Bloodwingv2/End-to-End-MLOps-Pipeline

End-to-End-MLOps-Diagnosis-Pipeline A hands-on MLOps project for disease diagnosis using machine learning — built with Python, Scikit-learn, XGBoost, FastAPI, Streamlit, MLflow, Docker, PostgreSQL, GitHub Actions, and Render. 🔗 Live Backend: https://mlops-1tdv.onrender.com

Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: about 19 hours ago - Pushed at: about 20 hours ago - Stars: 1 - Forks: 0

amr-yasser226/machine-learning-for-network-intrusion-detection

A complete pipeline for network intrusion detection comparing label encoding and one‑hot encoding, with SMOTE resampling, feature selection, and ensemble modeling using scikit‑learn and XGBoost, also this was phase one of our University's "CSAI 253- Machine Learning" course.

Language: Jupyter Notebook - Size: 6.47 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

MorsalinIslamShapon/Diabetes-Prediction-SystemV3

This repository contains a machine learning model that predicts diabetes using user health data. It features an interactive web interface built with Streamlit and provides insights into model predictions through SHAP and permutation importance. 🐙🌟

Language: Jupyter Notebook - Size: 26.5 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

Shankhadweep/Diabetes-Prediction-SystemV3

This project demonstrates a machine learning solution for predicting diabetes based on user-provided health data. The application uses Streamlit for an interactive web interface and advanced interpretability tools like SHAP and permutation importance to explain model predictions.

Language: Jupyter Notebook - Size: 14.2 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

Dan-Boat/PyESD

Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.

Language: Python - Size: 68.5 MB - Last synced at: about 4 hours ago - Pushed at: 5 months ago - Stars: 54 - Forks: 11

IlijaMihajlovic/Random-Forest-Classification

This project demonstrates how to build a Random Forest Classifier to predict music genres using audio feature data from Spotify. The model is trained on a curated subset of the spotify_tracks.csv dataset, focusing on popular genres such as pop, country, hip-hop, rock, latin, edm and more.

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IlijaMihajlovic/Amazon-Stock-Price-Forecasting-Using-LSTM-Neural-Networks

This project aims to forecast Amazon's stock prices using Long Short-Term Memory (LSTM) neural networks, implemented with PyTorch and scikit-learn.

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anushkaBala/KRISHI-JYOTHI

Krishi Jyothi is an intelligent agricultural support platform built to assist farmers with smart decision-making in crop selection, weather planning, pest management, and market trends. Designed with accessibility and practicality in mind, it delivers real-time data and personalized insights.The goal of Krishi Jyothi is to bridge the digital divide

Language: TypeScript - Size: 135 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

SomyaAgar/Bengaluru_House_Price_Prediction

Language: Jupyter Notebook - Size: 271 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

itsvalls/Nexus_For_Entrepreneurs

A website for connecting with entrepreneurs and detecting company trends

Language: JavaScript - Size: 132 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

maryamesh/Forecasting-and-Analysis-of-Geomagnetic-Storms-and-Ionospheric-Variations

Forecasting and Analysis of Geomagnetic Storms aims to predict VTEC values to forecast geomagnetic storms. Using time series data from Egyptian Space Agency and Cairo stations, along with NASA’s OMNI data, the project employs an RNN and advanced feature engineering. Outputs are confidential, but the code is available.

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Abdiasarsene/LexEmotion-An-Intelligent-Dashboard

LexEmotion is a cutting-edge NLP dashboard designed for legal professionals, law firms, and investigators. It leverages the latest advances in Natural Language Processing to extract emotions, detect key themes, and summarize incident or legal reports — in multiple languages and formats.

Language: Python - Size: 208 KB - Last synced at: 25 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

maddieemihle/machine-learning-emotional-training

This project explores the development of machine learning models to classify human facial expressions using the FER2013 dataset. It evaluates various architectures, including VGG, ResNet, EfficientNet, and custom CNNs, to identify emotions from facial images.

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Gustavocaris/Data_Science

Meus estudos, resumos, projetos e aprendizados sobre ciência de dados.

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AAdewunmi/Diabetes-Risk-Prediction-Project

Diabetes Risk Prediction (Data Science) Project: Tech Stack: Python, Pandas, Scikit-learn, Matplotlib, Seaborn, Scipy, Joblib

Language: Python - Size: 1.35 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

acoiman/loan_prediction

The aim of this exercise is to use Machine Learning techniques to predict loan eligibility based on customer details.

Language: Jupyter Notebook - Size: 823 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

goatdev7/Early-Stage-Diabetes-Risk-Prediction

Machine Learning Model trained on Patients data to predict diabetes in a patient based on the input data points.

Language: Python - Size: 5.86 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

fayzi-dev/Scaling_data

Scaling Data (Caling and Normalizing data)

Language: Python - Size: 5.86 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

Vaibhav-kesarwani/Plagiarism-checker

This repo consists of a source code of a Python script which detects plagiarism in a textual document using cosine similarity.

Language: Python - Size: 9.77 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

PhenomSG/ml-notebook

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

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adityakashyap5047/MathScope

MathScope is your smart companion for predicting math exam scores based on your learning patterns and past performance. Just input key academic details—like reading and writing scores—and let MathScope provide accurate, data-driven insights in seconds

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EsraaKamel11/Predict-Customer-Churn

Predicting customer churn using ML with clean code, EDA, and model evaluation.

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michael-bmstu/clustering_recomend_system

An implementation of a recommender system based on clustering anime user ratings

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hetuvpatel/ML-Diabetes-Risk-Progression-Stage

Machine learning project analyzing diabetes risk progression using K-Means and Hierarchical clustering techniques on the Pima Indian Diabetes dataset. 🧠📊

Language: Python - Size: 2.44 MB - Last synced at: about 17 hours ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

DataSpieler12345/python-for-ds-ml

My Python learning experience 📚🖥📳📴💻🖱✏

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adexoxo13/Neural_Network

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

Language: Jupyter Notebook - Size: 402 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

muhkartal/sentinelAI-safetyMonitoring

A real-time intelligent surveillance system designed to detect human falls and anomalous behaviors using deep learning techniques. Includes automated alerting, a monitoring dashboard, and scalable deployment via Docker and Kubernetes.

Language: Python - Size: 362 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

abdul-rafay19/InternIntelligence_MachineLearningIntern

A collection of hands-on projects completed during my Machine Learning Virtual Internship at Intern Intelligence. Includes hyperparameter tuning using Scikit-Learn and Optuna, and deep learning model development for image and text data using TensorFlow, Keras, and PyTorch.

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YousefMousa1/Projects

Using OSbot API, to develop bots that can play the game for me.

Language: Python - Size: 204 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

sethubolt7/DATA_SCIENCE_PROJECTS

A collection of mini data science projects including iris classification, sales prediction, and unemployment analysis. Demonstrates full ML workflow from preprocessing to model building.

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Hedriss10/joyn-rh-machine-learning

Classificador de gênero de filmes com machine learning

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yareva/linear-regression-predictor

Linear Regression Predictor Model

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0ritam/FinLit

A comprehensive financial literacy platform with integrated fraud detection capabilities, built using modern web technologies and machine learning.

Language: TypeScript - Size: 6.42 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

sunilpanda14/PolyToxiQ

A Polymer Toxicity Prediction Tool using PSMILE Strings

Language: Python - Size: 38.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

GZ30eee/mlp

DataVerse is an innovative platform that empowers users with advanced data analysis tools, enabling exploration of various data mining techniques and machine learning models to extract meaningful insights from their data.

Language: HTML - Size: 73.4 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

RafaelRamirez21/breast_cancer_prediction

breast_cancer_prediction using machine learning

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kuennethgroup/PolyToxiQ

PolyToxiQ: A WebApp for Polymer Toxicity Prediction using Transfer Learning from Tox21 Additives

Language: Python - Size: 38.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

venkat-0706/Titanic-Survival-Prediction

A machine learning project predicting Titanic passenger survival using data preprocessing, feature engineering, and model optimization with Logistic Regression, Random Forest, and XGBoost.

Language: Jupyter Notebook - Size: 26.4 KB - Last synced at: 19 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

muhkartal/e-forecast

machine learning-powered energy consumption prediction system that analyzes historical data to forecast future energy usage trends, optimizing efficiency and sustainability.

Language: Python - Size: 85 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

owenl0000/HousePricesProject

Kaggle Project

Language: Jupyter Notebook - Size: 32.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

alevp-dev/Saber11-Analytics

Initial data analysis for an artificial intelligence bootcamp project

Language: Jupyter Notebook - Size: 1.19 MB - Last synced at: 20 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

shirshanag/Netflix-recommendation-ml-model

Netflix Recommendation Model – A machine learning-based recommendation system that predicts and suggests movies/shows based on user preferences

Language: Python - Size: 6.07 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 1

tanigauns7/Uber-Fare-Prediction-

Developed a machine learning model to predict Uber ride prices. Evaluated multiple regression models, including Linear Regression, Ridge, Lasso, ElasticNet, and Random Forest. Conducted comparative analysis to optimize model selection for accuracy and interpretability. Identified key pricing determinants such as distance and time-of-day effects

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davidtstill/Time_Series_Analysis

Testing various time-series tool to predict future movements in the value of the Japanese yen versus the U.S. dollar.

Language: Jupyter Notebook - Size: 212 KB - Last synced at: 28 days ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

Sreyashidey/ai-campaign

A streamlit app

Language: Python - Size: 114 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

muhkartal/xai_dashboard

an interactive AI dashboard for machine learning model analysis and explainability, supports model training, dataset exploration, feature importance analysis, and SHAP-based explanations for both individual predictions and overall model behavior, compare multiple models, visualize insights, and export results seamlessly

Language: Python - Size: 56.6 KB - Last synced at: 13 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

abbaszaidi123/Music-Recommendation-System

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Mayur-Debu/Final_Year_Project

This is a python Flask web app made to predict the house prices based on attributes like no. of rooms, parking facility, etc. The prediction algorithm used at the backend is 'Linear Regression'.

Language: Python - Size: 75.2 MB - Last synced at: 24 days ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 2

akankshakusf/ML_Bird-Strike-Cost-Prediction-Project

This is my Machine Learning Project for the Master Program at USF

Language: Jupyter Notebook - Size: 161 KB - Last synced at: 17 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

CamilaJaviera91/Sales-Prediction-Using-PostgreSQL

This project is designed to extract sales data from a PostgreSQL database, process it, and use a Random Forest model to predict sales quantities. It also visualizes real and predicted sales for better understanding.

Language: Python - Size: 28.3 KB - Last synced at: 24 days ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

ITAXBOX/Machine-Learning-Explorations

Foundational ML projects for learning and experimentation.

Size: 8.79 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

YasinEfeee/ParkSpotter_PreTest_Enviroment

The ParkSpotter project is designed to detect the occupancy status of parking spots in a simulation environment. Using a toy model, a camera system, and a machine learning model, this system identifies whether a parking space is EMPTY or NOT EMPTY in real-time.

Language: Python - Size: 13.5 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

philiptitus/Height-Prediction

Built an ML model to predict height of a person based on their age.

Language: Jupyter Notebook - Size: 595 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

rkschroeder/Portfolio

This repository contains my portfolio of data science projects.

Language: Jupyter Notebook - Size: 9.53 MB - Last synced at: 6 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Udacity-MachineLearning-Internship/Titanic-Survival-Model

Applying Titanic Survival Model with decision trees in python

Language: Jupyter Notebook - Size: 41 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

khaymanii/Wine-Quality-Prediction-Model

This is a model built using Python and Random Forest Classifier which is an ensemble algorithm and also a supervised learning algorithm

Language: Jupyter Notebook - Size: 873 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

khaymanii/Customer_Segmentation_Model

This model was built using Python and KMeans Clustering algorithm

Language: Python - Size: 2.93 KB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

khaymanii/Medical_Insurance_Cost_Prediction-_Model

This Model was built using Python and Linear Regression algorithm

Language: Python - Size: 15.6 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

khaymanii/Heart-Disease-Prediction-Model

This repository contains a model built using python and Logistic Regression algorithm

Language: Python - Size: 4.88 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

khaymanii/Fake_News_Prediction_Model

This model was built using python and logistic regression algorithm

Language: Python - Size: 35.8 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

khaymanii/Gold-Price-Detection-Model

This model is built using python and Random Forest Regressor algorithm

Language: Jupyter Notebook - Size: 4.04 MB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

MTech-Applied-AI/ml_classifier

ML Classifier with Flask API

Language: Python - Size: 3.91 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

hakouguelfen/face-recognition-engine

A machine learning-powered backend for real-time facial detection and recognition, using Convolutional Neural Networks (CNN). This repository focuses on training, learning, and prediction processes for detecting faces in images, designed as the backend for a full facial detection app.

Language: Python - Size: 13.7 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

sang-he0n/MACHINE_LEARNING-practice

Learn Machine Learning + practice sckit-learn

Size: 2.21 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

MemoOrtiz/Data-Science

Aprendizaje acerca de las librerías de Python elegidas para data analytics: Numpy, Pandas, Matplotlib y Scikit-learn y Seaborn. Realización de Proyecto web con modelos de Machine Learning entrenados.

Language: Jupyter Notebook - Size: 62 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

erenokur/machine-learning-playground

Experiment with machine learning and AI algorithms, write guides, and documents.

Language: Python - Size: 41 KB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

micahondiwa/applied-data-science

A collection of 8 Applied Data Science projects.

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gympohnpimol/Last-Mile-Logistics

Language: Python - Size: 6.84 KB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 16 - Forks: 0

Lynk4/AI-ML

Artificial Intelligence (AI) and Machine Learning (ML) ....;)

Language: Jupyter Notebook - Size: 4.64 MB - Last synced at: 4 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

Udacity-MachineLearning-Internship/Feature-Scaling

Applying feature scaling with linear regression in python

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Udacity-MachineLearning-Internship/Regularization

Implementing regularization using sckit-learn

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skyrockets-21/Predicting-Recidivism

Group Project for course Data Mining 95-751 at Carnegie Mellon University

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KareimGazer/Classify-Cifar-100

classifying CIFAR-100 data set using MCSVM and Deep Conv Net

Language: Jupyter Notebook - Size: 469 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

mint-lab/dl_tutorial

Machine Learning and Deep Learning Tutorial

Size: 19.3 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 14 - Forks: 5

aryanyadav-dev/celestial-spectroscopy

Developed a Deep learning model using TensorFlow and Keras to classify synthetic spectral data from celestial objects, including stars and galaxies. Utilizing a Convolutional Neural Network (CNN), the model analyzes spectroscopic features and achieves high accuracy in predicting object classifications.

Language: Python - Size: 299 MB - Last synced at: 20 days ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

amitsgh/jamboree_admission

Predicts graduate admissions based on academic and personal factors like GRE, TOEFL scores, CGPA, and research experience. Uses data analysis, visualization, and machine learning to identify key features and build predictive models.

Language: Jupyter Notebook - Size: 1.62 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Dhruv-0001/Shoe-Hype

A shoe👟 recommendation website.

Language: Python - Size: 288 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 6 - Forks: 0

ishar-machrizzandi/Data_Science

The load_diabetes dataset is actually a dataset for regression (continuous value prediction), but we can change it into a classification dataset to create a simple machine learning program with SVM. For example, we will change the target into a binary classification (eg: target > 140 as class 1, others as class 0).

Language: Jupyter Notebook - Size: 3.28 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

JaewonSon37/Programming_Machine_Learning_Applications1

Language: Jupyter Notebook - Size: 9.8 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

EbadShabbir/K-Means-Clustering

This repository demonstrates the implementation of the K-Means clustering algorithm to segment mall customers based on their annual income and spending behavior. By identifying distinct customer clusters, businesses can gain insights into customer groups and create targeted marketing strategies to improve customer engagement.

Language: Jupyter Notebook - Size: 70.3 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Anupreet02/deep-learning-challenge

The objective of this analysis is to develop a deep learning model capable of predicting whether a charity funded by Alphabet Soup is likely to be successful. The model is built using the charity dataset, which contains various features related to each charity, and is used to classify charities as successful or not based on these features.

Language: Jupyter Notebook - Size: 19.8 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

gesiscss/sexism_custom_classifier

Custom classifiers to detect sexist language.

Language: Jupyter Notebook - Size: 32.2 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 3

bhavyabb/football-match-result-predictor-

Football Predictions Project:- This project predicts football match outcomes by combining web scraping and machine learning. It gathers and cleans match data, then applies predictive algorithms to forecast results, providing valuable insights for football analysis.

Language: Jupyter Notebook - Size: 489 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Ayodimeji1/AI_Linear_Regression

Language: Jupyter Notebook - Size: 1.18 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

ubeydgur/iris-flower-classifier

Classification of iris flowers according to leaf characteristics.

Language: Jupyter Notebook - Size: 245 KB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Thamirisq/hackday_dengue

This was a Machine Learning challenge made in group focused on directing financial resources and community interventions for dengue control. The project was based on fictitious data provided by the DS Team, who organized the challenge. We were a group of five persons who developed the result.

Language: Jupyter Notebook - Size: 3 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

Keshav-kh/Whitebox-1

In-class MLB Project

Language: Jupyter Notebook - Size: 46.9 KB - Last synced at: 5 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

aranzadata/TaxiDemandPredictor

Modelo de regresión de series temporales para predecir la demanda de taxis en un aeropuerto de gran afluencia, optimizando la asignación de la flota mediante la incorporación de características temporales y categóricas utilizando Scikit-learn

Language: Jupyter Notebook - Size: 5.52 MB - Last synced at: 14 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

parth-jatav/Movie-Recommendation-Project

An ML-based movie recommendation system built using a dataset from Kaggle. This project preprocesses movie data to generate recommendations based on cosine similarity. The system uses Python libraries such as Pandas, NumPy, NLTK, and sklearn for data processing and machine learning. The user interface is developed with Streamlit.

Language: Jupyter Notebook - Size: 32.8 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 1

ghanashyam-r/Machine-Learning-Project-CrimeForecast

Machine Learning Project Done on Kaggle as a part of gaining required credits for achieving Diploma in Data Science IITM

Language: Jupyter Notebook - Size: 370 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

pietrapaz/oficina_cd_dados

Arquivos da oficina de Ciência de Dados ✅

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dwija12903/ai-lab

A collection of practical implementations from my AI Labs course

Language: Python - Size: 11.7 KB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Alphan26/Optimal-Logistics-Locator

This is a project in which we estimate the biomass avaibility of places due to their index and determine the optimal preprocessing depot and biorafinery in Gujarat, India

Language: Python - Size: 4.88 KB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

thehamzza/Sentiment-Analysis-of-Movie-Reviews-with-ML

Developed a sentiment analysis system using scikit-learn and XGBoost to accurately classify movie reviews as positive or negative, addressing class imbalance with appropriate techniques to improve customer feedback analysis.

Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

LegolasVzla/django-twitter-spark

Thesis project: topic categorization and sentiment analysis on twitter with Apache Spark

Language: Python - Size: 17.3 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 3

vedantl0101/Stock-Trend-Prediction

Stock Trend Prediction is a project that leverages Long Short-Term Memory (LSTM) neural networks to predict future stock prices using historical data. By integrating advanced machine learning techniques with a user-friendly web interface, it provides insights into stock trends and forecasts.

Language: Jupyter Notebook - Size: 2.48 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0

maryamesh/Breast-Cancer-detection-using-Machine-Learning

Breast Cancer Detection: This project uses machine learning techniques to classify breast cancer as malignant or benign based on features extracted from breast mass biopsies. Models used include SVM, Decision Tree, Naive Bayes, and K-Nearest Neighbors.

Language: Jupyter Notebook - Size: 465 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Md-Emon-Hasan/7-Explore-Different-Classifier-ML-App

A project exploring various classification algorithms, showcasing their implementation, comparison, and evaluation using Python and scikit-learn.

Language: Python - Size: 13.7 KB - Last synced at: 8 days ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

lhcee3/BC-Classification

Breast Cancer classification done using both Machine Learning and Deep Learning.

Language: Jupyter Notebook - Size: 128 KB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

felipenufisnor/statistics-python-linear-regression-advanced-modeling-techniques

Linear Regression: advanced modeling techniques

Language: Jupyter Notebook - Size: 1.8 MB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0