eleshea/Financial-Data-Fraud-Detection_ML

Size: 6.84 KB - Last synced at: about 16 hours ago - Pushed at: about 18 hours ago - Stars: 0 - Forks: 0

20XD099/mlx-lm

📄 Generate and fine-tune large language models on Apple silicon effortlessly with MLX LM, integrating seamlessly with the Hugging Face Hub.

Language: Python - Size: 2.26 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1 - Forks: 0

PAFOULEH5/Loan-Default-Prediction

A machine learning project to predict loan default risk using financial and credit history data. Built as part of a team capstone project in master degree at Deakin University.

Language: HTML - Size: 1.6 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 1

sozelfist/handson-ml3 Fork of ageron/handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Language: Jupyter Notebook - Size: 42.8 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

shalinikumari37090-source/ml-models

this repository contains some finely curated machine learning models which very well performs on a given dataset. The dataset used here is again cleaned and preprocessed by me and have good space for data visualization if needed.

Language: Jupyter Notebook - Size: 4.69 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

Shubham91999/SML_Regression-Classification

Implementation and visualization of core Machine Learning algorithms — Linear Regression, Gradient Descent, and Logistic Regression

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

BzGEO/Geo_AI_compendium

References regarding geospatial artificial intelligence (#geoAI) and geospatial machine learning (#geoML)

Size: 21.4 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 5 - Forks: 0

GGasset/CudaNeatNetwork

Easy to use, Neural Network framework made from scratch in CUDA/C++, featuring LSTMs, able to train using Supervised learning and Evolution methods

Language: Cuda - Size: 836 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 2 - Forks: 0

jamiee9604/special

📥 Extract and organize AV metadata from multiple sites, streamlining your media library for software like Emby, Jellyfin, and Kodi.

Language: Python - Size: 8.1 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

munich-quantum-toolkit/predictor

MQT Predictor - A Tool for Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing

Language: Python - Size: 81 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 80 - Forks: 21

cypherpunk-symposium/desci-ai-experiments-py

👾 resources for DeSci + AI experiments: notes, ml, agents, llms, energy based models...

Language: Python - Size: 6.15 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 23 - Forks: 3

Goekdeniz-Guelmez/mlx-lm-lora

Train Large Language Models on MLX.

Language: Python - Size: 1.47 MB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 199 - Forks: 27

Ahmed-M0rsy/ML_Supervised_Car-Insurance-Claim-Outcomes

Portfolio Project: Modeling Car Insurance Claim Outcomes

Language: Jupyter Notebook - Size: 538 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

CrispenGari/ml-2023

💹📉📊📈This repository contains some machine leaning task that I did from the year 2023.

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xiamx/awesome-sentiment-analysis

😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤

Size: 38.1 KB - Last synced at: 12 days ago - Pushed at: about 7 years ago - Stars: 930 - Forks: 163

gkeiel/supervised_machine_learning

Python codes for supervised machine learning: time series analysis and forecasting

Language: Python - Size: 40 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

sakshikedari3/Machine-Learning

This repository features a collection of supervised machine learning case studies and unsupervised case studies, each solving a distinct problem using different algorithms. It demonstrates practical applications of classification and regression techniques across domains like sales forecasting, customer churn, credit risk, and medical diagnosis.

Language: Python - Size: 1.6 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

tajamulkhann/Machine-Learning-Projects

Your one-stop shop for machine learning projects, tips, and notes – because learning should be accurate, not overfitted!

Language: Jupyter Notebook - Size: 219 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 26 - Forks: 11

kashishver-ma/aiml-project

machine learning concepts

Language: Jupyter Notebook - Size: 20.9 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

Vianpyro/OCR

Optical Character Recognition (attempt) using Rust

Language: Rust - Size: 11.7 KB - Last synced at: 26 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Raveenaross/bulldozer-price-prediction

Predicting the sale price of bulldozers using machine learning

Language: Jupyter Notebook - Size: 214 KB - Last synced at: 24 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

shaysingh818/dendritic

Iterative optimization library

Language: Rust - Size: 28.7 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

erickkhosasi/ML-Loan-Approval-Prediction

Final project for the Data Science Bootcamp by Digica Academy. This project develops and evaluates a machine learning model to assist in loan approval decisions. Includes business context, data analysis, model selection (Random Forest), performance evaluation, and potential business impact estimation.

Language: Jupyter Notebook - Size: 854 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Shamir-Havas/Automobile-Sales-Analysis-Dashboard

🚗 Built an interactive Automobile Sales Dashboard using Python & Plotly Dash. Features dynamic filters, multi-chart views, and KPIs to analyze sales by year, region, and vehicle type. Demonstrates data wrangling, visualization, and dashboarding skills for business insights.

Language: Jupyter Notebook - Size: 673 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

syedabdullahbukhari77/machine-learning

A collection of notebooks and scripts covering essential data science concepts. Includes data manipulation, cleaning, analysis, and visualization techniques.

Language: Jupyter Notebook - Size: 4.06 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 1

LipunKumarDalai/UsedCarPrediction

Model that predicts prices on used cars based on historical dataset from Car Dekho domain.

Language: Jupyter Notebook - Size: 41.4 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

danial-hosseinpour/Machine-Learning-Projects

This repository showcases a collection of machine learning projects that I have worked on, applying various algorithms and techniques to solve real-world problems.

Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

avemurphy/Comparing_ML_Models

Comparing Machine Learning Models

Size: 549 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

yuzusy1313/python-finding-donors

python-finding-donors 🐙: Udacity CharityML using TensorFlow/PyTorch to predict >$50k income from 1994 U.S. Census; includes preprocessing and model comparison.

Language: Jupyter Notebook - Size: 577 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

nafisalawalidris/Advanced-Fraud-Detection-with-Anomaly-Detection

This repository demonstrates how to build a robust fraud detection system that combines supervised learning techniques with anomaly detection models. It provides end-to-end implementation, from data preprocessing and model training to deploying a real-time fraud detection API using FastAPI.

Language: Jupyter Notebook - Size: 2 MB - Last synced at: 23 days ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

hithosh91/cancer-detection-malignant-benign

The project predict the cancer detection either Malignant or Benign using Supervised Machine algorithm (Decision Tree Classifier)

Size: 3.91 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

virajbhutada/ML-projects

A collection of machine learning mini-projects and analyses developed using Jupyter Notebook. Each project demonstrates practical applications of machine learning algorithms on a variety of datasets, covering techniques from exploratory data analysis (EDA) to model training and evaluation.

Language: Jupyter Notebook - Size: 15.2 MB - Last synced at: about 1 month ago - Pushed at: 12 months ago - Stars: 2 - Forks: 0

Agoons20/Text_Mining_in_R

The projects here demonstrate how a textual corpus is prepared for analysis, preprocessing steps for computational text mining and extraction of business insights.

Language: Jupyter Notebook - Size: 7.27 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ViivianREINE/Carbon-Footprint-Calculator-using-Advanced-Machine-Learning-CNN-

🌍 An AI-powered Carbon Footprint Calculator built with Python, TensorFlow (CNNs), and Streamlit. Delivers real-time emission predictions, visual insights, and country-wise comparisons from user lifestyle data. Adaptive, scalable, and designed to drive sustainability through intelligent software solutions.

Language: Python - Size: 542 KB - Last synced at: 17 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

abhishekhajagolkar/Customer-Churn-Prediction

Classification based machine learning model to predict customer churn whether the customer is returning or not

Language: HTML - Size: 239 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

akshat4703/Fraud-Detection-in-Financial-Transactions-with-TensorFlow-

Detects fraudulent financial transactions by training deep learning models on transaction data. Includes data preprocessing, handling class imbalance, model evaluation, and real-time prediction capabilities.

Language: Python - Size: 127 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ua-datalab/MLWorkshops

UArizona DataLab Workshops

Language: Jupyter Notebook - Size: 106 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 7 - Forks: 0

zahra-ahmadbeigloo/Machine-Learning-Projects

This repository contains machine learning projects, where models are trained for classification, regression, clustering, and deep learning tasks. Each project includes data preprocessing, feature engineering, model training, evaluation, and visualizations to support findings.

Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

sonali6062/Machine_learning_fundamentals

A comprehensive collection of machine learning algorithm implementations from scratch and using popular libraries. Covers supervised learning techniques with well-documented code and practical examples.

Language: Jupyter Notebook - Size: 16.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ConradKleykamp/Predicting-Introverts-from-Extroverts

Leveraging and tuning a LGBM model to predict whether an individual is an introvert or an extrovert based upon their social behavior and personality traits

Language: Jupyter Notebook - Size: 6.03 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Gruyff101/Machine-Learning-Multivariate-Analysis

This repository contains the multivariate analysis that aims to identify the key predictors of team performance in serious gaming.

Language: Jupyter Notebook - Size: 210 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

SayamAlt/Bank-Customer-Churn-Classification-using-Machine-Learning

Successfully developed a robust customer churn prediction system using advanced machine learning models in R, leveraging techniques like logistic regression, decision trees, random forests, boosting, bagging, SVM, neural networks, and regularization methods (Lasso/Ridge).

Language: R - Size: 229 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Brinkley97/applied_time_series_and_machine_learning

Personal Exploration: Time Series Analysis + Forecasting with Machine Learning

Language: Jupyter Notebook - Size: 78.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 4 - Forks: 1

Anna-Ann11/passenger-satisfaction-prediction

Supervised Machine Learning project to predict airline passenger satisfaction using Python and sklearn. Includes model training, evaluation, and deployment using Gradio for interactive prediction. Visualizations created with Matplotlib and Seaborn to support data-driven insights.

Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

areebweepy/Customer-Churn-Prediction-AI

🤖 Predicting customer churn using KNN classifier on Telco dataset with custom preprocessing, encoding, and evaluation metrics.

Language: Jupyter Notebook - Size: 252 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Meese-Puffs/FakeNewsDetector

My first, small machine-learning project.

Language: HTML - Size: 41.5 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

greyhatguy007/Machine-Learning-Specialization-Coursera

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Language: Jupyter Notebook - Size: 38.1 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 5,614 - Forks: 3,170

Parnika798/Customer-Segmentation

Customer Behaviour Analysis and Churn Predictor

Language: Python - Size: 896 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

TusharGwal/Machine-Learning-A-Z-Hands-On-Projects-in-Python-for-Data-Science-2025

Repository For Codes And Concept Taught in Udemy Course - "Machine Learning A-Z™: AI, Python & R + ChatGPT Bonus [2025]"

Language: Jupyter Notebook - Size: 33.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

chonzadaniel/Credit-card-FraudDetection

Submission of Project

Language: Jupyter Notebook - Size: 4.06 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

KUsmn/supervised-iris-classifier

Supervised learning workflow showcasing decision tree algorithm performance on multi-class classification with real-time data visualization and model diagnostics.

Language: Jupyter Notebook - Size: 92.8 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Revati-N/AI-DS-Projects

Collection of AI, DS and ML Projects

Language: Jupyter Notebook - Size: 41.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

sondosaabed/Finding-Charity-Donors

In this project I apply supervised learning techniques and using analytical mind on data collected for the U.S. The Census to help CharityML (a fictitious charity organization) and identify people most likely to donate to their cause.

Language: Jupyter Notebook - Size: 2.81 MB - Last synced at: 12 days ago - Pushed at: 12 months ago - Stars: 4 - Forks: 0

AkshaySyal/Analysis-using-Supervised-ML-Algorithms

The project applies supervised machine learning algorithms to an image dataset (MNIST), a tabular dataset (Spambase), and a text dataset (20NG) to interpret the data through analysis of top-ranked features.

Language: Jupyter Notebook - Size: 1.5 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

samuelAemro12/MachineLeraning_SchoolProject-

A machine learning school project, completed on Google Colab, Classify Case instances of whether there is a recurrence-case or no-recurrance-case of breast cancer

Language: Jupyter Notebook - Size: 256 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

josephpcowell/cowell_proj_3

Metis Project 3: Supervised Machine Learning with a Categorical Target (predicting credit card fraud)

Language: Jupyter Notebook - Size: 13.6 MB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 1

sp-muramutsa/shopping

Predicts whether an online shopper will generate revenue by analyzing their web session. Implements Supervised Machine Learning with preprocessing, model evaluation , and hyperparameter analysis.

Language: Jupyter Notebook - Size: 459 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

sp-muramutsa/agriculture

This project analyzes the importance of soil features in AI/ML-based prediction of the optimal crop for given soil measurements using SHAP(SHapley Additive exPlanations) .

Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

FrankYesid/Proyectos-Tech2

Este repositorio contiene una colección de proyectos de análisis de datos e inteligencia artificial desarrollados en el programa Tech2, organizados por cohortes y grupos de trabajo.

Language: Jupyter Notebook - Size: 1.26 GB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

jahanzaibshah234/Supervised-Machine-Learning-Regression-and-Classification-

📊 Python-based implementation of Supervised Machine Learning algorithms for Regression and Classification tasks.

Language: Python - Size: 23.4 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

zainwaheed619/World-Bank-Explorer

World Bank Explorer is a web application that lets users access and visualize global development data from the World Bank. It provides a user-friendly interface to compare various indicators, making data analysis straightforward and engaging. 🗺️🌍

Language: JavaScript - Size: 25.4 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

FALJasser/Image-NN

This is a very simple project as a requirement for Udacity NanoDegree

Language: HTML - Size: 4.71 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

LatiefDataVisionary/supervised-machine-learning-college-task

Size: 10.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

malopezsu/Workshop_5_Unsupervised_classification

En este taller se implementó una clasificación no supervisada usando K-means sobre una imagen satelital Sentinel-2. Se exploraron diferentes valores de k, evaluando los resultados con inertia y silhouette score. Finalmente, se integraron los clústeres como covariable en un modelo de clasificación supervisada, y se generaron visualizaciones temática

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

iG0rSK99/ml-supervised-classification-income

🧠 Income Classification Using Machine Learning This project aims to predict whether an individual earns more than $50K/year using demographic and employment-related data. Multiple classification algorithms were trained and evaluated, and the best model was selected based on cross-validation and performance metrics.

Language: Jupyter Notebook - Size: 1.1 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Harry654/breast-cancer-scikitlearn

🔬 Implemented and compared multiple machine learning algorithms to predict breast cancer severity using the Scikit-learn dataset 🧠📊 — achieving a 96% accuracy ✅

Language: Jupyter Notebook - Size: 3.8 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

jmarchese1/poker-ai-headsup

An evolving No-Limit Hold’em AI engine for heads-up poker. It begins with rule-based decision bots, generates data for supervised learning models, and advances toward reinforcement learning agents capable of real-time, opponent-aware strategy and optimal decision making.

Language: Python - Size: 178 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

mattiacurri/CorporateCreditRatingPrediction

Corporate Credit Rating Prediction System - Knowledge Engineering Project - A.A. 2023-2024

Language: Python - Size: 7.37 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

Amaan-developpeur/heart-disease-predictor

A machine learning model to predict the presence of heart disease using clinical data and optimized classification algorithms.

Language: Jupyter Notebook - Size: 5.41 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

SWFSC/banter

banter is a package for creating hierarchical acoustic event classifiers out of multiple call type detectors.

Language: HTML - Size: 127 MB - Last synced at: 6 days ago - Pushed at: 5 months ago - Stars: 9 - Forks: 1

Sadia-Khan13/Supervised_Machine_Learning

This repository is meant to document my hands-on experience with supervised learning algorithms and techniques. It includes a variety of exercises, and experiments using different types of data and tools. Each file represents a step forward in building my machine learning skills.

Language: Jupyter Notebook - Size: 1.88 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

cchenche8/EBM_TFG

This repository includes the scripts developed during the Biomedical Engineering Final Degree Project.

Language: Jupyter Notebook - Size: 19.9 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

manasw13/Stock_Price_Forecasting_Investment_Analysis

This repository contains a comprehensive analysis of stock price forecasting and investment strategies using R. It features various statistical models and visualizations to help users understand market trends and make informed decisions. 🐙📊

Size: 1.12 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

EmilHvitfeldt/smltar

Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge

Language: TeX - Size: 464 MB - Last synced at: 4 months ago - Pushed at: 10 months ago - Stars: 261 - Forks: 104

Sravyatogarla/Edureka-Data-Science-DIY

A complete collection of hands-on DIY projects from the Edureka Data Science 🔍📊Master Program, covering Python, Statistics, Machine Learning (Supervised & Unsupervised), NLP, Deep Learning (including Reinforcement Learning), Model Evaluation, and Tableau – organized by day and topic for structured learning.100 Days of Edureka Data Science DIY's

Language: Jupyter Notebook - Size: 922 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

williakn3/Classification-Challenge

Created two classification models to fit the data, and evaluate which model is more accurate at detecting spam. The models used will be a logistic regression model and a random forest model.

Language: Jupyter Notebook - Size: 123 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

j-v-mathur/Insurance-price-prediction

A linear Regression Model Using DataSet https://www.kaggle.com/mirichoi0218/insurance .

Language: Jupyter Notebook - Size: 174 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

sanjay-ar/payment_default_prediction

Payment Default Prediction System is a machine learning pipeline that forecasts the likelihood of payment defaults using historical transaction data and client profiles. Designed to support risk assessment in finance, the system uses classification models to flag high-risk clients for early intervention.

Language: Python - Size: 143 MB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

SKT1803/bank-marketing-prediction

Supervised Machine Learning Classification – Bank Term Deposit Prediction

Language: Jupyter Notebook - Size: 523 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Rhode01/Neural-networks-beginner-projects

Beginner projects for getting started with Neural Networks concepts.

Language: Jupyter Notebook - Size: 393 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Noch05/predict_donor_behavior

Predicting Donor Behavior: Applying Machine Learning to Donor Classification

Language: R - Size: 9.85 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

yucyi1121/MLvenv

Repositório de criação de ambiente virtual completo para desenvolvimento em Python com foco em: Machine Learning e Deep Learning, Processamento de Linguagem Natural (NLP), Web Scraping (extração de dados da web) e Criação de APIs e integração entre sistemas. Feito para uso pessoal para reagir a desastres (OS corrompido).

Language: PowerShell - Size: 7.81 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

SayamAlt/Weather-Prediction-using-Machine-Learning

Successfully developed a machine learning model which can accurately classify the weather based on various features pertaining to weather-related data and atmospheric conditions.

Language: Jupyter Notebook - Size: 9.35 MB - Last synced at: 5 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 5

sachs7/Coursera-Machine-Learning-Specialization

2024 Machine Learning Specialization course from Stanford University and Deeplearning.ai on Coursera by Dr. Andrew Ng. Includes Labs, Quiz

Language: Jupyter Notebook - Size: 131 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 8 - Forks: 3

hmc9898/churn-prediction-beta-bank

Supervised machine learning project to predict customer churn using contract and usage data.

Language: Jupyter Notebook - Size: 325 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

kyrollossarwat/Cleaning-for-Machine-learning

The main things we do in EDA or cleaning the data are: removing or modifying null values, removing duplicates, handling outliers, encoding and scaling.

Language: Jupyter Notebook - Size: 169 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

IAmJuniorB/D499-Supervised-Learning

This class for machine Learning presents the end-to-end process of investigating data through a machine learning lens.

Language: HTML - Size: 1.63 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Risang-L/text-classifier

A Streamlit app that classifies text samples as either AI-generated or written by Second Language Writers (SLW). Uses syntactic complexity indices by TAASSC and SHAP for model interpretability.

Language: Python - Size: 391 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

adexoxo13/Naive-Bayes

Naive Bayes Classifier | 10-Fold Cross-Validation | ROC Curve Analysis | Machine Learning | Python

Language: Jupyter Notebook - Size: 449 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

subhashsomarouthu/Yes_Bank_Stock_Closing_Price_Prediction

Predicting the closing prices of Yes Bank stocks using machine learning models. Dive into the world of financial data analysis and forecasting with this project. Explore data, build models, and make informed investment decisions.

Language: Jupyter Notebook - Size: 6.85 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 4

PhenomSG/ml-notebook

This project is designed for personal learning and exploration of fundamental machine learning concepts.

Language: Jupyter Notebook - Size: 39.7 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

lohitya/Data-Analysis---ML

Data Analysis & ML (Python)

Size: 4.79 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

analyticalnahid/Supervised-Machine-Learning

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

Language: Jupyter Notebook - Size: 28.7 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

SayamAlt/Liver-Cirrhosis-Stage-Prediction

Successfully established a machine learning model which can determine whether an individual is vulnerable to the Cirrhosis disease or not by predicting its corresponding stage based on a unique set of medical features such as Cholesterol, Prothrombin, etc. pertaining to that person.

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adexoxo13/Neural_Network

Supervised Machine Learning | Neural Network | Jupyter Notebook | Python | Scikit library

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PimeTandas/machine-learning-courses-and-notes

This repo houses all my notes, labs and notebooks I used/ created while learning Machine Learning. Following on from this repository I also have a repo for all things Deep Learning too.

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dennismgoetz/MA_predicting_Shapley_values

Implementation part of my master thesis "Predicting Shapley values in routing problems with machine learning"

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tejaswirupa/Early-Prediction-of-Diabetes-Risk-Using-Machine-Learning

Built a predictive model using CDC health data to identify individuals at risk of developing diabetes. Achieved 90.6% F1-score using Logistic Regression and revealed key health indicators like BMI and blood pressure as top predictors.

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felmateos/stellar-classification-SDSS17

🌠🌈Classificação de Corpos Celestes usando suas características espectrais🌐☄️

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KwokHing/SentimentAnalysis-Python-Demo

Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models

Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 14 - Forks: 11