chinmayeeguru/Bike-Sharing-Linear-Regression-Model

To model the demand for shared bikes with the available independent variables

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rb25s13/deep-learning-charity-funding-predictor

A binary classifier that is capable of predicting whether applicants will be successful if funded

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mansstiv/Comment-Classifier

A machine learning system which takes a comment as an input and ranks it as offensive or non-offensive (neutral). To measure its effectiveness, the following classification algorithms were used: Naive Bayes, SVM and Random Forest.

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pagoma3/SKLearn_Train_Test

Sprint 11, Tesk 1

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pramodiperera/ML

Sample programs with basic machine learning concepts

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SourishW/ED-04-Sklearn-Notes

Machine learning with sklearn

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d4rthm4ul/ML-Overfitting-Lasso-and-Ridge-Regression

In this repository you will learn how to handle overfitting with the help of Lasso and Ridge Regression regularizations, also working mechanism of those while using useful charts.

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klharp/Machine-Learning-Exoplanet-Exploration

Machine Learning exercise to create models capable of classifying candidate exoplanets from a dataset.

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AdenijiAdekunle/Titanic-Dataset

This is the classification of the titanic data using logistic regression

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martell-n-tardy/Boston-Housing-Case-Study

In this case study target variables are explored while using two ways of fitting a linear regression model to predict Boston housing prices. The the least squares method is used to estimate the coefficients.

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marinafajardo/prevendo-nivel-satisfacao

Prevendo o Nível de Satisfação dos Clientes do Santander.

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subhayuroy/MotorEvents

This ML⚒ project is to prove the dependencies of a motor🛠 in an everyday pump system👷‍♂️👨‍🏭

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iamkirankumaryadav/Stocks

Predict Stocks Price

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jbizzlefoshizzle/Linear-and-Ridge-Regression

The purpose of this project was to analyze and predict housing prices using attributes or features such as square footage, number of bedrooms, number of floors, and so on.

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yaminijoshi89/Regression_Project

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eddex/signals-dataset

A dataset with 5077 images of numbered signals and a script to create a train-test-split

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