NumPy | Ecosyste.ms: Awesome

https://github.com/musamairshad/numpy-learning

This repository contains material related to the NumPy Learning.

matrices multidimensional-arrays numpy python

Last synced: 18 May 2026

https://github.com/sabdikay/telco-customer-churn-analysis-ibm-dataset

This project explores customer churn trends for a company in California using an IBM dataset. Built in a Jupyter Notebook, it employs pandas, NumPy, matplotlib, seaborn, plotly, and scipy to clean, analyze, and visualize data. Through statistical tests and interactive maps, it uncovers key drivers behind customer cancellations

business-intelligence customer-churn data-analysis data-analysis-python data-visualization exploratory-data-analysis jupyter-noteboook matplotlib numpy pandas plotly predictive-modeling python scipy seaborn statistical-analysis

Last synced: 07 Apr 2026

https://github.com/h12m54am/numpy-matplotlib

Best for people who are using it for mathematical and statistical work. Not really a tutorial, but rather a bunch of examples that can help you understand Numpy and Matplotlib

jupyter-notebook learning-by-doing numpy pandas python

Last synced: 18 Apr 2026

https://github.com/sibendud/csi_2024_dataengineering

Internship on Data Engineering where below topics are applied skills that are used to complete the given tasks through out 8 weeks including the project.

adf adls azure-pipelines databricks docker ipynb json numpy pandas-python parquet-avro pipeline pyspark python sql sql-server

Last synced: 07 Mar 2026

https://github.com/faiyaz-zaman/titanic-kaggle

machine-learning numpy pandas python scipy

Last synced: 05 Apr 2026

https://github.com/neofelis2x/gl3wxpyg

A playground and testing repo to implement OpenGL 3.3 in a WxPython interface using pyglet as an OpenGL-wrapper.

3d-graphics numpy opengl pyglet wxpython

Last synced: 11 May 2026

https://github.com/prarthana-singh/heart-attack-prediction-model

A Machine Learning model that predicts the risk of a heart attack based on health parameters like cholesterol levels, blood pressure, BMI, smoking habits, and age. Built using Classification models, Scikit-Learn, Pandas, and Python.

classification data-analysis data-science heart-attack-prediction logistic-regression machine-learning numpy pandas python scikit-learn

Last synced: 25 Jun 2025

https://github.com/rafinha0rafinha/web-analyzer-backend

(Legacy) This is the backend for Mazaoro SARLU's lead magnet "Web Analyzer". This project analyzes websites using Google Lighthouse and returns a detailed report consumed by the frontend.

azure-app-service azure-devops chartjs cicd data-analysis data-science data-visualization express flask hacktoberfest lighthouse numpy sentiment-analysis vader-sentiment-analyzer

Last synced: 10 Apr 2026

https://github.com/docsallover/lbw-detection-in-cricket

LBW Detection in Cricket: A Deep Dive with OpenCV & NumPy

ball-detection cricket cvzone data-science lbw machine-learning numpy opencv python python3

Last synced: 08 May 2026

https://github.com/aglowraph/gromacs-xvg-plot-script

A Python script for automating the plotting of .xvg files from GROMACS simulations, with dynamic labeling, time unit detection, and colorful visualization. This script reads, plots, and saves each .xvg file in the same directory, making data analysis more efficient.

automation computational-chemistry data-visualization gromacs matplotlib molecular-dynamics numpy python scientific-computing xvg-plotting

Last synced: 18 May 2026

https://github.com/hansalemaos/colorcountcython

This module provides functionality to count unique colors in an image represented as a NumPy array and, optionally, group their coordinates. It includes a Cython-based implementation for improved performance.

colors colour colours count cv2 numpy

Last synced: 01 May 2026

https://github.com/fauzan3416/text-balls

use balls to render parametric equations or strings

2025 happy-new-year image-processing matplotlib-animation matplotlib-pyplot matplotlib-python merry-christmas numpy opencv opencv-python pillow pillow-library python script

Last synced: 08 May 2026

https://github.com/lasithaamarasinghe/youtube-comment-analysis

Sentimental Analysis of comments on YouTube videos. Classify comments as positive, negative, or neutral. Provide visualizations to display the distribution of the sentiments.

comment-analysis css3 emoji flask google-api-client html5 matplotlib negative neutral numpy positive python sentiment-analysis sentiment-classification vadersentiment visualization youtube-video

Last synced: 04 Apr 2026

https://github.com/ahmed-maher77/signlink___graduation-project

𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐒𝐢𝐠𝐧 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐓𝐫𝐚𝐧𝐬𝐥𝐚𝐭𝐨𝐫 | A web and mobile app that bridges communication gaps for the deaf and hard-of-hearing community by translating English and Arabic sign language into real-time text and speech, and converting spoken words into text during video calls.

csharp fastapi firebase-realtime-database flutter framer-motion javascript microsoft-dot-net-technologies numpy opencv python pytorch reactjs scikit-learn scss-framework sign-language-recognizer sign-language-translation sql-server tailwindcss webrtc websockets

Last synced: 07 Apr 2026

https://github.com/akshaypatra/cardiovascular_disease_detection

AI-driven ECG classification model that detects cardiovascular abnormalities such as arrhythmia and atrial fibrillation using a hybrid CNN-LSTM deep learning approach.

keras matplotlib numpy pandas python3 scikit-learn seaborn tensorflow wfdb

Last synced: 14 Apr 2026

https://github.com/mayankmittal29/duplifinder-quora-clone-catcher

An advanced system for detecting semantically duplicate question pairs using cutting-edge NLP techniques. Combines traditional ML models (XGBoost, SVM, Random Forest) with deep learning architectures (BiLSTM, Siamese Networks, Transformers) and contextual embeddings (BERT, RoBERTa). Features engineered using token similarity, fuzzy matching, and em

bert bilstm cross-validation eda fastext fuzzy-matching glove numpy pandas python3 quora-question-pairs random-forest roberta seaborn stemming svm tf-idf transformers word2vec xgboost

Last synced: 15 Apr 2026

https://github.com/chandkund/titanic-survival-prediction

Welcome to the Titanic Survival Prediction project! 🌊 This project predicts passenger survival on the Titanic using machine learning models. By analyzing features like class, gender, and age, we aim to uncover the factors that influenced survival rates during this historic event. Dive in to explore the insights and models developed!

data-science machine-learning matplotlib numpy python seaborn sklearn visualization

Last synced: 07 Apr 2026

https://github.com/kanika300393/loan_prediction

This project implements a Loan Prediction system using Support Vector Machine (SVM). It includes data preprocessing, visualization of features like income and education, and model evaluation. The goal is to predict loan approval based on the dataset. Clone the repo to explore the code and improve the model.

data-science machine-learning numpy pandas python scikit-learn svm-classifier

Last synced: 09 Apr 2026

https://github.com/alansteinbarth/eksploracyjna-analiza-danych-o-pasazerach-statku-titanic

🔍 Titanic EDA: odkrywanie wzorców przeżywalności przez analizę danych. Profesjonalny projekt z wizualizacjami i insights

analytics csv data-analysis data-science data-visualization dataset eda exploratory-data-analysis jupyter-notebook kaggle machine-learning matplotlib numpy pandas portfolio python seaborn statistics titanic visualization

Last synced: 11 Apr 2026

https://github.com/hoyirul/flask_test

This is a Python programming using flask and has been set up with the MVC concept and can connect to the database

flask mysql numpy python3 restful-api

Last synced: 07 Apr 2026

https://github.com/sadegh-khedry/housing-prices-prediction-using-randomforest

This repository contains an implementation of random forest model to predict housing prices using the Boston Housing dataset.

csv joblib jupyter-notebook matplotlib numpy pandas pil python random-forest seaborn sklearn

Last synced: 05 Apr 2026

https://github.com/hariprasath-v/machinehack-dare_in_reality_hackathon

Build a machine learning model that predicts the Envision Racing drivers’ lap times.

catboostregressor data-science exploratory-data-analysis feature-engineering gradio gradio-interface klib machine-learning numpy optuna pandas python seaborn sklearn

Last synced: 13 Apr 2026

https://github.com/simon2k/stock-price-prediction-evaluation

This project is indented to present a small evaluation of different types of regression models for predicting stock prices for AAPL.

evaluation machine-learning numpy pandas predicting-stock-prices scikit-learn

Last synced: 07 Apr 2026

https://github.com/jaweria-b/eda-basketball

The Streamlit app analyzes NBA player stats with user-selected filters, offering data download and intercorrelation heatmap.

matplotlib numpy python streamlit

Last synced: 10 Apr 2026

https://github.com/niteshchawla/logistics-nn-regression

The case study is about India's Largest Marketplace for Intra-City Logistics. This dataset has the required data to train a regression model that will do the delivery time estimation, based on all those features.

adam-optimizer data-visualization encoding exploratory-data-analysis feature-engineering hidden-layers hyperparameter-tuning keras-tensorflow kerastuner metrics neural-network numpy pandas regression relu scaling sequential-models

Last synced: 10 Apr 2026

https://github.com/nk-works/creditflow-ai

CreditFlow AI predicts loan defaulters using Artificial Neural Networks (ANNs). This model uses historical loan data to predict the likelihood of default for new loan applications.

ai artificial-neural-networks deep-learning jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn seaborn tensorflow

Last synced: 24 Jun 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: 06 May 2026

https://github.com/manikantasanjay/emotion_prediction_kaggle_cnn

Real time Facial Emotion Recognition System with CNN Model Architecture making use of Transfer Learning, Data Augmentation, and Regularization Techniques.

cnn convolutional-neural-networks dataset deep-learning jupyter-notebook matplotlib numpy pandas python3 pytorch transfer-learning

Last synced: 11 Apr 2026

https://github.com/satheesh-meadi/real_time_financial_risk_dashboard

Financial Risk Analysis Dashboard 🚀. An interactive Streamlit dashboard designed for analyzing and visualizing portfolio performance. Features include CAPM analysis, portfolio optimization, efficient frontier visualization, and real-time stock data to help optimize investments.

numpy pandas plotly plotly-express python3 scikit-learn streamlit yfinance

Last synced: 05 Apr 2026

https://github.com/danishzulfiqar/micro-service-predictive-maintenance

Predictive maintenance backend server for model inferance, upload and update.

aws-ec2 container deployment docker fastapi inference keras-tensorflow machine-learning microservice numpy nural-network pandas predictive-maintenance python shap tensorflow

Last synced: 07 Apr 2026

https://github.com/charanchellu/movie-recommend-system

content Based movie recommend system

machine-learning numpy pandas python sklearn

Last synced: 02 Apr 2026

https://github.com/youngermaster/coulomb-superposition-principle

Principio de Superposición de Coulomb y Ley de Biot-Savart

coulomb-law matplotlib numpy simulation

Last synced: 18 May 2026

https://github.com/tachoknight/propanescale

Code to run pumpingstationone.org's propane scale

mqtt mqtt-broker numpy numpy-arrays python python3 serial serial-communication

Last synced: 13 Apr 2026

https://github.com/dineshdhamodharan24/data_science_final_project

Customer Insights & Recommendation System: Harnessing Decision Tree, Logistic Regression, and Random Forest models for behavior analysis. Utilizing EasyOCR and Python Imaging Library for image information extraction. Employing NLTK for sentiment analysis on textual data

classification final-project guvi-projects image-processing nltk-python numpy ocr pandas recommendation-system sentiment-analysis sklearn-library streamlit text-processing worldcloud

Last synced: 02 May 2026

https://github.com/kamildzierzak/pjatk-suml-project

auth0 flask numpy pjatk python react supabase tailwindcss tensorflow

Last synced: 07 Apr 2026

https://github.com/dmarks84/coursework_project_data-analysis-apache-spark

Project for IBM Data Engineering & Python course on ETL & Big Data -- Read in data, wrote to SQL database and performed queries, performed statistical analysis and issued reports

apache-sprk automation dag data-modeling eda elt etl numpy pandas pipelines python sql statistics visualization

Last synced: 11 Apr 2026

https://github.com/jcardonamde/food-sales-predictions

A project that seeks to predict the sales of a food distributor by applying machine learning algorithms and data analysis.

data-science machine-learning machine-learning-algorithms numpy pandas pipelines python seaborn sklearn

Last synced: 05 Apr 2026

https://github.com/audrbar/py_site

Website for displaying Data Science Projects build on Streamlit

matplotlib numpy pandas python3 requests streamlit

Last synced: 11 Apr 2026

https://github.com/anuragkush2527/vibesync-3.0

Sentiment analysis in social media involves using natural language processing (NLP) and machine learning to analyze users' opinions, emotions, and attitudes expressed in posts, comments, and reviews. It helps in understanding public sentiment, monitoring trends, and making data-driven decisions.

expressjs fastapi mongodb nltk nodejs numpy pandas python reactjs scikit-learn sentiment-analysis tensorflow

Last synced: 16 Oct 2025

https://github.com/lokranjanp/mnist-classifier

Mnist handwritten digit classifier from scratch using numpy only and also with CNN-tf. The aim is to make the models of almost equal accuracy.

mnist mnist-classification mnist-classifier numpy pandas tensorflow

Last synced: 02 May 2026

https://github.com/ramyacp14/sentimentanalysis

Implements a sentiment analysis model to determine the emotional tone behind text, helping understand attitudes, opinions, and emotions in online mentions.

machine-learning natural-language-processing nltk numpy pandas python scikit-learn

Last synced: 07 Apr 2026

https://github.com/rama1997/lane-line-detection

Uses computer vision to detects lane lines on the road from images/videos using the POV of a driving vehicle

numpy opencv opencv-python python

Last synced: 10 Apr 2026

https://github.com/iguanad0n/housing-prices

blending catboost data-analysis eda gradient-boosting kaggle kaggle-competition linear-regression machine-learning matplotlib numpy optuna pandas python random-forest scikit-learn seaborn stacking xgboost

Last synced: 07 Apr 2026

https://github.com/rishabhmathur06/optical_flow-using-raft-and-pytorch

matplotlib numpy opencv python pytorch raft

Last synced: 07 Apr 2026

https://github.com/boobshash/numpy-neural-net

Simple and extendable library for deep learning in numpy

deep-learning mlp-classifier numpy

Last synced: 20 Jul 2025

https://github.com/jainish-prajapati/solar-flare-prediction

This repository contains code and data for predicting solar flare energy ranges using machine learning, based on NASA's RHESSI mission data. It includes preprocessing of FITS files into a unified CSV dataset and implements models like Gradient Boosting, Random Forest, and Decision Tree classifiers, achieving accuracies up to 87%.

data-visualization machine-learning numpy pandas python scikit-learn solar-flare-prediction

Last synced: 30 Dec 2025

https://github.com/shibbir24/Water-Potability-Prediction-Using-Hybrid-Machine-Learning-Techniques

Water Potability Prediction Using Hybrid Machine Learning Techniques

machine-learning matplotlib numpy pandas python3 scikit-learn seaborn

Last synced: 30 Dec 2025

https://github.com/myahninsi/credit_card_fraud_detection

This repository is for the Neural Networks and Deep Learning Course - Assignment 1, focusing on credit card fraud detection. The project utilizes a machine learning model to predict whether a transaction is fraudulent using a synthetic credit card dataset.

matplotlib numpy pandas pickle python scikit-learn seaborn streamlit

Last synced: 09 Apr 2026

https://github.com/maxbleu/f1analisys

A Python repository for analyzing and visualizing Formula 1 data. Includes tools for race statistics, performance comparisons, and custom visualizations.

data-science f1 f1-analisis f1api fastf1 formula1-analysis formula1-data-analysis matplotlib-python motorsport numpy pandas python seaborn

Last synced: 12 Sep 2025

https://github.com/redreaper420/secret-qr-code-injector

Script for secret QR code injection into PNG images.

image-manipulation numpy pillow png python qrcode steganography

Last synced: 14 May 2026

https://github.com/hellenilda/ml-housing-price-prediction

Projeto simples para fazer previsão de preços de casas usando Regressão Linear.

artificial-intelligence machine-learning matplotlib numpy python sklearn streamlit

Last synced: 05 Apr 2026

https://github.com/andreazoccatelli/light_permanova

A lightweight implementation of PERMANOVA based on Euclidean distance from centroid

computervision numpy permanova pytorch statistics tabular-data

Last synced: 08 May 2026

https://github.com/philcs/electromag

Électromagnétisme, Université Laval, 2017

matplotlib numpy python

Last synced: 18 May 2026

https://github.com/avs123a/image-edge-detection-demo

Demo of image edges detection using different operators, norms and custom masks

demo edge-computing edge-detection image-analysis image-manipulation image-processing jupyter-notebook numpy python python27 python3

Last synced: 04 Feb 2026

https://github.com/isa1asn/mnist-neural-net

Applying neural networks on the MNIST dataset (from scratch & using tf)

from-scratch keras mnist-classification neural-networks numpy pandas relu-activation softmax tensorflow

Last synced: 12 Apr 2026

https://github.com/notshrirang/opennn

Neural Networks for humans. An implementation from scratch in Python using NumPy. Consists of Optimizers such as Adam, SGD, Adagrad, RMSProp, and activation functions ReLU, Softmax and Losses. All implemented from scratch.

deep-learning machine-learning neural-network numpy

Last synced: 27 Apr 2026

https://github.com/shivjotchoudhary/shivjot-core

High-performance Python utilities for AI/ML workflows, computer vision, and enhanced Pandas/NumPy data engineering.

computer-vision data-science machine-learning numpy pandas python

Last synced: 18 Apr 2026

https://github.com/ireneflorez/sf-kindergarten-lottery

Data analysis reviewing data and findings on the public school kindergarten lottery in San Francisco

ipynb-jupyter-notebook jupyter-notebook numpy pandas python sql

Last synced: 17 Feb 2026

https://github.com/ahmedabdalkreem/connected_component_labeling

Technique used to detect small object in the image like shapes and number can used this technique in OCR.

computer-vision connected-components matplotlib numpy object-detection python rgb2gray threshold

Last synced: 11 Apr 2026

https://github.com/exclowd/gg

A library for creating terminal based games in python.

numpy python

Last synced: 18 May 2026

https://github.com/mihirh19/house-price-prediction

kaggle machine-learning numpy pandas seaborn sklearn

Last synced: 05 Apr 2026

https://github.com/imdadmiran17/data_analysis_exercise

data-analysis numpy numpy-arrays numpy-exercises python3

Last synced: 17 May 2026

https://github.com/ahmedabdalkreem/hotel-reservation

Our task is to classify a Hotel Reservation as either booking canceled (class1) or no canceled(class0) and use more one model to arrive the best model.

bagging decisiontreeclassifier ensemble extra-trees-classifier logistic-regression matplotlib numpy pandas python3 random-forest sklearn-library svc-model

Last synced: 11 Apr 2026

https://github.com/muzahid0408/student_marks_analysis_using_numpy

This project analyzes a student marks dataset to calculate key statistical measures such as mean, median, standard deviation, and more.

datasets jupyter-notebook numpy numpy-arrays pythoh

Last synced: 04 May 2026

https://github.com/sanarazaaa/drug-diffusion

matplotlib numpy python

Last synced: 06 May 2026

https://github.com/ifte-13/loan-approval-system

Loan Approval System

imbalanced-learn matplotlib numpy pandas scikit-learn seaborn tensorflow

Last synced: 11 Apr 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: 17 Feb 2026

https://github.com/matx64/birads-classifier

Breast Imaging Report and Data System (BIRADS) with Graphical User Interface.

numpy pillow skimage sklearn tkinter

Last synced: 20 Apr 2026

https://github.com/wbadart/simplegcn

Basic implementation of a Graph Convolutional Network

data-science gcn neural-network numpy

Last synced: 18 May 2026

https://github.com/nellyndj52/breast-cancer-classification-ml

This project aims to build a machine learning models to predict whether a tumor is malignant or benign based on the Breast Cancer dataset. Various classification algorithms are tested, including Logistic Regression, Random Forest, and Support Vector Machine (SVM).

breast-cancer cancer dataset flask-api heroku-deployment lime machine-learning mlp-networks numpy perceptron-neural-networks pickle segmentation support-vector-machines svm

Last synced: 03 Apr 2025

https://github.com/karthikarajagopal44/data-analysis-using-python-libraries-

The COVID-19 pandemic has significantly impacted India, necessitating a detailed analysis of the virus’s spread within the country. In this project, we explore an India-specific COVID-19 dataset, leveraging Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.

data-cleaning data-visualization matplotlib numpy pandas python python3 scikit-learn seaborn

Last synced: 07 Apr 2026

https://github.com/abhisek-13/diabetes-prediction

The Diabetes Prediction Web App uses machine learning to predict if someone has diabetes based on their health data. Trained on the Kaggle diabetes dataset, it offers real-time predictions through a user-friendly Streamlit interface.

machine-learning matplotlib numpy pandas python sklearn streamlit

Last synced: 11 Apr 2026

https://github.com/fahrettinsolak/ai-map-based-geographic-clustering-project

This project focuses on clustering crime incidents in San Francisco using the K-Means algorithm. The dataset is obtained from Kaggle and contains information about crime types, geographical coordinates, and other relevant features. The goal is to identify crime hotspots through geographic clustering and visualize the clusters on an interactive map.

artificial-intelligence deep-learning elbow-method jupyter-notebook machine-learning numpy openstreetmap pandas phyton plotly scikit-learn standardscaler

Last synced: 05 Apr 2026

https://github.com/crafterkolyan/eigenvalues-speed-comparison

Сравнение скорости вычисления собственных значений положительно определённых матриц. Проект по спецкурсу "Высокопроизводительные вычисления на платформе Python". Основной результат - Python с JIT компилятором обгоняет нераспараллеленный C++ по скорости.

cpp eigenvalues numba numpy python speed university

Last synced: 10 Jul 2025

https://github.com/mr-talhailyas/histogram-equalization-and-contrast-stretching

Histogram equalization and contrast stretching without using builtin library functions.

contrast-stretching histogram-equalization image-enhancement image-processing numpy

Last synced: 29 Apr 2026

https://github.com/axelsgit/fashion-recommender

This project builds a hybrid and visual recommender system for (luxury) fashion products, simulating a real-world e-commerce scenario (e.g., Zalando, Farfetch, Fashion Nova). It integrates visual filtering, collaborative filtering, content-based filtering, and hybrid models, enriched with user metadata and interaction recency.

deepfashion fashion fastapi numpy pandas python resnet-50 sklearn streamlit tensorflow ui-design

Last synced: 07 Apr 2026

https://github.com/anas436/exploratory-data-analysis-of-car-price-using-python

jupyter-notebook matplotlib numpy pandas python3 scipy seaborn

Last synced: 05 Apr 2026

https://github.com/andremenezesds/house_rocket_sales_insights

Data analysis for House Rocket Sales Company database, including insights for sales optimization.

data-analysis data-visualization geopandas git github jupyter-notebook linux numpy pandas powerbi python seaborn seaborn-python streamlit streamlit-webapp ubuntu vscode windows10

Last synced: 21 Jan 2026

https://github.com/subhamsarangi/visualize

Data Visualizations using Python

bokeh matplotlib numpy pandas pyplot python3 seaborn

Last synced: 07 Apr 2026

https://github.com/zainulmustafa/home-neural-net-gui-using-flask

I am working on a project that I call HNN whose GUI is created using Flask framework to give multiple users the access of controlling components over the same connection.

flask flask-api flask-server html5 numpy python3

Last synced: 05 May 2026

https://github.com/shwetapardhi/assignment-1-q7--basic-statistics-level-1

Q7) Calculate Mean, Median, Mode, Variance, Standard Deviation, Range & comment about the values / draw inferences, for the given dataset For Points,Score,Weigh> Find Mean, Median, Mode, Variance, Standard Deviation, and Range and also Comment about the values/ Draw some inferences. Use Q7.csv file

mean median mode numpy pandas python range standard-deviation variance

Last synced: 05 May 2026

https://github.com/jhaabhijeet864/numpy_for_machine_learning

It's a collection of python notebooks comprising of learning materials of numpy for machine learning

notebooks-jupyter numpy numpy-arrays numpy-library python

Last synced: 18 May 2026

https://github.com/hbmartin/mathjs-to-func

Compile serialized math.js expression trees into fast, reusable Python callables. Optional parse extra.

ast compiler expression-evaluator expression-parser expressions formula formula-parser formulae mathjs numpy

Last synced: 17 May 2026

https://github.com/amnydv17/algorithm-visualizer

This project aims to offer a visual representation of how different algorithms work, making it easier for developers, students, and enthusiasts to understand their functionalities and behaviors through graphical demonstrations.

matplotlib numpy python3 seaborn

Last synced: 18 May 2026

https://github.com/razvan48/digit-recognizer-in-python

A simple digit recognizer written using Python.

graphics knn knn-algorithm knn-classification machine-learning machine-learning-algorithms numpy pygame python

Last synced: 17 May 2026

https://github.com/pzuehlke/hands-on-numpy

An introduction to NumPy for undergraduate students, focusing on basic linear algebra

linear-algebra numpy numpy-tutorial python scipy

Last synced: 18 Apr 2026

https://github.com/asghar-rizvi/youtube-statistics-project

This project analyzes a dataset of global YouTube statistics to uncover insights about YouTube channels, their ranks, and other attributes. The dataset used for this analysis was obtained from Kaggle.

data-analysis data-analysis-python data-science data-science-projects matplotlib numpy pandas pycharm-ide python seaborn

Last synced: 13 Jun 2026

https://github.com/navindafernando/feature-extraction

Heart Risk Level Predicting Regression Model & Web using Feature Engineering and Data Preprocessing :baby_chick:

categorical-encoding feature-engineering flask handling-outlier html5 joblib label-encoding machine-learning numpy pandas polynomial-features quantile-transformer scaling

Last synced: 10 Apr 2026

https://github.com/zohaib-cheema/defacto

DeFacto is a machine learning-based tool that classifies fake news articles using a hybrid model built with Scikit-learn, TensorFlow, and Keras. The system analyzes social and political content to detect deception in news stories and social media posts, providing a reliable solution to address the growing issue of misinformation.

flask git keras numpy pandas r scikit-learn tensorflow

Last synced: 07 Apr 2026

https://github.com/ljadhav25/django-data-analyzer

Django Data Analyzer is a web application built using the Django framework, designed to streamline data analysis tasks. Users can upload CSV files containing data for analysis. The application utilizes the powerful data manipulation capabilities of Python libraries like pandas and numpy to perform various analyses on the uploaded data.

data-analysis data-visualization django-application matplotlib numpy pandas python seaborn

Last synced: 01 Mar 2026

https://github.com/venky-1710/superhero-recruitment

Superhero Recruitment System predicts hero selection using machine learning. Users input hero attributes through a web interface. A Random Forest model analyzes abilities, strengths, weaknesses, success rates, and missions completed. The Flask app displays results, showing if a hero is selected.

css flask html numpy pandas python scikit-learn

Last synced: 07 Apr 2026

https://github.com/gehad-ahmed30/hand-gesture-volume-control

This repository features innovative projects using OpenCV, highlighting the power of computer vision. With detailed documentation and source code, developers can easily learn various techniques. Explore to enhance your understanding of image processing and object detection! 🚀

mediapipe numpy opencv pyautogui python

Last synced: 08 Apr 2026

https://github.com/akku-1206/spotify_data_analysis

Spotify Tracks Analysis Overview This project performs an exploratory data analysis (EDA) on Spotify music data to uncover insights and correlations related to song features, popularity, and genre.

matplotlib numpy pandas python seaborn

Last synced: 13 Apr 2026

https://github.com/saket-sk/data-science-lab

List of Assignments I have performed as a part of Honorary Course of Data Science and Machine Learning Lab.

data-cleaning data-science jupyter-notebook jupyter-notebook-extension numpy numpy-arrays pandas pandas-dataframe pandas-python python

Last synced: 16 Apr 2026

https://github.com/piyushamukherjee/fuxi

– A Cascade Machine Learning Forecasting System for 15-Day Global Weather Prediction

ml numpy pandas tensorflow weather-forecast

Last synced: 13 Apr 2026

https://github.com/yadavkaushal/datascience-e-commerce-shopping-details

This project analyzes customer purchase data including details such as location, company, credit card usage, browser info, job roles and purchase price. It explores patterns in payment methods, spending behavior and online transactions. Using Pandas, Matplotlib and Seaborn, we clean analyze and visualize key trends to derive actionable insights.

data datacleaning dataframe datapreprocessing dataset libraries matplotlib numpy pandas plots visulaization