gamingmk289-ux/Diabetes-Prediction-using-Machine-Learning

💡 Predict diabetes risk using machine learning by analyzing medical history and demographic data, aiding healthcare professionals in patient assessment.

Language: Python - Size: 92.8 KB - Last synced at: about 16 hours ago - Pushed at: about 17 hours ago - Stars: 0 - Forks: 0

Akshitvats026/Heart_Disease_Prediction

An ML-based Heart Disease Prediction System that predicts the likelihood of heart disease based on user health parameters. Built using Python, Pandas, and Scikit-learn, the system performs data preprocessing, trains a predictive model, and provides real-time predictions with high accuracy.

Language: Jupyter Notebook - Size: 677 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

skrdp700/Ecommerce-Product-Categorization

📊 Classify e-commerce products into accurate top and bottom categories using a robust machine learning pipeline for improved organization and searchability.

Language: Jupyter Notebook - Size: 2.72 MB - Last synced at: 2 months ago - Pushed at: 2 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: about 2 months ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0

quan104/Random-Forest-Wine-Quality-Prediction

Predict wine quality using the Random Forest algorithm. Explore physicochemical properties with Python and popular libraries. 🍷🌿

Language: Jupyter Notebook - Size: 161 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Thommyfr/Logistic-Regression-Rock-Mine-Prediction

Rock vs Mine prediction using Logistic Regression. This project utilizes Python, Jupyter, and libraries like scikit-learn, NumPy, and Pandas. 🚀🔍

Language: Jupyter Notebook - Size: 55.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

NhanPhamThanh-IT/Random-Forest-Wine-Quality-Prediction 📦

🍾 A comprehensive machine learning project using Random Forest algorithm to predict wine quality based on physicochemical properties. Features EDA, model training, hyperparameter tuning, feature importance analysis, and detailed documentation.

Language: Jupyter Notebook - Size: 166 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

NhanPhamThanh-IT/SVM-Diabetes-Prediction 📦

🩺 Machine Learning diabetes prediction model using Support Vector Machine (SVM) classifier. Analyzes 8 medical features (glucose, BMI, age, etc.) from Pima Indian dataset to predict diabetes risk with 75-80% accuracy. Built with Python, scikit-learn, pandas. Includes data preprocessing, model training, and prediction system for diabetes..

Language: Jupyter Notebook - Size: 46.9 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

NhanPhamThanh-IT/Rock-Mine-Logistic 📦

Machine learning project using logistic regression to classify sonar signals as either rocks or mines. Uses scikit-learn to train a binary classifier on sonar dataset with 60 numerical features for accurate underwater object detection.

Language: Jupyter Notebook - Size: 53.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Kumpatlapavankumar/Medical-Insurance-Cost-Estimation-Using-Machine-Learning

Using python,numpy,pandas,seaborn,matplotlib and machine learning techniques

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

SHANMUKHASA/Endoscopic-Image-Based-Identification-of-Gastrointestinal-Abnormalities-Using-CNNs

MATLAB project for identifying gastrointestinal abnormalities in endoscopic images using CNNs

Language: MATLAB - Size: 2.26 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

Simran0192004/Healthy_Lifestyle_Predictor

Built a smart KNN Classifier to predict whether a person’s lifestyle is *Healthy*, *Moderate*, or *Unhealthy* based on daily habits like sleep, hydration, and screen time. Achieved **100% accuracy* on clean test data.

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

SaketJha-323/Liver_Cirrhosis_Stage_Detection_System

Liver Cirrhosis Stage Detection System Using Random Forest and XGBoost with Stacking Classifier

Language: Jupyter Notebook - Size: 13.9 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

imildositoe/car_pedestrian_lidar_data_processing

Object detection, classification, and tracking using LiDAR data collected by a Blickfeld Cube 1 sensor.

Language: Python - Size: 18.6 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

Aliakbar-omidi/Brain-Tumor-Detection

This project focuses on detecting and classifying brain tumors (NonDemented, Very Mild Demented, Mild Demented, Moderate Demented)

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: 28 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

362heavy/Liver_Cirrhosis_Stage_Detection_System

This repository contains a system for detecting the stage of liver cirrhosis using historical patient data. It employs machine learning to analyze key medical indicators and classify patients into three distinct stages. 🦠📈

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mahaseva/Mobile_Phone_Pricing_Prediction_System

# Mobile Phone Pricing Prediction SystemThis project predicts the price range of mobile phones based on their specifications. Using a dataset with features like battery power and RAM, we classify phones into four price categories. 🛠️📱

Language: Jupyter Notebook - Size: 677 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Prachi319/Credit-card-fraud-detection-using-Logistic-regression

Machine learning project (logistic regression)

Language: Jupyter Notebook - Size: 94.7 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

SaketJha-323/Mobile_Phone_Pricing_Prediction_System

Mobile

Language: Jupyter Notebook - Size: 674 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Aliakbar-omidi/Sentiment-Review

Language: Jupyter Notebook - Size: 28.1 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Zahit2121/Machine-Learning-Templates-for-Data-Cleaning-Data-Visualization-Data-Preprocessing-Model-Training

This repository offers templates for machine learning tasks, focusing on data cleaning, visualization, preprocessing, and model training. Each template provides clear steps and code snippets to streamline your workflow and improve project efficiency.

Language: Jupyter Notebook - Size: 1.96 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

krishnaura45/predict-obesity-levels

📚Obesity Risk Detection 🧩Gradient Boosting 🔧Hyperparameter Tuning

Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

sfansaria/Instagram-Reach-Analysis

Analyzing Instagram Reach

Language: Jupyter Notebook - Size: 3.25 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

ImAliShaikh/Machine-Learning-Templates-for-Data-Cleaning-Data-Visualization-Data-Preprocessing-Model-Training

Language: Jupyter Notebook - Size: 2.08 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

mehtadigisha/Iris-Flower-Classification

Iris Flower Classification

Language: Jupyter Notebook - Size: 283 KB - Last synced at: 4 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

TheDataTenno/Churn-Prediction

A machine learning project to predict customer churn using classification models with SMOTE and hyperparameter tuning."

Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

niladrighosh03/Classification---Comparison-of-Supervised-Machine-Learning-Algorithms

This project explores supervised machine learning algorithms for heart disease prediction using the UCI Heart Disease Dataset. Various classification models like KNN, SVM, Logistic Regression, Decision Trees, Random Forest, Naïve Bayes, Gradient Boosting, and XGBoost are implemented and compared based on accuracy, precision, recall, and F1-score.

Language: Jupyter Notebook - Size: 4.46 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

shubhamgoyal575/ECommerce-Product-Categorization

This project classifies e-commerce products into predefined categories using machine learning. It includes preprocessing steps like stopword removal, punctuation cleaning, and feature extraction. Models, including LSTM, are implemented, and evaluated for better accuracy.

Language: Jupyter Notebook - Size: 6.75 MB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

labrijisaad/Twitter-Sentiment-Analysis-with-Python

I aim in this project to analyze the sentiment of tweets provided from the Sentiment140 dataset by developing a machine learning sentiment analysis model involving the use of classifiers. The performance of these classifiers is then evaluated using accuracy and F1 scores.

Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: 7 months ago - Pushed at: about 2 years ago - Stars: 10 - Forks: 2

BatthulaVinay/phone-usage-analysis

This project analyzes phone usage patterns in India and predicts the primary use of mobile devices based on various features. The notebook covers data preprocessing, exploratory data analysis (EDA), and model training using multiple classification algorithms.

Language: Jupyter Notebook - Size: 1.29 MB - Last synced at: 7 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

priyanka7411/emotion-detection-streamlit

Emotion Detection from Uploaded Images

Language: Jupyter Notebook - Size: 6.64 MB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

anushkundu/Churn-Prediction

Telecom Customer Churn Prediction Using Machine Learning!

Language: Jupyter Notebook - Size: 615 KB - Last synced at: 8 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

MelRojas/Spam-Filter

Size: 144 KB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

ranvikhalar/LCR Fork of UofT-DSI/LCR

Classification - KNN Classifier

Language: Jupyter Notebook - Size: 151 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Ansh2709/DL-potato-disease-classification

Useful to predict the disease in potato leaves thus can predict disease like early blight and late blight used CNN,tensorflow etc

Language: Jupyter Notebook - Size: 3.15 MB - Last synced at: 7 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

AsadAhmed29/Heart-Attack-Analysis-with-different-Classifiers

The Heart Attack Prediction project uses machine learning to predict heart attack risk based on clinical data. After implementing algorithms like Logistic Regression, SVM, KNN, and Random Forest, the Random Forest model achieved 92% accuracy. Key predictors, such as maximum heart rate and chest pain

Language: Jupyter Notebook - Size: 1.95 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

squaredev-io/whitebox

[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes

Language: Python - Size: 21.2 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 183 - Forks: 5

Vibhore-sagar/credit_card_fraud_Detection

Machine learning model for Credit Card Fraud Detection

Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: 7 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Tanwar-12/No-Churn-Telecom

This project focuses on predicting customer churn in the telecom industry using machine learning techniques. The model is trained to identify factors that influence customer retention and accurately predict whether a customer is likely to stay or leave.

Language: Jupyter Notebook - Size: 7.14 MB - Last synced at: 4 days ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

maheera421/Heart-Disease-Diagnosis-Model

A machine learning project designed to predict the likelihood of heart disease based on a set of health indicators.

Language: Jupyter Notebook - Size: 1020 KB - Last synced at: 7 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Tanzim-prog/sentiment_analysis_ml_stringdata

The motive of this project is to find out the customer satisfaction of some residential hotels of Dhaka.

Language: Python - Size: 139 MB - Last synced at: 5 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

HirudikaAnupama/Email-Spam-Detection-Logistic-Regression

This model can predict whether an email is spam or not. The logistic regression machine learning algorithm is used to train this model.

Language: Jupyter Notebook - Size: 2.8 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

aarryasutar/Logistic_Regression_on_Age_Prediction

This code evaluates the performance of a logistic regression model on age prediction using various features to predict a binary target variable, calculating metrics to determine the performance. It evaluates the comparison, identifies favorable features, and visualizes the ROC-AUC curve to determine the best model performance.

Language: Jupyter Notebook - Size: 191 KB - Last synced at: 7 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

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

Language: Jupyter Notebook - Size: 48.8 KB - Last synced at: 7 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Jimmymugendi/bulding-a-decision-tree-to-predict-customer-churn

This repo desribes bulding a decision tree to predict customer churn in a given organisation

Language: Jupyter Notebook - Size: 141 KB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Fiza-102/Password-Strength-Prediction

This model predicts the strength of the password by using NLP ( TF-IDF ).The purpose of using tf-idf is to reduce the influence of tokens that are experimentally less informative than characteristics that appear in a small portion of the training corpus and occur often in a particular corpus.

Language: Jupyter Notebook - Size: 23.4 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Simran2911/Flight-Price-Pridiction

This github repositiory contains the Flight Price Prediction project aims to develop a machine learning model to predict flight ticket prices based on various factors such as departure and arrival locations, dates, airlines, and other relevant features.

Language: Jupyter Notebook - Size: 920 KB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

sultanazhari/decisive-model-with-high-profit-potential-and-low-risk

OilyGiant mining company finding the best place for 200 new well points, As an Data Scientist we're creating a model who can choose the best 200 point by profit and risk.

Language: Jupyter Notebook - Size: 12.1 MB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sultanazhari/prediction-model-of-customers-leaving

Bank Beta Company focus on retain existing customers, our task is to create a model that predicts whether or not a customer will leave the bank soon.

Language: Jupyter Notebook - Size: 584 KB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sultanazhari/Customer-habit-analysis-model

Megaline company wants to develop a model that can analyze consumer behavior and recommend one of Megaline's two new plans: Smart or Ultra. In this classification task, we need to develop a model that is able to choose the right package

Language: Jupyter Notebook - Size: 122 KB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

muhammad3245571106/Student-Grade-Prediction

This is the Data Mining Porject for predicting the grade of student before the final examination and before the Mid 2 examination. I use Python and Jupyter Notebook for this Project.

Language: Jupyter Notebook - Size: 730 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Neermita18/Kaggle_challenges

1) Pima_Indians_Diabetes_dataset: 83.11% accuracy. 2) Using ScanPy for gene expressions in scRNA sequencing. 3) Using traditional clustering on RNA dataset 4) Stroke Prediction 95% accuracy on test

Language: Jupyter Notebook - Size: 19.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

rchandu23/Spam_Mail_Prediction

Spam Mail Prediction using Machine Learning

Language: Jupyter Notebook - Size: 241 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jmarihawkins/classification-challenge

The purpose of this project is to develop and compare two machine learning models to detect spam emails. Spam detection is a crucial task in email filtering systems to protect users from unwanted and potentially harmful emails. The project involves using a dataset containing various features extracted from email content.

Language: Jupyter Notebook - Size: 12.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Ninad077/Machine_Learning-KNN_algorithm

Content: Machine Learning, KNN concept, Euclidean distance, Data preprocessing, Scaling the data, Performing train-test split, Applying KNeighbors Classifier, Predicting Y_pred based on X_test, Evaluation using Confusion Matrix, Accuracy score, Recall value & Precision, Underfitting & Overfitting, Measures to overcome Underfitting & Overfitting

Language: Jupyter Notebook - Size: 496 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

shubhambhatia2103/Twitter-Sentiment-Analysis

This project develops a deep learning model that trains on 1.6 million tweets for sentiment analysis to classify any new tweet as either being positive or negative.

Language: Jupyter Notebook - Size: 110 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

e-paj/Machine-Learning-Projects-in-Python

This repository contains all the Machine Learning projects I did using different Machine Learning methods. Python being the main software used.

Language: Jupyter Notebook - Size: 7.88 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

dorianDraper/Titanic-shipwreck

Exploratory data analysis exercises to understand the main characteristics of a given data set before performing more advanced analysis or further modeling

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Ninad077/Machine_Learning-Logistic_Regression

Content: Machine Learning, Logistic regression steps, Probability matrix, Confusion matrix, Accuracy score, Recall value, Data preprocessing, Label encoding, Scaling the data, Splitting train test data, Running Logistic Regression, Y prediction on test data, Class imbalance, Type 1 & Type 2 errors.

Language: Jupyter Notebook - Size: 898 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Bramitha-gowda-M/DiabetesPrediction_SVMModel

Crafted a machine learning model employing Support Vector Machine (SVM) algorithm to anticipate diabetes patterns using the diabetic prediction dataset. Dive into predictive analytics with this insightful project! 📊🔍

Language: Jupyter Notebook - Size: 977 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

kpsijil2/Bank-Note-Analysis

Predicting Bank note genuine or not.

Language: HTML - Size: 533 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Gopika-S-Nair/Machine-Learning---Classification

This repository contains Machine Learning Classification algorithms implementation

Language: Jupyter Notebook - Size: 456 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

SheikhEbadaBinAshraf/SMS-Spam-Classifier-App-Using-LogisticRegression

This SMS Spam Classifier App is a powerful and efficient tool designed to identify and filter out unwanted spam messages from your text messages. Using advanced machine learning algorithms

Language: Jupyter Notebook - Size: 295 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Shipra-09/Project-Vehicle-Insurance

This Github repository contains cross selling of health insurance customers on vehicle insurance product. We have to predict whether a customer would be interested in Vehicle Insurance or not by building a ML model. Exploring Insights/Inferences by performing EDA on the given project data. Finding the high accuracy

Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

fischlerben/Machine-Learning-Credit-Risk

Machine-Learning project that uses a variety of credit-related risk factors to predict a potential client's credit risk. Machine Learning models include Logistic Regression, Balanced Random Forest and EasyEnsemble, and a variety of re-sampling techniques are used (Oversampling/SMOTE, Undersampling/Cluster Centroids, and SMOTEENN) to re-sample the data. Evaluation metrics like the accuracy score, classification report and confusion matrix are generated to compare models and determine which suits this particular set of data best.

Language: Jupyter Notebook - Size: 18.9 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 9 - Forks: 2

YaminiGhumre/company_data_prj_9

company_data_prj9

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

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).

Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

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).

Language: Jupyter Notebook - Size: 827 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

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).

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Shipra-09/ML-Project-Logistic-Regression

This Github repository contains projects related to Logistic regression. Exploring Insights/Inferences by performing EDA on the given project data (Bank Term deposit).

Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

SumanKOLKATA/Prediction-with-Binomial-LOgistic-Regression

👨‍💻👨‍💻 Bank deposit prediction model by Binomial Logistic Regression

Language: Jupyter Notebook - Size: 523 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

anapysasi/ML_final_project

In this project, we aim to identify different fruits: apples, bananas, oranges, and tomatoes; through different Machine Learning algorithms: CNN, XGBoost, InceptionV3 transfer learning, and VGG16 transfer learning

Language: Python - Size: 1.97 GB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

Thenx0009/Spam_Classifier_Project

A spam classifier is a software or machine learning model that categorizes incoming messages or content as either "spam" (unwanted or irrelevant) or "ham" (legitimate or relevant), using automated techniques.

Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Tech-Amol5278/ML_Models_Evaluator

This performs of evaluation of machine learning models with ease and provides the visualization

Language: Python - Size: 16.6 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

elmezianech/ClassifyReviews_NLP

Revolutionize customer feedback analysis with our NLP Insights Analyzer. Utilize cutting-edge text preprocessing to transform raw reviews into a machine-friendly format. Explore sentiment models, such as Logistic Regression and Naive Bayes, employing cross-validation for model robustness.

Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: 8 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Warpedro1/Machine-learning-behind-the-curtain

This dataset was used to learn more about how some machine learning models work: KNN, Naive Bayes, and Decision Tree. It also includes some model evaluation metrics: Precision, Recall, Accuracy, and F1-Score. These metrics were derived from the confusion matrix.

Language: Jupyter Notebook - Size: 74.2 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 46.9 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

ashishyadav24092000/Detect_Parkinson_XGBOOSTCLASSIFIER

Detecting Parkinson Using extreme gradient boosting(XGBOOSTING) Algorithm.

Language: Jupyter Notebook - Size: 26.4 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

ashishyadav24092000/Accuracy_confusionMAtrix_logisticRegression

It calculates the accuracy score and confusion matrix for a logistic regression model. The dataset is about coupon used or not in an apparel store known as Simmons .

Language: Jupyter Notebook - Size: 2.24 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Saurabhkhandebharad/ML-SK

Machine Learning Projects!

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Mathurshab2210/Ml_with_Mathur

Here are some fun projects to learn ML using Handson approach

Language: Jupyter Notebook - Size: 2.71 MB - Last synced at: 5 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

ajitsingh98/Evaluation-Metrics-In-Machine-Learning-Problems-Python

evaluation metrics implementation in Python from scratch

Language: Jupyter Notebook - Size: 372 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

kk289/Stock_Price_Prediction

Stock Price Prediction of APPLE Using Python

Language: Python - Size: 1.03 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 1

kk289/Predicting-Credit-Defaults

Machine Learning: Group Project

Language: R - Size: 980 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

gopiashokan/Diabetes-Prediction-using-Machine-Learning

Experience predictive healthcare with our Streamlit app. Utilizing Random Forest, our tool analyzes medical data to assess diabetes risk swiftly. Ideal for healthcare professionals and researchers, this user-friendly app simplifies risk evaluation. Join us in the fight against diabetes.

Language: Python - Size: 88.9 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

crosstherubicon/Implementation_of_Neural_Network

Implementing Neural Network on Irish data - evaluating accuracy, Mean Squared Error (MSE), Crossentropy and log-likelihood

Language: Python - Size: 2.12 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

MissSindani/Cheap-or-Expensive-Cars-Classification

Language: Jupyter Notebook - Size: 266 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Masihsoniya/House-price-prediction

Predicting house price

Language: Jupyter Notebook - Size: 211 KB - Last synced at: 6 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

indrapaul824/Sem-3-Project-TMDb-Movie-Analysis-and-Modeling

A Preprocessing, Analytical and Modeling Case Study using Supervised ML Models

Language: Jupyter Notebook - Size: 5.16 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

iamkirankumaryadav/Iris

Iris Data : Classification / Pattern Recognition, Predict the Class of Flower based on Available Attributes.

Language: Jupyter Notebook - Size: 125 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

iamkirankumaryadav/Improvement

Improving a Machine Learning Model

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iamkirankumaryadav/Churn

Customer Churn Prediction

Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 2

Subhajeet-Das/Netfilix-Stock-Price-prediction

Here we are trying to predict the closing price of the particular Netflix stock on a given trading day.

Language: Jupyter Notebook - Size: 297 KB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

indrapaul824/Coronary-Heart-Disease-Prediction

This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project

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LorenzoRottigni/ML-sentiment-analysis

Machine Learning course of Piero Savastano 4: CountVectorizer, BernoulliNB, accuracy_score, pandas

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LorenzoRottigni/ML-iris

Machine Learning course of Piero Savastano 2: DecisionTreeClassifier, accuracy_score

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LorenzoRottigni/ML-wines

Machine Learning course of Piero Savastano 6: scaling, MinMaxScaler, KNeighborsClassifier, accuracy_score

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abiflynn/supervised_machine_learning

Language: Jupyter Notebook - Size: 2.24 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

MArya80/Australia-Weather-Prediction

The model should predict whether is it going to rain the next day coming or it isn't. The models that have been deployed were TensorFlow Sequential, Random Forest Classifier and GradientBoostingClassifier. The best model on both training and test set was achieved with Gradient Boosting Classifier with 95.2% and 85.5% accuracy on the train and test.

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grvnair/heart-failure-prediction

Compared the metrics and performance of different classification algorithms on Heart Failure dataset from UCI ML Repository

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