Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists tagged with boston-housing-dataset
A curated list of projects in awesome lists tagged with boston-housing-dataset .
https://github.com/meetgandhi123/machine-learning-101
Hello friends, I am making a Machine Learning repo. where I will upload several datasets and its solution with explanation. Starting from the basic and moving up in difficulty level.
boston-housing-dataset car-price-prediction classification deep-fake education-data explanation hand-sign-recognition human-resou iris-dataset machine-learning medical-cost-personal-dataset mnist-dataset new-york-stock-exchange-dataset red-wine-quality regression titanic-kaggle
Last synced: 18 Nov 2024
https://github.com/geekquad/lasso-ridge-regression-and-elastic_net-regularization-from-scratch
Basic implementation of Lasso, Ridge Regression and Elastic-Net Regularization.
boston-housing-dataset elasticnetregression feature-selection lasso-regression regression regression-analysis regularization ridge-regression sklearn
Last synced: 10 Nov 2024
https://github.com/prakharchoudhary/tale-o-regression
Understanding regression.
boston-housing-dataset machine-learning python regression regression-analysis
Last synced: 18 Nov 2024
https://github.com/g4brielvs/data-science-playground
Collection of data science and visualization exercises
boston-housing-dataset introduction-to-data-science plotly scikit-learn tensorflow
Last synced: 14 Oct 2024
https://github.com/shourya1997/boston_housing
In this project, you will apply basic machine learning concepts on data collected for housing prices in the Boston, Massachusetts area to predict the selling price of a new home.
boston-housing-dataset data-analysis jupyter-notebook machine-learning python unsupervised-machine-learning
Last synced: 11 Nov 2024
https://github.com/quocduyenanhnguyen/data-mining-case-study-project
In this project, for supervised learning, I used regression and decision tree techniques to build predictive models and tested model accuracy by evaluating MSE and misclassification cost. For unsupervised learning, I performed cluster analysis on Iris dataset to identify subgroups and I used association rules to analyze transaction details in the Groceries dataset.
boston-housing-dataset credit-card-dataset groceries-dataset iris-dataset predictive-modeling r rstudio supervised-learning unsupervised-learning
Last synced: 08 Nov 2024
https://github.com/jonad/boston_housing_price
Predicting Boston Housing Prices.
boston-housing-dataset jupyter-notebook matplotlib numpy pandas python3 scikit-learn
Last synced: 07 Nov 2024
https://github.com/somjit101/ds-linear-regression
A simple Linear Regression model using the Boston Housing Prices Dataset
boston-housing-dataset boston-housing-price-prediction linear-regression machine-learning machine-learning-algorithms scikit-learn simple-linear-regression
Last synced: 16 Nov 2024
