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An open API service indexing awesome lists of open source software.

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.

https://github.com/dulajkavinda/diabetes-detection

💊detect diabetes using machine learing

added machinelearning numpy pandas python scikit

Last synced: 14 Sep 2025

https://github.com/sandeepannandi/slicecam

SliceCam is a fun, camera-controlled game powered by OpenCV and Mediapipe that lets you slash flying fruits with real-time hand tracking.

collision-detection handtracking mediapipe mediapipe-hands motiondetection numpy opencv pygame python

Last synced: 06 May 2026

https://github.com/vjpaij/datascience-udemy

Various basic codes on datascience

machine-learning matplotlib numpy pandas python seaborn

Last synced: 15 Apr 2026

https://github.com/claby2/mouse-track

Track, display, and graph the position of a mouse cursor.

c cpp matplotlib numpy python sdl2 windows

Last synced: 12 Apr 2026

https://github.com/abynxv/automatedexamsheetgrader-ocr

This Python project automates grading of handwritten or printed answer sheets using OCR (Optical Character Recognition). It extracts student answers from scanned images, compares them to an answer key, and generates a detailed report with class statistics.

numpy ocr-recognition opencv pandas python3 tesseract

Last synced: 27 Jun 2025

https://github.com/baschin1103/principal_component_analysis

In this repository you find a python program and the prints and 3D-visualization of it. After the KNN-Classification I wanted to know which variables have the most relevance for the results. One approach for this is the Principal-Component-Analysis (PCA). More details in the python program as comments.

3d-printing labelencoder matplotlib numpy pandas principal-component-analysis sklearn-library sqlalchemy standardization variable-importance

Last synced: 13 May 2026

https://github.com/joeylemon/python-kmeans

an implementation of the K-means clustering algorithm in Python

k-means-clustering matplotlib ml numpy python

Last synced: 21 May 2026

https://github.com/abdelmajidlh/fifa19

Ce projet conciste à analyser et visualiser les données FIFA19. Il est destiné aux jeunes data analystes ou ceux et celles qui souhaite apprendre la programmation Python. Le projet sera mis à jour au fur et à mesure.

fifa matplotlib numpy pandas python seaborn

Last synced: 16 Apr 2026

https://github.com/tushar365/titanic---machine-learning-from-disaster

"Titanic: Machine Learning from Disaster" is a classic Kaggle competition for beginners https://www.kaggle.com/competitions/titanic. The goal is to use machine learning to predict which passengers survived the sinking of the Titanic based on historical data. This teaches data analysis and model building skills in a real-world context.

data-science dicision-tree logistic-regression machine-learning matplotlib-pyplot numpy pandas python seaborn

Last synced: 19 Apr 2026

https://github.com/khaja-shaik-21/heart-disease-prediction-system

This form allows users to enter key health details like age, blood pressure, cholesterol levels, and exercise results to predict the likelihood of heart disease. The data is submitted to the backend for processing, where a machine learning model provides a prediction. The form is styled for a clean and responsive user experience.

css3 flask-application git html5 logestic-regression numpy pandas python3 scikit-learn

Last synced: 12 Apr 2026

https://github.com/abidhasanrafi/pharma-sales-analytics

A Streamlit-powered web application for analyzing pharmaceutical sales performance across teams, products, and territories.

matplotlib numpy pandas plotly sales-analysis scikit-learn seaborn streamlit

Last synced: 08 Apr 2026

https://github.com/mhmudfzli/loan-approval-prediction

This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance

automl catboost numpy pandas python scikit-learn seaborn

Last synced: 08 Apr 2026

https://github.com/lorenzorottigni/ml-yelp-reviews

Machine Learning python bootcamp: natural language processing on Yelp reviews

machine-learning nlp numpy pandas python scikit-learn seaborn

Last synced: 08 Apr 2026

https://github.com/singhvishal003/email-spam-detector-model

Email Spam Detector model to detect spam messages.

numpy pandas sklearn

Last synced: 08 Apr 2026

https://github.com/abhishekbagdiya01/movies-recommendation-system

This repository contains the code for a movie recommendation system built using Jupyter Notebook.

aiml jupyter-notebook numpy pandas python scikit-learn

Last synced: 08 Apr 2026

https://github.com/ahmedabdalkreem/sentiment-analysis

This project performs sentiment analysis on a Twitter dataset, aiming to classify tweets into positive, negative, or neutral sentiments. Sentiment analysis is crucial for understanding public opinion on various topics, brands, or events based on social media data.

bert-model lematization matplotlib nlp nltk numpy pandas python3 sentiment-analysis stopwords streamlit

Last synced: 08 Apr 2026

https://github.com/mr-chang95/datascience_airbnb

Data Science Project for Udacity's Data Scientist Program. Using Python in Jupyter Notebook.

airbnb data-analysis data-science data-visualization jupyter-notebook numpy pandas python sklearn

Last synced: 08 Apr 2026

https://github.com/marknature/opencv-bootcamp

If you are looking to take your first steps towards learning Computer Vision and AI using OpenCV, this is the best OpenCV course to jumpstart your career.

anaconda computer-vision cv2-library ffmpeg jupyter-notebook matplotlib numpy opencv os urllib zipfile

Last synced: 02 Mar 2025

https://github.com/abhishek-k-git/feature-engineering-using-stock-exchange-data

Creating quantitative trading strategies requires historical and real-time data and involves comparing models against future returns post-training.

lightgbm matplotlib numpy pandas plotly seaborn

Last synced: 12 Apr 2026

https://github.com/omarsaad21/credit-train-data-science-project

This a full web application to predict the credit score of clients plus I did many visulizations to express many insights in chart

eda matplotlib ml numpy pandas python sklearn streamlit-webapp

Last synced: 09 Apr 2026

https://github.com/caioandrian/data-analyst-procon

Análise dos dados do Procon, período de 2013 à 2016.

dataset numpy pandas python

Last synced: 11 Apr 2026

https://github.com/shrutiii1109/diwali-sales-analysis-through-python

Data analysis project on Diwali sales using Python (Pandas, NumPy, Matplotlib, Seaborn). The goal is to analyze customer behavior, identify sales trends, and provide insights to improve marketing and business strategies.

data-analysis jupyer-notebook matplotlib numpy pandas python seaborn

Last synced: 30 Apr 2026

https://github.com/sahilmaurya28/youtube-data-analysis

YouTube Data Analysis using Python — uncovering trends, engagement patterns, and correlations between likes, comments, views, and categories to understand what drives content success.

analysis data-analysis data-visualization matplotlib-pyplot numpy pandas portfolio-project python seaborn youtube

Last synced: 13 Apr 2026

https://github.com/emredemirbas/google-playstore-eda

Exploratory Data Analysis (EDA) of the Google Play Store dataset — examining trends in app ratings, categories, pricing, and user engagement using Python and LaTeX.

exploratory-data-analysis matplotlib numpy pandas python seaborn

Last synced: 03 May 2026

https://github.com/isk-daniar/-contrast-improvements-on-pil

Contrast improvements on PIL

numpy pillow python

Last synced: 10 Jun 2026

https://github.com/nishthasharma-22/binary-black-hole-merger-gravitational-waves-simulation

Repository of all astronomy related projects, including: Gravitational Waves graph from binary black hole merger

astrophysics blackhole-merger gravity-simulator matplotlib numpy python scipy

Last synced: 05 May 2026

https://github.com/apuravdivekar2032/real-estate-price-prediction

A real estate price prediction website developed using Python with Numpy and Pandas for data cleaning Matplotlib for data visualization and scikit-learn for model building, featuring a Flask server to handle HTTP requests and integrates a user-friendly UI built with HTML, CSS, and JavaScript

flask html-css-javascript jupyter-notebook matplotlib numpy pandas pycharm python3 sklearn vscode

Last synced: 20 Jan 2026

https://github.com/hawkharsh1/house-price-pridiction-model-using-ann

A deep learning-based regression model built using Artificial Neural Networks (ANN) in PyTorch to predict house prices from structured data. This project demonstrates the application of machine learning and deep learning techniques for solving real-world problems in the housing domain.

artificial-neural-networks deep-neural-networks machine-learning numpy pandas python3 pytorch scikit-learn

Last synced: 08 Apr 2026

https://github.com/ijproject/calculate-absorption-rate

大気を構成する分子ごとの赤外線吸収割合を計算するプログラム。

numpy python

Last synced: 11 May 2026

https://github.com/cyberlument/opencv-colormasking-red-

This mini project opencv is for educational purpose.

numpy opencv opencv-python pycharm vscode

Last synced: 20 Jan 2026

https://github.com/priyasingh26/financial_document-data_extraction

This project extracts key information from financial documents like invoices and receipts using text recognition. It processes images, classifies documents, and extracts data, which is then stored in a CSV file. The aim is to automate data collection from scanned documents, reducing manual work and increasing accuracy.

data-extraction numpy ocr pandas pillow preprocessing pytesseract-ocr python sklearn torch transformers

Last synced: 08 Apr 2026

https://github.com/caefleury/cis-ieee-difusion-model

Repositório teste para códigos do projeto de Modelo de Difusão do branch CIS-IEEE

docker docker-compose numpy python3 tensorflow

Last synced: 08 Apr 2026

https://github.com/chawthinn/car-price-prediction-regression-ml

This project predicts used car prices using regression models including Linear, Ridge, Random Forest, XGBoost, and LightGBM. It covers preprocessing, EDA, model evaluation, hyperparameter tuning, and model persistence using Scikit-learn and related libraries.

car-price-prediction lgbmregressor linearregression numpy pandas python scikit-learn xgbregressor

Last synced: 08 Apr 2026

https://github.com/poziloi/-image_processing-

Методы и алгоритмы цифровой обработки изображений, задания

cv2 matplotlib numpy python

Last synced: 20 Jan 2026

https://github.com/babagata/praktikum-4-data-analysis

Data analysis for course "Physics laboratory IV"

matplotlib numpy pandas scipy

Last synced: 28 Apr 2026

https://github.com/michelenana/projet-7

PRODUISEZ UNE ETUDE DE MARCHE AVEC R OU PYTHON

acp boxplots cah kmeans matplotlib numpy pandas python scipy seaborn sklearn

Last synced: 08 Apr 2026

https://github.com/haydencordeiro/terafeed

Terafeed - Addressing Zero Hunger in Africa (Sustainability Goal SDG 2)

javscript numpy pandas powerbi python scikit-learn tableau vuejs

Last synced: 08 Apr 2026

https://github.com/chandkund/image-classification-using-the-mnist-dataset

Image Classification using the MNIST dataset. This project leverages a Convolutional Neural Network (CNN) to recognize and classify handwritten digits with high accuracy. Includes data preprocessing, model architecture, and evaluation. Explore the code and results here!

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

Last synced: 08 Apr 2026

https://github.com/zborovskaanna/grosery_store_sales_analysis

Python data analysis project. Analysis of grocery store sales using visualizations and reporting in Tableau

data-analysis data-visualization matplotlib numpy pandas python seaborn tableau

Last synced: 08 Apr 2026

https://github.com/5hraddha/zyfra-gold-recovery-prediction

Zyfra is a pioneering developer of efficiency solutions for heavy industries & is aiming to take help of machine learning to optimize the efficiency in Gold Ore processing

decisiontreeregressor dummyregressor linearregression numpy pandas randomforestregressor scipy seaborn smape supervised-learning

Last synced: 08 Apr 2026

https://github.com/rakibhhridoy/covid19analysisindashboard-tableau

Covid19 dashboard analysis of world,north america,south east Asia and their characteristics upon pandemic. Some interesting statistics is shown by the data. The increase rate make effect on death and recover rate quite periodic. Simulating those changes make more interactive.

covid-19 dashboard data-processing dataviz numpy pandas python statistics tableau tableau-dashboards

Last synced: 06 May 2026

https://github.com/aysh2603/twitter-sentiment-analysis

The Twitter Sentiment Analysis project employs Natural Language Processing (NLP) techniques to classify tweets into positive or negative sentiments. By analyzing the tone of tweets, this project provides insights into public sentiment on various topics.

hyperparameter-tuning nlp-machine-learning numpy pandas python3 scikit-learn

Last synced: 13 Jul 2025

https://github.com/davityak03/sentence-paraphraser-checker-using-transformers

This Jupyter Notebook implements a tool to check whether two sentences are paraphrases by analyzing their semantic similarity using NLP techniques. It provides a similarity score and a binary decision to indicate if the sentences are paraphrases.

keras nlp nltk numpy python tensorflow tokenizer transformers

Last synced: 02 Jan 2026

https://github.com/rdvdev2/tf-test

Mostres de ML i IA amb TensorFlow basades en els tutorials oficials per al PR

numpy python research-project tensorflow tensorflow-tutorials

Last synced: 22 Mar 2025

https://github.com/omraj0/covid19-data-analysis

Analysis of COVID-19 infection rates in various countries, correlating them with factors such as GDP per capita and social support.

covid-19 google-colab matplotlib numpy pandas python

Last synced: 19 Apr 2026

https://github.com/pranjalshivhare06/medical-ensurance-charge-predictor

The Insurance Price Predictor is a machine learning project designed to predict insurance costs based on various input features. The project leverages four different algorithms, with XGBoost emerging as the most accurate and efficient model.

fastapi machine-learning numpy pandas xgboost-classifier

Last synced: 19 Apr 2026

https://github.com/pabs-code/face-detection-using-haar-cascade-classifier

This is a Streamlit-based face detection application that uses the Haar Cascade classifier to detect faces in uploaded images.

face-detection haar-cascade-classifier numpy opencv python streamlit

Last synced: 08 Apr 2026

https://github.com/vyjayanthipolapragada/image_classifier_model_hotdog

Building an Image classifier model to train and test a dataset and classify the given images into hotdog and not-hotdog.

artificial-intelligence dataset image-classification image-processing machine-learning matplotlib neural-networks numpy pandas python pytorch tensor torchvision transfer-learning

Last synced: 08 Apr 2026

https://github.com/muhkartal/e-forecast

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

fastapi joblib matplotlib numpy pandas pydantic pytest sckit-learn seaborn tensorflow tqdm uvicorn xgboost yaml

Last synced: 08 Apr 2026

https://github.com/sanjana-bongale/cancer_survival_data_analysis_and_prediction_using_logistic_regression

This project performs data analysis using Python to predict cancer patient survival outcomes. It involves data cleaning, exploratory analysis, and visualizations to explore factors like cancer type, stage, and treatments. A logistic regression model is built to predict patient survival based on demographic and medical data.

data-analysis data-cleaning data-science data-visualization eda jupyter-notebook kaggle logistic-regression machine-learning matplotlib numpy pandas predictive-modeling python scikit-learn seaborn

Last synced: 08 Apr 2026

https://github.com/tabotcharlesbessong/python-errors

This repository will contain all python errors i will encounter in my life as a python plus their solutions

matplotlib-animation matplotlib-pyplot numpy pandas python-script python3 scikit-learn seaborn

Last synced: 16 Apr 2026

https://github.com/shdrn2402/budget-analytics

Analyze a family's two-year spending in Israel to uncover trends, optimize budgets, and compare consumption patterns using Python, Pandas, and visualization tools.

jupyter-notebook matplotlib numpy pandas python seaborn visualization

Last synced: 08 Apr 2026

https://github.com/secary/compsci7211

Foundations of Computer Science B

algorithms git numpy pandas shell unix

Last synced: 10 Apr 2026

https://github.com/tomas542/dl_examples

Examples of Machine Learning, Deep Learning, Natural Language Processing and so on

computer-vision cv deep-learning dl keras machine-learning ml natural-language-processing nlp numpy python pytorch scikit-learn

Last synced: 08 Apr 2026

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

Stock Price Prediction model using yfinance data .

keras matplotlib numpy pandas yfinance

Last synced: 08 Apr 2026

https://github.com/mondalbidisha/landmark-recognition

A solution for identifying and recognizing landmarks from images, addressing key challenges and leveraging both algorithmic and human expertise to achieve high accuracy and reliability.

jupyter-notebook kaggle kaggle-datasets numpy pandas python3

Last synced: 08 Apr 2026

https://github.com/gmork2/covid-19

A mathematical analysis of the infection growth

coronavirus covid-19 jupyter-notebook numpy pandas python scikit-learn

Last synced: 08 Apr 2026

https://github.com/lorenzorottigni/ml-lending-club

Machine Learning python bootcamp: random forest classifier on LendingClub dataset

ipynb machine-learning numpy pandas python random-forest-classifier scikit-learn seaborn

Last synced: 08 Apr 2026

https://github.com/shahbazshaddy/explainable-multimodal-ai-for-breast-cancer-and-pneumonia-prediction

A deep learning-based framework integrating explainable multimodal AI for accurate prediction and transparent diagnosis of breast cancer and pneumonia.

deep-learning explainable-ai grad-cam groq-api llm machine-learning matplotlib multimodal numpy pandas python pytorch scikit-learn seaborn streamlit

Last synced: 08 Apr 2026

https://github.com/hansalemaos/cppradixsort

parallel_radixsort from C++ for Python (Windows)

cpp numpy parallel-computing python sort

Last synced: 05 Feb 2026

https://github.com/colesmcintosh/pycuda-numpy-vector-ops

Accelerating NumPy Vector Operations with PyCUDA

cuda-programming numpy pycuda

Last synced: 28 Apr 2026

https://github.com/dmarks84/coursework_project_boston-data-project

Project for IBM Data Science course on Statistics -- Read in a large data set and performed several statistical analyses and hypothesis testing

communication data-modeling data-reporting dataframes eda hypothesis-testing matplotlib numpy pandas probability python scipy seaborn statistics visualization

Last synced: 08 Apr 2026

https://github.com/shreyavats23/sign_language_recognition

Sign Language Recognition using Deep Learning : ~ Built a model to recognize American Sign Language (ASL) for letters A–Z and digits 1–9 ~ Achieved ~89% validation accuracy using a Convolutional Neural Network (CNN) ~ Used data augmentation techniques to improve generalization ~ Visualized predictions to test the model on real samples

artificial-intelligence keras machine-learning matplotlib numpy python pytorch seaborn sklearn tensorflow

Last synced: 08 Apr 2026

https://github.com/ashithapallath/comparison-of-ssd-sad-in-motion-estimation-of-video-coding

Course assignment for Algorithm and Massive Datasets comparing SAD and SSD for motion estimation. Includes analysis of accuracy, speed (Python/NumPy), and error sensitivity. Highlights trade-offs for speed-critical vs. precision-focused applications.

l1-normalization l2-norm numpy pytho video-cod

Last synced: 04 Apr 2025

https://github.com/sarthakm402/rabbi

A Ml library that can be used ot clean,and use models to predict on data

numpy optuna pandas pypi-package python sklearn

Last synced: 20 Apr 2026

https://github.com/priyanshulathi/cancer-diagnosis-prediction-model

A Machine Learning project to predict cancer malignancy using K-Nearest Neighbor, Support Vector Machine, and Decision Tree algorithms.

machine-learning numpy pandas python scikit-learn

Last synced: 03 Jan 2026

https://github.com/barraharrison/seoul-bike-sharing

Performing EDA on a kaggle dataset to look at the distribution of Seoul's bike-sharing system

jupyterlab matplotlib numpy pandas python scikit-learn seaborn

Last synced: 23 Jul 2025

https://github.com/alphacrypto246/insurance-charges-prediction

The Predicting Insurance Charges project uses Decision Tree Regression to predict insurance charges based on features like age, sex, BMI, and smoking habits. It involves data preprocessing, feature scaling, and model evaluation with metrics like MAE and R².

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 03 May 2026

https://github.com/elijah-1994/modelling-airbnbs-property-listing-dataset

Training and Evaluating classification and regression model use cases on the Airbnb dataset.

data-science machine-learning numpy pandas plotly python pytorch sklearn

Last synced: 10 Apr 2026

https://github.com/ashkarin/rawimage

Read and write RAW images (or data arrays) without a headache.

image-processing imagej ndarray numpy raw-data raw-image readers writers

Last synced: 28 Apr 2026

https://github.com/dmarks84/ind_project_superstore-sales-time-series-analysis--kaggle

Independent Project - Kaggle Dataset-- I worked on the Superstore Sales Dataset, performing (as Part 1) data cleaning and preparation and exploratory data analysis. The main task was to make predictions for future sales based on time-series analysis, which is found in Part 2.

chloropleth data-modeling data-visualization eda linear-regression matplotlib numpy pandas python seaborn sklearn statistics statsmodels supervised-ml time-series-analysis

Last synced: 09 Apr 2026

https://github.com/bassemhalim/webrtc-demo

webrtc demo using aiortc library

numpy opencv python3 webrtc

Last synced: 09 Apr 2026

https://github.com/eljandoubi/disasterresponsepipeline

Project aim is to build a Natural Language Processing (NLP) model to categorize messages on a real time basis.

flask nltk numpy pandas plotly scikit-learn scipy sqlalchemy

Last synced: 09 Apr 2026

https://github.com/armahdavi/data_pipeline_analytics_statistics_ML_PM_PSD_residential_QFF

Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782

data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics

Last synced: 17 Sep 2025

https://github.com/abeertechcamus/documentdata

The dataset was cleaned and queried using Python inside Jupyter Notebook and visualizes using PowerBI Document Data Analysis Projects

dax jupyter-notebook numpy pandas powerbi python

Last synced: 04 May 2026

https://github.com/harmanveer-2546/campus-placement-prediction

Student Campus-Placement Prediction ML Project using Python

decision-trees machine-learning matplotlib numpy python random-forest scipy seaborn

Last synced: 08 Mar 2026

https://github.com/roluochke/real-estate-price-prediction-app

This is a data science project for a real estate price prediction website.

flask html-css-javascript jupyter-notebook matplotlib numpy python sklearn

Last synced: 09 Apr 2026

https://github.com/dsowles/miniproject1davidsowles2025

INF601 Mini Project 1

numpy yfinance

Last synced: 16 May 2026

https://github.com/abyshergill/ultralytics_yolo_object_detection_testing_gui

This is a desktop application for real-time object detection using the YOLO (You Only Look Once) model build with ultralytics libarary. It's built with PyQt5 for the graphical user interface and OpenCV for video and image processing. The application allows users to load a YOLO model, adjust detection settings, and perform object detection on media.

numpy opencv-python pytorch qt5-gui threading ultralytics yolo

Last synced: 08 May 2026

https://github.com/prachi005748/website-performance-data-analysis-project

Briefly describe the objective of the project—e.g., analyzing website performance metrics over time, uncovering trends in user engagement, or evaluating channel-wise traffic quality.

data-analyst data-cleaning data-preprocessing data-visualization data-visualization-python exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn storytelling

Last synced: 01 May 2026

https://github.com/samiksha29-patil/e-commerce-sales-insights-dashboard

This project focuses on analyzing e-commerce sales data through data visualization. It highlights customer behavior, popular sales channels, product category trends, and city-wise performance to provide actionable business insights.

analytics customer-insights data-visualization ecommerce matplotlib numpy pandas python sales-analysis seaborn

Last synced: 03 May 2026

https://github.com/princeoncada/quant-pca-risk

Applies Principal Component Analysis (PCA) to daily returns of 20 US equities (2015–2025) to uncover hidden risk factors. Explores variance explained, scree, loadings, factor returns, covariance reconstruction, and Varimax rotation. Results show 3–5 PCs capture ~75% of portfolio risk.

correlation-analysis covariance-matrix dimensionality-reduction factor-models matplotlib numpy pandas pca portfolio-risk principal-component-analysis python quantitative-finance time-series-analysis variance varimax

Last synced: 06 May 2026

https://github.com/kushalagarwalla/netflix-movie-data-analysis

🚀 Netflix Data Analytics Project 🎬📊 | Analyzed 9K+ movies to uncover insights on genres, popularity, votes & release trends. Includes EDA, KPIs & visualizations using Python (Pandas, NumPy, Matplotlib, Seaborn). Supports data-driven content & engagement strategy.

data-analysis data-visualization jupyter-notebook numpy pandas python seaborn

Last synced: 06 May 2026

https://github.com/kandil2001/lid-cavity-evolution

Lid Cavity Evolution is an open-source CFD suite for the lid-driven cavity problem, featuring MATLAB, Python, and parallel solvers with benchmark comparisons.

benchmarking cfd cfd-simulation lid-driven-cavity matlab mpi numpy open-source openfoam openmp parallel-computing python scientific-computing simple-algorithm star-ccm

Last synced: 06 May 2026

https://github.com/4ngelojr/ai-ml-cheatsheets

🗂️ Access essential AI and ML concepts with quick-reference cheatsheets for effective learning and project implementation.

bigdata cheatsheet computer-science convolutional-neural-networks data-science deep-learning dl excel hadoop keras linux neural-networks numpy pig plotly probability sql statistics

Last synced: 01 May 2026

https://github.com/vitor-ace/sunspots-data-analysis

This is a Jupyter Notebook which works with Data Analysis logic and libraries implementation with Python.

data-analysis data-visualization debbuging error-handling file-handling matplotlib-pyplot numpy pandas python

Last synced: 06 May 2026

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