supervised-machine-learning | Topic

Topic: "supervised-machine-learning"

randiesinclair/supervised-machine-learning-challenge

This supervised machine learning project aims to classify the risk level of loans using Logistic Regression and Random Forest Classifier for a lending services company. It involves importing data with Pandas, splitting it into training and testing sets, and creating, training, and comparing the models to determine the better performing one.

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AlessiaTaboga/finding_donors

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chloeoxe/spam-email-detector

This project details the various steps that I took to build my own spam email classifier that is able to classify an email as spam or non-spam(ham) via a set of its features.

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Janet-THY/GA_Projects

Projects in General Assembly

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Ariwodo16/Credit-Risk-Evaluator

Lending services companies allow individual investors to partially fund personal loans as well as buy and sell notes backing the loans on a secondary market. Use this data to create machine learning models to classify the risk level of given loans. Specifically, you will be comparing the Logistic Regression model and Random Forest Classifier

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martinozanetti/deep-learning

Deep Learning course - UniMi

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theodoretnguyen/palmer-penguins-classification

Supervised machine learning classification on Palmer Penguins data set

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PritamSarbajna/Diabetes-Prediction

A machine learning model to accurately predict whether or not the patients in the dataset have diabetes or not.

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kpsijil2/Big-Mart-Sales

Predicting Big mart sales

Language: Python - Size: 1.36 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

caseygomez/Credit_Risk_Analysis

Utilizing data preparation, statistical reasoning, and supervised machine learning to solve a real-world challenge: credit card risk.

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teresa-le/Credit_Risk_Analysis

Used Python (scikit-learn) to develop supervised machine learning models to predict credit risk

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ChristopheMpagaDSTI/Books_ratings_R_version

books ratings project R version

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Kathrin-92/Exploring-Supervised-Learning

A collection of different exercises in various ML Supervised Learning Methods.

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rkej/dining-predictions

A project to generate predictions for Penn State Food Services to help them predict the incoming number of customers in certain locations.

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pratheekTM/Coronavirus-Tweet-Sentiment-Analysis

The objective is to build a classification model to predict the sentiment of COVID-19 tweets. The tweets have been pulled from Twitter and manual tagging has been done and the names and usernames have been given codes to avoid any privacy concerns.

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xdpooja/MNIST-Digit-Classification

Handwritted digits predictiong using machinelearning SVM

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Sonaxy/Delivery-Service-ETA-Prediction Fork of Daniel-Carpenter/Delivery-Service-ETA-Prediction 📦

Predicting Time of Arrival for Food Delivery Service

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Billie-LS/modeling_da_loans

Using supervised learning on Lending Club loan data to predict default and / or bad loans

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Aditi-Singh16/sih

An Application To manage crowd at various tourist spots in India.

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SvetaLadigin/Intro2AI_supervised_learning

ID3 implementation and improved ID3 implementation

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starkjones/Food-Sales-Predictions

Predicting sales volume at various stores

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Careless-Caramel/Diabetes-Prediction

The goal of this project is to predict whether a patient reported is diabetic or not based on diagnostic measures using a Machine Learning algorithm. We are focusing on KNN Classifier for this problem.

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DanishHasan14321/TSF---Prediction-using-Supervised-ML

This repository is related to my Internship at The Spark Foundatio for Data Science & Business Analytics

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ManuelS0usa/ML_Stock_Keeping_Unit_Forecast

Time Series Machine Learning Stock Keeping Unit Demand Forecasting

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Billie-LS/Algo_da_trader

Fintech Challenge- machine learning algorithmic trading model

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Soni-Test/Sentiment-Analysis-Supervised-ML-Classification-Predicting-sentiment-of-COVID-19-tweets

COVID 19 tweet sentiment analysis

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Ahwar/Predicting-Donors

Evaluate and optimize several different supervised learners to determine which algorithm will provide the highest donation yield for a fictitious Charity Organization, CharityML, while also reducing the total number of letters being sent to ask for donations

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twigikit/regression-modelling

Logistic regression model with train_test_split data

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leewanxian/ames_housing_price_regression

ML Regression on housing prices in Ames (Data Science Immersive Project)

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SimranS22/Pred_Supervised_ML

A Supervised Machine Learning Project

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SayamAlt/Shack-Labs-Data-Science-Internship-Tasks

Completed 2 tasks as part of Shack Labs DS Internship Assignment: 1. House Price Prediction 2. Matching of Amazon and Flipkart Products

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amyylin1/Credit_Risk_Analysis1

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jianninapinto/tanzanian-water-pumps

Used supervised machine learning classification algorithms such as Decision Tree and Random Forest to predict whether or not water pumps in Tanzania require repair.

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SimranS22/Simple_Linear_Regression

Prediction using Supervised ML

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renewollny/House-Price-Classification

MachineLearning-Project (Classification)

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suchi313/Credit_Risk_Analysis

Analysis using Machine Learning algorithms to predict and identify credit risk

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IndraNandagopal/Supervised-Machine-Learning-Predicting-Credit-Risk

A machine learning model was built to attempt to predict whether a loan would be approved or not using Supervised Machine Learning, Logistic Regression model, Random Forest Classifier model, sklearn, and Pandas

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cristinalucin/classification_project

TELCO Machine Learning Classification Project

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mosobhy/multinomial-drug-abuse-detection

A mobile client that is extended with an algorithm that is capable of classifying drug-abusers based on their drug substance facial symptoms using image processing and segmentation techniques, and machine learning

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HaleyEgan/Haiti-Earthquake-Disaster-Relief

The goal of this disaster relief project was to test supervised learning algorithms on imagery data collected after the 2010 Haiti earthquake, in order to locate and provide aid to survivors as quickly as possible.

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SohaT7/NYC_Restaurant_Analysis Fork of Veronicaywl/Final_Project

Data visualization of the NYC restaurant data, and data analysis to gauge if a restaurant located in a high-income area receives a higher health inspection grade. Uses Python (Pandas, Scikit-learn, Imbalanced-learn), PostgreSQL, SQLAlchemy, Tableau, JavaScript (Plotly.js library), HTML, CSS, and Bootstrap.

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Soumitro013/EDA-and-Predictive-ML-models-building-on-MS-admission-dataset

This is the term project, a part of the course curriculum of M.Sc. 2nd Semester.

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g626s/Credit_Risk_Analysis

Incorporation of Python to build and evaluate several machine learning models to predict credit risk. Use of the Scikit-learn machine learning library to create machine learning models .

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joshua-ashmore/Supervised_Machine_Learning

Collection of supervised machine learning notebooks

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mitchellfagert/Credit_Risk_Analysis

Credit risk analysis using scikit-learn and imbalanced-learn.

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SidraEffendi/Applied_Machine_Learning

Homework Assignments from my Applied Machine Learning course at the University of Michigan.

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jmoletteire/Credit-Risk-Analysis

Employing different techniques to train and evaluate models with unbalanced classes of credit card loan risk.

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lilyhanhub/Credit_Risk_Analysis

Supervised Machine Learning project to predict credit risk

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ohigithub/predicting-credit-risk

Building a machine learning model that attempts to predict whether a loan will be approved or not by comparing the Logistic Regression model and Random Forest Classifier.

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omarreess/Predicting-Realestate-Units-Prices

A Data Science project for predicting Real estate Units Prices using Classical Machine Learning Algorithms

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sh-4/Credit_Risk_Analysis

The purpose of this analysis is to use different techniques in order to train and evaluate models with unbalanced classes so we can determine whether or not they should be used to predict credit risk for LendingClub, a peer-to-peer lending services company.

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KwokHing/Udacity-Bertelsmann-Intro-to-ML-with-TensorFlow

Udacity x Bertelsmann Scholarship - Introduction to Machine Learning with TensorFlow

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Wamuza1/Credit_Risk_Analysis

Supervised Machin Learning Analysis using scikit-learn and imbalanced-learn libraries.

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eperez3181/Predicting_Credit_Risk

A machine learning model was built to attempt to predict whether a loan would be approved or not. Tools: Supervised Machine Learning, Logistic Regression model, Random Forest Classifier model, sklearn, and Pandas

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munno88/Credit_Risk_Analysis

An analysis using Machine Learning algorithms to identify credit card risk using a dataset from LendingClub.

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emaynard10/Neural_network_charity_analysis

Exploring machine learning with nueral networks for a charity analysis. Adjusting the model to try and improve accuracy to predict which projects are likely to be successful.

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Pranavi1990/Linear-Regression

Predict the life expectancy by state using the state dataset. This problem has been solved using Linear Regression model in R.

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Pranavi1990/Logistic-Regression

The client, a financial service institution, want to increase revenue streams and intents to target a segment of their customers who are most likely to default on the loans/Credit taken. We try to solve this problem using Logistic Regression Model.

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lnshewmo/Credit_Risk_Analysis

Using machine learning algorithms to predict credit risk

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khadra1/supervised-learning-challenge

Supervised Machine Learning

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shogunbanik18/BeWell

A Data Science Supervised Machine Learning Project to predict multiple diseases like Diabetes, Heart Disease etc from symptoms given by user using Support Vector Machine Algorithm

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Kamran0153/Impact-of-Data-Freshness-in-Learning

This repository contains the coding materials to reproduce the learning error curves of the paper "How Does Data Freshness Affect Real-time Supervised Learning ?".

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ShahindaAnwer/Finding_Donors_for_Charity_SupervisedML

A supervised Learning model that finds out donors who earn more than $50K annually

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fariatura/MLwithFAF

This directory holds implementations of many Machine Learning Algorithms along with Datasets used

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YanjunLin-Andrie/Logistic_regression_loan_risk_prediction

Leveraging Machine Learning - Logistic Regression to build, fit, test, evaluate, and utilize the machine learning model to identify the creditworthiness of borrowers based on a dataset of historical lending activity under original and oversampled circumstances.

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rknethinti/Retail_Sales_Prediction

Rossmann operates over 3,000 drug stores in 7 European countries. Currently, Rossmann store managers are tasked with predicting their daily sales for up to six weeks in advance. Store sales are influenced by many factors, including promotions, competition, school and state holidays, seasonality, and locality. With thousands of individual managers predicting sales based on their unique circumstances, the accuracy of results can be quite varied. You are provided with historical sales data for 1,115 Rossmann stores. The task is to forecast the "Sales" column for the test set. Note that some stores in the dataset were temporarily closed for refurbishment.

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derekhuggens/Vehicle-Insurance-Fraud-Analysis-Webpage-Dashboard-with-Front-and-Backend

ML Prediction Pipeline from: HTML Data Form Entry Frontend --> PostgreSQL --> Pandas DataFrame via SQLAlchemy --> Supervised Model Predictions

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SCIA-Premium/PTML

Application and demonstration of the use of different machine learning methods, supervised and unsupervised, to real datasets.

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analyticalnahid/Supervised-Machine-Learning

Most popular supervised Machine Learning algorithms from scratch with Scikit-learn implementation

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adititewari13/Adult-Data_ML

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emaynard10/Credit_Risk_Analysis

Using supervised machine learning to predict credit risk. Trying oversampling, under sampling, combination sampling and ensemble learning to find the model with the best fit

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MarioLisboaJr/fraud_detect

Classificação de Contas Ilícitas em uma Instituição Financeira disponibilizada através de uma RestAPI publicada no Heroku.

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ebonian/7-Eleven-Energy-Management-System

7-11 Energy management and evaluation system by supervised machine learning.

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Magzzie/Philanthropy_Classification_NNs

Using a deep-learning neural network to analyze and classify the success of charitable donations.

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prabaldeshar/machine-learning

Machine Learning

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rd-coutinho/NLP-in-R-with-Node.js-Rest-API

Project in R developing a restaurant review classifier that makes predictions as positive or negative integrated with a Rest API in Node.js.

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Pramanik4/ML_Projects_Prediction_based

This Repository is consists of Machine Learning Projects based on Prediction

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TanishaCooper/supervised_machine_learning

Build a machine learning model that attempts to predict whether a loan will be approved or not using Logistic Regression model and Random Forest Classifier

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Nicole-Hong/NLP_Specialization_Labs

This repository contains my course work on exercises and assignments for Natural Language Processing Specialization, which was provided by deeplearning.ai on Coursera

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HillidatulIlmi/Learning-Journal-1

This Forder is about Machine Learning Supervised and Unsupervised Learning models with Feature Engineering, Model Evaluation, and Improvement, as well as Deployment models that have been made.

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Rumit95/Car-Price-Prediction

Prediction of car prices using linear regression

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Kovenda/Driver-s-Race-Classifer-traffic-stops

To see if drivers were being profiled. I built a Support Vector Machine (SVM) classifier and a randomForest classifier to predict a driver's race given the traffic's stop's details. Successful classification will indicate the existence of bais in the traffic stops' data.

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colettebarca/mastersThesis

Python Language. Code Files & Written Report. A brief overview of the project's goals and outcomes is given below.

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CAG9/ML_Template

Language: Python - Size: 119 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

m-miley/Cryptocurrencies

Unsupervised Machine Learning Analysis to identify classes of cryptocurrencies using K-Means Clustering and implementing PCA to reduce dimensionality.

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otavioml/Supervised-Machine-Learning

Machine learning algorithm using KD trees to solve the classification problem.

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prizx10/GRIP-Internship

This repository contains the solutions of all my tasks under the internship at "The Sparks Foundation" under the graduate rotational internship programme as "Data Science & Business Analytics" Intern.

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tiwari-adarsh0830/GRIP-SPARKS-FOUNDATION-JULY2022

This repository contains several task given by the Sparks Foundation under Graduate Research Internship Program July2022

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emish8/Malware-Detection-Using-Supervised-ML-Projects

Malware Dectection Using Supervised ML

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AvijitChowdhury/House_Price_Prediction

ML_Project

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ashishrana1501/Machine-Learning-Algorithms

This particular repository consist of all Machine Learning Supervised and Unsupervised Algorithms along with Practical Implementation

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sg-tarek/BASATA

An open-source AutoML tool with a proven record in Kaggle competitions. A must-have in every Data Scientists toolbox.

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ayoubft/supervisedClassif-s2

Supervised classification of Sentinel-2 satellite imagery using KNN from sklearn.

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rupeshsure/Heart_Disease_Prediction_Project

Heart_Disease_Prediction

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rupeshsure/DNA-Sequence-Classification-Project

DNA CLASSIFICATION

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zakkipuar23/financial-challenge-churn-prediction

This is a challenge from BRI (Bank Rakyat Indonesia) and Sharing Vision. The objective of this challenge is predict whether a customer will churn or not, from a hundred of encoded features

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HariTarz/Mobile_Price_Range_Prediction

This is a classification-based supervised Machine Learning project to predict the mobile price range based on the features given in the dataset.

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a-dossari/Trip_Advisor_Hotel_Reviews_Project

This project is one of the projects required for SDAIA T5 Data Science Bootcamp

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SayamAlt/Customer-Churn-Prediction

Successfully established a machine learning model which can predict whether any given customer currently utilizing the products and services offered by a company will churn at anytime in the future or not, depending upon a set of unique features/characteristics pertaining to that specific individual, to a great level of accuracy.

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rishikasinha7/TextClassification-Neural-nets

Neural Network Architectures

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