GitHub topics: regression-algorithms

Repositories

Blankscreen-exe/Linear-Regression

Attempt to re-construct a linear regression algorithm with python.

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ldv1/kstar-NN

Implementation of the k*-Nearest Neighbors method in Python

Language: Python - Size: 1.67 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 2

SAG-KeLP/kelp-additional-algorithms

Language: Java - Size: 2.63 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 15 - Forks: 3

tanjil072/Flight-Fare-Prediction-Using-Machine-Learning-Techniques

Predicts the price of flight fare using different machine learning algorithms

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The HeartBeat is a healthcare diagnostic application which will be served as a full stack web application, developed in integration with four machine learning models which will be used to predict the occurrence and risk score of various types of common health complications like diabetes , heart disease , liver disease and brain tumour.

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carlostomeh/Predicao_Preco_Apto_Sao_Paulo

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asianjack19/Research-Paper-Flood-Intensity-Population

Code for our research paper about regression models prediction

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dr-eduardovasconcelos/Regressor

Language: C - Size: 2.37 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

shouryatiwaryy/Internship_Banking_ML-project

Machine Learning (Training + Internship) by InternshipStudio

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lightknight64bit/House-prices-dataset

My attempt on the house prices dataset

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SaiJeevanPuchakayala/Implement-ML

This repo contains all my implementations of Machine Learning Models.

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divyankm/Power-BI-ML-using-Pycaret

Power BI Machine Learning algorithm using Pycaret

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OfficialNMN/Car-Price-Prediction

End to End data science project on dataset of used cars from CarDekho.

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KanchanSatpute/Modeling-Housing-prices

The project aims at building a model of housing prices to predict median house values in the state of California.

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Baltazar-Ortega/regression

Linear, ridge, lasso and elastic net regression in Julia using a videogames sales dataset

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m0h1t98/Predict-Car-Price

This is a predictive analysis of a dataset from CAR DEKHO. This is an end to end machine learning model.

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saLeox/Lambda-BatchTraining-HousePricePredict

Use Spark-Milib Java library to perform machine learning (regression problem)

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butler-julie/SRE

Sequential Regression Extrapolation (SRE): An accurate method of extrapolation using machine learning

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malavmevada/Machine-learning-university-of-washington

Coursera/Machine learning, University of Washington

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naman884/Machine-Learning-Projects

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lyraxvincent/Data-Science-Machine-Learning-Portfolio

Portfolio Projects through my Data Science and Machine Learning Course program.

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Ekhodair/Automobile-Dataset-Regression-modelling

in this repo, I perform Exploratory Data Analysis and Predictive Modelling Using Car Prices from the Automobile dataset in order to predict the most probable car price

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FlavioIsoni/Machine-Learning-Mastery-Course

Machine Learning Mastery Course (by Jason Brownlee)

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AviKasliwal/AirQualityPrediction

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AQadir44/Data-Scientist-Work

Have the projects related to Regression, Image Classification, Deep Learning, NLP.

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SebastienPavot/Kaggle-NYC-Taxi-Trip-Duration

Python / Kaggle / Regression - Predict the trip duration of NYC Taxi trip using location data with regression algorithms.

Language: Python - Size: 99.5 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

TrentBrunson/R_Analysis

Putting 'R' into Autos-R-Us - an analysis of automobile manufacturing.

Language: R - Size: 98.6 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

luyandamncube/ft_linear_regression

Data Science: Linear Regression

Language: Python - Size: 1.59 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 0

luyandamncube/DSLR

Data Science: Logistic Regression

Language: Python - Size: 1.71 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 0

kaustubholpadkar/Linear_Regression-Gradient_Descent

Linear Regression with Gradient Descent in Octave

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Promeos/regression-exercises

ML Regression exercises to develop skills for Data Science while at Codeup.

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kush1912/Neural-Networks

This repository consists of all the assignments i have done as a part of the neural networks lab which was a part of my curriculum.

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SebastienPavot/Kaggle-Competition-Regression-HousingPriceMarket

Python / Kaggle Competition / Top 13% - Regression algorithms to predict house prices.

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jcoopa/Kaggle-House-Prices--Advanced-Regression-Techniques

My solution to the Kaggle House Prices competition. This method performed very well, in late 2019 we ranked 308 out with a final score of .11427 we achieved this by using a blended model of 5 power machine learning techniques.

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Aishwarya2795/Investment-portfolio-validation-analysis-for-post-trade-financial-services-firm

Stock Market Behavior Analysis and Forecasting of prices to better understand the seemingly arbitrary nature of stock movements, using Deep Learning, Natural Language Processing, and other Data modeling techniques.

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worklifesg/Machine-Learning-IBM

This repository is on Machine Learning using Python 3.8.3 using Visual Studio Code. Most of the programs are from IBM Machine Learning course and some algorithms (course out of scope) are presenterd only for learning purpose. These codes will be on topics like Regression, Classification, Clustering and Recommender Systems.

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anantsimran/Kaggle-Zestimate

Use this code for the kaggle competiton: https://www.kaggle.com/c/zillow-prize-1

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sidrakshe28/RGSOC-20

Gaussian Process Regression

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SudhaAmarnath/E-Cigarette-VapingTrendAnalysis

E Cigarette Vaping trend analysis with machine learning life cycle

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Ekan5h/PiecewiseLinearRegression

Implementation of Piece-wise Linear Regression in python on data with Gaussian noise.

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kalpanabaheti/Water-Quality-Analysis

A balanced distribution of domain expertise (Chemical dependence and stoichiometry) and machine learning algorithms to derive the most accurate estimate of water quality over given time. Emphasis on algorithms that have been tweaked to bring about good results. Proof-driven and tested concept.

Size: 2.52 MB - Last synced at: 6 months ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

Abhijit2505/Data-Science

This repository containts the projects that I have done along With my Data Science MOOCs from Coursera.

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shashankumar2812/DataScience-DataAnalytics

Data Science/DataAnalytics Projects

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Karan-Malik/AdvancedRegression

Using Various Regression Algorithms to Predict House Sales

Language: Python - Size: 90.8 KB - Last synced at: 5 months ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

Adamouization/Superconductors-Critical-Temperature-Predictions-Regression

:chart_with_upwards_trend: Machine Learning & Data Visualisation/Processing techniques for predicting the critical temperatures required for different superconductors to conduct electrical current with no resistance.

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kayanyahska/Data_Science

This is having the scripts relating to various data_science algorithms.

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mdh266/NumLinearAlegebra4ML

Numerical Linear Algebra In Machine Learning

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BharatMaheshwari96/StockMarket

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gianmarcosegura/regression

Language: Python - Size: 1.95 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

sergiusz28/predykcja_cen

Prognozowanie cen samochodów

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sgagankumar/ML-Neural-Networks-Classifications

Project to demonstrate various machine learning models used for classification of datasets.

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Ankuraxz/ML-DL-OPENCV_IOSD_WORKSHOP

Content for 3 Day Workshop on MACHINE LEARNING Bought to you by IOSD

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subrata-samanta/Predicting-Insurance-Premiums

The insurance.csv dataset contains 1338 observations (rows) and 7 features (columns). The dataset contains 4 numerical features (age, bmi, children and expenses) and 3 nominal features (sex, smoker and region) that were converted into factors with numerical value designated for each level.

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