Demand Forecasting
Demand Forecasting: A Comprehensive Guide 1. Introduction to Demand Forecasting Demand forecasting is the process of predicting future customer demand for a product or service using historical data, statistical models,….
Tag: Regression Analysis
Polynomial Regression
Polynomial Regression in Machine Learning 1. Introduction to Polynomial Regression Polynomial Regression is an extension of Linear Regression that models the relationship between the independent variable (X) and the dependent….
Linear Regression
Linear Regression in Machine Learning 1. Introduction to Linear Regression Linear Regression is one of the most fundamental and widely used supervised learning algorithms in machine learning. It is primarily….
Dimensionality Reduction Techniques
Dimensionality Reduction Techniques: A Comprehensive Guide Introduction Dimensionality reduction is a critical step in data preprocessing that helps improve the efficiency and performance of machine learning models by reducing the….
Identifying Data Trends and Patterns
Identifying Data Trends and Patterns: A Comprehensive Guide Introduction Identifying data trends and patterns is a crucial part of Exploratory Data Analysis (EDA) and plays a vital role in data….