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linearregression

Here are 127 public repositories matching this topic...

coding-ai / machine_learning_cpp

Machine Learning C++

machine-learning algorithms cpp linear-regression machine-learning-algorithms tutorials logistic-regression machinelearning linear-models logistic-regression-algorithm linearregression linearregression-gradientdescent machinelearning-cpp

Updated Apr 29, 2023
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FeezyHendrix / LinearRegressionfromscrath

Linear Regression From Scratch

data-science machine-learning numpy regression python3 linearregression

Updated Jul 20, 2018
Jupyter Notebook

MHassaanButt / Antenna-design-using-ML

In this project, I applied different regression models for rmse and mae on antenna dataset for predict signal strength.

elasticnet lasso-regression linearregression decisiontreeregressor randomforestregressor

Updated Dec 27, 2021
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DickyChengg / Stock-Market-Forecaster

Stock Market Forecasting with CoreML in Swift

swift ios machinelearning linearregression coreml createml stockmarketforecasting stockmarketforecaster multivariatelinearregression tabularregressor applemachinelearning presentforecasting dynamicallyloadmlmodel

Updated Jun 3, 2020
Swift

syamkakarla98 / Linear-Regression

Implementation of Linear regression on Boston House Pricing and Diabetes data sets using python.

linearregression pyhton3 sklearn-library

Updated Aug 11, 2018
Python

SudipBishwakarma / MSc-Dissertation-2021

Stock Prediction using LSTM, Linear Regression, ARIMA and GARCH models. Hyperparameter Optimization using Optuna framework for LSTM variants.

tensorflow scikit-learn exploratory-data-analysis jupyter-notebook kaggle lstm hyperparameter-optimization stock-price-prediction arima garch time-series-analysis linearregression googlecolab optuna nepse

Updated Jul 30, 2023
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AlvinMark / PGDDS-IIIT-Bangalore

A set of projects I worked on as part of my PG Diploma in Data Science Program

data-science exploratory-data-analysis data-visualization data-analysis logistic-regression predictive-modeling predictive-analytics svm-classifier r-programming time-series-analysis linearregression pgdds-iiit-bangalore

Updated Jul 22, 2018
R

VaibhavGaur05 / StockMarketML

This repository contains our project on Stock Market Price prediction Using Historical Data

scikit-learn machine-learning-algorithms lstm machinelearning decision-trees lstm-neural-networks stockmarket scikitlearn-machine-learning knn-classification lstm-networks linearregression knn-algorithm machinelearning-python machinelearningprojects

Updated Apr 25, 2021
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RohitRathore1 / Repo-2020

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford University, MIT, UC Berkeley. And an intent classifier which can classifies a query into one of the 21 given intents.

Updated Jul 29, 2020
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1pani / Stock-prices-prediction-of-Google-LLC

Stock prediction model with data imported from quandl

python machine-learning svm jupyter-notebook linearregression

Updated Jan 29, 2018
Jupyter Notebook

MahsaShk / ApacheSpark

Apache Spark machine learning project using pyspark

nlp aws streaming twitter spark ec2 pyspark randomforest mllib dataframe rdd imbalanced-data sparkstreaming linearregression gbt covid-19 logiticregression featureimportances

Updated Jul 30, 2020
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nipunmohindra / Dummy-variables

Dummy variables can be really helpful while creating multiple linear regression models.

data-science machine-learning statistics dummy-data linearregression

Updated Jul 16, 2020
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mukulsinghal001 / USA-Housing-Price-Prediction

In this project I have implemented 14 different types of regression algorithms including Linear Regression, KNN Regressor, Decision Tree Regressor, RandomForest Regressor, XGBoost, CatBoost., LightGBM, etc. Along with it I have also performed Hyper Paramter Optimization & Cross Validation.

linear-regression cross-validation regression hyperparameter-optimization knn-regression xgboost-algorithm decision-tree-regression regression-algorithms regression-analysis linearregression regression-model

Updated Feb 14, 2021
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nipunmohindra / linear-regression

Few linear regression models developed by me.

python numpy pandas seaborn datascience matplotlib linearregression

Updated Jul 15, 2020
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urvishp80 / Predicting-House-Prices-With-Regression

Simple regression problem where by pre-loaded data I have shown different regression algorithm and their performance on data.

machine-learning regression randomforest scikitlearn-machine-learning svr linearregression

Updated Oct 16, 2017
Jupyter Notebook

beetrandahiya / Titanic-Survival-Prediction

This was my first step into machine learning, Its not new, I am just uploading it on Github now. Its a llinear regression model

machine-learning linear-regression machine-learning-algorithms titanic-kaggle machinelearning titanic-survival-prediction linearregression colaboratory google-colab colab-notebook machinelearning-python

Updated Nov 12, 2020
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somanathkshirsagar / -LeastSquare

LeastSquare is a web application developed with the objective of predicting the price of used cars. The project follows the life cycle of a data science project and incorporates various tools and techniques such as machine learning, regression analysis, linear regression, polynomial regression, Lasso regression, Ridge regression, and Streamlit.

python docker machine-learning render linearregression lasso-regression-model ridge-regression-model streamlit-webapp

Updated Sep 1, 2023
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aghezzafmohamed / Data-traffic-prediction

Forcasting the volume of DATA 2G, 3G and 4G stream

python timeseries pandas fbprophet forcasting linearregression

Updated Aug 15, 2020
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Prathamesh-Rathi / Medical-Insurance-Cost-Prediction

Medical Insurance Cost Prediction

sklearn python3 seaborn linearregression

Updated May 28, 2023
Jupyter Notebook

SethiNik / Credit-card-spend-prediction

data-science machine-learning linearregression

Updated Dec 14, 2019
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