msikorski93/Protein-Tertiary-Structure

Performing a regression task for estimating residue size based on given physicochemical properties of protein tertiary structures (CASP 5-9).

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pgeedh/INTRO-TO-MACHINE-LEARNING-VISUALIZATION-AND-REGRESSION

This repository contains code for the CSE574 INTRO TO MACHINE LEARNING VISUALIZATION AND REGRESSION

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ADVAIT135/Global_AI_ML

Notebooks for Global AI Hub ML course in Aug 2022

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nishitpatel01/predicting-age-of-abalone-using-regression

Predicting the age of abalone using multiple regression in R

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paulinamoskwa/GLMs

Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈

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mbidu/Machine-Learning-Projects

Machine Learning Projects

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Naveenpandey27/Machine-learning-projects

In this Repository i have uploaded all my Machine Learning Practice Projects

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PriyankaSharma0925/Tensorflow

Learning Tesnsorflow fundamentals.

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rudrajit1729/Machine-Learning-Codes-And-Templates

Codes and templates for ML algorithms created, modified and optimized in Python and R.

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hoyirul/regression-python

Analisis regresi dalam statistika adalah salah satu metode untuk menentukan hubungan sebab-akibat antara satu variabel dengan variabel yang lain.

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hoyirul/klasifikasi-regresi-volunteer

Pemilihan data training dan data testing, dengan dilengkapi fitur menerapkan fitur klasifikasi dan regresi, Confusion Matrix dan ROC berdasarkan klasifikasi yang diterapkan dan visualisasi

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hoyirul/BBCA-BBRI-stock-predictions

prediction of the rise and fall of BBCA and BBRI stocks using the naive Bayes and regression methods by utilizing datasets from BBCA and BBRI

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Vialt6/Youtube-Likes-prediction

Data Mining project. In this project I tried to predict the number of likes of the videos through some machine learning models.

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miladtulabi/regression-tehran-house-price

Regression house price

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thoth2357/Scores-Prediction-and-Classification

Predictive model to evaluate student score performance

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Bhardwaj-Saurabh/Machine_Learning_Specialization_AndrewNG_Coursera

This repository contains all the Lab and Assignments from Andrew NG Machine Learning Specialization Course on Coursera.

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archowdhury/Comparing-the-different-types-of-Regression

Comparing the different types of Regression

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stephenleo/nyc-taxi

New York Taxi dataset analysis using Python

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flo1166/Regression_JavaClass

This was part of the lecture "object oriented programming of heuristics" at the KU Ingolstadt.

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Nishil07/Hands-on-Basics-of-Machine-Learning

This repository is for every beginner who just finished with the theoretical part of Machine Learning and wants to have a hands on experience of various kinds of algorithm and make predictions on a real time dataset.

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JoKoum/stochastic-gradient-trees-python

Stochastic Gradient Trees implementation in Python

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JoKoum/stochastic-gradient-trees-cython

Stochastic Gradient Trees implementation in C++, Python

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mrparker909/MGLMRiem

Implementing the algorithms of Kim et al. 2014 for regressing multiple symmetric positive definite matrices against real valued covariates.

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sjchoi86/deep-robust-regression

Deep Robust Regression Methods

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saranshkr/house-price-prediction

Exploratory data analysis, data cleaning, model selection and hyperparameter tuning using GridSearchCV with the California house prices dataset

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ilhansevval/Machine_Learning

This repository includes machine learning algorithms which is classification, regression, clustering, NLP, PCA, model selection and recommendation systems

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saichandrareddy1/Machine_Learning_basics

This is repository about the MachineLaering Basics including all the Machine learning Algorithms

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WISSAL-MN/Regression-Lineaire-Numpy

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brunodifranco/rossmann-telegram-app

Telegram bot for Rossmann DS project

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brunodifranco/rossmann-app

Rossmann sales prediction project app

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ldv1/bbvi_spike_and_slab

Black-box spike and slab variational inference, example with linear models

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ibrahimcanerdogan/Machine-Learning-Tutorial

All Classification, Regression, Unsupervised Learning Algorithms

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CarlitosDev/nextDoor

Next Door neighbours Python implementation

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shaizm/data_science_portfolio

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

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avikumart/Regression-EDA-Project-IPLDATA

In this project I have done detailed EDA of IPL data set using pandas, matplotlib and seaborn. following EDA, I have build regression models using statsmodels and sklearn's API.

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chethanhn29/Factors-Influecing-US-House-Price

Using publically available data for the national factors that impact supply and demand of homes in US, build a model to study the effect of these variables on home prices.

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bulentsiyah/My-Studies-on-Kaggle

It is the repo I listed my kernels in Kaggle. You can access it in detail from my Kaggle address https://www.kaggle.com/bulentsiyah.

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fsiddh/Machine-Learning-Techniques

This repository consists of Machine Learning Techniques (Both Supervised and Unsupervised Learning) which you go through for more better and broader understanding of different methods used in solving machine learning problems.

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nikunjsonule/Bike-Sharing-Demand-Prediction

Currently Rental bikes are introduced in many urban cities for the enhancement of mobility comfort. It is important to make the rental bike available and accessible to the public at the right time as it lessens the waiting time. Eventually, providing the city with a stable supply of rental bikes becomes a major concern. The crucial part is the prediction of bike count required at each hour for the stable supply of rental bikes.

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sidharth582/Realestate-price-predictor

A machine learning model used to predict the future prices of real estate so that an investment on the property can yield a better return in future

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AboNady/Multiple_Linear_Regression_From_Scratch

A very simple Multiple Linear Regression (MLR) algorithm from Scratch. I did not use Scikit-Learn or any similar libraries

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SandeshGhi/Real-Estate-Housing-Price-Predictor

RandomForest Regressor Model ML for predicting Price of House.

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gorosgobe/regression-algorithms

Implementation of different regression algorithms in Java.

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ChristianYeo/Bermudan-Options-By-Regression

American-style options pricing using regression methods. Two methods have been implemented. The first one is the classical regression By Longstaff and Schwartz. The second one has been proposed by Carrière using Taylor expansion with integral remainder. The code I proposed is also designed to deal with multi-dimensional american-style option (best of call...).

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genchandenur/AI-SummerCamp22-Projects

AI Summer Camp '22 Projects

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m0h1t98/Cab-Fare-Prediction

This is a prediction machine learning model. In this project, my objective was to predict the fare of a cab based on time and daytime variance. I applied data cleaning, calculating the distance between the source and the destination. I implemented some ML regression algorithms and tested the score of the model

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raunak-shr/Machine-Learning-Implementation

Implementing Machine Learning algorithms from scratch and using libraries.

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M0ng00se7169/Regression-ML

Implementation of Linear Regression Algorithm for Machine Learning from my studies

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Sushmitha-93/CMPE275---Machine-Learning-Assigments-and-Labs

Machine Learning Course Topic wise Assignments and Projects

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rkshiyaniya/Data-Science-Machine-Learning-Projects

This Repository Contains different Machine Learning Projects on various dataset. From Exploratory Data Analysis - Visualization to Prediction and Classification..

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DSCKGEC/learn-machine-learn

A one-stop repository for new-comers in Machine Learning and A.I.

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sfoteini/Data-Analysis-Projects

These projects were part of the course Data Analysis (ECE Department, AUTH, 7th semester).

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apoorvaKR12695/Bike-Sharing-Demand-Prediction-

ML Supervised- Developed a regression model using algorithms such as Random Forest and XGBoost to predict the hourly demand of bikes.Performed hyperparameter tuning techniques and achieved R2 score of 92% using XGBoost model and reduced the public waiting time significantly.

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kdjun99/DSTermProject

데이터 과학 텀프로젝트 코드

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SabrinaSuraya/Project2-WorkerGarment

determine the worker garment productivity's. regression problem

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helyousfi/Machine-learning

This repo contains machine different learning algorithms.

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Xalt8/Windpower_Forecasting

Deep Learning for Windpower Forecasting

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karanchinch10/Oldcar_Sell_Regression

Predict Price of used cars | regression-problem

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rupalshrivastava/Linear-and-Logistic-Regression-by-implementing-gradient-decent-algorithm

Segmentation GPU Kernel Performance Dataset. Data Set Characteristics: Multivariate Number of Instances: 241600 Area: Computer Attribute Characteristics: Integer Number of Attributes: 18 Date Donated 2018-02-27 Associated Tasks: Regression Missing Values: N/A Number of Web Hits: 23721

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Akash-Ubale/Complete-Machine-Learning

My Machine Learning Repository

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TASIO852/Previsao-de-vendas

Previsao de vendas com os modelos de machine learn de regressao linear e arvore de decisao

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samyakmohelay/Bluebook-Bulldozer-Price-Regression

Bulldozer Price Predictor with the goal of predicting the future sale price of a bulldozer, given its characteristics previous examples of how much similar bulldozers have been sold for.

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blessing-mufaro/ML-Implementation-of-Multiple-Regression-in-Python

Implementation of Multiple Regression in Machine Learning

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srikhetramohanty/Data-Science-Portfolio

This is a repository created in line with my understanding & implementation of the major complex ideas in Machine Learning & Inferential Statistics while working as a data science professional in the industry.

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dosbolacademic/Heart-Failure-Prediction-Project-Heart-Failure-Prediction-

I used Linear Regression and Logistic Regression to predict predict when people will have mortality caused by heart failure. Also, I used turning hyperparameters for Logistic Regression and Rigo/Lasso for Linear Regression

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zahmed333/Enivironmental-R-Analysis-Activities

Practicing R in different Analytic activities.

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nickk124/TRK

Trotter-Reichart-Konz Regression: A Suite for Worst-Case Uncertainty Bayesian Regression in 2D.

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panambY/Rossmann_Store_Sale

Forecast sales using store, promotion, and competitor data

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MuthusaravananS/PSO-based-hybrid-Neural-network

Swarm based neural network for regression

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lucko515/regression-python

In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language

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nithin-sudarsan/Linear-Regression-from-scratch

Linear Regression build from scratch using numpy and pandas, visualized using matplotlib

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emilio027/King-s-County-Housing-Data-Linear-Regression-Analysis Fork of learn-co-curriculum/dsc-phase-2-project

The aim of this experiment in linear regression is to assess the fluctuation of prices of homes in Kings County, Seattle for a private equity firm focusing on real estate acquisitions

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naratiz/PrecoceMS

Projeto de Data Science aplicada a área da pecuária usando o método CRISP-DM.

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srishtipatkar/GDP-Predictor

Non Linear Regression Analysis

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srishtipatkar/CO2-emission-prediction

A simple machine learning model to predict the CO2 emission using a fuel consumption dataset which contains model-specific fuel consumption ratings and estimated carbon dioxide emissions for new light-duty vehicles for retail sale.

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noah-kg/predicting-seoul-bike-rentals

Exploring and analyzing data related to bike rentals in Seoul, South Korea. Applying machine learning methods to help predict rental counts.

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MIchelAshraf/California-Housing-Price-Prediction

Using Supervised Regression models(Linear Regression, Lasso, Ridge ,Elastic Net ) on the California Housing Dataset to predict the prices

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vladiant/MachineLearningUtils

Snippets and Utils for Machine and Deep Learning

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PSY6983-2021/picard_project

Repository for the Brainhack School 2021 project on predicting facial expression of pain from fMRI data.

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ritikasarkar18/Machine-Learning

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mohammedsaqlainattar/Python-for-Data-Science

Python for Data Science

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PabloJRW/real_state-regresssion

Predicción de los precios de viviendas mediante machine learning con algoritmo bosque aleatorio.

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rgdavies92/used-car-value

🚗 🚙 💰 Capstone ML project incorporating web scraping, regression modelling and novel use of the ELI5 package to obtain a used car value breakdown

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mlegas/Regression-HousePriceDataset-CSCM35-Data-Mining

Data cleaning of a dataset and comparison between regression algorithms.

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prablordeppey/website-neurlyai

Neural Nets and Deep Learning concepts and implementations applied to real-life data.

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maurcarvalho/ml-lab

USP, Data Science - Personal Lab about Statistical Machine Learning

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shurlz/Stores-Weekly-Sales-Forecasting

Using a couple of regression machine learning algorithms to try to predict weekly sales of different stores based off of various features. ----walmart dataset ---r2 score : 0.97

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elvanselvano/purwadhika-final-project

Final Project for Data Science Program at Purwadhika Digital School

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Ishan-Kotian/CO2-Emission-Regression-Techniques

If you liked my analysis, pls upvote my notebook!

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hiiakku/CRIME-KIOSK-

Crime Record Management and Crime Analysis

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claCase/Heteroskedasticity-DNN

Full Log-Likelihood Heteroskedastic Regression with Deep Neural Networks and Tensorflow

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surya8barca/DWM_mini_project

Data Warehouse and Mining Project to show the dataset analysis using Regression Alogrithm in Machine Learning

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NYXFLOWER/Machine-Learning

Notes and implementations for fundamental machine learning

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arsh1207/MLAlgorithms

This project is towards the completion of the course COMP6321 - Machine Learning

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mshedededen/Portfolio

Compilation of various data analysis and machine learning projects I have conducted.

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psalishol/used-car-price-in-united-state

A project to that aim to build a model to predict price one can buy or sell different Car model in the United State

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DataRohit/TPS-January-2022--Kaggle-Competition

Tabular Playground Series - Jan 2022. This Competition is Posted on Kaggle.com for practicing the EDA and Regression Skills.

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sghosal93/Kaggle_Ames_housing_price_regression

Regression analysis and predicting housing prices using the Kaggle Ames housing price dataset

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heal-research/HEAL.CFR

Continued Fraction Regression for .NET

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MCCiupek/bootcamp_ML

42IA Machine Learning Bootcamp

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