NumPy | Ecosyste.ms: Awesome

https://github.com/abdeldjalilchafai/us-flight-delay-eda

Structured EDA on 2015 US flight delay data. Clean, reproducible notebook using a 6-step data analysis framework for real-world datasets.

data-analysis data-cleaning eda exploratory-data-analysis flight-delays kaggle matplotlib numpy pandas python seaborn

Last synced: 15 Apr 2025

https://github.com/epsoft/tensorflow-basics

Tensorflow Basics

basics numpy tensorflow

Last synced: 28 Feb 2025

https://github.com/lmizner/codecademy_airline_analysis

Using visualization to explore a dataset

histplot jupyter-notebook lmplot math matplotlib-pyplot numpy pandas python seaborn

Last synced: 05 Oct 2025

https://github.com/kumar-o/customer-churn-prediction

🔍 Predict customer churn using a synthetic dataset with advanced models and metrics to enhance business retention strategies and decision-making.

churn-prediction customer-churn-prediction customer-survival-analysis data-science factorization-machines flask-application gridsearchcv libsvm machine-learning model-evaluation numpy pipelines roc-auc scikit-learn seaborn smote survival-analysis xgboost4j

Last synced: 05 Oct 2025

https://github.com/nihanthbhargav/time-series-stock-market

This project combines computer vision and NLP by segmenting pet images with a U-Net model and generating captions using CNN-RNN/LSTM. Using the Oxford-IIIT Pets dataset, it demonstrates a unified pipeline that integrates pixel-level segmentation with automatic caption generation for meaningful image understanding.

matplotlib numpy pandas plotly python scikit-learn seaborn

Last synced: 30 Dec 2025

https://github.com/zuhairzia/titanic-survival-project

This is a Titanic Survival Prediction Model developed using Python, Pandas, Scikit-learn, and Jupyter Notebook. The model predicts whether a passenger survived the Titanic disaster based on features such as age, gender, and passenger class.

csv-dataset flask jupyter-notebook matplotlib numpy pandas pandas-library python scikit-learn seaborn streamlit

Last synced: 05 Oct 2025

https://github.com/zuhairzia/customer-segmentation

📖 About Customer Segmentation using KMeans clustering to analyze demographics, income, and spending. Helps businesses with targeted marketing and customer insights.

joblib matplotlib numpy pandas scikit-learn seaborn

Last synced: 05 Oct 2025

https://github.com/bhuvan-s-prasad/streamlit-regression

A machine learning project that predicts housing prices in California using regression techniques. This project includes comprehensive exploratory data analysis, feature engineering, linear regression modeling, and an interactive Streamlit web application for making predictions.

california-housing-price-prediction exploratory-data-analysis linear-regression machine-learning matplotlib numpy pandas python scikit-learn seaborn streamlit supervised-learning

Last synced: 27 Aug 2025

https://github.com/patilsukanya/assignment-06.-logistic-regression

Used libraries and functions as follows:

classifier concatination confusion-matrix eda linear-models logistic-regression logistic-regression-algorithm logit-model matplotlib-pyplot numpy one-hot-encoding pandas python roc-auc-score roc-curve seaborn

Last synced: 05 Oct 2025

https://github.com/nmerka/practicum_rep

Проекты курса Аналитик данных (Яндекс.Практикум)

jupyter-notebook matplotlib numpy pandas plotly python scipy seaborn sql tableau

Last synced: 31 Jan 2026

https://github.com/ankitgmishra/machinelearning

Continuously deep diving in understanding & advancing my expertise in Machine Learning through ongoing education and hands on experience with practical learning.

artificial-intelligence data-analysis data-cleaning data-gathering machine-learning machinel-learning-algorithms matplotlib numpy pandas python seaborn

Last synced: 29 Jun 2025

https://github.com/luliatuccu/weather_analysis

This project highlights a combination of data science techniques and Python programming to explore real-world weather data.

data-preprocessing eda feature-engineering machine-learning matplotlib numpy pandas regex scikit-learn seab seaborn weather weather-patterns

Last synced: 30 Dec 2025

https://github.com/badranalyst/titanic-survival-prediction-full-data-science-project-classification

This project predicts Titanic survivors using classification models. It includes data cleaning, pre-processing, exploratory data analysis (EDA), categorical feature conversion, model building, and evaluation. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used to analyze and predict survival outcomes.

classification data-analysis data-science eda exploratory-data-analysis machine-learning matplo matplotlib-pyplot ml model numpy pandas predictive-modeling python seaborn

Last synced: 03 Feb 2026

https://github.com/slovnicki/matematicki-softver

homeworks and projects for Mathematical Software course

ipython jupyter latex markdown mathplotlib numpy pandas scikit sympy

Last synced: 06 Oct 2025

https://github.com/parham1998/linear_regression_pytorch

Implementation of a simple Linear Regression model with Numpy & PyTorch library

backpropagation gradient-descent linear-regression loss-functions numpy python pytorch

Last synced: 26 Dec 2025

https://github.com/hossein-cod/deep-learning-for-training

Analysi hear disease data set with deep learning

accuracy chart jupyter keras matplotlib numpy pandas py python sklearn tensorflow

Last synced: 06 Oct 2025

https://github.com/elijahondiek/shadowcoach-formtracker

A computer vision-based workout form tracking application that uses AI to monitor exercise form, count repetitions, and provide real-time feedback.

mediapipe-pose numpy opencv-python

Last synced: 06 Oct 2025

https://github.com/dr-rompecabezas/page-view-time-series-visualizer

A data science project built as part of the freeCodeCamp curriculum.

matplotlib numpy pandas python seaborn

Last synced: 06 Oct 2025

https://github.com/saumyajeet-varma/braintumor-ml-integrated-webapp

flask numpy python tensorflow venv

Last synced: 01 Feb 2026

https://github.com/tsar123/neutral-single-nucleotide-polymorphisms-analysis

analysis of data on neutral single nucleotide polymorphisms

dna-polymorphism matplotlib numpy pandas seaborn snv

Last synced: 01 Feb 2026

https://github.com/gdg-a-coruna/inteligencia-artificial-en-la-deteccion-del-cancer

Repositorio con recursos sobre la charla Build with AI: Inteligencia Artificial en la Detección del Cáncer

ann breast-cancer breast-cancer-prediction breast-cancer-wisconsin keras lasso matplotlib ml numpy pandas python r svm tensorflow

Last synced: 07 Oct 2025

https://github.com/mani-prakash-n-r/stock_market_prediction_system

This project uses LSTM networks to predict stock prices based on historical data, providing insights for informed investment decisions..LSTM, NumPy, Scikit-Learn, Matplotlib, yfinance and TensorFlow

lstm matplotlib numpy python sckiit-learn tensorflow yfinance

Last synced: 17 Jan 2026

https://github.com/shwetapardhi/assignment-1-q9_b--basic-statistics-level-1

Q9) Calculate Skewness, Kurtosis & draw inferences on the following data SP and Weight(WT) Use Q9_b.csv

kurtosis matplotlib-pyplot numpy pandas python seaborn skewness

Last synced: 07 Oct 2025

https://github.com/sudharshan-bathini/chat-bot-using-cornell-movie-data-set

Developed an AI chatbot using the Cornell Movie Dialogs dataset; trained an LSTM-based model to generate context-aware, conversational responses for user inputs.

keras lstm-sentiment-analysis neural-networks nlp numpy python tensorflow tokenizer

Last synced: 30 Dec 2025

https://github.com/mooseburger1/nfl-social-network-analysis

Performing Social Network Analysis on the 2017 NFL schedule - Scraping the web with Python and Pandas

data-mining data-science data-visualization gephi matplotlib networkx networkx-graph numpy pandas-dataframe python-3 regular-expression social-network-analysis web-scraping

Last synced: 18 Mar 2025

https://github.com/semihbugrasezer/rockvsmine

Rock vs Mine Prediction with Python | Machine Learning Project

numpy pandas python

Last synced: 27 Jun 2025

https://github.com/singhvishal003/stock-price-predict

Stock Price Prediction model using yfinance data .

keras matplotlib numpy pandas yfinance

Last synced: 23 Mar 2025

https://github.com/christabelsakyi/tsec

This project implements a time series forecasting solution for predicting electricity consumption based on historical data. It provides multiple model options, a Flask API for deployment, and visualization tools.

facebook numpy pandas python sklearn time-series-analysis

Last synced: 07 Oct 2025

https://github.com/christabelsakyi/employee_attrition_prediction

This project implements a machine learning pipeline for predicting employee attrition using HR data. The system analyzes various factors that contribute to employee turnover and provides predictions to help HR departments take preventive measures.

machine-learning numpy pandas plotly python sklearn streamlit

Last synced: 30 Dec 2025

https://github.com/sanjaiveeran44/shopping-intent-analasys

This project predicts whether a visitor to an e-commerce website will make a purchase based on their browsing behavior. It includes data analysis, preprocessing, and machine learning modeling to understand online shopping patterns.

matplotlib matplotlib-pyplot numpy pandas python3 sklearn tensorflow

Last synced: 07 Oct 2025

https://github.com/alexkhype/04python-carpricepredictor

Modelo de machine learning para predecir el valor de mercado de autos usados, optimizando precisión y eficiencia.

catboost data-science lightgbm machine-learning numpy pandas python sklearn statistics xgboost

Last synced: 30 Dec 2025

https://github.com/christabelsakyi/sentiment_analysis

This project involves analyzing customer reviews to classify them as positive or negative using Logistic Regression. The workflow includes text preprocessing, feature extraction, training a model, making predictions, and evaluating its performance. Dataset

imblearn machine-learning nltk numpy python sklearn

Last synced: 07 Oct 2025

https://github.com/thejvdev/ml-from-scratch

Repository for Implementing ML Models from Scratch in Python

classification data-analysis data-mining data-science deep-learning jupyter-notebook machine-learning matplotlib neural-networks numpy pandas prediction python regression seaborn sklearn visualization

Last synced: 30 Dec 2025

https://github.com/nimaabediforud/heart-disease-prediction

The project highlights the end-to-end workflow of data preprocessing, model building, evaluation, and comparison for a healthcare prediction task.

biomedical-applications biomedical-data-science biomedical-engineering classification deep-learning machine-learning neural-networks numpy pandas prediction python seaborn sklearn tensorflow

Last synced: 07 Oct 2025

https://github.com/zolppy/recommendation-system

This project demonstrates the creation of a content-based image recommendation system. It leverages a pre-trained VGG16 deep learning model to extract meaningful feature vectors from images. These features are then compared using cosine similarity to identify and recommend visually similar images.

computer-vision deep-learning keras machine-learning numpy recommendation-system sklearn tensorflow vgg16

Last synced: 28 Oct 2025

https://github.com/dipeshgoyal013/salary-data-analysis

Salary Analysis according department and agency.

analysis matplotlib numpy pandas salary sklearn-library

Last synced: 25 Oct 2025

https://github.com/cezlul/analyse-ventes-immobilier

Solution ML d'analyse immobilière parisienne : classification automatique appartements vs commerces (K-means, 91%) et prédiction prix (régression, R²=0.98) sur 26K transactions. Valorise portefeuille 169M€ avec recommandations stratégiques data-driven.

data-analysis jupyter-notebook machine-learning matplotlib numpy pandas python sklearn

Last synced: 25 Oct 2025

https://github.com/singhvishal003/brain_stroke_prediction

Brain Stroke Prediction according to age and Health Condition.

matplotlib numpy pandas sklearn

Last synced: 23 Mar 2025

https://github.com/audy21/datacamp

Learning portfolio documenting my progress, while taking Data Analyst & Data Science certifications from DataCamp.

data-analysis data-science machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 30 Dec 2025

https://github.com/alezoon/movie-revenue-prediction

Sk-learn practice using Linear Regression, ML workflow practice.

jupyter machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 30 Dec 2025

https://github.com/rebeccamorolong/mtn-customer-churn-prdiction

This project addresses a real-world business problem: predicting customer churn for MTN, a major telecommunications company. Customer churn significantly impacts profitability, and accurate predictions enable targeted retention efforts.

anova-test matplotlib-pyplot numpy pandas python seaborn

Last synced: 07 Oct 2025

https://github.com/ibchgenomic/numpy-builder

code getter and numpty operator for numpy operations

data-analysis numpy numpy-python shell-script

Last synced: 30 Mar 2025

https://github.com/sahil210695/gradient-descent

A simplified explanation of gradient descent for linear regression in python using numpy

gradient-descent gradient-descent-algorithm linear-regression matplotlib mini-batch-gradient-descent numpy python stochastic-gradient-descent

Last synced: 04 Jul 2025

https://github.com/pedasoft-consult/employee-attrition-prediction

This project implements a machine learning pipeline for predicting employee attrition using HR data. The system analyzes various factors that contribute to employee turnover and provides predictions to help HR departments take preventive measures.

joblib numpy pandas python3 sklearn streamlit

Last synced: 30 Dec 2025

https://github.com/manuel-lang/numpymongo

A python package to export NumPy data to MongoDB

mongodb numpy wrapper

Last synced: 25 Oct 2025

https://github.com/sahil210695/convolution-evolution

This is to see how a kernel will convolve over an image and what will be its output after convolution

cnn convolutional-neural-networks data-science image-kernel image-processing numpy numpy-neural-network python streamlit

Last synced: 14 Mar 2025

https://github.com/yahiazakaria445/arabic-answer-grading-using-sequence-models

An NLP project on Arabic data using LSTM model

matplotlib nltk numpy pandas scikit-learn tensorflow

Last synced: 08 Oct 2025

https://github.com/aneeshmurali-n/project-ml-data-preprocessing

The main objective of this project is to design and implement a robust data preprocessing system that addresses common challenges such as missing values, outliers, inconsistent formatting, and noise. By performing effective data preprocessing, the project aims to enhance the quality, reliability, and usefulness of the data for machine learning.

data-analysis data-cleaning data-encoding data-exploration feature-scaling label-encoding matplotlib minmaxscaler numpy one-hot-encoding outlier-detection pandas standardscaler

Last synced: 20 Nov 2025

https://github.com/sahilk12nayak/data-capstone-projects-using-python-libraries

In this data project we will focus on exploratory data analysis. This project utilizes Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn for data manipulation, analysis, and visualization.

matplotlib numpy pandas seaborn

Last synced: 06 Mar 2025

https://github.com/NetBr3ak/Planetary-System-Simulation

Planetary System Simulation enables users to simulate the trajectories of two planets in a gravitational system. Through a simple web interface, users can predict planetary movements using technologies such as Flask, NumPy, and SciPy.

astronomy flask gravitational-dynamics numerical-analysis numpy physics planetary-systems scipy simulation web-application

Last synced: 08 Oct 2025

https://github.com/ryan-bendelson/2024-summer-research

This is Python code that I worked with during my summer 2024 research project involving quantum physics.

density-matrices kronecker-product linear-algebra miniconda3 numpy numpy-arrays partial-trace python quantum-information

Last synced: 06 Mar 2025

https://github.com/munawar-code/car_price_predictor

This project is a ML-based car price prediction system. The model is built using Jupyter Notebook for training and evaluation, while a simple one-page website was developed using Pycharm to provide interface for users to input car details and get price predictions.

datapreprocessing datavisualization exploratory-data-analysis feature-engineering flask-application html-css-javascript linear-regression machine-learning-algorithms matplotlib numpy pandas python scikitlearn-machine-learning

Last synced: 21 Jul 2025

https://github.com/bhargav-tank/ai-nes

🧠 Enhance your coding efficiency with AI-NES, a smart assistant that learns your editing patterns and predicts your next coding edits in real time.

agent-based-modeling ai api-ai assistant dotenv jwt machine-learning nes nestjs numpy openai-gym orm python tdl tdlib tdlibrary telegram typescript

Last synced: 08 Oct 2025

https://github.com/nikita-data/sql_projects

SQL projects

database numpy pandas postgresql python sql sql-query sqlalchemy sqlite sqlite-database sqlite3

Last synced: 08 Oct 2025

https://github.com/thekartikeyamishra/data-preprocessor

A Google Colab module for interactive data preprocessing. Handles missing values, categorical encoding (One-Hot, Label), and numerical scaling (Standard, MinMax). Outputs a cleaned dataset

ipywidgets numpy pandas python scikit-learn

Last synced: 08 Oct 2025

https://github.com/yelypk/nasa-farm-navigators

NASA Space Apps Challenge Hackathon

fastapi javascript numpy phaser postgresql python railway

Last synced: 08 Oct 2025

https://github.com/isinghabhishek/data_analysis_with_python

Introduction to Data Analysis covering the basics of Python, Numpy, Pandas, Data Visualization, and Exploratory Data Analysis.

data-visualization exploratory-data-analysis numpy pandas python

Last synced: 08 Oct 2025

https://github.com/lluispp/hunting_for_exoplanets_with_ai

An AI-powered tool that classifies exoplanets using NASA datasets and provides an interactive web interface for real-time exploration and discovery.

ai challenge exoplanets nasa numpy python spaceappchallenge-2025 spaceapps swai web

Last synced: 08 Oct 2025

https://github.com/toxe/python-plotting

Python Plotting

matplotlib numpy pandas plotting python

Last synced: 25 Oct 2025

https://github.com/sudarshanasrao/ee559-machine_learning-usc

USC graduate level Machine Learning course

cnn keras machine-learning neural-networks numpy python scikit-learn scipy tensorflow

Last synced: 08 Oct 2025

https://github.com/fernandezfran/ctypes_example

c ctypes numpy python

Last synced: 16 Jan 2026

https://github.com/kaladabrio2020/calculusnumerics

Trabalho da cadeira de Métodos Numérico I

metodos-numericos numpy python tkinter-gui

Last synced: 21 Aug 2025

https://github.com/sahilk12nayak/2008-financial-crisis-capstone-project

In this data project we will focus on exploratory data analysis of stock prices.

matplotplib numpy pandas seaborn

Last synced: 06 Mar 2025

https://github.com/ahmrina/unetbraintumorseg

UNetBrainTumorSeg is a 3D Slicer extension named "seg_module" that integrates a 3D UNet trained on BraTS2020 dataset to segment brain tumor area from MRI volumes

3d-slicer-extension monai numpy python pytorch slicer unet vtk

Last synced: 08 Oct 2025

https://github.com/anshpg/linearluminary

Greetings! I've developed a straightforward linear regression model from scratch to predict house prices in Bangalore. But before delving into coding, let me walk you through the algorithm's conceptualization. I considered various factors such as location, ocean proximity, plot size, finished state, and flat type.

algo linea mathematics matplotlib numpy pandas pyth

Last synced: 14 Mar 2025

https://github.com/adriantomin/bulldozer-price-prediction

Predicting the Sale Price of Bulldozers Using Machine Learning 🚜💰 This project uses machine learning to predict bulldozer sale prices based on historical data from the Kaggle Bluebook for Bulldozers competition. The goal is to minimize the RMSLE between actual and predicted prices.

data-science jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 23 Jan 2026

https://github.com/satyas567/weatherdataanalysis

Comprehensive Weather Data Analysis with Python: Explore trends, visualize patterns, detect outliers, and predict temperature using humidity and wind speed

jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn seaborn

Last synced: 30 Dec 2025

https://github.com/kishankrishna1/spam-classifier

Developed a Machine Learning-based Spam Classifier using Multinomial Naive Bayes to identify and filter spam messages with high precision

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 30 Dec 2025

https://github.com/shreshthvashisht/bank-loan-case-study

Risk Analytics using Python

data-cleaning data-imputation data-normalization data-standardization exploratory-data-analysis jupyter-notebook loan-analytics loan-default-prediction matplotlib-pyplot numpy pandas python-data-analysis python-data-science risk-analysis seaborn-plots

Last synced: 25 Oct 2025

https://github.com/unikraft/lib-python-numpy

The fundamental package for scientific computing with Python.

library numpy unikraft unikraft-library

Last synced: 08 Oct 2025

https://github.com/ksasi/smartcab

machine-learning numpy pandas python reinforcement-learning scikit-learn

Last synced: 26 Aug 2025

https://github.com/massimilianovisintainer/diabetics-prediction-model

Machine learning model for diabetes prediction.

machine-learning numpy pandas python sklearn svm-classifier svm-model

Last synced: 26 Oct 2025

https://github.com/skywalkersam/python-101

Introduction to Python 3

bootcamp django flask jupyter-notebook matplotlib ml numpy pandas python-bootcamp python-development python-scripting python3 web-scraping

Last synced: 25 Dec 2025

https://github.com/abyss-s/data-analysis-project

[컴퓨팅사고와 데이터분석 기초] 최종 프로젝트 (2024-1)

matplotlib numpy pandas python sckiit-learn

Last synced: 09 Oct 2025

https://github.com/piragashparam36/image-classification

classification numpy pickle sklearn supervised-learning svm

Last synced: 18 Jan 2026

https://github.com/harshavardh8n/machine-learning-projects

Machine Learning Projects: A collection of machine learning projects developed as part of the curriculum, utilizing libraries such as NumPy, Pandas, Seaborn, and Matplotlib. These projects demonstrate various algorithms, including Apriori and Decision Trees, showcasing practical applications and data analysis techniques.

apriori-algorithm decision-trees jupyter-notebook machine-learning numpy pandas python

Last synced: 18 Jan 2026

https://github.com/chdl17/marvelvsdc

This GitHub repository contains Python and Tableau for analyzing Marvel Vs DC superheros.

excel jupyter-notebook numpy pandas python tableau-public

Last synced: 09 Oct 2025

https://github.com/piyushxbhardwaj/credit-card-fraud-detection

In this project, we focus on developing a machine learning model to detect fraudulent transactions within credit card data. Credit card fraud poses a significant challenge to financial institutions and consumers globally, with traditional rule-based detection systems often struggling to adapt to new fraud tactics.

matplotlib numpy pandas python scikit-image seaborn

Last synced: 09 Oct 2025

https://github.com/null-byte-00/fargasht

A simple evolution simulator written in python

ai data-science evolution evolutionary-algorithms machine-learning neural-network numpy pygame

Last synced: 18 Jan 2026

https://github.com/mkdirer/disaster-tweet-nlp-adaboost-transformers

A machine learning project that classifies tweets as disaster-related or non-disaster-related using transformers and the AdaBoost technique. Achieved an accuracy of approximately 80% on the validation set

geopy keras matplotlib numpy pandas python sklearn tensorflow

Last synced: 16 Oct 2025

https://github.com/ggrbill/phd-plot-scripts

My personal plot scripts used to generate graphs for my PhD Thesis

hacktoberfest matplotlib numpy python

Last synced: 26 Oct 2025

https://github.com/giordanodaloisio/demv

Debiaser for Multiple Variables, a model- and data- agnostic method to improve fairness in binary and multi-class classification tasks

bias-mitigation numpy pandas python

Last synced: 25 Aug 2025

https://github.com/farhad-here/height-distribution-analysis

Statistical comparison of height distributions in two groups using mean, standard deviation, and boxplots.

coefficient-of-variation data-analysis interquartile-ranges matplotlib mean numpy python scipy standard-deviation variance

Last synced: 29 Jun 2025

https://github.com/lewis-morris/image_augment

Image augmentation for CNN's. Aiming to increase generalization.

augmentation image numpy python

Last synced: 09 Oct 2025

https://github.com/shivammg/coursera-ml-numpy

Coursera Machine Learning course done using Python, NumPy, and Seaborn

machine-learning numpy python seaborn

Last synced: 23 Mar 2025

https://github.com/amish5ingh/cricket-data-analytics-ipl

Data analysis and visualization of IPL 2022 matches using Python, Pandas, Matplotlib, and Seaborn. Includes insights on match outcomes, player performances, toss trends, and venue stats with 12+ charts.

data-analysis data-visualization ipl-data-analysis ipl-data-visualization jupiter-notebook matplotlib-pyplot numpy pandas python seaborn

Last synced: 09 Oct 2025

https://github.com/romanectatyana/fuel_norm

Practical data analytics case: calculating and optimizing fuel consumption norms for vehicles and heavy equipment. (Аналітичний проєкт із визначення норм витрат палива для автотранспорту та спецтехніки.)

matplotlib numpy pandas plotly power-bi

Last synced: 09 Oct 2025

https://github.com/samuelpuerta/modelosiasaberprocolombia

PROYECTO KAGGLE - Crear un modelo para predecir el redimiento de los estudiantes en las pruebas Saber Pro

ai ia jupyter-notebook machine-learning numpy pandas prediction-model predictive-modeling python

Last synced: 09 Oct 2025

https://github.com/nyx1311/timelstm

TimeLSTM: An interactive Streamlit app for multi-step time series forecasting using LSTM networks, featuring data preprocessing, visualization, GPU-accelerated model training, and automated result export.

deep-learning deep-neural-networks lstm-neural-networks numpy pandas ploty python3 scikit-learn-python statsmodels streamlit torch tqdm

Last synced: 09 Oct 2025

https://github.com/nikhleshshukla123/web-scraping-using-python

scrapes multiple pages of Amazon search results using python.

beautifulsoup4 numpy pandas python

Last synced: 09 Oct 2025

https://github.com/akshatkmistry/parkinsons_disease_predictor-voice_measures

This project implements a machine learning system to detect Parkinson's disease using voice measurements. The application uses a Random Forest classifier trained on voice feature data to predict the likelihood of Parkinson's disease with high accuracy (94%).

machine-learning matplotlib numpy pandas random-forest-classifier seaborn sklearn streamlit

Last synced: 30 Dec 2025

https://github.com/686f6c61/conjetura-goldbach-gui-python

Aplicación para visualizar la Conjetura de Goldbach, que establece que todo número par mayor que 2 puede expresarse como la suma de dos números primos.

goldbach-conjecture matplotlib numpy python3 tkinter-gui

Last synced: 15 Apr 2025

https://github.com/gherrada22/spanish-sign-translator

This project uses Python and the OpenCV and MediaPipe libraries to detect and translate signs in real time.

language matplotlib mediapipe numpy opencv pycharm-ide python python3 spanish-language toml

Last synced: 18 Jan 2026

https://github.com/faisal-khann/ipl-analysis

The IPL Analysis project is a comprehensive data-driven exploration of the Indian Premier League (IPL), analyzing historical match data to uncover patterns in team performance, player statistics, and match outcomes.

data-analysis exploratory-data-analysis jupyter-notebook matplotlib numpy pandas seaborn