Demand forecasting is known as the process of making future estimations in relation to customer demand over a specific period. Generally, demand forecasting will consider historical data and other analytical information to produce the most accurate predictions. More specifically, the methods of demand forecasting entails using predictive analytics of historical data to understand and predict customer demand in order to understand key economic conditions and assist in making crucial supply decisions to optimise business profitability. Demand forecasting methods are divided into two major categories, qualitative and quantitative methods. Qualitative methods are based on expert opinion and information gathered from the field. It is mostly used in situations when there is minimal data available to analyse. For example, when a business or product is newly being introduced to the market. Quantitative methods however, use data, and analytical tools in order to create predictions. Demand forecasting may be used in production planning, inventory management, and at times in assessing future capacity requirements, or in making decisions on whether to enter a new market. (Wikipedia).
Time Series Forecasting on Stock Prices
Watch this talk to learn how to set up a process for stock price forecasting using Python and Machine Learning. PUBLICATION PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed). Link: https://www.youtube.com/watch?v=72g4V6Ucnlc
From playlist Python
Lecture7. Time series forecasting
Data Science for Business. Lecture 7 slides: https://drive.google.com/file/d/17Fn0uhOVs4I8T1ut2BWM4OY1a8M9nzMk/view?usp=sharing
From playlist Data Science for Business, 2022
Stock Market Predictions : Python for Finance 10
In previous videos we made a wonderful investment portfolio and now we will use regression analysis to make stock market predictions about the future performance of our portfolio. I’ll be using the ARIMA model for making stock market predictions in this video. It focuses on trying to fit
From playlist Python for Finance
Excel Forecast Function Explained!
This excel video tutorial provides a basic introduction into the forecast function which can be used to predict a y value given an x value. It could be used to predict the population at a certain year, the value of a car at a given time, or the estimated sales forecast in the future. My
From playlist Excel Tutorial
The Stock Market - Can we predict it?
Yes but no. Let's use a regression approach to try to predict the markets. We also go through a better evaluation function that can see through the apparent "amazing performance" of our model CODE: https://github.com/ajhalthor/stock-price-prediction Daily Google Trend Code used in video:
From playlist Time Series Forecasting
Time Series Forecasting in Minutes
In this Data Science in Minutes, we will describe what time series forecasting is, and provide several examples of when you can use time series for your data. Time series forecasting is looking at data over time to forecast or predict what will happen in the next time period, based on patt
From playlist Data Science in Minutes
Probabilistic Forecasting in TimeSeries
More info + to join: https://community.ai.science/time-series-forecasting
From playlist Mega Meetup VIII
Forecast Sales Performance in Excel
If you like this video, drop a comment, give it a thumbs up and consider subscribing here: https://www.youtube.com/c/HowToBeAnAdult?sub_confirmation=1 Music from: YouTube Audio Library Check out our new project: https://magnimetrics.com Automated Financial Analysis. Reinvented. Follow m
From playlist Excel Tutorials
Predictive Modelling Techniques | Data Science With R Tutorial
🔥 Advanced Certificate Program In Data Science: https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=PredictiveModeling-0gf5iLTbiQM&utm_medium=Descriptionff&utm_source=youtube 🔥 Data Science Bootcamp (US Only): https://www.simplilearn.com/data-science-bo
From playlist R Programming For Beginners [2022 Updated]
Hamsa Bastani - Decision-Aware Learning for Global Health Supply Chains - IPAM at UCLA
Recorded 01 March 2023. Hamsa Bastani of the University of Pennsylvania presents "Decision-Aware Learning for Global Health Supply Chains" at IPAM's Artificial Intelligence and Discrete Optimization Workshop. Abstract: The combination of machine learning (for prediction) and optimization (
From playlist 2023 Artificial Intelligence and Discrete Optimization
Unit 2: The Forecast is ‘Always’ wrong, Video 2: Demand Forecasts
MIT IDS.333 Risk and Decision Analysis, Fall 2021 Instructor: Richard de Neufville View the complete course: https://ocw.mit.edu/courses/ids-333-risk-and-decision-analysis-fall-2021/ YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62jwhTqp8_1kwrkDkxZhpQC This second par
From playlist MIT IDS.333 Risk and Decision Analysis, Fall 2021
Making Money from AI by Predicting Sales - Jay's Intro to AI Part 2
Learn about the four basic steps to make predictions, about making predictions using more than one piece of data (feature), and about how businesses around the world can make money from AI by predicting sales (time series forecasting). This and more in the second video in this visual intro
From playlist Intro to AI
Turning an Idea into a Data Driven Production System An Energy Load Forecasting Case Study - MATLAB
Free MATLAB Trial: https://goo.gl/yXuXnS Request a Quote: https://goo.gl/wNKDSg Contact Us: https://goo.gl/RjJAkE We solve a wide range of problems in our daily lives that do not require excessive thinking, instead relying on data from past experiences. Somewhere in our brain we use data-
From playlist MATLAB and Simulink Conference Talks
17. (Yesterday's &) Today's Electric Power System
MIT 15.031J Energy Decisions, Markets, and Policies, Spring 2012 View the complete course: http://ocw.mit.edu/15-031JS12 Instructor: Richard Schmalensee License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 15.031J Energy Decisions, Markets, Policies, Spring 2012
R SAS and Excel Tutorial | Data Scientist Training Video
🔥 Data Analyst Master's Program (Discount Code: YTBE15): https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=RSASExcelTutorial-ZbkiAIeCXQg&utm_medium=DescriptionFF&utm_source=youtube 🔥 Professional Certificate Program In Data Analytics: https://www.s
Gilles Stoltz: Robust sequential learning with applications to the forecasting [...]
Abstract: Sometimes, you feel you're spoilt for choice: there are so many good predictors that you could use! Why select and focus on just one? I will review the framework of robust online aggregation (also known as prediction of individual sequences or online aggregation of expert advice)
From playlist Probability and Statistics
Basic Excel Business Analytics #56: Forecasting with Linear Regression: Trend & Seasonal Pattern
Download files: https://people.highline.edu/mgirvin/AllClasses/348/348/AllFilesBI348Analytics.htm Learn: 1) (00:11) Forecasting using Regression when we see a trend and belief the trend will extend into the future. Will will predict outside the Experimental Region with the Assumption is t
From playlist Excel Business Analytics (Forecasting, Linear Programming, Simulation & more) Free Course at YouTube (75 Videos)