Akshitkaushik/sentiment_analysis

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alvinadar/Decision-Tree

Decision Tree Implementation -Prediction of enjoy hiking

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harshineeshree/Machine-Learning

About This Repository A curated resource hub for learning machine learning, featuring tutorials, code examples, datasets, and hands-on projects to build foundational skills and explore real-world applications.

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bansalkanav/Ultimate-Data-Science-Toolkit---From-Python-Basics-to-GenerativeAI

Language: Jupyter Notebook - Size: 564 MB - Last synced at: 8 days ago - Pushed at: 20 days ago - Stars: 904 - Forks: 296

Jonthmiranda/Neural-Stocks

Estudo de IA no mercado financeiro para prever valor de mercado usando modelo preditivo de rede neural

Language: Python - Size: 24.4 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

ksachdeva/scikit-nni

AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI

Language: Python - Size: 11.7 MB - Last synced at: 2 days ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 3

azaz9026/Medicine-Recommendation-System

A Medicine Recommendation System in machine learning (ML) is a software application designed to assist healthcare professionals and patients in selecting the most appropriate medication based on various factors such as medical history, symptoms, demographics, and drug interactions

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paulo-santos-ds/churn

Este projeto tem como objetivo desenvolver um modelo capaz de prever se um cliente está prestes a deixar um banco fictício. Para isso, são analisados dados sobre o comportamento passado dos clientes e rescisões de contratos com o banco

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Ewenwan/Kaggle

kaggle 比赛 使用sklearn进行kaggle数据竞赛基础及实践

Language: Python - Size: 38.4 MB - Last synced at: 14 days ago - Pushed at: about 6 years ago - Stars: 8 - Forks: 9

Nirva-Patel/Multi-Domain-Predictive-Analytics

This project focuses on training and testing machine learning models on multiple datasets to identify the best-performing model. It analyzes model behavior across data types using metrics like accuracy, precision, recall, and F1-score to determine the most effective configuration.

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cesl11/online_customer_purchase_discard_analysis

Big-Data experimentation project with Machine Learning (ML) using XGBM, Logistic Regression and Decision Trees.

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KasiMuthuveerappan/LoanTap-LogisticRegression

📔 This repository delves into Logistic Regression for loan approval prediction at LoanTap. It covers data preprocessing, model development, evaluation metrics, and strategic business recommendations. Explore model optimization techniques such as confusion matrix, precision, recall, Roc curve and F1 score to effectively mitigate default risks.

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transitive-bullshit/scikit-learn-ts

Powerful machine learning library for Node.js – uses Python's scikit-learn under the hood.

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vineet416/Chronic-Kidney-Disease-Prediction

This repository contain code of Chronic Kidney Disease Detection Prediction Project. The goal of this project is predict the chronic kidney disease using parameters like Diabetes Mellitus, Blood Urea, Sugar, Hypertension etc.. I used multiple machine learning algorithms with hyperparameter tuning which is having highest accuracy score of 97.5

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lohitya/Data-Analysis---ML

Data Analysis & ML (Python)

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suraj5424/Stacking-library

A powerful ensemble learning class that supports multi-layer stacking and blending models for regression tasks, with K-fold cross-validation and hold-out validation set options, for robust model performance.

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Krishnasarathy/SDA-Student-Dropout-Analysis-

In India, particularly in states like Gujarat, school dropout rates are a major concern. To help address this issue, we developed a machine learning-based solution that analyzes the key factors behind student dropouts.

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nikhilfuke1/Wine-Quality-Prediction-Support-Vector-Machine-Python-Projects

This project focuses on predicting the quality of wine using a Support Vector Machine (SVM) model. The model is trained on wine characteristics and aims to classify wines based on their quality score.

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dadaloop82/MyHomeSmart-HASS-AppDeamon

I have a dream: to give HomeAssistant the ability to reason and perform actions logically and comprehensively, using AppDaemon, Sklearn, and Decision Tree.

Language: Python - Size: 1.36 MB - Last synced at: 16 days ago - Pushed at: almost 3 years ago - Stars: 58 - Forks: 3

golh30/seat-availability-predictor

Real-time tracking and predictive analytics for bus seat availability using Streamlit and PostgreSQL.

Language: Python - Size: 948 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

cerentkn04/python-math

practice for python libraries

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neerajcodes888/Data-Science

This repository is a hub for data science enthusiasts, offering a diverse collection of projects, notebooks, and resources covering topics such as data analysis, machine learning, deep learning, and generative AI. Explore innovative ideas, contribute to cutting-edge research, and enhance your skills in the dynamic field of data science

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RickyDoan/Machine-learning-Risk-Model-Prediction-Classification

This project leverages machine learning to provide insights into loan and credit risk. By analyzing user-provided financial data, it predicts the likelihood of loan default, generates a credit score, and assigns a risk rating. Designed to assist financial institutions and individuals in making informed decisions

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FatimatuzzahroMutmainnah/Predictive-Maintenance-for-Industrial-Equipment

This project focuses on Predictive Maintenance for industrial equipment using machine learning. The goal is to predict potential machine failures before they occur, enabling proactive maintenance and reducing downtime.

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shridhar1504/Sales-Forecasting-Datascience-Project

Develop a data science project using historical sales data to build a regression model that accurately predicts future sales. Preprocess the dataset, conduct exploratory analysis, select relevant features, and employ regression algorithms for model development. Evaluate model performance, optimize hyperparameters, and provide actionable insights.

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mustafadanabasi/Python-OneHotEncoder-Sample

OneHotEncoder : Kategorik verileri "binary" (0 ve 1) sütunlarına ayırır. Her benzersiz kategori için ayrı bir sütun oluşturur. Özellikle sıralı olmayan kategorik değişkenler için uygundur.

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RoTantos/ML-projects

Includes various ML projects created for educational purposes.

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ArtZaragozaGitHub/ML--P2_Predicting_Loan_Purchases

Anticipating Loan-Eligible Bank Customers with a High Probability of Successfully Purchasing a Bank Loan.

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ArtZaragozaGitHub/NLP--P6_Sentiment_Analysis_and_Summarization_of_Stock_News

Natural Language Processing AI-model driven sentiment analysis system that will automatically process and analyze news articles to gauge market sentiment, and summarizing the news at a weekly level to enhance the accuracy of their stock price predictions and optimize investment strategies.

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shashi-0504/Movie-Recommendation-System

A Movie Recommendation System in Machine Learning suggests movies based on user preferences including content based as well as collaborative filtering.

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matheusAFONSECA/Deploy-ML-models-with-Streamlit-Udemy

This repository is dedicated to storing the code developed during the "Machine Learning Model Deployment with Streamlit" course on Udemy. The course covers basic to advanced techniques for deploying machine learning models using Streamlit.

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Hajaarh/malaria_hematie_cnn

Algorithme de réseaux de neurones convolutionnels

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esvs2202/Car-Price-prediction_-hackathon-

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Sadia-Sultana-Tithi/ARI-prediction-analysis

Using machine learning to predict acute respiratory infections among under-fives in Bangladesh. This study analyzes differences between rural and urban populations using DHS data to develop tailored health interventions and improve early detection in diverse settings.

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mohiteamit/ticket-classification

Banking Ticket Classification | Natural Language Processing | UpGrad | IIITB

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CamilaJaviera91/bagging-with-kaggle

Code in which an initial approach to decision trees and bagging will be made, and an attempt will be made to ensure that the model can be trained with any dataset coming from Kaggle (for this, we will again use the 'connect with Kaggle' project).

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OriolPalacios/Datacamp-RentalDVDinfo-Project

DVD Rental Prediction leverages regression models to forecast rental duration, guiding optimal inventory management for DVD rental companies. It combines data visualization, feature engineering, and model evaluation within a Jupyter Notebook to deliver actionable insights.

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Prarthana-Singh/Car_Price_Predector

Language: Python - Size: 4.01 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

MMEnock/DEH-Cleaning-and-Machine-Learning-Project

This repository showcases the steps taken to clean and finall produce a predictive pax load factor machine learning Model

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vvaldesc/TFC_api_stats

Advanced Statistics and Predictions API for My Final Project

Language: Python - Size: 4.46 MB - Last synced at: 13 days ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

abeed04/Hotel-bookings-prediction-using-Machine-Learning

Random forest algorithm can be used to analyze hotel booking data and predict booking behavior. This allows hotels to optimize pricing strategies, staffing, and identify potential cancellations for proactive guest communication.

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azevedontc/scikit-learnLibrary

scikit-learn Library (sk-learn) / Biblioteca scikit-learn (sk-learn)

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AbhishekYadav915/Breast_Cancer_Classification_Using_Deep_Learning

This project demonstrates Breast Cancer Classification using a deep learning model built with TensorFlow and Keras. The model is trained on the Breast Cancer Wisconsin Dataset and predicts whether a tumor is Benign (1) or Malignant (0).

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ElenaZ93/credit-risk-classification

Machine learning project to predict credit risk using logistic regression. The analysis involves training a model on financial data, evaluating its performance, and providing insights into credit risk prediction.

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Baschin1103/Principal_component_analysis

In this repository you find a python program and the prints and 3D-visualization of it. After the KNN-Classification I wanted to know which variables have the most relevance for the results. One approach for this is the Principal-Component-Analysis (PCA). More details in the python program as comments.

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NoveliaYuki4982/ML-root_finder

Project that trains different ML models to find the best one at finding the root of a sentence given a free tree.

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hamidhosen42/A-Graph-Machine-Learning

Graph-Machine-Learning. Graph Machine Learning provides a new set of tools for processing network data and leveraging the power of the relation between entities that can be used for predictive, modeling, and analytics tasks.

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Ari-S-123/DS-3000-Final-Project

Predicts consumer behavior in online commerce using Machine Learning Algorithms.

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abhishekpsonawane07/Restaurant-Review-Sentiment-Analysis

Sentiment analysis of restaurant reviews using logistic regression. Predicts positive or negative sentiment and tracks review statistics with a user-friendly interface.

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SohamRider786/House_Price_Predictor

A machine learning project to predict house prices based on various property features using advanced regression techniques. This project demonstrates end-to-end model development, including data preprocessing, feature engineering, model training, evaluation, and visualization.

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abu14/Loan-Eligibility-Prediction

The idea for this project and analysis is to predict whether a person is likely to receive a loan based on personal, financial, and other relevant factors

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Ranjan2104/Uber-Rides_Prediction-by-using-ML---Flask

Uber Technologies, Inc., commonly known as Uber, is an American technology company. Its services include ride-hailing, food delivery (Uber Eats), package delivery, couriers, freight transportation, and, through a partnership with Lime, electric bicycle and motorized scooter rental. The company is based in San Francisco and has operations in over 900 metropolitan areas worldwide. It is one of the largest firms in the gig economy. so that i Make this Project so company can pred there weekly as well as monthly rides pred that can company help to mange there rides info correctly

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alisson-t-bucchi/pizza_price_predictor_ml

Project using Machine Learning and LLM from .csv file to predict a pizza value based on each ingredient added.

Language: Python - Size: 169 MB - Last synced at: 29 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

GauravSakure02/Project_Titanic_EDA

This Project includes Exploratory Data Analysis of the Titanic Dataset

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rikrdinii1/statistical-analysis-project Fork of ta-data-mexpt/statistical-analysis-project

Proyecto 5 del Bootcamp DA Ironhack

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taskin-saadman/Intro-to-Machine-Learning

Basic example of using Decision Tree Regressor to predict housing prices in Melbourne using pandas and sklearn

Language: Python - Size: 554 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

chandkund/Predicting-Diabetes-Onset

The "Predicting Diabetes Onset" project aims to build a machine learning model that predicts whether an individual has diabetes based on various health-related features. The dataset used for this project includes attributes related to medical history and physical measurements.

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HalilDeniz/data-transmission-and-machine-learning

Data Transmission and Machine Learning with Client-Server Model

Language: Python - Size: 676 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

arbinzaman/Vehicle-Image-Detection-Model

This is image detection model about vehicles for Machine Learning Lab

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SarveshDhond/Statistical_Analysis

This project is part of a graded assignment where I have showcased my Python and data analysis skills.

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AnovaYoung/Predictive-Modeling-with-NYC-Traffic-Data

This project examines NYC traffic data and leverages predictive modeling to identify issues, aiming to provide actionable recommendations for the NYC Council Committee to reduce automobile injuries and fatalities.

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farahbakhsh3/Framingham_Heart_Study

Framingham Heart Study - using ML

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coder5omkar/Simple-Linear-Regression

Linear regression is one of the most fundamental algorithms in machine learning and statistics used for predicting a continuous dependent variable (target) based on one or more independent variables (features). The key idea behind linear regression is to find the relationship between variables by fitting a straight line through the data points.

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abhipatel35/ML-Regression-Lifecycle

Explore the complete lifecycle of a machine learning project focused on regression. This repository covers data acquisition, preprocessing, and training with Linear Regression, Decision Tree Regression, and Random Forest Regression models. Evaluate and compare models using R2 score. Ideal for learning and implementing regression use cases.

Language: Python - Size: 27.3 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

kalebers/Economic_Analysis_Data_Science

Data Analysis Python project using economic data base to predict percentage of good and bad payers

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GirishKolhe/Bike-Sharing-Multiple-Linear-Regression-Assignment

Assignment for building a linear regression model for predicting the demand for bike sharing

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pranava007/AI_ML_OPTICS_Clutering

OPTICS

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pranava007/AI_ML_HDBSCAN_Clutering

HDBSCAN

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praju-1/Machine_Learning

Exploring Machine learning with its supervised and unsupervised algorithm and subtypes also.. All algorithm implemented in python With proper description of each Dataset used.

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pranava007/AI_ML_Clustering_Agglomerative

Clutering Agglomerative

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lijesh010/ML_Project_Car_Price_Prediction_using_LinearRegression

This repository presents a data-driven exploration into predicting car prices using a machine learning model based on linear regression, aimed at aiding a Chinese automobile company's entry into the competitive US market.

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pranava007/AI_ML_CKD_ClassificationGridCV

Classification GridCV

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pranava007/AI_ML_Navie-Bayes_Classification

Navie Bayes Classification

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pranava007/AI_ML_KNN_Classification

K Nearest Neighbor Classification

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pranava007/AI_ML_Logistic_Regression_Classification

LogisticRegression Classification

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pranava007/AI_ML_RF_Without-Train-and-Test-Data_regression

Without train and test data

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pranava007/AI_ML_DecsionTree-GriedCV_Regression

DR-Grid regression

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pranava007/AI_ML_SVR-GriedCV_Regression

GriedCV

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pranava007/AI_ML_Ada_Boost_Regression_Insurance-charge

AdaboostRegression

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pranava007/AI_Insurence_Charges_Predict_ML

Regression_RondomForest

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Harsh0713/SMS-Spam-Classification

The "SMS Spam Classification" project aims to develop a machine learning model to automatically identify and classify SMS messages as either spam or legitimate (ham).

Language: Jupyter Notebook - Size: 815 KB - Last synced at: 16 days ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

pranava007/AI_Decision_Tree_ML

This is Decision Tree ML

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pranava007/AI_Support_Vector_Machine_Kernal-linear_ML

This is a Support Vector Machine

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pranava007/AI_in_Business_Intelligence_and_Analytics_ML

AI_in_Business_Intelligence_and_Analytics

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pranava007/AI_Salary_Prediction_ML_Regression_Model

This is AI_Salary_Prediction_ML_Regression_Model

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hamdaniqhmqd/test-deploy-streamlit

Language: Python - Size: 14.6 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

samalyarov/telegram_monitor

A telegram channel parser + binary text classifier utilizing a simple logistic regression model

Language: Jupyter Notebook - Size: 135 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Rushabh75/Hand-Motion-Detection

This is a simple hand motion detection code where the model will detect particular motions like Swiping Left, Swiping right and zoom in.

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danielarodriguez4/ModeloAI-Produccion

Este proyecto busca completar la formación del curso Introducción a la IA llevando un modelo predictivo a un estado listo para que sea integrado en sistema de producción.

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fayzi-dev/machin_learning

Machin Learning Full Algorithm (Linear Regression, Decision tree, Random forest, Neural network ,Logistic regression ,Support vector machine ,Naive Bayes ,Clustering, XGBoost,DBscan,KMeans)

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Juwono136/predictive-analytics-machine-learning-model

Predictive Analysis using a Comparison of Three Machine Learning Algorithms (KNN, Random Forest, and Boosting Algorithm) to Predict Home Selling Prices.

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isaqueiros/NewspaperSoldOut-predictions-Logistic_Regression

This notebook is a study of the application of sklearn Logistic Regression model and analysis of metric quality with a focus on the impact of imbalanced data. The problem presented is the analysis of sales of newspapers of a local stand in order to classify the probability of the newspaper being Sold Out or Not, given a set of features.

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rvigneshwaran/sklearn-implementations

This repository contains the implementation of various algorithms in Machine learning using sklearn library

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kevin-rsj/Real-Estate-Investments

Sistema de scoring que clasifica ciudades francesas para inversión en segundas viviendas según perfil de riesgo(alto, moderado y bajo). Evalúa ratios clave en áreas como demanda, disponibilidad, infraestructura, demografía y precios.

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f3riend/color-palette

a system that counts and clusters the most common colors in images and produces a color palette.

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Jimmymugendi/Email-sms-Spam_Classifier

Email SMS Spam Classifier is a cutting-edge machine learning solution designed to combat spam messages in email and SMS communications. Leveraging advanced Natural Language Processing (NLP) techniques, the system preprocesses text data by tokenizing, removing stopwords, and stemming, ensuring the most accurate classification results.

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mdsayem01k/ML-core-Algo

Language: Python - Size: 66.4 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

heidelbergcement/hcrystalball

A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.

Language: Python - Size: 10.9 MB - Last synced at: about 10 hours ago - Pushed at: about 1 year ago - Stars: 151 - Forks: 20

isaqueiros/NewspaperSales-predictions-LinearRegression_and_Regularisation

This notebook is a study on the sales of newspapers of a local stand, with intention to predict the newspaper sales performance based on the different features available. For this, 4 sklearn models are applied: Linear Regression, Lasso Regression, Ridge Regression and Elastic Net Regression.

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isaqueiros/MotorPremium-predictions-MLPClassifier

This Jupyter Notebooks is an initial study of the application of sklearn neural network MLP Classifier model. The model is applied to dataset MotorPremiums, which is supplied separately in .csv format.

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