| 1 - Introduction to the Course.mp4 | 63 MB | ||
| 10 - Uploading Sales Report Dataset to Google Colab.mp4 | 8.1 MB | ||
| 10 - train.csv | 2 MB | ||
| 11 - Quick Overview of Sales Report Dataset.mp4 | 52.9 MB | ||
| 12 - Cleaning Dataset by Removing Missing Values Duplicates.mp4 | 20.2 MB | ||
| 13 - Customer Segmentation Analysis.mp4 | 105.8 MB | ||
| 14 - Analyzing Order Fulfilment Efficiency.mp4 | 60.6 MB | ||
| 15 - Analyzing Sales Performance Trend.mp4 | 90.3 MB | ||
| 16 - Forecasting Sales with ARIMA.mp4 | 140.5 MB | ||
| 17 - Forecasting Sales with SARIMA.mp4 | 80.9 MB | ||
| 18 - Forecasting Sales with LightGBM.mp4 | 192.6 MB | ||
| 19 - Forecasting Sales with Random Forest.mp4 | 58.2 MB | ||
| 2 - Forecasting-Sales-with-Time-Series.pptx | 1.3 MB | ||
| 2 - Table of Contents.mp4 | 26.4 MB | ||
| 20 - Forecasting Sales with LSTM.mp4 | 180.9 MB | ||
| 21 - Calculating Mean Absolute Error Conducting Residual Analysis.mp4 | 47.2 MB | ||
| 22 - Conclusion Summary.mp4 | 25.7 MB | ||
| 3 - Whom This Course is Intended for.mp4 | 17.9 MB | ||
| 4 - Tools IDE and Datasets.mp4 | 135.4 MB | ||
| 5 - Introduction to Sales Forecasting.mp4 | 19.4 MB | ||
| 6 - How Time Series Forecasting Model Works.mp4 | 117.5 MB | ||
| 7 - Factors That Can Contribute to Sales Performance.mp4 | 22.9 MB | ||
| 8 - Google Colab IDE.txt | 0 B | ||
| 8 - Setting Up Google Colab IDE.mp4 | 30.8 MB | ||
| 9 - Finding Downloading Sales Report Dataset From Kaggle.mp4 | 52.3 MB | ||
| 9 - Kaggle.txt | 0 B | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 28 total files | |||
Forecasting Sales With Time Series, Lightgbm & Random Forest
https://DevCourseWeb.com
Published 2/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.52 GB | Duration: 3h 1m
Learn how to build sales forecasting models using Time Series, ARIMA, SARIMA, LightGBM, Random Forest, and LSTM
What you'll learn
Learn how to build sales forecasting model using ARIMA, SARIMA, LightGBM, Random Forest, and LSTM
Learn how to conduct customer segmentation analysis
Learn how to analyze sales performance trend
Learn how to evaluate forecasting model’s accuracy and performance by calculating mean absolute error and conduct residual analysis
Learn how time series forecasting model work. This section will cover data collection, preprocessing, train test split, model selection, and model training
Learn about factors that can contribute to sales performance, such as seasonal trends, market saturation and supply chain efficiency
Learn how to find and download datasets from Kaggle
Learn how to clean dataset by removing missing rows and duplicate values
Learn how to analyze order fulfilment efficiency
Learn the basic fundamentals of sales forecasting
Requirements
No previous experience in sales forecasting is required
Basic knowledge in Python and statistics
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
|
Udemy - Ai In Supply Chain - Demand Forecasting, Inventory, Logistics Posted by
freecoursewb in Other
|
2.1 GB | freecoursewb | 1 month | 0 | 0 |
| 2.6 GB | freecoursewb | 1 month | 0 | 0 | |
| 3 GB | freecoursewb | 5 months | 4 | 4 | |
| 450.3 MB | freecoursewb | 7 months | 1 | 0 | |
| 2 GB | freecoursewb | 1 year | 17 | 4 |
All Comments