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m-imani / Models-development

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developing several models (Linear Regression, Multiple Linear Regression, and Polynomial Regression) that will predict the price of the car using the variables or features. Then evaluating these models (in-sample, and cross-validation) using R-squared and Mean-Squared-Error metrics to find out which model is a better fit for this dataset.

linear-regression cross-validation polynomial-regression multiple-linear-regression r-squared
  • Updated Feb 3, 2021
  • Jupyter Notebook

lakshaykakkarr / bikes-sales

Star 0

Business Goal: To model the demand for shared bikes with the available independent variables. It will be used by the management to understand how exactly the demands vary with different features. They can accordingly manipulate the business strategy to meet the demand levels and meet the customer's expectations.

linear-regression recursive-feature-elimination multiple-linear-regression dummy-variables r-squared
  • Updated Apr 21, 2021
  • Jupyter Notebook

e-paj / Machine-Learning-Projects-in-Python

Star 2

This repository contains all the Machine Learning projects I did using different Machine Learning methods. Python being the main software used.

visualization python machine-learning deep-learning numpy linear-regression pandas feature-selection classification standardization cosine-similarity webscraping svm-model clustering-algorithm decision-tree-classifier kaggle-dataset k-means-clustering accuracy-score train-test-using-sklearn r-squared
  • Updated Jun 15, 2022
  • Jupyter Notebook

hardikasnani / diamond-price-and-carat-prediction

Star 1

I leveraged an algorithmic approach to predict the price and carat of the diamond using Machine Learning. Various regression models have been trained and their performance has been evaluated using the R Squared Score followed by tuning of the hyperparameters of top models. I have also carried out a trade-off based on the R Squared Score and the …

machine-learning ridge-regression multivariate-regression lasso-regression run-time random-forest-regression trade-off diamonds-price-prediction r-squared diamonds-dataset cross-validation-grid-search hyperparamter-tuning diamonds-carat-prediction
  • Updated Jul 8, 2022
  • Jupyter Notebook

Kovenda / A-B-Testing-a-Cotton-Mill

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To increase efficiency of a cotton mill. I set up an ANOVA 3 factor analysis model in R to determine best spindle & position that produces the longest roving. The only significant difference in roving length was observed when position was 3 and spindle was 1 or 2. (ANOVA Model in R)

data-science ggplot2 statistics dplyr probability multifractal-analysis mathematical-modelling experimental-design residuals experimental-data-analysis ggplot a-b-testing anova-test emmeans r-squared anova-analysis interaction-effects scale-location-plot
  • Updated Jul 29, 2022
  • R

saboye / predicting-sales-performance

Star 0

project to predict smartphone sales based on the marketing budget spent on advertising using three platforms involves collecting data on marketing spending and smartphone sales, and using statistical and machine learning techniques to build a model that can predict future smartphone sales based on changes in marketing budget.

python linear-regression f-statistics p-values r-square r-squared
  • Updated Dec 21, 2022
  • Jupyter Notebook

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