egaoharu-kensei/ML-algorithms-from-scratch.-Course-for-beginners

ML-algorithms from scratch using Python. Classic Machine Learning course.

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yacineMahdid/artificial-intelligence-and-machine-learning

A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

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Ananth09/House-price-Advanced-regression

Advanced Regression models on Real Estate dataset

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abhaypaii/compare-ml-algo-app

I use the LazyPredict python library to compare the time and memory usage of every regressor/classifier algorithm for a user's dataset

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G2Martins/EleicoesSP-2024-IA

Repositório criado para armazenar o projeto de previsão eleitoral de 2024, utilizando regressão logística multinomial. O modelo foi desenvolvido para prever a intenção de voto dos eleitores com base em características como idade, renda, escolaridade, região e gênero. Explorando dados fictícios, o projeto compara candidatos de diferentes espectros

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LaxmiChaudhary/Modeling-of-strength-of-high-performance-concrete-using-Machine-Learning

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ha7890846/mental_fitness_tracker

The Mental Health Fitness Tracker project focuses on analyzing and predicting mental fitness levels of individuals from various countries with different mental disorders. It utilizes regression techniques to provide insights into mental health and make predictions based on the available data.

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AliHaider5577/BikeSharing_Regression_MachineLearning

Bike Sharing (Rentals) machine learning regression to predict total rentals by considering features of dataset

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RogerioLS/Scikit-Learn

:mortar_board: Curso com os criadores do Scikit-Learn

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Candongo-Dev/Machine-Learning_Project-Heart-Disease-Dataset

Predicting Heart Disease with Python and Machine Learning. In this project, in the first part we will explore and prepare the data before starting the Machine Learning models. Let's try to predict which people have heart problems based on personal and health data. we use some Machine Learning models to make the predictions.

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aydinnyunus/KidemMaas

Basit Regresyon: Python ile Uygulama

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MirandaDataScience/Regressoes-Metodo-MonteCarlo

Durante a matéria de Cálculo foi dado o trabalho de realizar duas regressões, Polinomial com dados feitos de maneira exponencial e Logística com a base de dados 'Spam email', nesta regressão em específica foi necessária a redução da dimensão com PCA e por fim o método de monte carlo.

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shicoded/Mobile_price_perdiction

Mobile price perdiction with Linear Regression and Decision Tree

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ihalhashem/House-Prices-Prediction

Within this undertaking, a range of regression methodologies shall be explored in order to address a compelling conundrum.

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cymonyy/haptic-touch-dataset-analysis

This open source project is a notebook series for data collection, data pre-processing, exploratory data analysis, and machine learning processes on the haptic touch dataset collected from GetEmotion application.

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wlamirlima/regres-olinearempython

Criando modelo de regressão linear.

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adataschultz/UsedCars_Prices

Examine the features of used cars posted on CarGurus at different times and locations to predict the selling price

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ErenElagz/AMAZON-PRICE-PREDICTION-MACHINE_LEARNING

Future Price Prediction for Amazon Stocks usign Python and Polyninomal Reggression and Lineer Reggression

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rasmodev/Income-Prediction-Challenge-For-Azubian

This repository contains a model for predicting if an individual earns above or below an income threshold

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navkar/TensorFlow

machine learning algos

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saibharath2/linear-regression

linear regression

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SubhangiSati/Machine-Learning

This consists of various machine learning algorithms like Linear regression, logistic regression, SVM, Decision tree, kNN etc. This will provide you basic knowledge of Machine learning algorithms using python. You'll learn PyTorch, pandas, numpy, matplotlib, seaborn, and various libraries.

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mlk500/ML-Algorithms

In the project we built the following algorithms : Decision Tree Classifiier and Regressor, AdaBoost Classifiier , Gradient Boost Regressor

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allenw097/Springboard

Springboard Data Science Projects

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anjanatiha/Movie-Revenue-Rating-Prediction-from-IMDB-Movie-Data

Movie Revenue & Ratings Prediction Using 5000 IMDB Movies [Python, Machine Learning, GitHub]

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Gokulakkrizhna/singapore-resale-price

We use machine learning and data analysis to predict resale prices of Singapore flats. Our documentation covers data preprocessing, feature engineering, regression, and model selection. Discover how we improved predictions to optimize solutions.

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clementreiffers/clementreiffers-linear-regression

a npm package to compute linear regression in javascript

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FullMonkeyy/SineLinear-Regressor-C

Here you can find the code for realizing a Machine Learning linear regressor model which is combinated with an Sin wave...

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Gokulakkrizhna/industrial-copper-modelling

We leverage machine learning and data analysis to address real-world challenges in the copper industry. Our documentation encompasses data preprocessing, feature engineering, classification, regression, and model selection. Explore how we've enhanced predictive capabilities to optimize manufacturing solutions.

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aadams10046/Codecademy-Certification-Projects

Projects from the Learn SQL certification from Codecademy.

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Scorpion090/Machine-Learning-A-Z-Udemy-course

Complite Machine Learning With Python!

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itsVarun20/Company-Credit-Scoring-Prediction

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gm-gwu/machine-learning

My machine-learning projects (notebooks)

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Manjurkreddy/EndtoendML

Using this ML file can anyone develop any machine learning alogitham in regression. almost 99.99 percent all regression models has been used. We need to pick the best machine learning algoritham using this file. Cheers Manju.

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giuliabrambilla/wine-density-project

🍷 Python exercise using simple and multi-linear regression to predict wine density.

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Parin30/AI-ML-Projects

A collection of AI and ML projects demonstrating various techniques, algorithms, and applications.

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mbiot2022/Regression-Based-Assessment

A Regression-Based Assessment of Efficiency in Wireless Sensor Network Clustering energy efficiency study

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Ashleshad/WalmartSales

Machine Learning Project to predict ratings.

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danilo-assuncao/classifiers

Several machine learning classifiers in Python

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purvang2307/Car_Resale_Price_Prediction

This project aims to automate the task of predicting resale prices for cars using machine learning techniques.

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UjvalMadhu/Linear-Regression-Predicting-Life-Expectancy

Linear regression and Normal equation implementation of predicting the life expectancies in different countries.

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akkoyun/Statistical

Descriptive statistics such as mean, geometric mean, maximum, minimum, sample standard deviation and standard error, median, mode, coefficient of variation, and linear regression. Written for various data type arrays

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naiborhujosua/ML-Algorithm-ImplementationFromScratch

Most Favourite ML Algorithm Coded from Scratch using Python

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OlaPietka/Applied-Machine-Learning

Implementation of various of algorithms such as EM for Topic Modeling, High Dim. Classification, PCA, etc. described in "Applied Machine Learning" by David Forsyth

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bydmiller/TextWizards

This repository houses a collection of my natural language processing (NLP) projects, showcasing a variety of applications and experiments in the field. From sentiment analysis to language modeling, explore the power of NLP through my code. Feel free to use, modify, and contribute!

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brunodifranco/project-rossmann-sales

Predicting Rossmann sales six weeks in advance. Feel free to access the Telegram Bot in the link below.

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Snowapril/pnu-machine-learning-2021

Implementation of several machine learning algorithms, such as logistic-regression, linear-regression, k-Nearest-Neighbor, etc.

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sky9262/ML_Vehicle_Price_Prediction

Utilizing machine learning techniques, this project predicts vehicle prices based on features like age, fuel type, and more. Models include Linear Regression, Lasso Regression, and Random Forest. Dataset sourced from Kaggle.

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margorczynski/okkam

Using GA to search polynomials that fit a given dataset

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AP-State-Skill-Development-Corporation/Machine-Learning-Using-Python-EB3

This repo contains all the files that are discussed/created during machine learning using python online training program from 24 Aug 2020 to 02 Sept 2020

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AgungPramono/Product-Defect-Prediction-RL

Simulasi algoritma Regresi Linear untuk prediksi cacat software

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ukavlie/Supervised_Learning_Regression_Model

A supervised regression model that was a part of my Machine Learning Course at Hult International Business School.

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pratikbarjatya/DataScience

Data Science ML Repository

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vgees/AI-in-EHR-Data

Regression Model to predict the estimated hospitalisation for a patient to test a new drug for Diabetes using EHR data

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nileshparab42/Car-Dekho-Selling-Price-Prediction

A car price prediction model is a tool that uses historical data and other factors to predict the potential selling price of a specific car.

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calltech/multiple-linear-regression

Multiple Linear Regression

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01zhas/Cars-Price-Prediction

Прогноз цен на подержанные автомобили

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shubhamsawant0601/Data_Science_Projects

Data Science Projects

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dajimenezriv/machine_learning

https://dajimenezri.wordpress.com/

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WojciechMigda/Tsetlini

Efficient parallelized implementation of Multilabel Classifier and Regressor Tsetlin Machines

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alex-moreno/glitcherbot

Visual regression testing made easy. Automating the boring stuff

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jrguignan/Regresion_Lineal_simple_y_multiple

Práctica sobre la regresión lineal simple y múltiple usando ecuaciones (from scratch) y usando scikit-learn

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fuadh246/Machine-Learning

This repository contains machine learning algorithms and models implemented in Python for various tasks, providing a comprehensive resource for learning and experimentation in the field of machine learning.

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SeanAndrie/Kaggle-Playground-Series-Competitions

A series of notebook submissions I've done for the Kaggle Playground Series Competition.

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Akashkg03/Twitter-US-Airline-Sentiment-Analysis

This notebook involves sentiment analysis on US airline tweets dataset.

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Amarilli/credit-risk-classification

Machine learning model that predicts borrowers' creditworthiness using a dataset of historical lending activity from a peer-to-peer lending services company.

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BurpingGal/First_paper_

Machine Learning Applications in Predictive Modelling for Bicycle Rentals, Leveraging Regression Algorithms, Historical Data, and Technical Indicators Analysis

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leticiabalbi/Data-Analysis-ENEM

Análise de dados de notas de redação do ENEM em escolas da região Norte nos anos de 2005-2015.

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Abdumajidhu/Classification-and-Regression-using-sklearn

Regression and Classification task with sklearn.

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RAVI-CHANDRIKA-05/PREDICTING_PROBABILITY_OF_PAYING_BLIGHT_TICKETS

This repository contains files on Predict probability whether a given blight ticket will be paid

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StarkTony2056/ml-mini-projects

A topic-wise collection of mini projects implementing basic machine learning concepts through python. Originally implemented in Google colab notebooks.

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Sarthak-Mohapatra/Building-Algorithm-from-scratch-for-prediction-of-Average-GPU-run-time-and-classifying-the-run-type.

As part of this project, I have developed algorithms from scratch using Gradient Descent method. The first algorithm developed will be used to predict the average GPU Run Time and the second algorithm will be used to classify a GPU run process as high or low time consuming process.

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mraabhijit/DiamondPricePrediction

End-to-end Machine learning Project using Linear Regression for Diamond Price Prediction

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IvanVigor/Local-Fusion-Dynamic-Weighted-Ensemble

This repository contains an implementation for the Dynamic Weighted Ensemble (DWE) - Local Fusion method. Local Fusion is an ensemble techinque that could be used to improve predictions by weighing appropriately the single models contribution.

Language: Python - Size: 131 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 0

UkiDLucas/MarketIndicators.jl

A set of Jupyther notebooks for processing Market Indicators from the Web for predicting market movements. Julia, Python, TuriCreate DNN

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martinlyngerasmussen/auto_regressor

Autoregressor: simple and robust time series model selection

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saicharan1312/covid-19-prediction

A complete Django web application on COVID-19 time series outbreak prediction.By analysing daily confirmed,daily deceased,total deceased.We are going to predict total confirmed and total deceased using multi linear regression.

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faustvg/Statistical-Analysis-Air-Quality-Mexico

Model for forecasting temperatures and the main pollutants present in Mexico's atmosphere based on data from (2011-2022).

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kaiquefreire05/regression-vector-support

- My first tests using support vectors for regression.

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kaiquefreire05/regression-decision-tree

- My first tests using decision trees for regression.

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kaiquefreire05/polynominal-regression

- My tests using polynomial regression.

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kaiquefreire05/multiple-linear-regression-ml

- My learning with multiple linear regression.

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kaiquefreire05/simple-linear-regression-ml

- My learning with simple linear regression and metrics to classify the results.

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Sean3216/Tabular-Projects

This repo contains several of my projects/experiments about tabular data analysis

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Sarvandani/Machine_learning-deep_learning_11_algorithms-of-regression

sklearn, tensorflow, random-forest, adaboost, decision-tress, polynomial-regression, g-boost, knn, extratrees, svr, ridge, bayesian-ridge

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MalteArnold/machine-learning

Projects involving basic machine learning algorithms.

Language: Python - Size: 508 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

yugwangyeol/2023-HD-AI_Challenge

[Competition] HD AI Challenge, 항만 선박 시간 대기, 센서 데이터를 활용한 중량 예측

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KalyanM45/Diamond-Price-Prediction

Diamond Price Prediction with MLOps: A comprehensive end-to-end project for predicting diamond prices using machine learning and MLOps techniques.

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SrinivasanM7/Industrial-Copper-Modeling

Domain : Manufacturing | Predicting Selling Price and Status(Won or Lost) using Regression and Classification Models

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wasifijaz/Artificial-Intelligence-Python-Implementation

From basic python coding to implementing Artificial Intelligence algorithms in python

Language: Python - Size: 38.1 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

AmirInt/ridgie

As part of the UCSanDiego online course "Machine Learning Fundamentals"

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AlpMercan/Digit-Recognizer-Challenge

Machine learning project for digit recognizer challenge in Kaggle using just numpy, no TF. %85 accuracy

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abhijitpaul0212/Restaurant-Rating-Prediction

This project focuses on building a restaurant rating prediction model using machine learning techniques. The model aims to predict ratings of restaurant based on various demographic and restaurant-customer-related features

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akashkam559/Flight-Ticket-Fare-Prediction-Flask-WebApp

Flight-Ticket-Fare-Prediction-Flask-WebApp

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Ddeepanshu-997/polynomial_regression_in-machine_learning

In this project i am performing the polynomial regression on the given dataset , initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e polynomial regression

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mukund-23/Hackerearth-ML-Contest

Source codes and data files for machine learning contests on Hackerearth.

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KhushiBhadange/Regression-Model-Flight-Dataset

Explore predictive modeling with this repository, featuring regression-based models applied to a comprehensive dataset on flight delays and cancellations. Gain insights into factors influencing air travel disruptions and leverage regression techniques to enhance predictions.

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BalajiN743/Simple-Linear-Regression

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sachink1729/Regression-Algorithms

This is my college practice work, where i try to learn and cover all the regression algorithms (preferably in python)

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ahmad-sohrabi/regression_classification

It is a project with 2 parts. The First Part is a Regression & the second part is a classification problem. Datasets are obtained from Kaggle.

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