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. 🐙📊

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lohitya/Data-Analysis---ML

Data Analysis & ML (Python)

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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 ✅

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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

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j-v-mathur/Insurance-price-prediction

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

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LIPU-DEMON/UsedCarPrediction

A Simple Manual Machine Learning Model Based On UsedCars.

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SKT1803/bank-marketing-prediction

Supervised Machine Learning Classification – Bank Term Deposit Prediction

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Rhode01/Neural-networks-beginner-projects

Beginner projects for getting started with Neural Networks concepts.

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LatiefDataVisionary/supervised-machine-learning-college-task

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Noch05/predict_donor_behavior

Predicting Donor Behavior: Applying Machine Learning to Donor Classification

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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).

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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.

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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.

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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.

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IAmJuniorB/D499-Supervised-Learning

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

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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.

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Parnika798/Customer-Segmentation

Customer Behaviour Analysis and Churn Predictor

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adexoxo13/Naive-Bayes

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

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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.

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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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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

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OmarrAymann/Machine-learning-projects

A collection of machine learning projects covering supervised learning and unsupervised learning. Each project includes: Clean and reproducible code End-to-end pipeline: data preprocessing, modeling, evaluation, visualization Well-documented notebooks and scripts Use of popular ML libraries like Scikit-learn

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Neelka96/credit-risk-classification

DataViz Module 20 Supervised ML (Python)

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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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Team-IEEE-BPIT/SIG-Machine-Learning

Welcome to the Machine Learning using Python SIG hosted by IEEE BPIT! This SIG is designed to introduce participants to the exciting world of Machine Learning using Python programming language.

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celineclarissa/Book-Genre-Prediction

Genre classification from book summaries using NLP, feature engineering, and a TensorFlow-based neural network, deployed on Hugging Face.

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meetk5/Supervised-Learning-Challenge-2

This project highlights the use of KNN, SVM, Decision Tree and Random Forest Classifiers to predict heart disease in a set of patients. The project also evaluates the models using metrics like Accuracy, Classification Report (Precision, Recall, F1-Score) and Confusion Matrix.

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hdangle31/DS-Machine-Learning-Flights-2022

Predict Flight Cancellation Using Random Forest, XGBoost, Logistic Regression and Naive Bayes

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syedabdullahbukhari77/DS-Machine-Learning

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

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dhruvv1402/Spam-Detection-Python-

This project is a Spam Detection System built using Python. It classifies SMS messages as spam or ham (not spam) using machine learning techniques.

Language: Python - Size: 209 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

michael-map/CapStone-Project-2025

Shaping a Secure Digitalize Future: Predicting and Preventing Bank Fraud ~ Capstone Project

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Riciokzz/Travel-Insurance-Prediction

Travel Insurance Prediction project.

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VED-PRAKA5H/Calories-Burnt-Prediction

Calories Burnt Prediction using FastAPI and Machine Learning!

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nakulpandit/ml_1

Machine Learning

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caiquemiranda/machine-learning-algorithms-python

machine-learning-algorithms

Language: Python - Size: 2.93 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Yaa-de-champ/Machine-Learning

for various machine learning projects

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mikayelgr/ml-forecast-ev-kpis

Forecasting EV growth and key metrics using supervised ML, developed for Stanford's DATASCI112 Principles of Data Science.

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hamzakamelen/Heart-Disease-Prediction

A Complete Machine Learning Heart Disease Prediction App

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Molingejr/machine_learning_models

Applying machine learning models to make predictions and find patterns within data

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enshefalogram/ml-score-pred

This project is designed to make your life... predictable!

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kevinwood15/Python_ML_Classification_Modeling

This project uses GaussianNB, Random Forest, and AdaBoost Classification Models to predict the income category of individuals with US Census Data

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putriapril72/EDA_and_Supervised-Regression

aims to understand the characteristics, structure, and important components of the dataset and learning process by giving marked data to the model.

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kurnia-raif/ml-salary-prediction

Pada bagian ini silahkan bisa menjelaskan bancground problem yang ada pada project anda. Jelaskan Situation (problem2nya) dan juga berkaitan dengan Task (tujuan, goals, yang mau dicapai dan dikerjai).

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McGill-MMA-EnterpriseAnalytics/PAWsitive-Tails-Shaping-Brighter-Futures-for-Shelter-Pets

This project is a comprehensive data science initiative focused on improving the lives of animals in shelters. We aim to leverage advanced analytical methods to predict shelter animal outcomes and optimize resource allocation.

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EversonYT09/Liver_Cirrhosis

This project aim to understanding the factors contributing to liver cirrhosis, analyzing its impact, and possibly predicting disease outcomes using machine learning. It might also explore survival analysis or risk stratification for liver cirrhosis patients.

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ayushcodes13/Machine-Learning-Practice

This repository contains hands-on projects and implementations of various machine learning techniques.

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arush18/Heart-Disease-Prediction

Heart Disease Prediction using Machine Learning with data preprocessing, model evaluation, and performance analysis.

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arush18/Customer-Churn-Prediction

Customer Churn Prediction using Machine Learning with data preprocessing, feature engineering, and model evaluation.

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VivekRamchandani/ML-Basics

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arush18/Stock-Price-Prediction

Stock Price Prediction using Machine Learning, featuring data preprocessing, time series analysis, and model evaluation.

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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.

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Revati-N/AI-DS-Projects

Collection of AI, DS and ML Projects

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Y-R-A-V-R-5/House-Price-Prediction

House Price Prediction Using Machine Learning: A project using Linear Regression, Ridge Regression, Decision Tree, and Gradient Boosting models to predict property values based on key features. Includes EDA, data preprocessing, and performance comparison. **Skills:** Python, Machine Learning, Data Analysis, Regression Models, EDA

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vidhyarth08/Machine-Learning

Machine learning algorithms

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anhvu2201/Churn_Users_Prediction_using_Supervised_and_Unsupervised_ML

Develop and train an supervised machine learning model to identify potential churn users. Additionally, segment these users into distinct groups using an unsupervised machine learning model to enable tailored marketing strategies.

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s-erzv/SalaryPrediction-ML

This project builds a supervised machine learning model to predict salaries based on work experience using the salary_data.csv dataset (100 records, 3 columns). It compares Linear Regression, Decision Tree, and Random Forest to determine the best approach for salary prediction.

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mayhixza/breast-cancer-classification

Classified tumors as malignant or benign using various supervised ML models

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mattiamanna2203/TesiMagistrale

Files used for my Master's thesis in Data Science titled "Identification of Critical Nodes in Differential Co-Expression Networks of TEPs Transcriptome for Diagnostic Applications."

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NoveliaYuki4982/ML-root_finder

Project that trains different ML models to find the best one at finding the root of a sentence given a free tree.

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ketrinnatasya21/Python_Classification_BreastCancer

This project evaluates classification algorithms for breast cancer prediction using the Breast Cancer (Diagnostic) dataset. It compares the performance of Decision Tree, Random Forest, Logistic Regression, and Naive Bayes to classify cancer as malignant or benign.

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VietDucNg/NeukalenMap_RF_clasification

Mapping species in Neukalen, Germany from 2020 to 2022 using Python based on Random Forest classifier and UAV multispectral images

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niyas6161/ML-PROJECTS

ML Projects

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sifatahammed/Analysis-of-Deep-Learning-Models-for-Emotion-Recognition

The experiment developed a framework for comparing the performance of various deep learning models for emotion recognition using EEG data.

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syang76/machine_learning_algorithms

This code demonstrates how to construct pipelines to perform grid search to compare various supervised machine learning algorithms.

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Rushil-K/MLM-Project--2-Individual-Supervised-and-Unsupervised-Learning-Import-Export

Performed Supervised and Unsupervised learning on the Import/Export Dataset individually.

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diegodemiranda/classification_models

Repository for classification models implemented in machine learning.

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singhdivyank/Sweet-Sense-AI

Integrate binary classifier in a website to predict diabetes. Tech: XG Boost, AWS ECS, JavaScript

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VNAZZARENO/DVA263-group-4-2024

DVA263 INL1

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alexgaarciia/Titanic

Language: R - Size: 582 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

btognozzi/SchoolWork

Portfolio of project work through master's program.

Language: Python - Size: 32.2 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

oyy-krishna/Multiple-Disease-Pridictor

This is a Supervised Machine Learning model for predicting multiple diseases like heart disease, diabetes, etc.

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theo-liang/Python-Project-Analysis-for-ClimateWins

This project analyzes historical weather data to identify patterns and predict future weather conditions, focusing on extreme events and temperature trends across Europe.

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anurima-saha/LA_Crime_Prediction_Supervised_ML

Supervised ML model trained on LAPD data with attributes like crime location and time of occurance along with victim details. Random Forest and XGBoost algorithms used to determine if a given crime will remain unresolved along with the probabilty of resolution.

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eshambr/Case-Study-Flight-Delays

This study involves building a logistic regression model to predict flight delays based on a given dataset. The dataset contains flight information such as origin, destination, carrier, departure time, and day of the week. The objective is to evaluate the model's ability to classify flights as "delayed" or "ontime".

Language: R - Size: 26.4 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

KizMan-23/supervised_models

Classical prediction of future data using models trained by labeled data

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BLinKSta1Ker/Spam-Mail-Classification

Supervised ML model using Logistic Regression model to classify an email as Ham or Spam

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theo-liang/Python-and-Tableau-Project-Gun-Violence-in-America

This project analyzes gun violence incidents in America to identify trends related to location, time, gun types, and demographic factors.

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NadaAbuIssa/Introduction-to-ML-with-TensorFlow

completed Projects for "Introduction to ML with TensorFlow"

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madrian98/WorldHappinessPython

World Happiness - Data Analysis & Mining & Visualization & Machine-learning with Python

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Nate-Sheibley/crypto-clustering

investigation of machine learning dimensionality reduction

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sagprr/Data_Science

A Data Science repository showcasing projects in data analysis, NLP, image processing, and generative AI/ML. Includes detailed EDA, feature engineering, model building, and evaluation using Python, Pandas, Scikit-learn, and Matplotlib.

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IshtishadAlamTishad/Machine-Learning

respository contains my Machine learning works

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investwl/dsf_supervised_classification

This repository is used to upload Digital Skill Fair's Code by dibimbing.id

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cliffordnwanna/MICROSOFT_MALWARE_PREDICTION

With this project, I explored how machine learning can enhance malware detection and prediction. The insights gained from both supervised and unsupervised techniques can be used to develop more robust and accurate cybersecurity solutions.

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wlopezm-unal/Titanic_ship-streamlit

Machine Learning model, where using titanic ship data and see if is be able to predict if a passager was salved or died. This apply use Machien learning (Random Forest, gassianNB and Logistic Regressión) . Further, using streamlit together to FastApi be able to see the predict result

Language: Python - Size: 2.91 MB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

AyahIbrahim/predictive-modelling-retail

This project uses a dataset from the UCI Machine Learning Repository, detailing transactions from a UK-based online retailer. It aims to analyze sales trends and customer behavior using the Holt-Winters model to forecast annual revenue and RFM Analysis to enhance marketing strategies, driving revenue growth.

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uday160386/understanding-gen-ai-ml

repo contains sample code snippets on #ML, #DeepLearning, #GenAI topics

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HusnuBarisBaydargil/ConvNext-Medical-Imaging

A simple ConvNext model for 2D or 3D image classification using NIfTI files

Language: Python - Size: 37.1 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

iamandreatonina/Network_based_Data-Analysis-

Project for the course of Network Based Data Analysis :computer:

Size: 28.4 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

fahmizainal17/Car_Price_Prediction_Project

This repository is dedicated to developing a model for predicting car prices in Malaysia, utilizing various data science techniques and machine learning algorithms.

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BhaveshDwaram/Medical-Insurance--Cost-Prediction

A Supervised ML based web app which helps to predict your medical insurance premium costs

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sasuke1036/Sentimental-analysis-flask

Sentimental-Analysis-Webapp

Language: CSS - Size: 1.4 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Kidaha12/CryptoClustering

Language: Jupyter Notebook - Size: 65.4 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

burcuyesilyurt/Teco_Customer_Segmentation

Develop Machine Learning model to predict customer churn.

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ananty1/movie_recommendation_tmdb_dataset

Language: JavaScript - Size: 3.01 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

norandom/log2ml

Master Thesis: Development and Evaluation of Software for Forensic Log-Analysis Using Machine Learning and Genetic Programming

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ConradKleykamp/Supervised-News-Text-Classification-with-DistilBERT

Classifying news articles about 'health' or 'wellness' using DistilBERT

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codeasarjun/house_price_prediction

This tool utilizes Python, Flask, and Linear Regression to predict house prices based on housing data from Kaggle. Whether you're a real estate enthusiast or just curious about predicting house prices, it provides an intuitive interface to explore and predict potential prices.

Language: Python - Size: 50.8 KB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Sudarsann27/Basic_machine_learning_algorithms

Basic Machine learning algorithms using scikit-learn and other fundamental libraries

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