JananiC

  Common Machine Learning Algorithms 1️⃣ Linear Regression  ->Used for predicting continuous values. ->Models the relationship between dependent and independent variables by fitting a linear equation.  -> A foundational model that predicts a continuous outcome variable based on one or more predictor variables. 2️⃣ Logistic Regression  ->Ideal for binary classification problems. ->Estimates the probability that an instance belongs to a particular class. -> Used for binary classification tasks. It estimates the probability that a given instance belongs to a particular category 3️⃣ Decision Trees  ->Splits data into subsets based on the value of input features. ->Easy to visualize and interpret but can be prone to overfitting. -> A flowchart-like structure where each node represents a feature, each branch a decision rule, and each leaf a class label 4️⃣ Random Forest  ->An ensemble method using multiple decision trees. ->Reduce...