boston-housing-dataset
There are 3 repositories under boston-housing-dataset topic.
- Language:Jupyter Notebook 11
qin-yu / julia-regression-boston-housing
2018 [Julia v1.0] machine learning (linear regression & kernel-ridge regression) examples on the Boston housing dataset
Language:Julia 11dumebi / Predicting-Boston-Housing-Prices
Udacity Machine Learning Course Predicting Boston Housing Prices
Language:Python 7bmshahrier / boston-house-price-prediction
Boston house price prediction.
Language:Python 5imanirajian / Machine-Learning
Machine learning: Practical applications
machine-learningpractical-applicationspythondeep-learningneural-networkregressioncross-validationkfold-cross-validationboston-housing-datasetmultivariate-linear-regressionlinear-regressionmodel-selectionvectorizationdecision-treescikit-learnword-frequencyshakespeare-datasetlog-word-frequencyautoencodermnist-datasetLanguage:Jupyter Notebook 5JangirSumit / BostonHousePricePrediction
Predicting Boston House Prices
Language:Jupyter Notebook 5meetgandhi123 / 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.
Language:Jupyter Notebook 3npradaschnor / machine-learning-project
Boston House Dataset: descriptive and inferential statistics, and prediction of the variable price using keras to create a neural network.
Language:Jupyter Notebook 3saheelahmed2 / Boston-Housing-EDA
Exploratory Data Analysis on Boston Housing Dataset . This data set contains the data collected by the U.S Census Service for housing in Boston, Massachusetts.
Language:Jupyter Notebook 3geekquad / Lasso-Ridge-Regression-and-Elastic_Net-Regularization-from-Scratch
Basic implementation of Lasso, Ridge Regression and Elastic-Net Regularization.
Language:Jupyter Notebook 2kristpapadopoulos / house-price-predictions
Tensorflow Lattice Regression for predicting house prices
Language:Jupyter Notebook 2prakharchoudhary / Tale-O-Regression
Understanding regression.
Language:Jupyter Notebook 2- Predicting-Boston-Housing-Prices
sushantdhumak / Predicting-Boston-Housing-Prices
Machine Learning Nano-degree Project : To assist a real estate agent and his/her client with finding the best selling price for their home
pythonscikitlearn-machine-learningdecision-tree-regressionmodel-complexitymodel-selectionmodel-validationmatplotlib-pyplotregression-modelsboston-housing-price-predictionboston-housing-pricesboston-housing-datasetgridsearchcvcross-validationlearning-curvecomplexity-curvecomplexity-analysismachine-learninghousing-pricesbostonscikit-learnLanguage:Jupyter Notebook 2 - Language:Jupyter Notebook 2
Venka97 / Boston-housing
Used machine learning techniques to predict the prices of houses in the Boston housing market dataset.
Language:HTML 2adrianlievano / predict_bostonhousingprices
Predicting boston housing prices using logistic regression, gridsearchcv
Language:HTML 1agoila / boston_housing
Udacity MLND P1: Predicting Boston Housing prices
Language:HTML 1- Language:Jupyter Notebook 1
aps19 / B-Spline-Regression
Regression by diviging data into bins and fitting different degree of polynomials on each bin.
Language:Jupyter Notebook 1div3125 / udacity-model-evaluation-and-validation
Project 1 for Udacity Machine Learning Nanodegree
Language:HTML 1drzeeshanaliofficial / multi-linear-regression-on-boston-dataset
Multi Linear Regression Implementation using Python on Boston Housing Dataset
Language:Jupyter Notebook 1- Language:Jupyter Notebook 1
Simple Linear Regression Implementation using Python on Boston Housing Dataset
Language:Jupyter Notebook 1EN10 / BostonHousing
Boston Housing Dataset Example
Language:Jupyter Notebook 1gapkim / Boston_Dataset
Comparison of model selection methods for Boston dataset
Language:R 1Georg963 / Data-Analysis-with-Python
Statistics for Data Science with Python
Language:Python 1kalsam123 / Boston-House-price-prediction-using-regression
A machine learning web app for Boston house price prediction.
Language:Jupyter Notebook 1mukeshmk / toy-datasets
Implementation of various algorithms on scikit-learn's Toy Datasets.
Language:Scilab 1praxitelisk / MLND-P1-Boston-Housing-Prices
Machine Learning Udacity Nanodegree Program, Project 1, Predicting Boston Housing Prices
Language:HTML 1Shivank1006 / Regression_Analysis_on-Boston-House_Dataset
Data Science Assignment
Language:Jupyter Notebook 1vishaldpatel92 / Linear-Regression-Model-for-Boston-Housing-Dataset-Vishal-_files
Implementing linear regression on Boston Housing dataset using scikit-learn
Language:Jupyter Notebook 1emilybriggs01 / bos_data_analysis
Worked in R to analyze a Boston Housing dataset. I explored the dataset, used the ggplot2 package to produce visualizations, and created a multiple linear regression model to predict median house values.
0razamehar / Statistical-Analysis-on-the-Boston-Housing-data
R-based statistical analysis of Boston Housing Data. Explored feature scales, computed descriptive stats, visualized data, and identified outliers (e.g., higher crime rates in specific areas). Examined variable relationships, calculated correlation coefficients, and presented findings via cross-classifications.
0anuragwolf09 / GRADIENT-DESCENT-PROJECT
GRADIENT DESCENT PROJECT ON BOSTON DATASET | GRADIENT DESCENT PROJECT ON COMBINED CYCLE DATASET | GRADIENT DESCIENT BASICS
Language:Jupyter Notebookcelestaia / linearregression-bostonhousing
In this project, I created a linear regression analysis of the Boston Housing Dataset with Python
Language:Jupyter Notebookkavilivishnu / Regression_for_house_price_estimation_using_the_Boston_Housing_Price_dataset
A Deep Learning Project on "Regression" using the Boston Housing Prices dataset. We used algorithms such as "k-fold", which will help us in getting more combinations if training and testing sets, which will give a robust performance of our model. Many other features are included to improve our models perrformance.
Language:Jupyter Notebook
