Unsupervised Learning: Identify Target Customers

Linear Regression with multiple variables is implemented to predict the prices of houses using the size of the house (in square feet) and the number of rooms as features. Suppose you are selling your house and you want to know what a good market price would be.

A machine learning project on machine failure binary classification and failure type multi-class classification.

Data preprocessing is a data mining technique that is used to transform the raw data into a useful and efficient format.

Classification of species of Iris Flowers using Machine Learning and classifier comparison

Red wine quality prediction machine learning model.

Calories_Brunt_Prediction

IN PROGRESS. Machine learning model aimed at predicting the probability of a customer purchasing a car, based on demographic and financial data. This model development is in progress and serves as an integral component of my learning process, specifically targeting skills needed for machine learning deployment and optimization.

Normalizes a value according to the specified steps, using feature scaling.

Supervised learning based on census data to predict income to identify potential donors

Using Machine Learning unsupervised learning techniques to see if any similarities exist between customers and use those similarities to segment customers into distinct categories using various clustering techniques

This project shows a guide for improving the accuracy of regression model.

Feature-Scaling

Study feature scaling.

Support Vector Machine Classification model is applied on bank dataset containing 41188 rows and 21 columns. The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to assess if the product (b…

This is the Salary Prediction of the people of the Baltimore City -SVM-SVR

Developed a machine learning model to accurately predict car ex-showroom prices, providing valuable insights for informed decision-making in the automotive industry.

Files for Feature Engg, Feature Scaling, Feature Selection, Statistics and Implementation of every Machine Learning Algorithm.

A school bootcamp for hands on learning of Machine Learning