| 4.1 SARIMA (Seasonal Autoregressive Integrated Moving-Average).ipynb | 171 KB | |
| 5 ARIMA model for exogeneous variables ARIMAX.ipynb | 190.9 KB | |
| 1.1 Augmented Dickey-Fuller (ADF) test.ipynb | 203.8 KB | |
| 1.2 Understanding Moving Average and Its Implementation.ipynb | 191.2 KB | |
| 1.3 Practice Questions based on moving Average.ipynb | 32.4 KB | |
| 2.1 Auto Regressive Model .ipynb | 211.5 KB | |
| 2.2 Autocorrelation and Partial Correlation.ipynb | 206.7 KB | |
| 2.3 Case Study Stock Price Prediction using AR .ipynb | 134.1 KB | |
| 3 ARIMA (Auto Regressive Integrated Moving Average) .ipynb | 625.9 KB | |
| 3.1 Non-Stationary data to Stationary Data.ipynb | 300.6 KB | |
| 3.2 Case study Profit Forecast.ipynb | 59.2 KB | |
| 4.2 Predict Profit using Linear Regression .ipynb | 109 KB | |
| 6 Forecasting using RNN and Forecast Stock Price using LSTM.ipynb | 890.1 KB | |
| Day 8 Headcount using Forecasting Analysis multivariant .ipynb | 32 KB | |
| Dummp | 1 bytes | |
| SARIMAX.ipynb | 155.3 KB | |
| SASRIMA for Sales Trend.ipynb | 134 KB | |
| attrition_data.csv | 138 bytes | |
| poptrend.csv | 737 bytes | |
| profit_data.csv | 1.8 KB | |
| stockdata.csv | 8 KB | |
| temperature_data.csv | 33.5 KB | |
