supervised-machine-learning | Topic

Topic: "supervised-machine-learning"

isksamiul/Machine_Learning_Coursera_AndrewNg

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2023) by Prof. Andrew NG

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Mertdil/IBM_machine_learning

IBM Machine Learning Professional Certificate with Coursera

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dodystat/myfinalproject_supervisedml

Memprediksi pengunjung sebuah toko belanja online apakah akan melakukan transaksi pembelian atau tidak menggunakan model Supervised Machine Learning. Dataset yang digunakan adalah Online Shopper Purchasing Intention yang diperoleh dari www.kaggle.com. VAriabel target nya adalah Revenue yang berisi True (Membeli) dan False (Tidak beli)

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Chandrakant817/Loan-Prediction-using-Machine-Learning

Loan Prediction using Machine Learning

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shuklayash02/Diabetes_Prediction_Model

Diabetes Prediction model Input=(Pregnancies,Glucose,BloodPressure,SkinThickness,Insulin,BMI,DiabetesPedigreeFunction,Age)

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KrishKanojia/Housing-Prices-Prediction-Machine-Learning-Project

The objective of this project is to predict median housing price of any district fetching data from different sources and the predicted value will be fed into another machine learning model for investment analysis.

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Kimberly-Marcelin-Nathan/Analyzing_The_Impact_of_Social_Media_Marketing_on_Sales_of_Yamaha_Music_Waves_Montage_8_Synthesizer

This is a Supervised ML Project!

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rahul1-bot/Chronic-Kidney-Disease-with-Artificial-Neural-Networks

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UnleashedBest/Stroke_Prediction

This repository is for self development. Here I show some machine learning methods and techniques to predict the risk of having a heart stroke.

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Kenner82/Credit_Risk_Analysis

Testing 6 different machine learning models to determine which is best at predicting credit risk.

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Ndaruga/Multiple-Machine-Learning-Projects

This repository contains multiple machine learning projects for supervised, semi-supervised, unsupervised and reinforcement machine learning

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hritiksauw199/PS5-vs-Xbox-Series-X-Sentiment-Analysis

Extracted users' reviews from Amazon.com and performed sentiment analysis to determine which console to purchase

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jahnvisikligar/Automobile-Fuel-Efficiency-Predictions

This repository is a reflection of final web deployment of ML models using Flask and cloud service Heroku. The models deployed are - Linear Regression, Decision Tree, Random Forest and Support Vector Machines.

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rihenperry/watch-ml-behave

Elementary handwritten digit and alphabet classifier using supervised learning.

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Ziad235/Simulation_Dice_Game

This is a Python program that is a variant of the game BlackJack. This program uses Reinforced Learning, a main intersection between Machine Learning and Artificial Intelligence, to give the user an optimal playing strategy for the game.

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Rl16193/Unpaved_Road_Condition_Monitoring

The aim of this paper is to review existing methods already available in the literature, and present a research into the use of smartphones for classification of unpaved roads utilizing the machine learning techniques including K-Nearest Neighbor (KNN) and Support Vector Machines (SVM).

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msumalague/ThyroCare-Application

ThyroCare

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jbolns/atheoretical

Data analysis > VBA-driven automated regression (supervised ML) in Excel.

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AboNady/Simple_Linear_Regression_From_Scratch

I have applied the fundamental idea of Linear Regression with Single Variable input. I implemented the Gradian Descent algorithm simply from scratch with no libraries such as Scikit-Learn. I just used NumPy.

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Kok-Herng/gene-classification-ML-framework

Development of Predictive Model for the Classification of Genes Associated with Abiotic Stress-Resistant Traits in Rice using Supervised Machine Learning

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AnshRockstar/NYC-Taxi-Trip-Duration-Prediction

Predicting the time required to book a taxi in New York City

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gb-pignatti/ML_from_scratch

I code from scratch various Machine Learning algorithms.

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apoorvaKR12695/Bike-Sharing-Demand-Prediction-

ML Supervised- Developed a regression model using algorithms such as Random Forest and XGBoost to predict the hourly demand of bikes.Performed hyperparameter tuning techniques and achieved R2 score of 92% using XGBoost model and reduced the public waiting time significantly.

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AJMnd/Credit_Risk_Analysis

An analysis on credit risk

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brandonjgeo/ArcGIS-API-for-Python-Raster-Processing

The focus of this repository is the raster related functions within the ArcGIS API for Python. Specifically the examples included are from a research paper titled, "How Do You Define a Tree? Creating a Carbon Sequestration Report for River Ridge Ranch Using Unoccupied Aerial Vehicles" by Brandon George, Kane Diaz, and Kevin Bodrogi.

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cejdan/sarc-predictions

Code repository for my master's thesis project

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jjtiger/Forecasting_Net_Prophet

A Financial Analysis to aid in a company growth strategy, applying forecasting models and proving metrics. Analysis includes a model using Prophet to determine the ability to accurately predict if search traffic can influence positive trading of particular stocks.

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bhaydon/Octave

Machine Learning using Octave/MATLAB's powerful linear algebra features

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malkawenedal/Application-of-Machine-Learning-in-Predicting-Stock-Direction Fork of Nimai95/Project-2-Machine-Learning

Predicting the direction of the stock using Different supervised machine learning

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Analitico-771/creditworthiness_classification_model

This is an Application that trains a model using supervised learning and imbalanced-learn library in order to classify and identify the creditworthiness of borrowers

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Paulnkk/Solving-L2-Logistic-Regression-Problem

I use a self-implemented Trust-Region-Method to solve the optimization problem and calculate the accuracy based on test data

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mahmoud-elghonemy/Prediction-using-Supervised-ML

predict the percentage of a student based on the no. of study hours

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ft-abhx/Machine-Learning-Worksheets

Introduction to Python Programming and Implementation of Machine Learning Algorithms including visualization of the data and the results.

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SherryKennedy/Credit_Risk_Evaluation_Supervised_Learning

Supervised Machine Learning to predict Credit Risk. Review of Logistic Regression and Random Forest Classifier with and without scaling.

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rayhanozzy/IBM-Machine-Learning-Specialization-Coursera

Specialization offered by IBM at Coursera

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Ashlesha8421/The_Spark_Foundation_Project

Data Science And Business Analytics Internship in The Sparks Foundation The Sparks Foundation

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taher-software/-Anticipate-aircraft-flight-delays

Simple site to predict flight delay: https://prediction-retard-avions.herokuapp.com/

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olesyapro888/Prediction_Job-Vacancies_Machine_Learning Fork of alecngai/Predicting_Canadian_Job_Vacancies

Teamwork. Prediction of future potential job vacancies and understanding underlying patterns in Canada’s job market using MLP Regressor and SARIMAX of supervised ML models.

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Ratan-75/multi-class-text-classification

Multi Class Text Classification Machine Learning

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fayeholt/NewsQRanking

Created for HackGT 2020. Sentiment Analysis model using supervised machine learning to detect bias in news articles. Won 3rd place for the NewsQ challenge.

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taher-software/-Automatically-categorize-questions

Develop an API to suggest tags for a question that would be asked to Stack Overflow site.

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taher-software/segment-customer-behavior

This project aim to give a python application , which can allow to classify a customer to his best category , based on his previous purchases.

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SColson82/Credit_Risk_Prediction

Predicting Credit risk using Supervised Machine Learning.

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barawalojas/GRIP

Task Repository of GRIP for The Sparks Foundation

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FatimaYousif/Supervised-ML

(The spark foundation) TSF task#1 of Supervised Machine Learning- "predicting the percentage of a student based on the number of study hours" using python.

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jacquie0583/Credit_Risk_Analysis

Supervised ML - Credit Risk on Loan Applications: using several models on credit loan data in order to predict credit risk. Python Sickit-learn library and models (Supervised Machine Learning Models - Logistic Regression, Random Forest, AdaBoost Classfier, Cluster Centroids, Oversampling & Undersampling)

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Pranav-yadav/grip-tasks

#GRIPSEP21 Tasks

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JeffWang0325/Microsoft-DAT275X-Principles-of-Machine-Learning-Python-Edition

In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using Python, and Azure Notebooks.

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samirhinojosa/OC-P4-consumption-needs-of-buildings

Anticipate the electricity consumption needs of buildings

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johnathon-smith/telco_churn_project

The goal of this project was to utilize classification models to predict whether or not a customer would churn. I went through the entire machine learning pipeline, discovered drivers of churn, and created many different models. Ultimately, my best Random Forest Classifier model was able to predict churned customers with an accuracy of about 80%.

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ameyark28/Uber-Ridesharing-Clustering

Determining optimal position for Uber cabs with K-means clustering (unsupervised machine learning algorithm )

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Anantha-Rao12/NMR-ML4SCI-GSOC21

Google Summer of Code (GSoC) 2021 project weekly updates.

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suryamp97/CIFAR-10-Classification-with-Supervised-and-Unsupervised-Learning-Machine-Learning

Classify an image into one of ten classes using CIFAR- 10 dataset for this classification task using Supervised and Unsupervised Learning Approach

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sangita9853/Task-1-Data-Science-and-Business-analytics

Graduate Rotational Internship Program -TSF-The Spark Foundation(Data Science and Business Analysis Internship) #GRIPJULY21-Task#1:Prediction Using Supervised Machine Learning-In this task, we have to predict the percentage of marks that a student is expected to score based on the number of hours they studied. This task involves two variables. For that we will be using one of the fundamental…

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saurabh48782/Customer_Attrition_Prediction

The goal of the project is to build a predictive model using machine learning concepts to predict customer attrition for a telecom service company.

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Angienoelhaverly/Credit_Risk_Analysis

Perform a Credit Risk Supervised Machin Learning Analysis using scikit-learn and imbalanced-learn libraries.

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Tirth8038/Email-Spambase-Classification

Task : Build a classification model which will be able to distinguish between spam/not spam.

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KaranSingh07/ML-flower-species-classifier

This is my first Machine Learning Project as a project of ShapeAI's ML Bootcamp

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arazic/ML-Document-Classification

Document classification – by unsupervised approach and supervised learning approach

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clementetienam/Pix2PixGan_For_House_ThermalData

Language: Python - Size: 12.7 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

ahmedrachid/MovieLens

Movie Lens Machine Learning Project

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swilliamc/Capstone2

Heart Failure Prediction for Harvard University Professional Certificate in Data Science Capstone Project, 2nd Capstone Project using R programming

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shishir349/Exploring-the-world-of-Football

FIFA 19 is a football simulation video game developed by EA Vancouver as part of Electronic Arts' FIFA series. Announced on 6 June 2018 for its E3 2018 press conference, it was released on 28 September 2018 for PlayStation 3, PlayStation 4, Xbox 360, Xbox One, Nintendo Switch, and Microsoft Windows.It is the 26th installment in the FIFA series. As with FIFA 18, Cristiano Ronaldo initially as the cover athlete of the regular edition: however, following his unanticipated transfer from Spanish club Real Madrid to Italian side Juventus, new cover art was released, featuring Neymar, Kevin De Bruyne and Paulo Dybala.

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devangi2000/Machine_Learning

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RanjanRavi2398/Advance-IBM-Data-Science

Solutions of Coursera Assignment of advanced machine learning

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ThinamXx/PredictingCreditCard_Approval

Hey there!! In this repository I have applied the Supervised Machine Learning techniques to predict the Approval and Denial of Credit Card Applications. This repository will give you the insights of Supervised Machine Learning Techniques.

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sguadav/Predicting_soccer_results

Predicting the scores of soccer matches using Supervised Learning

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SnehaShukla937/SupervisedMachineLearningProject

Supervised Machine Learning algorithms based simple projects [ beginner level ]

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saibharath2/linear-regression

linear regression

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saibharath2/logistic-regression-

log

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MissAle17/Email-Fraud-Detection

Utilizing the Enron Emails to create a Fraud Detection model.

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nriss/generate-imaging-dataset

Tools to create patches and build CSBDeep deep learning model for md-SR imaging

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LaxmiChaudhary/Ensemble-Techniques-on-Bank-Data

Identify potential customers who are relatively more likely to subscribe to the term deposit

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d88w/udacity_ml_supervised_learning

[Sklearn] [Python] Exploring Supervised Learning models and methodologies - regularization, boosting, tuning, etc.

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falaybeg/BigData-MachineLearning-Notes

Big Data, Apache Spark, Streaming, Statistics, Machine Learning

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coreycoole/supervised_model_analysis

The purpose of this study is to assist in the use and interpretation of intrapartum cardiotocography (CTG), as well as in the clinical management of specific CTG patterns.

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kodalisaiteja7/Machine_learning

machine learning

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laurenlhoward14/wine-classification

Using supervised learning classification techniques to predict wine samples

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devdatta95/Market-Basket-Analysis-On-Retail-store-in-R

Market Basket Analysis is one of the key techniques used by large retailers to uncover associations between items. It works by looking for combinations of items that occur together frequently in transactions. To put it another way, it allows retailers to identify relationships between the items that people buy.

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