GitHub topics: sklearn-metrics | Ecosyste.ms: Repos

Arko-Sengupta/Know-Genius

Know-Genius an AI Chatbot who's a General Knowledge Genius!

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sorna-fast/Machine_learning_predicts_laptop_prices

About This is a project on the laptop store dataset to predict laptop prices. Random Forest and XGBRegressor machine learning models are used.

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aymanmomin/Facebook-Ego-Network-Analysis-for-Political-Outreach-Optimization

Analyzing Facebook ego networks to identify influential users and communities for optimizing political advertising. Leverages network science techniques (Louvain communities, centrality metrics, threshold models) to simulate influence spread.

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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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Gaurav0502/electricity-forecasting

Forecasting daily electricity consumption 💡 with Portuguese weather data on precipitation 🌧️ and temperature 🌡️

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nestalii/model-metrics

Analysis of artificial intelligence models based on metrics

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FaisalAhmed21/Movie-Recommendation-System

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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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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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SevilayMuni/Multivariate-TimeSeries-Forecast-LSTM-Apple-Google-Stocks

Complete guide to create robust LSTM models for forecasting stock price

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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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Aliakbar-omidi/Iris-practice-project

This project is a test modeling for the Iris flower dataset

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Anubhavkumar31/simple-heart_disease_prediction-using-logisticRegression

Its a simple yet good model which predicts if a person have heart disease or not. This is a binary classification model i.e its output is either 0(dont have heart disease) or 1 (have heart disease).

Language: Python - Size: 4.88 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

pranava007/AI_ML_Support_Vector_Machine_Classification

Support_Vector_Machine_Classification

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pranava007/AI_ML_Random_Forest_GridCV_Regrssion

Random Forest GridCV Regression

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pranava007/AI_ML_Ada_Boost_Regression_Insurance-charge

AdaboostRegression

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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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kk26nav/Brain-Tumor

Brain Tumor Classification Using YOLOv8

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tmfreiberg/HAM10000-skin-lesion-classification

HAM10000 Skin Lesion Classification

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Singhvishal003/Movie-Recommendation

Movie Recommendation system to Recommend movies .

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Singhvishal003/Hybrid-Recommended-System

Hybrid Recommendation system Combines collaborative and content-based filtering.

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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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aranzadata/CarPricePredictor

Se desarrolló un modelo de predicción de precios de autos con una precisión de 0,84 y un tiempo de predicción de 1 segundo,

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jagadishdas21/Breast-Cancer

My Project on Breast Cancer Prediction using a Logistic Regression Model. In this project, I developed a predictive model to assist in breast cancer risk based on various input features. This work has strengthened my understanding of machine learning and data analysis techniques. Feel free to explore the code and insights!

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YVandana/Brain-Tumor-Detection-And-Classification

Bachelor's Major Project- Presented at ICMISC 2022

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Ahmed-AI-01/NLP

this repo will include all my work regarding NLP

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harmanveer-2546/Ad-Click-Prediction-Analysis-and-Insights

To predict whether a user will click on ad or not.

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Kamakshi4023/Brain-Tumour-Detection

ML based project which uses various techniques to build a hybrid model for identifying brain tumour in MRI images

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RoshniRanaDS27/SKLEARN-Credit_Risk_Prediction-Supervised_ML

SKLEARN-Credit Risk Prediction Using Logistic Regression Model, ML, Confusion Matrix, classification Report

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manjugovindarajan/RENEWIND-predictive-maintenance-cost-maintenance-usingML

The aim is to decrease maintenance cost of generators used in wind energy production machinery. This is achieved by building various classification models, accounting for class imbalance, tuning on a user defined cost metric (function of true positives, false positives and false negatives predicted) & productionizing model using pipelines

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MohidulHaqueTushar/Classification-Algorithms-Economies-Grew

Run three different classification algorithms for explaining whether region's economies grew by more than 5% based on the data provided. Standard goodness measures for classification algorithms also included.

Language: Python - Size: 150 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

MohidulHaqueTushar/Forecasting-Time-Series

Machine/Deep Learning Concepts in Time Series Context!

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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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chandkund/Housing-Price-Prediction

Predict housing prices using the Boston Housing Dataset. Covers data loading, cleaning, preprocessing, EDA, normalization, standardization, and regression models (Linear Regression, Decision Tree, Random Forest, Extra Trees). Evaluated with Mean Squared Error (MSE). Tech: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.

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nakulmitra/Vegetation-Classification-based-on-Leaf-Pattern

Identify the class of leaves by extracting the features from it. Using Convolutional Neural Network.

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Osamaz123/Maintainance-cost-reduction-through-through-predictive-techniques-using-ml

Machine Learning model on highly imbalanced dataset for preventive maintenance by identifying potential failures before they occur, thereby reducing downtime and maintenance costs.

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Hugo-Hattori/Property_Price_Prediction_Machine_Learning

Machine Learning Project to create an AI capable of predicting property's rental prices.

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pthmhatre/StyleScribe-Using-Generative-Adversarial-Network

A fashion AI-based model capable of generating images from textual descriptions. The model should take natural language text as input and generate images that visually represent the given text. This text-to-image generation system bridges the gap between textual descriptions and visual content.

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4702chahat/Rock-Vs-Mine

This Project is based on Machine Learning which uses Logistic Regression model for predicting whether the object detected by Submarine is Rock or Mine

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LeftCoastNerdGirl/Presenting_ML_Data Fork of guzznag/Project_4

This capstone project demonstrated the ability to collaborate on a presentation of data using Machine Learning techniques.

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Niteshchawla/LoanTap-LogisticRegression

Given a set of attributes for an Individual, determine if a credit line should be extended to them. If so, what should the repayment terms be in business recommendations?

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santoshn86/Image-Classification

This is an end-to-end project wehre I have used my friends images dataset for Image classification using logistic regreesion. It's applications may be used in Security and Surveillance, Criminal's classification & detection .

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Rachnathakur1997/Python_Project

This github repository contains practice assignments on Python !

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abeed04/Bank-Credit-Risk-Model-using-Machine-Learning

Robust credit risk model that go beyond traditional credit scoring methods in banks

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shohail-DeV/Ai-Medical-Model

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tgchacko/Customer-Segmentation---Purchasing-Behavior

Customer-Segmentation---Purchasing-Behavior

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JamesMathitha/Data-Analysis-Portfolio

This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.

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2512ayushcad/Fake_News_prediction

Machine learning model

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chrssz/Classification-Support-Vector-Machine

Implementation of Support Vector Machine, and Random Forest Model using sklearn

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miirshe/NLP-projects

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dpassos91/milesinthesky_project2

Data Science: Machine Learning analysis of B2B website Visits and Purchase Patterns

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miguelsiloli/CPBS-TSA-Forecast

Dummy TSA Forecast dashboard using statsmodel, sklearn and streamlit

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Sans03J/Car-Price-Prediction

A diverse dataset comprising various car attributes such as mileage, model year, brand, and more, our predictive model employs to accurately forecast the prices of audi car. From data preprocessing to model training and evaluation, our repository provides code implementation, enabling users to understand and replicate our results seamlessly.

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shaktisingh25/Lead-Scoring-Case-Study-Group-

Case Study

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janvikheni04/Fake-News-Prediction

Machine Learning Model

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pratiksha2712/Personal-Loan-Prediction

A classification model to predict those who will likely accept the offer of a new personal loan , by analyzing the previous historical campaign's customer behaviour data.

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Hugo-Hattori/Watercraft_Values_AI_Prediction

Data Science Project.

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prakHr/NeuralNetworksAndFuzzyLogic

[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic

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mounishvatti/machine_learning-Football-Prediction-

This repository consists of prediction of the football team winners using historical data with the help of machine learning algorithms

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alaa-aleryani/Credit_Risk_Classification

We used various techniques to train and evaluate a model based on loan risk. We used a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.

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saikrishnabudi/Random-Forests

Use Random Forest to prepare a model on fraud data. Treating those who have taxable income <= 30000 as "Risky" and others are "Good" and A cloth manufacturing company is interested to know about the segment or attributes causes high sale.

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saikrishnabudi/Naive-Bayes

Data Science - Naive Bayes Work

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Shipra-09/ML-Project-Random-Forest

This Github repository contains projects related to prediction with Random Forest Classifier. Exploring Insights/Inferences by performing EDA on the given project data (Company Sales).

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Shipra-09/ML-Project-Decision-Tree

This Github repository contains projects related to prediction with Decision Tree. Exploring Insights/Inferences by performing EDA on the given project data (Iphone purchase).

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Shipra-09/ML-Project-KNN-Classification

This Github repository contains projects related to KNN classification. Exploring Insights/Inferences by performing EDA on the given project data (Iphone purchase and Bangalore house price).

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saikrishnabudi/Multi-Linear-Regression

Data Science - Multi Linear Regression Work

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Logambal05/Industrial-Copper-Modelling

Sales and pricing data that is subject to noise and skewness are managed with difficulty thanks to the Copper Industry Sales and Leads Prediction Project. In the industry, manual forecasts can be inaccurate and time-consuming. The creation of machine learning models is the main goal of this project in order to overcome these obstacles.

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ab-aruneswaran/CAR_PRICE_PREDICTION

This is a python project for building a linear regression model that is used to predict used car prices from a given dataset using machine learning.

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Vaidehinaik11/Gender_classification

Classifying the person as male or female based on hairs, forehead size, nose shape, lips shapes, ect. using ML models

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BrunoGianetti/MyMachineLearningProjects

My project storage in Machine Learning

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swagatika15/TEXT-CLASSIFICATION

The aim of this project is: 1.Perform Text Classification using Multinomial Naive Bayes 2. Implement Naive Bayes from scratch for Text Classification. 3. Compare Results of self implemented code of Naive Bayes with one in Sklearn. dataset used is 20_newsgroups

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ashishyadav24092000/XGBClassifier_titanicSurvivors

In this problem i have tried to explain how XGB algorithm works in case of classification. I have also stated the accuracy score at the end for our XGBClassifier model. The confusion matrix has also been shown for the same. I have used the Kaggle Dataset - Titanic Survivors csv file.

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vaitybharati/Recommendation-Engine

Recommendation-Engine

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MezbanS/Mercedes-Benz-Greener-Manufacturing

Reduce the time that cars spend on the test bench. Work with a dataset representing different permutations of features in a Mercedes-Benz car to predict the time it takes to pass testing. Optimal algorithms will contribute to faster testing, resulting in lower carbon dioxide emissions without reducing Mercedes-Benz’s standards.

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SampathHungund/Diabetes-Prediction-Using-Machine-Learning

Language: Python - Size: 1.95 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

marlevek/segmentacao-de-clientes

Segmentação de usuários de E-Commerce com base em seus comportamentos e características usando 3 técnicas de machine learning: Random Forest, XGBoost e Redes Neurais.

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MYoussef885/Gold_Price_Prediction

The "Gold Price Prediction" project focuses on predicting the prices of gold using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, Random Forest Regressor, and others, this project provides a comprehensive solution for accurate price estimation.

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MYoussef885/Diabetes_Prediction

The "Diabetes Prediction" project focuses on predicting the likelihood of an individual having diabetes using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), and Support Vector Machines (SVM), this project offers a comprehensive solution for accurate classification.

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MYoussef885/Rock_VS_Mine_Prediction

The "Rock vs. Mine Prediction" project focuses on predicting whether an underwater object is a rock or a mine using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), and logistic regression, this project provides an end-to-end solution for accurate classification.

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GunturWibawa/CustSegmentInsurance

Sure Tomorrow used machine learning to tackle challenges. I assessed its efforts to identify clients for marketing, forecast the chance of new client claims, and ensure better predictive performance, all while safeguarding client privacy without affecting previous models.

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AShirsat96/Univariate_Linear_Regression_SKLEARN

Univariate Linear Regression using sklearn on Diabetes Dataset

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bcamandone/ProyectoML_MasterPontia

Proyecto de machine learning que consiste en desarrollar un sistema de detección de transacciones fraudulentas.

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angelicavelez/find_better_place_to_oil_well

Create a model that helps choose the region with the highest profit margin.

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shanuhalli/Assignment-Multi-Linear-Regression

Prepare a prediction model for profit of 50 startups data and Consider only the some columns and prepare a prediction model for predicting Price.

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shanuhalli/Assignment-Logistic-Regression

Predicting Customer Response to Telemarketing Campaigns for Term Deposit. Output variable Whether the client has subscribed a term deposit or not.

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shanuhalli/Assignment-Naive-Bayes

Prepare a classification model using Naive Bayes for salary data.

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shanuhalli/Assignment-KNN

Prepare a model for glass classification using KNN and Implement a KNN model to classify the animals in to categorie.

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shanuhalli/Assignment-Decision-Trees

Use decision trees to prepare a model on fraud data. Treating those who have taxable income <= 30000 as "Risky" and others are "Good" and A cloth manufacturing company is interested to know about the segment or attributes causes high sale.

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shanuhalli/Assignment-Random-Forest

Use Random Forest to prepare a model on fraud data. Treating those who have taxable income <= 30000 as "Risky" and others are "Good" and A cloth manufacturing company is interested to know about the segment or attributes causes high sale.

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shanuhalli/Assignment-Neural-Networks

Predict the Burned Area of Forest Fire with Neural Networks and Predicting Turbine Energy Yield (TEY) using Ambient Variables as Features.

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shanuhalli/Assignment-Support-Vector-Machines

Classify the Size Categorie using SVM - the burned area of the forest (Small, Large) and Prepare a classification model using SVM for salary data.

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rochitasundar/Predictive-maintenance-cost-minimization-using-ML-ReneWind

The aim to decrease the maintenance cost of generators used in wind energy production machinery. This is achieved by building various classification models, accounting for class imbalance, and tuning on a user defined cost metric (function of true positives, false positives and false negatives predicted) & productionising the model using pipelines.

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SmellyArmure/OC_DS_Project4

Anticipation des besoins en consommation électrique de bâtiments (OpenClassrooms | Data Scientist | Projet 4)

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shivtosh/ensemble-learning

This repository includes the implementation of stacking individual ML models Random forests as an ensemble techniques.

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Anas436/Weather-Claasifiers-using-Naive-Bayes-with-Python

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harshit1531/Mercedes-Benz-Greener-Manufacturing

Reduce the time that cars spend on the test bench. Work with a dataset representing different permutations of features in a Mercedes-Benz car to predict the time it takes to pass testing. Optimal algorithms will contribute to faster testing, resulting in lower carbon dioxide emissions without reducing Mercedes-Benz’s standards.

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