• Machine Learning (ML) is a branch of Artificial Intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so.

• Machine Learning algorithms use historical data as input to predict new output values.

Recommendation Engines
Fraud Detection
Predictive maintenance.

• Supervised Learning : Uses Labeled input and output the data.
• Unsupervised Learning : used to analyze and cluster unlabeled datasets.
• Semi-supervised Learning

Linear Regression analysis is used to predict the value of a variable based on the value of another variable. Variable to be predicted is Dependent Variable. Variable which is used to predict the value is Independent Variable

Multiple Regression is a technique that uses values of multiple independent variables and predicting the value of one dependent variable.

It is a useful python tool that allows to save the ML Models and used to re-lod pre-trained machine learning models in future. Reusability of file.

Technique applied to the integer representation and used to represent categorical variables as numerical values in a machine learning model.

Technique that use text analysis and natural language processing to classify words as either positive, negative or neutral.