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TORRENT DETAILS
Udemy - Forecasting Sales With Time Series, Lightgbm And Random Forest
TORRENT SUMMARY
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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
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FILE LIST
Filename
Size
~Get Your Files Here !/1 - Introduction/1 - Introduction to the Course.mp4
63 MB
~Get Your Files Here !/1 - Introduction/2 - Forecasting-Sales-with-Time-Series.pptx
1.3 MB
~Get Your Files Here !/1 - Introduction/2 - Table of Contents.mp4
26.4 MB
~Get Your Files Here !/1 - Introduction/3 - Whom This Course is Intended for.mp4
17.9 MB
~Get Your Files Here !/10 - Customer Segmentation Analysis/13 - Customer Segmentation Analysis.mp4
105.8 MB
~Get Your Files Here !/11 - Analyzing Order Fulfilment Efficiency/14 - Analyzing Order Fulfilment Efficiency.mp4
60.6 MB
~Get Your Files Here !/12 - Analyzing Sales Performance Trend/15 - Analyzing Sales Performance Trend.mp4
90.3 MB
~Get Your Files Here !/13 - Forecasting Sales with ARIMA/16 - Forecasting Sales with ARIMA.mp4
140.5 MB
~Get Your Files Here !/14 - Forecasting Sales with SARIMA/17 - Forecasting Sales with SARIMA.mp4
80.9 MB
~Get Your Files Here !/15 - Forecasting Sales with LightGBM/18 - Forecasting Sales with LightGBM.mp4
192.6 MB
~Get Your Files Here !/16 - Forecasting Sales with Random Forest/19 - Forecasting Sales with Random Forest.mp4
58.2 MB
~Get Your Files Here !/17 - Forecasting Sales with LSTM/20 - Forecasting Sales with LSTM.mp4
180.9 MB
~Get Your Files Here !/18 - Calculating Mean Absolute Error Conducting Residual Analysis/21 - Calculating Mean Absolute Error Conducting Residual Analysis.mp4
47.2 MB
~Get Your Files Here !/19 - Conclusion Summary/22 - Conclusion Summary.mp4
25.7 MB
~Get Your Files Here !/2 - Tools IDE and Datasets/4 - Tools IDE and Datasets.mp4
135.4 MB
~Get Your Files Here !/3 - Introduction to Sales Forecasting/5 - Introduction to Sales Forecasting.mp4
19.4 MB
~Get Your Files Here !/4 - How Time Series Forecasting Model Works/6 - How Time Series Forecasting Model Works.mp4
117.5 MB
~Get Your Files Here !/5 - Factors That Can Contribute to Sales Performance/7 - Factors That Can Contribute to Sales Performance.mp4
22.9 MB
~Get Your Files Here !/6 - Setting Up Google Colab IDE/8 - Google Colab IDE.txt
34 B
~Get Your Files Here !/6 - Setting Up Google Colab IDE/8 - Setting Up Google Colab IDE.mp4
30.8 MB
~Get Your Files Here !/7 - Finding Downloading Sales Report Dataset From Kaggle/9 - Finding Downloading Sales Report Dataset From Kaggle.mp4
52.3 MB
~Get Your Files Here !/7 - Finding Downloading Sales Report Dataset From Kaggle/9 - Kaggle.txt
23 B
~Get Your Files Here !/8 - Project Preparation/10 - train.csv
2 MB
~Get Your Files Here !/8 - Project Preparation/10 - Uploading Sales Report Dataset to Google Colab.mp4
8.1 MB
~Get Your Files Here !/8 - Project Preparation/11 - Quick Overview of Sales Report Dataset.mp4
52.9 MB
~Get Your Files Here !/9 - Cleaning Dataset by Removing Missing Values Duplicates/12 - Cleaning Dataset by Removing Missing Values Duplicates.mp4
