Machine learning (linear regression & kernel-ridge regression) examples on the Boston housing dataset
LIQUID NEURAL NETWORK LNN CLASSIFIER AND REGRESSION
Udacity Machine Learning Course Predicting Boston Housing Prices
Predicting Boston House Prices
Machine learning: Practical applications
Boston house price prediction.
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.
Boston House Dataset: descriptive and inferential statistics, and prediction of the variable price using keras to create a neural network.
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.
Machine Learning Nano-degree Project : To assist a real estate agent and his/her client with finding the best selling price for their home
Used machine learning techniques to predict the prices of houses in the Boston housing market dataset.
Tensorflow Lattice Regression for predicting house prices
Understanding regression.
Basic implementation of Lasso, Ridge Regression and Elastic-Net Regularization.
Beginner-friendly Machine Learning notebooks using Python, Pandas, NumPy & Scikit-learn: classification (Logistic Regression, KNN, Decision Tree, Random Forest), regression and model evaluation
Regression by diviging data into bins and fitting different degree of polynomials on each bin.
Simple Linear Regression Implementation using Python on Boston Housing Dataset
Predicting boston housing prices using logistic regression, gridsearchcv
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