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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/hanzdr/2d-3d-object-transformation

For my Linear Algebra Project Defense

matplotlib-python matrix numpy

Last synced: 19 Apr 2026

https://github.com/ifte-13/early-stage-brain-stroke-detection

Predictive Analysis & Early Detection of Brain stroke using Machine Learning Algorithm

decision-tree imbalanced-learn knn matplotlib numpy pandas random-forest scikit-learn seaborn

Last synced: 06 Jul 2025

https://github.com/shivamkumar818/mbti-personality-prediction-from-text-data

MBTI Personality Prediction from Text Data This project leverages machine learning to predict Myers-Briggs Type Indicator (MBTI) personality types based on textual data, specifically from social media posts.

confusion-matrix correlation-matrix data-visualization dataset knn-classification linear-regression logistic-regression modeltraining navebayes numpy pandas python

Last synced: 13 Apr 2026

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: 28 Apr 2025

https://github.com/harmanveer-2546/finding-you-next-perfect-house

In this exploratory data analysis, we compare a dataset which consists of various features about renting of houses available on these renting platforms listed by owners of these houses, and try to derive some constructive conclusions by performing Descriptive statistics of the available features.

adaboostregressor decisiontreeregressor exploratory-data-analysis house-price-prediction inline linearregression matplotlib numpy onehotencoder pandas plotly python randomforestregressor renting seaborn standardscaler xgbregressor

Last synced: 13 Apr 2026

https://github.com/hajaarh/malaria_hematie_cnn

Algorithme de réseaux de neurones convolutionnels

numpy pandas python resnet-50 sklearn-library tensorflow vgg16

Last synced: 13 Apr 2026

https://github.com/dummumounika/ecommerce-sales-categorization

This repository contains Python code for text classification and analysis of e-commerce sales data. The script processes textual descriptions of products and categorizes them into predefined categories using a Naive Bayes classifier. It also includes various analysis and visualization methods to explore the dataset.

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

Last synced: 13 Apr 2026

https://github.com/sorabh-kapoor/face-recognition-attendance-system

The Facial Recognition System is an AI-powered application USING FLASK designed to detect and recognize faces with high accuracy. This system can be integrated into various applications, including security systems, attendance management, and identity verification.

flask flask-application knn ml numpy opencv pandas python scikit-learn

Last synced: 13 Apr 2026

https://github.com/nambukeerthi/copper_project

Data Analysis Skills – Work with real-world data. Machine Learning Experience – Build and train models. Web App Development – Create interactive dashboards

eda machine-learning numpy pandas python streamlit

Last synced: 13 Apr 2026

https://github.com/yesenvidnath/facerecognitionapplight

This is a face recognition application wich is capable of recognizing a person based on thire face and take attendence from it

face-recognition facent flask numpy python

Last synced: 13 Apr 2026

https://github.com/shwetapardhi/assignment-05-multiple-linear-regression-2

Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t

collinearity-diagnostics cooks-distance correlation-analysis eda heteroscedasticity homoscedasticity leverage-score multi-linear-regression numpy ols-regression p-value pair-plot python r-square-values regress-exog residual-analysis smf statsmodels vif

Last synced: 09 May 2026

https://github.com/shwetapardhi/assignment-04-simple-linear-regression-2

Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

correlation-analysis data-visualization distplot eda feature-engineering model-building model-predictions model-template numpy ols-regression p-value pandas python r-square-values regression-plot seaborn simple-linear-regression smf statsmodels t-score

Last synced: 08 May 2026

https://github.com/saraasgari99/videoclassificationusingdeeplearning

ML pipeline for biological video analysis using cutting-edge CNN architectures and industry-standard data processing and ML techniques

computer-vision data-processing keras-tensorflow machine-learning numpy sklearn tensorflow

Last synced: 13 Apr 2026

https://github.com/bropenguin847/python-learning

Learning Python for Scientific Programming. Intended for beginners with some knowledge of Python.

array-manipulations convolution jupyter matlab matplotlib-pyplot numpy pandas-python pep8 python python3 scientific-programming scipy spyder-ide vscode

Last synced: 13 Apr 2026

https://github.com/ot-code/coca-cola-stock-prediction

This repo compares four predictive models—Linear Regression, ARIMA, XGBoost, and LSTM—to forecast Coca‑Cola FEMSA stock closing prices using Python and five years of historical data.

arima csv linear-regression lstm-neural-networks mae matplotlib mse numpy pandas python r2 scikit-learn seaborn tensorflow-keras xgboost

Last synced: 13 Apr 2026

https://github.com/csengupta1101/netflix-rating

The project revolves around Netflix shows and movies around the world. The problem statement that is being tried to address here is that what kind of show to come up with in future times and how well that will fit with the audience

jupyter-notebook matplotlib movies netflix numpy pandas plotly python python3 rating tvseries

Last synced: 13 Apr 2026

https://github.com/paulo-freitas-junior/ifood-dev-week2023

Repositório sobre a Dev Week iFood sobre uso de Python e Inteligência Artificial para realização de cálculo de NPS ( Net Promoter Score ) e a utilização de IA para análise de sentimentos dos comentários usando tecnologia do ChatGPT-4.

bert chatgpt colab-notebook matplotlib nltk numpy pandas python textblob-sentiment-analysis

Last synced: 13 Apr 2026

https://github.com/mstrlc/iss-project

FIT VUT – ISS – signal processing - synthesizing and resynthesizing of a MIDI keyboard

fit iss matplotlib numpy python scipy signal-processing vut

Last synced: 11 Mar 2025

https://github.com/nicolascoiado/nivel-mar

Este projeto realiza uma análise detalhada do nível médio global do mar (GMSL), utilizando uma base de dados pública que abrange medições históricas. O objetivo é explorar tendências, calcular a taxa média de elevação e visualizar os dados por meio de gráficos.

google-colab jupyter-notebook matplotlib numpy pandas python python3 scikit-learn

Last synced: 11 Mar 2025

https://github.com/arrnikhilchauhan/book-recommendation

This Book Recommendation System is designed to provide personalized book suggestions based on user ratings and interaction. By leveraging the power of Pandas and NumPy, it filters and processes data efficiently, ensuring that recommendations are relevant and tailored to the user’s preferences

numpy pandas-library python

Last synced: 15 Apr 2026

https://github.com/nirmaldeepponnada/codeclauseinternshipproject2

Python, NLTK, Scikit-Learn, Pandas, NumPy, Pickle, SciPy, and JSON are used for text preprocessing, feature engineering, multi-label classification, and model persistence.

nltk numpy pandas pickle python scikit-learn scipy

Last synced: 07 Apr 2026

https://github.com/niel0503/probabilidade-e-amostragem

Desafio desarrollado para el bootcamp de WoMakersCode

estadistica matplotlib numpy pandas stats

Last synced: 18 Jan 2026

https://github.com/rishabhmathur06/pytorch

This repository contains codes related to the PyTorch tutorial provided by Patrick Loeber

neural-network numpy pandas python pytorch sklearn

Last synced: 13 Apr 2026

https://github.com/geetu040/fetcher

AI GAME: We have a random maze and 2 agents at random places. You control the Fetcher and find the way through the maze to get ot the target. You can automate the Fetcher to use trained models that help Fetcher fetch the target by itself. The models are based on deep neural networks, implemented by tensorflow and Keras API. The models are so efficiently trained, they find ways through the maze without hitting the walls and have an accuracy of more than 99%

artificial-intelligence css deep-learning html javascript jupyter-notebook machine-learning matplotlib neural-networks numpy python sklearn tensorflow web-design

Last synced: 13 Apr 2026

https://github.com/dmarks84/coursework_project_network-analysis-node-link-prediction

Project for University of Michigan Applied Data Science Specialization -- Analyzed network nodes and edges, developing custom features based on various scoring metrics; used features to train classifier model to predict node attribute (employee salary type) and future edges (employee connections)

classification cross-validation data-reporting databases eda grid-search matplotlib network-analysis numpy pandas python scikit-learn statistics supervised-ml visualization

Last synced: 13 Apr 2026

https://github.com/fabriziomusacchio/ann_with_numpy

A how-to for building an artificial neural network from scratch using NumPy

ann artificial-neural-networks neural-network numpy

Last synced: 08 May 2026

https://github.com/dharma-acha/imageclassification

This project is an interactive Streamlit web application using the VGG-13 model to classify images from the CIFAR-10 dataset. Users can upload images to receive real-time predictions and visual explanations of the model's decisions. The goal is to accurately classify images into one of the ten CIFAR-10 classes: airplanes, automobiles, birds, cats,

colab-notebook matplotlib numpy pandas python3 pytorch scikit-learn seaborn streamlit

Last synced: 13 Apr 2026

https://github.com/singhvishal003/brain_stroke_prediction

Brain Stroke Prediction according to age and Health Condition.

matplotlib numpy pandas sklearn

Last synced: 13 Apr 2026

https://github.com/shreeparab1890/heart-attack-analysis-prediction-accuracy-85.24

This iPython Notebook implements the Analysis and Predictions for Heart Attack. The Analysis is done on the dataset to identify the key features which has a impact on Heart Attack. After the analysis and data cleaning, the dataset is used to train the model using different ML algorithm.

eda exploratory-data-analysis matplotlib numpy pandas plotly prediction python scikit sklearn

Last synced: 13 Apr 2026

https://github.com/marianoviola/reim

🕸️ A Computational Framework for Inferring System Truth from Distributed Noisy Observations

fastapi numpy pandas python3 scipy

Last synced: 11 Jun 2026

https://github.com/hilalozdemirbuyukasik/deep-learning

A collection of deep learning projects demonstrating RNNs, BiLSTMs, CNNs, and basic neural networks applied to time series forecasting, text sentiment analysis, image classification, and tabular data tasks, with examples of data preprocessing, model training, evaluation, and visualization.

bilstm cnn keras matplotlib nn numpy rnn scikit-learn tensorflow

Last synced: 12 Apr 2026

https://github.com/railab/nxscli-np

Nxscli extention with Numpy operations

numpy nxscli

Last synced: 21 Apr 2026

https://github.com/tigureis/analise_dataset_campanha_marketing

O projeto visa melhorar a eficácia das campanhas de marketing através da análise de dados e da construção de um modelo preditivo.

numpy pandas plotly seaborn sklearn xgbo

Last synced: 13 Apr 2026

https://github.com/mmerlyn/analysis-of-tomato-prices

Forecasting tomato prices in Karnataka using machine learning to help farmers make better crop planning and selling decisions.

css flask html matplotlib numpy pandas python scikit-learn seaborn

Last synced: 06 Jul 2025

https://github.com/vedikasnehil/daily-leetcode-

Daily LeetCode Using Python is a project dedicated to solving coding challenges consistently using Python. It focuses on improving problem-solving skills, mastering Python techniques, and building a collection of clean, well-documented solutions. Perfect for interview preparation, learning algorithms, or daily coding practice!

matplotlib numpy pandas python python3 seaborn

Last synced: 13 Apr 2026

https://github.com/bkellmayer6/pybelikov

Efficient high-precision computation of fully normalized associated Legendre functions (fnALFs) using the Belikov recurrence algorithm

fully-normalized-associated-legendre-functions geodesy gravity-field legendre-functions mathematics numba numpy python scientific-computing spherical-harmonics

Last synced: 14 Jan 2026

https://github.com/lupin3000/augmentedreality

Introduction into augmented reality (AR) with Python OpenCV ArUco markers.

aruco aruco-marker camera-calibration marker-detection numpy opencv pose-estimation python

Last synced: 13 Apr 2026

https://github.com/tkc/node-neural-network

Built with only pure typescript, neural network iris sample.

javascript machine-learning neural-network node numpy typescript

Last synced: 09 Apr 2026

https://github.com/subratamondal1/heart-attack-prediction

Heart Attack Prediction of patients based on the required data. Data Ingestion - Data Preparation - Exploratory Data Analysis (EDA) - Modelling - Evaluation.

data-analysis data-science data-visualization kaggle-dataset machine-learning matplotlib-pyplot numpy pandas python3 scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/suap-dev/python-essentials

a repository intended for people who want to know some python basics

lambda-functions numba numpy oop pandas teaching

Last synced: 17 Mar 2025

https://github.com/soumyapro/hand-tracking-volume-controller

This project leverages computer vision and machine learning to interpret hand gestures and movements, enabling interaction with volume device of your pc without the need for physical controllers.

mediapipe numpy opencv-python pycaw time

Last synced: 13 Apr 2026

https://github.com/fimbres/matplotlib-start

A crash project with the most important matplotlib functions and methods, used in data science, AI and machine learning.

data-science matplotlib matplotlib-pyplot numpy pandas python python-script

Last synced: 13 Apr 2026

https://github.com/kostadinlambov/time-series-forecasting

This project evaluates the predictive performance of a CNN-LSTM Hybrid deep learning model for Bitcoin price movement prediction.

keras-tensorflow matplotlib-pyplot mlflow numpy optuna pandas python scikit-learn seaborn statsmodels ta-lib tensorflow

Last synced: 07 Apr 2026

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: 11 Apr 2026

https://github.com/disney35/stock-prices-dashboard

A dashboard to analyze, predict, and visualize stock prices using Python & LSTM

ema jupyter-notebook keras macd matplotlib-pyplot mfi numpy pandas python rsi scikit-learn sma streamlit tenserflow yfinance

Last synced: 12 Apr 2026

https://github.com/akashash01/support_vector_machine

It's an linear model for classification and regression problems. It can solve non-linear problems by creating a hyperplane which separates the data into classes using KERNAL .

data-science datavisualization machine-learning numpy pandas python sklearn svm-classifier

Last synced: 13 Apr 2026

https://github.com/dibsthegreat/titantic-dataset-analytics

DASC4850 Final Project where I did EDA to determine the survivability of Titanic guests depending on Age, Gender, Wealth, etc.

data-science data-visualization matplotlib numpy pandas python random-forest-classifier

Last synced: 13 Apr 2026

https://github.com/mehediehteshum/minesweeper

Building classic 'Minesweeper' game from scratch using Pygame with VS Code.

numpy pygame python python3

Last synced: 06 Oct 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: 13 Apr 2026

https://github.com/minhtungonep/android-traffic-analysis

Android malware detection project analyzing network traffic patterns in a telecommunications context. Uses statistical hypothesis testing and data visualization to evaluate traffic features like DNS query times, TCP packets, and volume bytes for distinguishing between benign and malicious Android applications.

android-library bachelor-project bachelor-thesis cybersecurity cyface data-visualization hypothesis-testing malware-detection matplotlib network-traffic numpy pandas python scipy sdk statistical-analysis telecommunications voip-security

Last synced: 09 May 2026

https://github.com/swatisinghit/treadmill-customer-profiling-for-aerofit

Create comprehensive customer profiles for each AeroFit treadmill product through descriptive analytics. Develop two-way contingency tables and analyze conditional and marginal probabilities to discern customer characteristics, facilitating improved product recommendations and informed business decisions.

analytics conditional-probability data-analysis data-science data-visualization eda numpy pandas probability statistics

Last synced: 08 May 2026

https://github.com/sducournau/ign_lidar_hd_dataset

🏗️ Comprehensive Python library for processing IGN LiDAR HD data into machine learning-ready datasets for Building Level of Detail (LOD) classification. Features GPU/CPU processing, smart data management, and complete ML pipeline integration.

building-classification data-processing dataset france geospatial gis ign lidar lidar-hd numpy point-cloud scikit-learn

Last synced: 20 Jan 2026

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: 08 Apr 2026

https://github.com/18mahi/tweet-sentiment-analysis

Classify tweets into happy, sad, angry, excited, and neutral with this interactive Python model. Combining TF-IDF text features with engineered numeric features like emoji sentiment, polarity, subjectivity, and punctuation counts, it demonstrates intermediate-level NLP, feature engineering, and visualization skills.

data-science data-visualization jupyter-notebook machine-learning matplotlib nlp numpy pandas sklearn string textblob

Last synced: 30 Apr 2026

https://github.com/isratafrin826/linear-regression-model

Linear Regression is a statistical method used to model the relationship between a dependent variable (target) and one or more independent variables (features) by fitting a straight line (regression line) to the data. It predicts the target value based on the linear relationship and is commonly used for forecasting and trend analysis.

googlecolaboratory numpy pandas sklearn

Last synced: 03 May 2026

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

Predicting the sale price of bulldozers using machine learning

matplotlib numpy pandas sklearn time

Last synced: 07 Oct 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: 15 Apr 2026

https://github.com/prarthana-singh/bangalore-house-price-predictor

🏡 Bangalore House Price Prediction – A Machine Learning model to predict house prices in Bangalore using real estate data. Built with Linear Regression, Python, Pandas, NumPy, and Scikit-Learn.

data-analysis eda house-price-prediction linear-regression machine-learning numpy pandas python real-estate regression scikit-learn

Last synced: 19 Apr 2026

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/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: 07 May 2026

https://github.com/khushneetsingh/datasanity

DataSanity is a AI-powered web application for dataset cleaning, synthetic data generation, vectorization, and data enrichment using natural language prompts.

cerebrus exa faiss-vector-database llm nextjs numpy pandas serperdev sqlite tailwindcss

Last synced: 08 Apr 2026

https://github.com/hiftd22/wpattern

📈 Analyze and visualize stock patterns with wPattern for better trading insights. Simplify your investment decisions through data-driven analysis.

cli finance financial-analysis financial-data matplotlib numpy pandas pattern-recognition python scikit-learn stock-scanner technical-analysis yfinance

Last synced: 29 Apr 2026

https://github.com/eiichiroito/numpharo

NumPy like tools for Pharo Smalltalk

matplotlib-pyplot numpy pharo pharo-smalltalk smalltalk

Last synced: 18 Jan 2026

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: 16 Feb 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: 12 Apr 2026

https://github.com/isk-daniar/signal-filter-plt

Signal filter PLT

numpy pillow python

Last synced: 18 Apr 2026

https://github.com/rachakondaganesh/superstore-sales-data-analysis-project

Analyzed retail sales data to uncover key business insights using Python and Power BI. Explored patterns in profit, sales, and customer segments across regions. Built interactive dashboards to visualize trends, identify top-performing categories, and highlight areas for improvement in shipping and discount strategies.

dashboard exploratory-data-analysis matplotlib-pyplot numpy pandas powerbi seaborn

Last synced: 02 May 2026

https://github.com/hmotez/medclaimml

An AI-powered machine learning application designed to process healthcare reimbursement claims. It analyzes medical documents, client information, insurance policies, and legal regulations to predict accurate reimbursement amounts, ensuring efficiency, compliance, and fraud detection.

healthcare jest-tests mern-stack mongodb nodejs nosql numpy pytorch react scikit-learn tailwindcss

Last synced: 12 Apr 2026

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: 06 May 2026

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

scrapes multiple pages of Amazon search results using python.

beautifulsoup4 numpy pandas python

Last synced: 03 May 2026

https://github.com/yeisson8a/tallerdataanalysis

Taller de Data Analysis utilizando Python y las librerías Pandas, NumPy, Seaborn, Matplotlib para manipulación de datos de un archivo, así como la librería Statsmodels para regresiones lineales.

analisis-de-datos linear-regression matplotlib numpy pandas python3 seaborn statsmodels

Last synced: 14 Apr 2026

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: 14 Apr 2026

https://github.com/lorenzorottigni/dl-houses

Deep Learning python bootcamp: exploratory data analysis & deep learning on houses price dataset

deep-learning ipynb machine-learning numpy pandas python scikit-learn seaborn tensorflow

Last synced: 11 Apr 2026

https://github.com/gojoel/brockton-data-analysis

Analyzes police logs from the city of Brockton, MA and attempts predictive analysis.

data-science exploratory-data-analysis geopy machine-learning matplotlib numpy pandas seaborn

Last synced: 09 May 2026

https://github.com/03-bunny-06/japan-heart-attack-analysis

This project analyzes heart attack data in Japan, focusing on gender-based differences in risk factors such as smoking, diabetes, alcohol consumption, and regional variations. The dataset is cleaned and processed using Pandas and NumPy, extracting insights on affected individuals based on lifestyle and health conditions.

data-cleaning dataframes numpy pandas python risk-analysis

Last synced: 20 Apr 2026

https://github.com/amritendunath/appointmate_1.0

A LangGraph-powered multi-agent/supervisor system for appointment scheduling. It enables users to interact in natural language to check doctor availability, book, reschedule, or cancel appointments.

fastapi langchain langgraph nltk numpy pandas psycopg2 python sqlalchemy uvicorn websocket

Last synced: 07 Apr 2026

https://github.com/tuokri/rs2simlib

Python library for Rising Storm 2: Vietnam physics objects simulation and automated data collection.

numba numpy physics rising-storm-2-vietnam simulation unreal-engine-3

Last synced: 23 Feb 2026

https://github.com/ianhaggerty/final-capstone

This represents the final capstone project in my HyperionDev Data Science (fundamentals) course. A dataset of Amazon customer reviews is analysed using natural language processing.

amazon data-analytics data-science data-visualization dataset matplotlib nlp nlp-machine-learning numpy pandas plotly reviews seaborn spacy tabulate textblob wordcloud

Last synced: 19 Jan 2026

https://github.com/rakesh3596/apple-phone-sales-analysis

Apple Phone Sales Analysis using Python tools like Pandas, Matplotlib, Numpy, Plotly, Apple csv file

csv-files csv-reader matplotlib numpy pandas plotly python

Last synced: 14 Apr 2026

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