Machine Learning

K-NN K-Nearest Neighbors (K-NN) is a simple machine learning algorithm used for both classification and regression tasks. It’s based on the idea that things that are similar to each other are likely to be in the same category. Key Concepts of K-NN:¶ What is K-NN? K-NN is an algorithm that …

Naive Bayes Naive Bayes is a simple but powerful machine learning algorithm used for classification tasks. It’s based on applying Bayes’ Theorem with the assumption that features are independent of each other, which is why it’s called “naive.” Key Concepts of Naive Bayes:¶ What is Naive Bayes? Naive Bayes is …

Random Forest Random Forest Classifier in Simple Language¶What is a Random Forest Classifier? A Random Forest Classifier is a machine learning method used for classification tasks. It combines multiple decision trees to improve accuracy and robustness. Think of it as a team of decision trees that work together to make …

Decision Tree Decision Tree Classifier Explained Simply¶What is a Decision Tree Classifier? A Decision Tree Classifier is a method used in machine learning to categorize data into different groups. It works like a flowchart, where each question helps you narrow down the possible outcomes until you arrive at a final …

Logistic Regression Logistic Regression is a method used in machine learning to predict if something belongs to one of two categories, like “Yes” or “No.” Key Ideas:¶ What does it do? Logistic regression helps answer questions like, “Will a customer buy this product?” or “Is this email spam?” It takes …

Apriori In [1]: pip install apriori Collecting apriori Downloading apriori-1.0.0.tar.gz (1.8 kB) Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'done' Building wheels for collected packages: apriori Building wheel for apriori (setup.py): started Building wheel for apriori (setup.py): finished with status 'done' Created wheel for apriori: filename=apriori-1.0.0-py3-none-any.whl size=2461 sha256=e7a218cb1515923b728187e5bf3e3ee0af71b55f2bc028616f355f8de48b7f0f …

Random Forest Regression 1. What is Random Forest Regression?¶ Random Forest Regression is an advanced machine learning method used to predict continuous values (like house prices). It combines multiple decision trees to improve accuracy and reduce errors. 2. How Random Forest Works¶ Instead of using just one decision tree (which …

Decision Tree Regression 1. What is Decision Tree Regression?¶ Decision Tree Regression is a method used to predict a continuous value (like house price) based on input features (like size, number of rooms). It uses a tree-like model to make decisions. 2. How Decision Trees Work¶ The model splits the …

Support Vector Regression’ 1. What is Support Vector Regression?¶ SVR is a type of machine learning method used to predict continuous values (like prices) based on input features (like size, number of rooms). It’s based on the concept of support vectors, which help in defining the best prediction model. 2. …

Polynomial Regression 1. What is Polynomial Regression?¶ Polynomial Regression is a type of regression analysis that models the relationship between a dependent variable (like house price) and one or more independent variables (like size) as an nth degree polynomial. It helps capture relationships that are not linear (straight lines). 2. …