Supervised Learning project aimed at using various features to predict life expectancy.
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Updated
Jun 18, 2024 - Jupyter Notebook
Supervised Learning project aimed at using various features to predict life expectancy.
In-depth exploration of linear regression models, including data cleaning, model building, and performance evaluation on various datasets.
Linear Regression Multiple Variables : Sample problem of predicting home price in monroe, new jersey
EXCELR ALL ASSIGNMENTS
Demonstrating solving multilinear regression using gradient descent optimisation.
This project aims to predict sales based on advertising spending.
Kalinda's personal website
MultiLinear Model - US Bike Rental Company
ML Models trained using different classification and regression techniques.
Visualizes the data, builds a multi-linear regression model, applies a 10-fold cross-validation resampling method, and evaluates LM, SVM, and KNN model performance using R
This repository contains snippets of advanced Python programs including Machine Learning, Deep Learning and Neural Network Models.
Modelling volume of water consumed by poor people with multilinear regression and multilayer perceptron
marketing_analyst_MLR
To create a forecast model using R that accurately predicts sales and demand for Walmart, incorporating factors like economic conditions and the effects of promotional markdowns and holidays.
Data Simplified, Finances Amplified
Each folder contains a project that utilizes several different computer science, financial, and statistical concepts to solve unique business problems.
Here you can find All data Science assignments with solutions and data set
Regression
Linear Multilinear and Logistic Regression in Machine Learning
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