet Parameters (2:30)
- Python - Prophet Model (5:39)
- Cross-Validation (3:16)
- Python - Cross-Validation (6:59)
- Assessing Forecasting (6:35)
- Python - Cross-Validation Performance and Plotting (9:30)
- Parameter Tuning (2:58)
- Python - Parameter Grid (4:37)
- Python - Parameter Tuning (7:29)
- Python - Best Parameters and Exporting (6:16)
- Python - Updating Useful Commands (Part 1) (1:32)
- Python - Preparing Data Sets (8:10)
- Python - Parameters and Final Model (9:25)
- Python - Forecasting (10:42)
- Python - Exporting Forecasts (4:41)
- Python - Updating Useful Commands (Part 2) (1:34)
- Pros and Cons (3:57)
- Unlimited Updates
SARIMAX
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- SARIMAX Game Plan (1:52)
- ARIMA (3:05)
- Python - Preparing Script (3:29)
- Auto-Regressive (1:54)
- Integrated (4:33)
- Python - Stationarity and Differencing (5:44)
- Moving Average Component (2:34)
- Optimization Factors (3:15)
- Python - SARIMAX Model (5:11)
- Python - Cross-Validation (8:18)
- Python - Parameter Grid (3:32)
- Python - Parameter Tuning (4:14)
- Python - Exporting Best Parameters (4:26)
- Python - Preparing the Script (3:27)
- Python - Preparing Data (2:56)
- Python - Tuned SARIMAX Model (4:02)
- Python - Forecasting (4:28)
- Python - Visualization and Export (3:54)
- SARIMAX Pros and Cons (1:48)
- Course Check-In
How LinkedIn Silverkite Works
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- LinkedIn Silverkite Game Plan (1:35)
- LinkedIn Silverkite (3:08)
- Silverkite vs. Prophet (3:11)
- Python - Libraries and Data (10:05)
- Python - Preparing Data (3:36)
- Python - Metadata (2:47)
- Silverkite Components (4:20)
- Growth Terms (1:56)
- Python - Growth Terms (2:04)
- Seasonality Terms (3:20)
- Python - Seasonality (2:06)
- Python - Available Countries and Holidays (3:31)
- Python - Holidays (6:21)
- Python - Changepoints (1:22)
- Python - Regressors (1:15)
- Lagged Regressors (1:54)
- Python - Lagged Regressors (1:37)
- Python - Autoregression (2:19)
- Fitting Algorithms Possibilities (2:38)
- Ridge Regression (7:52)
- XGBoost (3:44)
- Boosting (7:03)
- Feature Sampling (2:56)
- Python - Custom Fit Algorithm (2:12)
- Python - Silverkite Model (2:48)
- Python - Cross-Validation Configuration (8:27)
- Python - SIlverkite Parameter Tuning (6:01)
- Python - Visualization and Preparing Results (8:01)
- Python - Exporting Best Parameters (6:06)
- Python - Preparing Script (3:17)
- Python - Tuned Silverkite Model (6:03)
- Python - Summary and Visualization (11:16)
- Python - Forecasting and Exporting (3:49)
- Pros and Cons (2:09)
- Implement a New Life System
Recurrent Neural Networks (RNN) Long Short-Term Memory (LSTM)
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- Game Plan for LSTM (2:05)
- Simple Neural Network (4:55)
- Recurrent Neural Networks (RNN) (3:01)
- Long Short-Term Memory (LSTM) (4:11)
- Python - Directory and Libraries (2:47)
- Python - Time Series Objects (2:56)
- Python - Time Variables (6:45)
- Python - Scaling (5:45)
- LSTM Parameters (2:55)
- Activation Functions (6:03)
- Python - LSTM Model (6:54)
- Python - Cross-Validation (5:03)
- Python - Cross-Validation Performance (7:33)
- Python - Parameter Grid (4:43)
- Python - Parameter Tuning (Round 1) (5:18)
- Python - Parameter Tuning (Round 2) (9:37)
- Python - Changing from CPU to GPU (3:59)
- Python - Parameter Tuning (Final Results) (2:26)
- Python - Preparing Script (4:57)
- Python - Tuned LSTM Model (8:52)
- Python - Predictions and Exporting (3:50)
- Pros and Cons (2:10)
Ensemble
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Where To Go From Here?
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