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mayank0rastogi / MACHINE-LEARNING-ALGORITHMS

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This Repository Contains Different Machine Learning and Important Concepts

linear-regression logistic-regression knn decision-tree-classifier classification-algorithm dbscan-clustering arima-model decision-tree-regression agglomerative-clustering dbscan-clustering-algorithm elasticnetregression randomized-search-cross-validation featureselection elasticnet-regression ploynomialregression handling-imbalanced-data
  • Updated Sep 3, 2021
  • Jupyter Notebook

Lori10 / BostonHousing-Using-LinearRegreesion-Ridge-Lasso-ElasticNet

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In this repo I have implemented a machine learning project which predicts the house price in Boston. I have covered these topics : Exploratory Data Analysis, Feature Engineering including feature scaling, transformation into normally distributed data, multicollinearity, feature selection. I have trained the dataset using Linear Regression, Ridge…

linear-regression machinelearning feature-engineering ridge-regression multicollinearity lasso-regression elasticnetregression
  • Updated Apr 5, 2021
  • Jupyter Notebook

LailaMahmoudi / HousePrices-AdvancedRegressionTechniques-DataVisualization

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Kaggle Competition : Predicting house prices using a collection of advanced regression techniques and data visualization with plotly

numpy plotly regression pandas data-visualization kaggle-competition xgboost ridge-regression gradient-boosting house-price-prediction lasso-regression sklearn-library cleaning-data stacking-ensemble lgbmregressor elasticnetregression
  • Updated Jan 11, 2021
  • Jupyter Notebook

waweru-wanjiru / House-price-prediction

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Creating Regression model using different techniques that will predict the price of house given the number of bedrooms,size of living area,size of basement,number of floors,year it was built,year it was renovated,the location, availability waterfront and view,the grading of the house the size above and the condition of the house. I will create t…

sklearn python3 ridge-regression lasso-regression quantile-regression multiple-linear-regression elasticnetregression
  • Updated Sep 28, 2020
  • Jupyter Notebook

slothengineer / MachineLearning-concepts

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machine-learning exploratory-data-analysis machine-learning-algorithms regression pca-analysis dimensionality-reduction logistic-regression decision-trees support-vector-machines clustering-algorithm time-series-analysis lasso-regression supervised-machine-learning unsupervised-machine-learning knn-algorithm anamoly-detection linear-regressions elasticnetregression ensemble-techniques
  • Updated Oct 13, 2023
  • Jupyter Notebook

she-osprey / IPWK7-CORE

Star 0

HASS CONSULTING COMPANY - REAL ESTATE: study the factors that affect housing prices using the given information on real estate properties that was collected over the past few months. Later onwards, create a model that would allow the company to accurately predict the sale of prices upon being provided with the predictor variables.

regression supervised-learning ridge-regression lasso-regression quantile-regression regression-analysis multiple-linear-regression elasticnetregression
  • Updated Dec 23, 2020
  • Jupyter Notebook

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