very well explained ...Thank you :)
Thanks for your explaination, i tend to forget it before but now i think im remember it now
#Forecasting
Forecasting is the process of making predictions of the future based on past and present data and most commonly by analysis of trends. A commonplace example might be estimation of some variable of interest at some specified future date. Prediction is a similar, but more general term. 👍 forecasting? #projection??? stocks etc
excuse me mr. rai, could u please send me the paper that support the barrier for MAD tracking control chart, it says -+8 for low volume item and -+4 for high volume item, thank you
Volume is very low
Bharat Sir...it will be great if you can take a case study on Time series (Exponential smoothing) or ARIMA Methodology in R studio.
Can you share whole playlist where you coding in rs studio from scratch on multiple regression or different algorithm of r studio
Here is the link:
th-cam.com/play/PL34t5iLfZddspfUiv-9EaOVNUG64_fwFq.html
For more detailed coverage see:
th-cam.com/play/PL34t5iLfZddsiQ9PK2s3cd7LVd2FjOmIp.html
@@bkrai sir already completed , do you have any other videos on any other platforms on r studio projects
Given below are some playlists that I've created,
Animated Visualizations: th-cam.com/users/playlist?list...
Becoming Data Scientist: goo.gl/JWyyQc
Business Statistics: th-cam.com/users/playlist?list...
Cluster Analysis: th-cam.com/users/playlist?list...
COVID19 Data Analysis and Visualization: th-cam.com/users/playlist?list...
Data Preparation: th-cam.com/users/playlist?list...
Data Science with Python: th-cam.com/users/playlist?list...
Data Visualization: goo.gl/Q7Q2A8
Decision Trees: th-cam.com/users/playlist?list...
Deep Learning with TensorFlow: goo.gl/5VtSuC
GARCH Models: th-cam.com/users/playlist?list...
Generative Adversarial Network (GAN): th-cam.com/users/playlist?list...
Geographic Plots: th-cam.com/users/playlist?list...
Introductory R Videos: goo.gl/NZ55SJ
Intro to Business Analytics: th-cam.com/users/playlist?list...
Image Analysis & Classification: goo.gl/Md3fMi
Machine Learning videos: goo.gl/WHHqWP
Multinomial Logistic Regression: th-cam.com/users/playlist?list...
Multiple Linear Regression: th-cam.com/users/playlist?list...
Operations Management: th-cam.com/users/playlist?list...
Playlist: goo.gl/iwbhnE
Regression based Methods: th-cam.com/users/playlist?list...
Social Media Analytics: th-cam.com/users/playlist?list...
Supply Chain Management: th-cam.com/users/playlist?list...
Technology Tips: th-cam.com/users/playlist?list...
Text mining: goo.gl/7FJGmd
Time Series Analysis: th-cam.com/users/playlist?list...
Time Series Forecasting with Regressors: th-cam.com/users/playlist?list...
Top 10 Machine Learning Methods: th-cam.com/users/playlist?list...
Visualization with GGPLOT2: th-cam.com/users/playlist?list...
Watson Analytics: th-cam.com/users/playlist?list...
Little confusing when you try to do it by yourself as need to be case study
why are demand rather than sales values used in forecasting please?
Demand forecasting is important for planning production quantities, hiring and purchasing related decisions.
Small dought sir
In weight column the value for week 4 is 7.33 or 9.33
Very detailed and easy to follow. Thank you for methodical and easy to understand synopsis of the standard forecasting techniques!
+Kenneth Millender thanks for the feedback 👍