NumPy
NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/muhammadadilnaeem/kidney-disease-classification-using-mlflow-and-dvc
Kidney disease is a significant health issue worldwide. Early and accurate classification of kidney diseases can help in better treatment planning and patient management. This project focuses on building a robust classification model, ensuring reproducibility and scalability.
github numpy python streamlit tensorflow
Last synced: 07 Apr 2026
https://github.com/coderooz/image_classification_transfer_learning
This project involves using transfer learning to classify images into categories such as cats vs. dogs by leveraging a pre-trained model like VGG16 or ResNet. Transfer learning allows you to adapt a pre-trained model to your specific problem, making the training process faster and often more effective.
colab image-classification matplot neural-network numpy python tensorflow vgg16-model
Last synced: 20 Apr 2026
https://github.com/Udacity-MachineLearning-Internship/Support-Vector-Machine
Implementing SVM's using pandas and sklearn in python
numpy pandas sklearn support-vector-machines svm
Last synced: 17 Jul 2025
https://github.com/pkx8326/blackjack-weighted-random-choices-visualization-with-numpy-and-python
This is a small project to test and visualize the result of the weighted probability capability of Python's numpy.random.choice()
blackjack blackjack-game choice jupyter-notebook numpy python random weighted-probability weighted-random
Last synced: 04 May 2026
https://github.com/luona-zhang/kaggle-data-science-competitions
This repository contains code developed for participating in Kaggle Data Science competitions.
fitting-algorithm machine-learning model-evaluation numpy pandas scikit-learn seaborn tensorflow
Last synced: 07 Apr 2026
https://github.com/priyanshii1511/edge-detection-methods
Repo for implementation of various edge detection techniques.
cv2 edge-detection image-processing matplotlib numpy opencv python
Last synced: 07 Apr 2026
https://github.com/msikorski93/linear-regression-from-scratch
Different solutions of linear and polynomial regression made from scratch.
from-scratch linear-regression numpy polynomial-regression tensorflow
Last synced: 08 May 2026
https://github.com/yash-dave/creditcard-fraud-detector
An end-to-end Streamlit app for detecting credit card fraud using unsupervised anomaly detection techniques like Isolation Forest, One-Class SVM, LOF, and Autoencoders.
numpy pandas plotly python seaborn streamlit tensorflow
Last synced: 07 Apr 2026
https://github.com/ricardorobledo/data_science_for_beginners
matplotlib numpy pandas python3 scikit-learn
Last synced: 07 Apr 2026
https://github.com/rscr1/tvims_mai_3
Решение курсового проекта «Метод наименьших квадратов»
matplotlib-pyplot numpy statsmodels sympy
Last synced: 28 Oct 2025
https://github.com/vibhore-sagar/stock-movement-analysis-based-on-social-media-sentiment
This project aims to develop a machine learning model that predicts stock movements by analyzing sentiment in social media discussions (Reddit posts).
joblib numpy pandas praw python scikit-learn textblob-sentiment-analysis yfinance
Last synced: 09 Apr 2026
https://github.com/mohammadshabazuddin/secure-image-classification---deep-learning-for-image-based-authentication
This project implements a CNN to classify CAPTCHA images. The code preprocesses images, applies Otsu's thresholding, and uses morphological transformations for character separation. The CNN model includes convolutional, batch normalization, dropout, and fully connected layers. Training, validation, and testing are performed on labeled datasets.
keras numpy opencv pandas pil python tensorflow
Last synced: 08 Apr 2026
https://github.com/NoumanAhmad448/linux_windows_mysql_php_python_cheatsheet
A cheatsheet resource that covers the deep learning libraries.
matplotib numpy panda pytorch torchvision
Last synced: 16 Jul 2025
https://github.com/tomaslopera/modelos-simulacion
jupyter-notebook matplotlib numpy pandas scipy seaborn simulation-modeling
Last synced: 24 Feb 2025
https://github.com/sudip-13/plant-disease-detection
Plant disease detection from leaf uses machine learning to identify diseases for early intervention
cloudinary css docker jwt-token keras matplotlib-pyplot mongodb nodejs numpy reactjs tensorflow tensorflow-serving
Last synced: 09 Apr 2026
https://github.com/kartmaan/fire-simulation
A realistic simulation of fire propagation using thermodynamic and combustion principles, developed in Python with Pygame and NumPy
combustion combustion-models fire fire-simulation heat-transfer ignition materials materials-science numpy pygame simulation thermal-capacity thermal-conductivity
Last synced: 19 Aug 2025
https://github.com/andreazoccatelli/kmeans_fromscratch
kmeans implementation in numpy
clustering kmeans-clustering machine-learning numpy
Last synced: 04 May 2026
https://github.com/ksharma67/partial-dependent-plots-and-individual-conditional-expectation-plots
Individual Conditional Expectation (ICE) plots display one line per instance that shows how the instance's prediction changes when a feature changes. The Partial Dependence Plot (PDP) for the average effect of a feature is a global method because it does not focus on specific instances, but on an overall average.
eda gradient-boosting individual-conditional-expectation linear-regression matplotlib numpy pandas partial-dependence-plot python seaborn sklearn xgboost
Last synced: 12 Apr 2026
https://github.com/RedInfinityPro/Python-Task-Manager
Rating: (7/10): The Python Task Manager, is a user-friendly interface using tkinter library for system monitoring and management. It displays detailed system process information using psutil, with interactive features.
matplotlib numpy psutil pygetwindow tkinter
Last synced: 30 Sep 2025
https://github.com/abideen-olawuwo/netflix
A recommendation engine
linear-kernel matplotlib netflix numpy pandas plotly python seaborn sklearn tfidf-vectorizer
Last synced: 12 Apr 2026
https://github.com/abideen-olawuwo/spam-detection
A spam detection model
matplotlib nltk numpy pandas seaborn
Last synced: 29 Apr 2026
https://github.com/krichelj/dl_bgu_2021
Deep Learning course, Computer Science M.Sc., Ben Gurion University of the Negev, Israel, 2021
computer-science computer-vision computer-vision-algorithms convolutional-neural-networks deep-learning facial-recognition generative-adversarial-network neural-network nlp numpy recurrent-neural-networks rnn siamese-neural-network supervised-learning tensorboard tensorflow tensorflow-models text-generation
Last synced: 03 Feb 2026
https://github.com/kaka-lin/audio-analysis-tools
Audio tools for audio processing and audio analysis
audio-analysis audio-tools matplotlib numpy scipy
Last synced: 22 Jul 2025
https://github.com/artuk009/numericalprogramming
Notes and Code examples for Numerical Programming.
matplotlib numpy pandas python scipy sympy
Last synced: 07 Apr 2026
https://github.com/fioraz/ml-project
Salary Prediction Using Multiple Machine Learning Approaches
machine-learning ml natural-language-processing numpy pandas prediction pytorch tensorflow
Last synced: 12 Apr 2026
https://github.com/sakhileln/multimodal-agent
A beginner-friendly project to build a simple multimodal AI agent. 🦾
agent agents ai keras nlp nlp-machine-learning numpy opencv pillow spacy-nlp tensorflow
Last synced: 07 Apr 2026
https://github.com/kmkurn/text2array
Python library to convert text dataset into arrays.
deep-learning natural-language-processing neural-networks numpy
Last synced: 14 May 2026
https://github.com/ahmedabdalkreem/breast-cancer
It help to know the patient have breast cancer or not and show some of diagram analysis data to know what depenent in this disease that lead to this disease.
matplotlib numpy pandas python sklearn-library
Last synced: 07 Apr 2026
https://github.com/farbodbj/linear_algebra_1401
assignments of linear algebra course in AUT-CE in year 2023
Last synced: 04 Apr 2025
https://github.com/anthippi/naive-bayes-imdb-classification
A custom Naive Bayes classifier for sentiment analysis of movie reviews from the IMDb dataset, utilizing feature selection based on Information Gain and comparing its performance with scikit-learn's BernoulliNB.
classification imdb matplotlib naive-bayes-classifier numpy pandas scikit-learn sklearn
Last synced: 09 Apr 2026
https://github.com/al-ghaly/global-warming-analysis
Analyze the effect of global warming on the average temperature of some of USA states.
matplotlib-pyplot numpy python python-visualization
Last synced: 10 May 2026
https://github.com/pramodyasahan/learn-ml
This repository serves as both a personal learning diary and a resource for others interested in understanding and applying machine learning concepts. The projects are categorized based on the type of ML model and are implemented in Python using libraries like scikit-learn, pandas, and numpy.
classification clustering machine-learning matplotlib numpy pandas regression scikit-learn supervised-learning unsupervised-learning
Last synced: 07 Apr 2026
https://github.com/chewzzz1014/python-libraries
jupyter-notebook learning numpy pandas pygal python seaborn sklearn tensorflow urllib
Last synced: 12 Apr 2026
https://github.com/rajiv2004-cloud/the-wine-project
AI/ML mini Project repo
algorithm dataset maachine-learning numpy prediction python
Last synced: 02 May 2026
https://github.com/kristijanh1998/reu-summer-internship
Helium Network Blockchain Data Analysis - Big data mining research project for Cybersecurity Research in a Multidisciplinary Environment internship program (Old Dominion University, Summer 2022)
analytics api big-data blockchain-technology cryptocurrency data-mining data-science helium-blockchain helium-network internet-of-things json matplotlib numpy pickle python requests-library-python
Last synced: 10 Apr 2026
https://github.com/alanmenchaca/numpy-notes
collection of notes to learn numpy!
jupyter-notebooks numpy python
Last synced: 08 May 2026
https://github.com/RedInfinityPro/PygameCicruit
Rating: (6/10) The code combines a Pygame GUI application with a PySpice circuit simulation, providing a user-friendly interface with buttons, menu options, dropdown menus, input boxes, sliders, and text elements.
matplotlib numpy os pygame pyspice random sys
Last synced: 30 Sep 2025
https://github.com/kientech/breast-cancer-classification-using-machine-learning
The goal is to leverage data-driven models to assist in the early detection and diagnosis of breast cancer, potentially aiding healthcare professionals in making informed decisions
data-science machine-learning numpy pandas python3 scikitlearn-machine-learning seaborn
Last synced: 22 Mar 2025
https://github.com/offthetab/gans
Just testing out different GAN models
gans matplotlib numpy seaborn torch torchvision
Last synced: 19 May 2026
https://github.com/RedInfinityPro/CircuitPythonProjects
Rating: (4/10) This Python script simulates circuits using PySpice, importing libraries like NumPy and Matplotlib. It defines voltage divider, diode circuits, subcircuit definitions, DC sweep analysis, and simulates each circuit using the simulator.
matplotlib numpy os pyspice sys
Last synced: 30 Sep 2025
https://github.com/aneeshmurali-n/ann-diabetes-prediction
Predicting diabetes progression using an Artificial Neural Network (ANN). This project leverages the scikit-learn diabetes dataset for training and evaluation. Includes data preprocessing, model building, and performance visualization.
ann data-preprocessing data-visualization deep-learning diabetes-prediction exploratory-data-analysis keras machine-learning matplotlib neural-network numpy pandas regression scikit-learn seaborn tensorflow visualization
Last synced: 07 Apr 2026
https://github.com/farzeennimran/fashion-mnist-dataset-classification-using-neural-network
Implementation of a Multi-layer Perceptron classifier with hyperparameter tuning and k-fold cross-validation employing GridSearchCV for classifying images on the Fashion MNIST dataset 👗👚👖
artificial-intelligence data-analysis data-mining data-science dataset deep-learning fashion-mnist-dataset gridsearchcv hyperparameter-tuning kfold-cross-validation machine-learning multilayer-perceptron-network neural-network numpy pandas python sklearn
Last synced: 03 Apr 2026
https://github.com/jezbravo/lstm
Stock predictions with LSTM
jupiter-notebook keras keras-neural-networks keras-tensorflow lstm lstm-model lstm-neural-networks machine-learning matplotlib numpy pandas pandas-dataframe python scikit-learn scikitlearn-machine-learning stock-price-prediction
Last synced: 08 Apr 2026
https://github.com/carlescn/snake_game
An implementation of the classic Snake game using Pygame and NumPy.
numpy pygame python snake-game
Last synced: 15 Apr 2026
https://github.com/RedInfinityPro/DrawImages
Rating: (7/10) The code uses Python's Turtle module to create a canvas image, converting it to grayscale, and then placing dots at each pixel's location based on its intensity.
Last synced: 30 Sep 2025
https://github.com/dmarks84/coursework_project_ml-classifier-eval-selection
Project for University of Michigan Applied Data Science Specialization -- Predicted viewer engagement based on features related to video metrics; evaluated a large set of classifiers under different scoring metrics to select the "optimal" one.
classification cross-validation data-modeling data-reporting data-visualization databases dataframes eda grid-search matplotlib numpy pandas python scikit-learn statistics supervised-ml
Last synced: 02 Apr 2026
https://github.com/emanuelefavero/machine-learning
This repository contains code for various machine learning concepts and algorithms
algorithms machine-learning numpy pandas python
Last synced: 13 Apr 2026
https://github.com/athiyaman-m/brain-tumor-classification-using-deep-learning
• This deep learning model is developed to classify and identify different types of brain tumors, as well as determine their existence, using Convolutional Neural Networks. This is achieved through the training and testing of 3264 MRI images.
keras numpy opencv pandas sklearn tensorflow
Last synced: 08 Apr 2026
https://github.com/hansalemaos/a_pandas_ex_df_to_string
Just a function to convert everything in Pandas DataFrames / Series to string
Last synced: 19 Jan 2026
https://github.com/fikri-rouzan/energy-consumption-prediction
Final Project for the AI/ML Weekly Class by Google Developer Group on Campus (GDGoC) UIN Jakarta.
jupyter-notebook matplotlib numpy pandas python scikit-learn scipy seaborn
Last synced: 07 Apr 2026
https://github.com/fwcd/minq
Tiny quantum gate library based on NumPy
numpy python quantum-computing
Last synced: 02 Jan 2026
https://github.com/rajatnai49/data-science-practices
In this, I am adding all the Python exercises with the solutions related to data handling, analysis, and visualization using libraries such as NumPy, Pandas, and Matplotlib for data analysis and visualization.
jupyter-notebook matplotlib numpy pandas python
Last synced: 09 Apr 2026
https://github.com/thiagohrcosta/calculator-app
Calculator APP is a Python-based API developed as part of the Rockeseat specialization in Python. The project simulates a real-world application while applying best practices in software design, architecture, and scalability. The main focus is on:
api design-patterns flask numpy python
Last synced: 08 May 2026
https://github.com/jpcadena/pharmacy-prices-prediction
Prices prediction project for Pharmacy products.
artificial-intelligence data-analysis data-science deep-learning keras machine-learning machine-learning-models neural-network numpy pandas pharmacy prediction price-prediction pylint python scikit-learn supervised-learning tensorflow
Last synced: 07 Apr 2026
https://github.com/unikraft/lib-python-numpy
The fundamental package for scientific computing with Python.
library numpy unikraft unikraft-library
Last synced: 14 May 2026
https://github.com/mattmoony/ann_mnist
Simple self-written ANN powered by NumPy to classify handwritten digits of the famous MNIST Dataset. ✍️
adam ann deep-learning learning-algorithm machine-learning ml mnist mnist-handwritten-digits momentum neural-net neural-network normalization numpy regularization relu sigmoid tanh
Last synced: 09 Apr 2026
https://github.com/muhdhammad/machine-learning
Crafted for hands-on learning and implementation of ML with scikit-learn
data-science jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 07 Apr 2026
https://github.com/shweta189/sms-spam-detection
Detecting Spam SMS's messages using machine learning algorithms.Utilizing NLP techniques such as tf-idf vectorization and machine learning algorithms like naive bayes and logistic regression for classifications. Integrated with Streamlit to create an interactive web app where users can input a message and instantly check if it's spam or not.
eda machine-learning-models nltk numpy pandas plotly python seaborn streamlit
Last synced: 07 Apr 2026
https://github.com/shubh-bharadwaj/zomato-dataset-analysis
Zomato Dataset Analysis
data-analysis data-science data-visualization numpy pandas python sklearn
Last synced: 07 Apr 2026
https://github.com/manshreet27/mrs
This Movie Recommendation System is a web-based application built using Python and Streamlit, designed to provide movie recommendations based on user preferences. It utilizes TMDb API for fetching real-time movie details and Kaggle's TMDB 5000 Movies dataset for content-based filtering.
numpy pandas python scikit-learn streamlit tmdb-5000-movies-dataset-from-kaggle tmdb-api-for-fetching-real-time-movie-data
Last synced: 07 Apr 2026
https://github.com/maheera421/supervised-machine-learning
Implementation of necessary supervised machine learning algorithms for regression and classification.
classification classification-models cost-function feature-engineering feature-scaling gradient-descent linear-function linear-regression logistic-loss logistic-regression machine-learning matplotlib numpy regression-models regularization-to-avoid-overfitting scikit-learn sigmoid-function squared-error-cost-function vectorization
Last synced: 11 Apr 2026
https://github.com/a-poor/qgates
Small helper library for working with quantum matrices
bell-states numpy pypi pypi-package python quantum-computing
Last synced: 04 May 2026
https://github.com/shekharkram/project
A collection of data analytics projects showcasing skills in data cleaning, exploration, visualization, and basic SQL queries. Designed to demonstrate entry-level data analyst competencies using real-world datasets and tools.
datacleaning excel jupyter-notebook mysql numpy pandas postgresql python sql
Last synced: 07 Apr 2026
https://github.com/vivekmodak3/multiple-disease-prediction-system--streamlit-webapp
This repository contains the codebase for "Multiple Disease Prediction Streamlit App". The training notebooks & the datasets are also provided in the respective folders.
machine-learning-algorithms numpy pandas python3 scikitlearn-machine-learning streamlit
Last synced: 07 Apr 2026
https://github.com/Kikobuf/3d-file-toolkit
Pure-Python toolkit for inspecting, editing, converting, and analyzing 3D print files, supports 3MF, STL, OBJ, PLY, and GLB. Detects source software (Bambu, Orca, Prusa, Cura, Fusion 360, etc.), checks compatibility across 15 CAD and slicer programs, and works with any AI coding agent (Claude, Cursor, ChatGPT, Manus). Zero dependencies beyond numpy
3d-printing 3mf ai-agent bambu chatgpt cluade cluade-code gemini manus numpy obj orca-slicer prusaslicer python stl
Last synced: 20 May 2026
https://github.com/anathonic/big-data-mining-project
This repository contains the implementation of a machine learning project aimed at predicting movie ratings based on user reviews and tags. The data used for this project comes from the MovieLens dataset, which includes ratings and tags for over 9000 movies collected from 1995 to 2016.
decision-tree-regression gradient-boosting-regressor linear-regression machine-learning matplotlib mlp-regressor numpy pandas python random-forest-regression scipy sklearn
Last synced: 26 Jun 2025
https://github.com/samuelbarbosadev/dataexpert
Elaborar modelos estatísticos, criar algoritmos, solucionar problemas e expandir a estratégia de negócios.
classification clustering crisp-dm data-cleaning data-visualization data-wrangling descriptive-statistics inferential-statistics inferre machine matplotlib numpy pandas pyplot recomendation-algorithm regresion-lineal seaborn skit-learn supervised-machine-learning
Last synced: 17 Apr 2026
https://github.com/open-risk-academy/academy-course-dat31055
Support material for Academy course DAT31055
linear-algebra matrix-libraries ndarray numpy
Last synced: 20 May 2026
https://github.com/edegan-furb/conwaygameoflife
This project is a simulation of Conway's Game of Life using Python with the Pygame library.
conways-game-of-life numpy pygame python
Last synced: 29 Apr 2026
https://github.com/badranalyst/restaurant-reviews-sentiment-analysis-nlp-case-study
This project analyzes restaurant reviews using Natural Language Processing (NLP) for sentiment analysis. It covers data exploration, pre-processing (NLTK text cleaning), model building, prediction, and deployment. The goal is to predict sentiment from reviews using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
data-analysis data-science eda exploratory-data-analysis matplotlib-pyplot model model-building numpy pandas pre-processing predictive-modeling python seaborn
Last synced: 13 Apr 2026
https://github.com/badranalyst/udemy-course-data-analysis-with-pandas-and-visualization-libraries
Explores Udemy course data using NumPy and Pandas for data manipulation. Provides insights into course topics, ratings, and pricing with visualizations created using Matplotlib, Seaborn, and Plotly.
data-science dataset eda exploratory-data-analysis matplotlib matplotlib-pyplot numpy pandas plotly python seaborn
Last synced: 16 Apr 2026
https://github.com/Akhil-krishnan-r/super_market_analysis
The growth of supermarkets in most populated cities are increasing and market competitions are also high. This dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this dataset
data-visualization matplotlib numpy pandas seaborn
Last synced: 03 Feb 2026
https://github.com/myahninsi/housing-price-prediction-ml
Final project for Big Data Visualization for Business Communications 01 (DSMM Group 1). Analyzes housing data, identifies key price factors, and builds predictive models using machine learning. Includes Power BI dashboards for interactive visualizations and Flask for deployment.
elastic-net lasso-regression linear-regression matplotlib numpy pandas ridge-regression scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/girishkolhe/bike-sharing-multiple-linear-regression-assignment
Assignment for building a linear regression model for predicting the demand for bike sharing
data-science data-visualization eda linear-regression machine-learning matplotlib numpy pandas-dataframe python rsquare-values seaborn sklearn-library statsmodels vif
Last synced: 02 May 2026
https://github.com/linsanity03/particle-in-potential-well
Visualizing the Wavefunction and Probability density of a Particle in a 1D Infinite Potential Well
jupyter-notebook matplotlib-pyplot numpy probability-density schrodinger-equation wavefunction-visualisation
Last synced: 28 Apr 2026
https://github.com/nermeenkamal/image-processing-system
This Python application provides a graphical user interface (GUI) for performing various image processing operations. Users can upload, manipulate, and save images using a range of techniques, including grayscale conversion, binary conversion, histogram equalization, and more.
matplotlib numpy opencv python tkinter
Last synced: 01 May 2026
https://github.com/rosa-lpz/machine-learning-zoomcamp-2025
Machine Learning Zoomcamp 2025 from DataTalksClub. Based on repository: https://github.com/DataTalksClub/machine-learning-zoomcamp/tree/master
aws deep-learning docker flask kserve kubernetes machine-learning machine-learning-algorithms machine-learning-projects metrics-visualization neural-networks numpy pandas python scikit-learn tensorflow xgboost
Last synced: 06 Apr 2026
https://github.com/rajesh9943/web-scraping-analysis-of-top-us-company-revenue-growth-in-2023
Explore the landscape of US business growth in 2023 with our dynamic project, 'Web Scraping for US 2023 Revenue Growth.' Utilizing advanced web scraping techniques, we unveil insights into the top companies driving economic expansion.
cleaning-data data data-analysis data-visualization manipulation numpy pandas pre-fill
Last synced: 16 Aug 2025
https://github.com/iv4n-ga6l/geometric-shapesrecognizer-in-image
Geometric shapes recognizer API built in python
api-rest flask numpy opencv python shaperecognitionapi
Last synced: 20 Apr 2026
https://github.com/separatrixxx/tmandcm_labs_3_sem
👓 Laboratory works for 3 semester of MAI on theoretical mechanics
matplotlib numpy python theoretical-mechanics
Last synced: 20 May 2026
https://github.com/gauravpatil04/ml
This repo is on "Basics skills required for Machine Learning"
matplotlib numpy pandas python seaborn
Last synced: 11 Jul 2025
https://github.com/NishuMehta/Netflix-Data-Analytics
Netflix Data: Cleaning, Analysis and Visualization
jupyter-notebook matplotlib-pyplot numpy pandas python python3 seaborn vscode
Last synced: 14 Mar 2025
https://github.com/aikogamer101/exploratory-data-analysis
Using Python to analyze a beauty product dataset. A complete EDA.
analytics business-intelligence datacleaning datadiscovery dataengineering dataexploration folium matplotlib numpy pandas python3 seaborn
Last synced: 14 Mar 2025
https://github.com/HarshilChampaneri/Titanic_Survival_Prediction
I have Created a Machine Learning Model based on the Logistic Regression algorithm. This Model is capable of predicting whether the person will survive or not survive based on the given data of that particular person.This Model is highly accurate in predicting the result.
artificial-intelligence jupyter kaggle logistic-regression machine-learning matplotlib numpy pandas python seaborn titanic-kaggle titanic-survival-prediction
Last synced: 30 Dec 2025
https://github.com/jigyasag18/fake-news-prediction-project
The Fake News Prediction App Repository offers a machine learning project that focuses on identifying the authenticity of news articles as fake or real. It uses a dataset of 20,000 articles and employs methods such as TF-IDF vectorization and the Porter stemming algorithm, achieving around 97% classification accuracy with logistic regression model.
data datapreprocessing logistic-regression machine-learning machine-learning-algorithms numpy pandas prediction stemming vectorization
Last synced: 08 Jun 2026
https://github.com/towaquimbayo/comp-4949
BCIT Computer Systems Technology (CST) - COMP 4949 (Big Data Analytics Methods)
arima big-data django django-rest-framework html html5 keras machine-learning matplotlib numpy pandas predictive-analytics predictive-modeling python pytorch scikit-learn sklearn statsmodels tenserflow
Last synced: 09 Apr 2026
https://github.com/RedInfinityPro/RedditBot
Rating: (7/10) This script collects, preprocesses, trains models, processes images, and handles files, handling data from Reddit, image processing, and file handling.
autocorrect bytesio concurrent nltk numpy openpyxl pandas pil praw random re requests secrets sklearn string tensorflow time urllib
Last synced: 30 Sep 2025
https://github.com/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.
jupyter-notebook machine-learning matplotlib numpy pandas plotly randomforestclassifier sckit-learn seaborn streamlit-webapp
Last synced: 01 May 2026
https://github.com/fjohnson87/planning-and-feasability
Data-driven feasibility analysis using pandas, seaborn, and FAO food supply data
Last synced: 04 May 2026
https://github.com/atharvkadammm/suicide-prediction-system
A machine learning project predicting suicide risk based on multiple socio-economic and environmental factors using data mining techniques.
csv data-analysis data-science data-visualization datamining exploratory-data-analysis feature-engineering machine-learnin matplotlib mental-health numpy pandas riskassesment seaborn sklearn suicide-prediction supervised-
Last synced: 01 Jul 2025