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GitHub topics: sklearn-library

Sdhandre/Cinematch_AI

AI CineMatch AI is an intelligent movie recommender system built using machine learning and natural language processing. It’s designed to help users discover movies tailored to their personal preferences—based on genre, language, keywords, and more

Language: Python - Size: 6.47 MB - Last synced at: about 6 hours ago - Pushed at: about 7 hours ago - Stars: 0 - Forks: 0

OfficialYapper/Project-Credit-Risk-Analysis

German Credit Data - 1994

Language: Jupyter Notebook - Size: 2.42 MB - Last synced at: about 9 hours ago - Pushed at: about 10 hours ago - Stars: 0 - Forks: 0

DineshDhamodharan24/Data_Science_Final_Project

Customer Insights & Recommendation System: Harnessing Decision Tree, Logistic Regression, and Random Forest models for behavior analysis. Utilizing EasyOCR and Python Imaging Library for image information extraction. Employing NLTK for sentiment analysis on textual data

Language: Jupyter Notebook - Size: 21.1 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

dae9999nam/COMP3314

This repository is to study Machine Learning using Python and Pythons libraries (e.g. scikit-learn, numpy, pandas, matplotlibs)and contains course materials as well. All the rough works will be included in the repository.

Language: Jupyter Notebook - Size: 62.5 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1 - Forks: 0

naveenk-DS/Car_Price_prediction

🚗 Car Price Prediction This project predicts car prices based on various features using machine learning techniques such as Linear Regression. It's a beginner-friendly project for Data Science learners.

Language: Jupyter Notebook - Size: 3.18 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Akshitkaushik/sentiment_analysis

Language: Jupyter Notebook - Size: 38.6 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

pratikkatkar-13/EHS_Fertility_Crop_Prediction

This project takes input as 14 micro nutrients values of soil and API based climatic parameter (Temperature, Humidity, Rainfall) on location based to predict Fertility level and Crop accordingly.

Language: Jupyter Notebook - Size: 2 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

supremkc05/Medical-Insurance-Charges-predictor

This project is a Streamlit web application that predicts medical insurance charges based on user inputs such as age, sex, BMI, number of children, smoking status, and region. It uses a machine learning model trained on real insurance data to provide fast and accurate cost estimates.

Language: Jupyter Notebook - Size: 631 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

jarif87/campus-placement-predictor

A smart Flask app that predicts campus placements and gives tips based on user input.

Language: Jupyter Notebook - Size: 2.09 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 17.2 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 564 MB - Last synced at: 8 days ago - Pushed at: 17 days ago - Stars: 920 - Forks: 298

FaisalAhmed21/CSE427-Machine-Learning

Language: Jupyter Notebook - Size: 2.36 MB - Last synced at: 6 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

felixamaladhas/Customer_Segmentation_Market_Basket_Analysis

Apply customer segmentation using unsupervised learning and perform market basket analysis to uncover purchasing patterns from the Online Retail dataset.

Size: 559 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

iswaryalaxmis/Featurization-Model-Selection-Tuning

Language: Jupyter Notebook - Size: 289 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

thecoderr13/ml-boston-house-pricing

A machine learning web application that predicts Boston house prices using a Linear Regression model

Language: Jupyter Notebook - Size: 1.64 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

nirmit27/ds-and-ml

Learning how to crunch numbers and mimic human beings. 🤖

Language: Jupyter Notebook - Size: 12.5 MB - Last synced at: 30 days ago - Pushed at: 30 days 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: 2 days ago - Pushed at: over 1 year ago - Stars: 150 - Forks: 20

Dharmeshgadhiya161/Netflix-Movies-and-TV-Shows-Clustering-Unsupervised-ML

Netflix Movies and TV Shows Clustering Unsupervised ML

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

sorna-fast/fraud-detection

Predicting transaction fraud using classification problems such as Guardian Boosting as well as user interfaces using Streamlite

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

shubh637/Coronavirus-Outbreak-Prediction-using-ML

This project focuses on predicting coronavirus outbreaks using machine learning techniques, specifically Support Vector Machines (SVM). The model analyzes various features related to COVID-19 cases to predict the likelihood of an outbreak in different regions.

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

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)

Language: Jupyter Notebook - Size: 9.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

dripta-majumdar/Canada-s-per-Capita-income-Prediction-Single-Variable-

The data has been collected from the World Bank website. The predictions made by my model, of the per capita income of Canada in US $ has been provided in a csv file. Linear Regression algo has been used to make the predictions

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

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.

Language: Python - Size: 11.7 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

transitive-bullshit/scikit-learn-ts

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

Language: TypeScript - Size: 10.1 MB - Last synced at: 28 days ago - Pushed at: 7 months ago - Stars: 195 - Forks: 5

lohitya/Data-Analysis---ML

Data Analysis & ML (Python)

Size: 4.79 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

abhay-sinha-0/CarPricePredictionProject

A machine learning project that predicts the selling price of a car based on its features such as year, mileage, fuel type, transmission, and more. This model can assist individuals and dealerships in estimating fair market prices for used cars.

Size: 212 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

alvinadar/Decision-Tree

Decision Tree Implementation -Prediction of enjoy hiking

Language: Jupyter Notebook - Size: 63.5 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

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: 2 months ago - Pushed at: 2 months 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: about 23 hours 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

Language: Jupyter Notebook - Size: 405 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 22 - Forks: 5

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

Language: Jupyter Notebook - Size: 429 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

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: 2 months ago - Pushed at: over 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.

Language: Jupyter Notebook - Size: 950 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

cesl11/online_customer_purchase_discard_analysis

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

Language: Jupyter Notebook - Size: 467 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 16.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 1

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

Language: Jupyter Notebook - Size: 3.15 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

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.

Language: Python - Size: 15.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Shaik-Sohail-72/Iris-Flower-Type-Prediction-and-Classification-with-ML-and-MERN

Iris flower type prediction and classification with machine learning and MERN web I/O system. This project predict the type of iris flower by using machine learning . K-NN algorithm is used for multiclass classification.

Language: EJS - Size: 283 KB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

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.

Language: JavaScript - Size: 10.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

MuhammedMorad/House-Prices-Predictions

This project aims to predict house prices based on various features such as area, number of bedrooms, bathrooms, access to main road, and more. The model uses linear regression and standard scaling for input data.

Language: Jupyter Notebook - Size: 669 KB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 105 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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: 3 months ago - Pushed at: about 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: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

cerentkn04/python-math

practice for python libraries

Language: Python - Size: 1.96 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

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

Language: Jupyter Notebook - Size: 1.61 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 5

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.

Language: Jupyter Notebook - Size: 1.95 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

RoTantos/ML-projects

Includes various ML projects created for educational purposes.

Language: Jupyter Notebook - Size: 304 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

ArtZaragozaGitHub/ML--P2_Predicting_Loan_Purchases

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

Language: Jupyter Notebook - Size: 1.49 MB - Last synced at: 8 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 5.27 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 3.89 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

msadeqsirjani/eeg-based-epilepsy-detection

Examining EEG brain signals of people with epilepsy

Language: Jupyter Notebook - Size: 21.5 MB - Last synced at: 29 days ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.9 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Hajaarh/malaria_hematie_cnn

Algorithme de réseaux de neurones convolutionnels

Language: Jupyter Notebook - Size: 555 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

esvs2202/Car-Price-prediction_-hackathon-

Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1

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.

Language: Jupyter Notebook - Size: 5.84 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

mohiteamit/ticket-classification

Banking Ticket Classification | Natural Language Processing | UpGrad | IIITB

Language: Jupyter Notebook - Size: 13.8 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

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).

Language: Python - Size: 523 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

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.

Language: Jupyter Notebook - Size: 300 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Prarthana-Singh/Car_Price_Predector

Language: Python - Size: 4.01 MB - Last synced at: 4 months ago - Pushed at: 5 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

Language: Jupyter Notebook - Size: 2.85 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

vvaldesc/TFC_api_stats

Advanced Statistics and Predictions API for My Final Project

Language: Python - Size: 4.46 MB - Last synced at: 2 months ago - Pushed at: 4 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.

Language: HTML - Size: 1.35 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 2 - Forks: 0

azevedontc/scikit-learnLibrary

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

Language: Jupyter Notebook - Size: 4.85 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

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).

Language: Jupyter Notebook - Size: 77.1 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 923 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

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.

Language: Python - Size: 136 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 2.38 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

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

Predicts consumer behavior in online commerce using Machine Learning Algorithms.

Language: Jupyter Notebook - Size: 44.1 MB - Last synced at: 4 days ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

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.

Language: Jupyter Notebook - Size: 706 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 41 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 604 KB - Last synced at: 5 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

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

Language: CSS - Size: 4.88 KB - Last synced at: 4 months ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 0

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: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

GauravSakure02/Project_Titanic_EDA

This Project includes Exploratory Data Analysis of the Titanic Dataset

Language: Jupyter Notebook - Size: 202 KB - Last synced at: 17 days ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

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

Proyecto 5 del Bootcamp DA Ironhack

Language: Jupyter Notebook - Size: 5.58 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

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: 5 months ago - Pushed at: 5 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.

Language: Jupyter Notebook - Size: 679 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

HalilDeniz/data-transmission-and-machine-learning

Data Transmission and Machine Learning with Client-Server Model

Language: Python - Size: 676 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

arbinzaman/Vehicle-Image-Detection-Model

This is image detection model about vehicles for Machine Learning Lab

Language: Jupyter Notebook - Size: 156 MB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

SarveshDhond/Statistical_Analysis

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

Language: Jupyter Notebook - Size: 1000 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 950 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

farahbakhsh3/Framingham_Heart_Study

Framingham Heart Study - using ML

Language: Jupyter Notebook - Size: 340 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 164 KB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

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: about 1 month 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

Language: Jupyter Notebook - Size: 4.21 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

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

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

Language: Jupyter Notebook - Size: 3.34 MB - Last synced at: 22 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

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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Related Keywords
sklearn-library 686 python 268 machine-learning 259 pandas 216 numpy 185 python3 133 matplotlib 104 sklearn 89 seaborn 86 machine-learning-algorithms 80 data-science 80 logistic-regression 76 jupyter-notebook 73 matplotlib-pyplot 64 linear-regression 59 random-forest 42 pandas-dataframe 41 pandas-library 38 data-visualization 38 classification 36 tensorflow 29 decision-tree-classifier 29 pandas-python 29 deep-learning 28 numpy-library 27 neural-network 26 data-analysis 26 random-forest-classifier 25 eda 24 flask 23 confusion-matrix 23 regression 22 decision-trees 22 scikit-learn 22 exploratory-data-analysis 22 classification-algorithm 21 sklearn-metrics 21 streamlit 20 naive-bayes-classifier 20 regression-models 19 ml 18 nlp 18 kmeans-clustering 18 machinelearning 17 nlp-machine-learning 17 supervised-learning 16 seaborn-plots 16 gridsearchcv 15 artificial-intelligence 15 natural-language-processing 15 nltk-library 15 xgboost 14 plotly 14 visualization 14 knn-classification 14 data 14 prediction 14 svm-classifier 14 pca 13 statsmodels 13 feature-engineering 13 keras-tensorflow 13 sentiment-analysis 12 xgboost-algorithm 11 hyperparameter-tuning 11 nltk-python 11 joblib 11 iris-dataset 11 kaggle 10 tensorflow2 10 standardscaler 10 svm 10 streamlit-webapp 10 ai 10 nltk 10 random-forest-regression 9 scipy 9 accuracy-score 9 unsupervised-machine-learning 9 pickle 9 dataset 9 train-test-split 9 supervised-machine-learning 9 knn-classifier 9 keras 9 decision-tree 9 preprocessing 9 lasso-regression 9 machinelearning-python 9 clustering 9 sklearn-classify 9 k-means-clustering 8 statistics 8 feature-selection 8 data-analytics 8 predictive-modeling 8 knn 8 kaggle-competition 8 python-3 8 support-vector-machines 8