This section covers at least one of the machine learning technique as highlighted in the flow diagram below.
Flow Diagram
Real Estate property prediction
using a comparison of Linear, ElasticNet, Lasso Regression model.
The best ML Model was selected to Predict Selling price of a Real Estate Property using a comparison of Linear, ElasticNet, Lasso Regression model with the R-squared, MAE, MSE evaluators
Classification modelling for Wine quality based on composition
using the Support Vector Machine (SVM) Algorithm
The SVM Algorithm was used to predict and classify wine quality based on composition.
Predicting the selling price of Cars using Linear Regression, Random Forest Regressor
The Selling price of cars was predicted based on Brand, Make and other specifications using the Regression model
Customer Segmentation
using K-Means clustering
The K-means Algorithm was used to group customer into clusters based on certain specified criteria.
Predicting outcome of patient with Possibility of Brainstroke using the Logistic Regression classification model
Logistic Regression classification model was used to predict and classify patient with possible diagnosis of brain stroke using a number of variables
Predicting and classifying patients with Possibility of Heart disease using the RandomForest, Linear SVC classifier
Building a model that optimizes Precision, Accuracy score to predict and classify patient with heart disease.