NumPy
NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/eesunmoon/aml_project
[Project] Analyzing Fitness Patterns & Building Predictive Models
matplotlib numpy pandas python3 recommender-system scikit-learn seaborn tensorflow
Last synced: 13 Apr 2026
https://github.com/pinedah/sleep-data-analysis-exercise
Análisis de un dataset médico sobre el sueño, explorando duración, calidad y factores relacionados. Incluye limpieza de datos, EDA y visualizaciones con Python (pandas, numpy, matplotlib, seaborn, scipy).
data-analysis data-science escom numpy pandas python school-project scipy
Last synced: 13 Apr 2026
https://github.com/caterinatasinato/python-projects
Projects I worked on as Trainee in Data Analytics at ProfessionAI
matplotlib numpy pandas python3
Last synced: 13 Apr 2026
https://github.com/tharushiimasha/python-practice
This repository contains Python programs and exercises from practice sessions. It covers Python basics, file handling, and libraries like NumPy and pandas for data manipulation.
api-integration csv-files file-handling json-files jupyter-notebook numpy oops-in-python pandas python web-scraping
Last synced: 13 Apr 2026
https://github.com/joiceo/python
Projetos e exercícios em Python
eda machine-learning numpy pandas python seaborn sklearn
Last synced: 13 Apr 2026
https://github.com/danaelshrbiny10/gold-prices
The Egypt Gold Prices project is a data analysis and visualization initiative that focuses on tracking and understanding the daily gold prices in Egyptian pounds per gram.
data-visualization docker docker-compose matplotlib mongodb numpy pandas powerbi python3 webscraping
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https://github.com/raghavendranhp/youtube_data_harvesting
The "YouTube Data Analyzer" is a versatile tool for businesses and content creators, enabling them to gather, analyze, and harness valuable insights from multiple YouTube channels. With streamlined data collection, storage in MongoDB, migration to SQL, and a user-friendly Streamlit interface, it empowers users to make data-driven decisions
apiintegration data datacollection eda googleapi googleapiclient matplotlib mongodb mysql mysqlconnector numpy oops pandas pymongo python pythonoops sql sqlalchemy streamlit youtube-api
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https://github.com/blairnangle/python3-numpy-ta-lib
Docker image with NumPy and TA-Lib installed. Built and uploaded to Docker Hub using GitHub Actions.
Last synced: 13 Apr 2026
https://github.com/debjyotisaha/data-analytics-projects-phase-1
A set of projects on Data Analysis using Python and its libraries
matplotlib numpy pandas python seaborn sklearn streamlit
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https://github.com/badranalyst/tips-dataset-analysis-dashboard-with-streamlit-and-plotly
Interactive Streamlit dashboard analyzing the Seaborn 'tips' dataset, which records information on restaurant bills, including total bill amounts, tips, customer demographics (e.g., gender, smoking status), and dining details (e.g., day, time). Visualized with Plotly for insights into tipping patterns.
data-analysis data-analytics data-visualization dataset eda exploratory-data-analysis matplotlib matplotlib-pyplot numpy pandas plotly python seaborn streamlit
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https://github.com/annygutierrez/bank-ann
Basic Artificial Neural Network
keras matplotlib numpy pandas sklearn
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https://github.com/fearless-spider/spideroptic-cli
Spider Optic CLI is a command line application.
cement cli cli-app command-line makefile numpy oanda pypi python
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https://github.com/somyaaaaaa2004/travelling-sales-man-problem
This project is a soft computing-based solution to the Traveling Salesman Problem (TSP) using a Genetic Algorithm (GA), implemented entirely from scratch in Python on Google Colab. The goal of the TSP is to find the shortest possible route that visits each city exactly once and returns to the starting point. It's a classic NP-hard combinatorial
genetic-algorithm jupyter-notebook matplotlib-pyplot numpy pandas python travelling-salesman-problem
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https://github.com/harmanveer-2546/tweets-cleaning-with-python
Twitter is one of the most used data sources for data analysis. The reason is that it’s open and free to collect unless you subscribe to the paid version one. Besides, it’s pretty simple to collect data from it.
filtering function-calling nlptk numpy os pandas punctuation python re removing-links tokenization tweet-cleaning twitter-data-analysis twitter-sentiment-analysis
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https://github.com/hootbu/cyberpunk-filter-desing
This project aims to design filters with a cyberpunk aesthetic by performing low-level image manipulation in Python.
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https://github.com/lingumd/school_district_analysis
Updated test score data and school district analysis using Python.
averages binning jupyterlab numpy pandas pandas-loc python
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https://github.com/harmanveer-2546/predicting-schizophrenia-disorder
The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase
boxplot decisiontreeregressor disorder linearregression matplotlib mean-squared-error numpy pairplot pandas prediction randomforestregressor schizophrenia seaborn train-test-split visualization
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https://github.com/alex1iv/asr_ru_numbers
Automatic Speech Recognition (ASR) system for Russian digits
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https://github.com/alepm1990/nba-analytics
Análisis y trabajos en Python con BBDD deportivas
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https://github.com/zvdy/movie_recommendation
Movie Recommendation Search Engine using Jupyter Notebooks, Pandas, Nnmpy, SciKit Learn, IPyWidgets
data-science jupyter-notebook machine-learning numpy pandas python scikit-learn
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https://github.com/Verozavr/taxi-data-analytics-project
Data analytics and visualization projects in Python
challenge data-analitics data-analysis-python data-analytics data-science data-science-projects data-visualization matplotlib numpy pandas project projects python seaborn taxi-data training-project
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https://github.com/absolutelysaurabh/machine-learning
My machine learning journey.
linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas seaborn
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https://github.com/naveen88112/clustering_customer_invoice_data
Customer Invoice Data Clustering This project uses clustering methods on customer invoice data for segmentation analysis. It preprocesses data, normalizes features, and uses K-Means and DBSCAN to cluster customers according to spending habits and shared locations.
clustering data-preprocessing data-visualization numpy pandas python silhouette-score standardization
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https://github.com/saifalibaig/covid-19-infection-rate-analysis-using-python
Analysis of Covid-19 Infection rate and the world happiness report to identify if there is any relationship between infection rate and happiness
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https://github.com/hari7261/playwithdata-python
This is one of the repository where I have put lot of data science and machine learning related questions on their solutions I hope you will find something better than some other platforms. Thank you Happy exploring
data-analysis data-science data-science-learning machienlearning matplotlib matplotlib-python ml numpy numpy-arrays numpy-library pandas pandas-dataframe pandas-library python python-script sklearn
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Teaching Material for Workshop for Engineering Students
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https://github.com/subhas-pramanik-09/car-detection-and-counting
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https://github.com/tnleite/loan-approval-prediction
Este repositório apresenta um modelo preditivo de aprovação de empréstimos, focado em minimizar o risco de inadimplência. Utilizando EDA e algoritmos de machine learning (Random Forest, XGBoost), ajustamos o threshold para maximizar o recall de inadimplentes, contribuindo para uma gestão de riscos eficiente.
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jupyter-notebook matplotlib numpy physics python python3 university-project
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https://github.com/v41bh4vr4jput/python---numpy
A collection of hands-on examples, exercises, and projects to master NumPy — the fundamental package for numerical computing in Python. This repository is perfect for beginners and advanced learners looking to explore array manipulation, mathematical operations, and high-performance data analysis.
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https://github.com/yipjunkai/pyvolr
Modern Black-Scholes-Merton pricing, Greeks, and implied volatility for Python. Rust core. Drop-in replacement for the abandoned py_vollib.
black-scholes black-scholes-merton greeks implied-volatility maturin numpy options options-pricing py-vollib pyo3 python quant quantitative-finance rust
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Exploring Student Performance Factors
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For my Linear Algebra Project Defense
matplotlib-python matrix numpy
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confusion-matrix correlation-matrix data-visualization dataset knn-classification linear-regression logistic-regression modeltraining navebayes numpy pandas python
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https://github.com/towaquimbayo/comp-4948
BCIT Computer Systems Technology (CST) - COMP 4948 (Predictive Machine Learning)
feature-selection keras matplotlib numpy pandas predictive-analytics predictive-modeling python pytorch regression scikit-learn sklearn statsmodels tensorflow
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https://github.com/iv4n-ga6l/Simple-Image-Segmentation
Simple implementation of image segmentation using the Watershed algorithm
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Geometric shapes recognizer API built in python
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https://github.com/darkksideyoda/dataminingclass
Data Mining Class 101
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https://github.com/soumyapro/house-price-prediction
Explored different attributes of Boston housing dataset then a part of dataset was used to train the linear regression algorithm after that trained model was used to give predictions on remaining part of dataset.
linear-regression matlplotlib numpy pandas sklearn svm
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https://github.com/eny2930/ai-ml-projects
A project demonstrating various libraries and tools in using algorithms in machine learning. This repository includes code samples, datasets, and detailed explanations.
iris-dataset keras linear-regression logistic-regression matplotlib numpy pandas pytorch sckiit-learn seaborn sentiment-analysis
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https://github.com/sorabh-kapoor/face-recognition-attendance-system
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flask flask-application knn ml numpy opencv pandas python scikit-learn
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Machine Learning and it's advance concepts
adaboost numpy pandas pca-analysis pipeline random-forest scikit-learn svm
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Trayecto de formación en Ciencias de Datos con Python y Pandas
data-science matplotlib numpy pandas python seaborn
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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
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https://github.com/shwetapardhi/assignment-03-q2--hypothesis-testing
Anova ftest statistics A hospital wants to determine whether there is any difference in the average Turn Around Time (TAT) of reports of the laboratories on their preferred list. They collected a random sample and recorded TAT for reports of 4 laboratories. TAT is defined as sample collected to report dispatch. Analyze the data and determine wheth
annova ftest hypothesis-testing numpy pandas python scipy significance-testing stats
Last synced: 11 Apr 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
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https://github.com/udacity-machinelearning-internship/support-vector-machine
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numpy pandas sklearn support-vector-machines svm
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https://github.com/rajan-bhateja/data-analysis-with-python
Cleaning, analysis and visualization on various datasets using Python and its various libraries via Jupyter Notebook
data-cleaning data-science jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/sadia-khan13/data-preprocessing
Welcome to the Data preprocessing Repository! This repository is dedicated to showcase the comprehensive resources and implementations related to Data Preprocessing using Python and Jupyter Notebook.
artificial-intelligence data-analysis data-mining data-preprocessing data-science jupyter-notebook matplotlib numpy pandas python seaborn-python sklearn
Last synced: 11 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
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https://github.com/aritrakar/ai-projects
🤖A centralized collection of links to my AI projects roughly divided by topic.
numpy pandas python pytorch tensorflow
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https://github.com/sadegh15khedry/comments-sentiment-analysis
text classification on comments using an ANN model.
collections deep-learning keras nlp numpy pandas python sentiment-analysis sklearn spacy unicodedata
Last synced: 27 Feb 2025
https://github.com/5hraddha/eda-instacart-customers-shopping-habits
In this Exploratory Data Analysis (EDA) project we'll clean up the data and prepare a report that gives insight into the shopping habits of Instacart customers.
data-visualization exploratory-data-analysis instacart matlpotlib numpy pandas
Last synced: 13 Apr 2026
https://github.com/mahendra077/linear-regression
analaysis linear-regression matplotlib-pyplot numpy pandas python regression seaborn statsmodels
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https://github.com/cyb3r-jak3/docker-alpine-pandas
Python alpine image with pandas, and numpy installed
alpine-image numpy pandas-python python-alpine
Last synced: 30 May 2026
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
Last synced: 15 Apr 2026
https://github.com/leogaudin/python_piscine_for_data_science
42 • Python Piscine for Data Science
42 data-science matplotlib numpy oop pandas piscine python
Last synced: 13 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/jcm-ai/robust-mlops-elevating-machine-learning-to-production-scale
This project aims to address the challenge faced by the Office of Foreign Labor Certification in managing a high volume of job certification applications for employers seeking to hire foreign workers in the United States. By leveraging ML models, this project seeks to streamline the process of shortlisting visa applicants based on historical data.
aws-ec2 aws-ecr aws-s3 cicd-pipeline data-science docker-image end-to-end exploratory-data-analysis git github-actions html machine-learning-models mlops mlops-project model-deployment mongodb numpy pandas python yaml
Last synced: 09 Apr 2026
https://github.com/moonshallow5/solar-system-simulation
A solar system simulation using the Beeman scheme and the Euler method
matplotlib-animation matplotlib-pyplot numpy
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https://github.com/muskan-setiya/spotify-data-analysis
Used Spotify.csv from Kaggle
matplotlib numpy pandas python seaborn tableau
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/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/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/nyx1311/toxicity-detector-using-bilstm
🚀 What we built: An AI-powered Women’s Safety & Well-Being Detector — a web app that flags multiple forms of online abuse in real time and offers tools for emotional recovery. 📊 Under the hood: BiLSTM + Word2Vec embeddings for deep, context-aware detection Trained on 21K+ labeled comments across 7 toxicity categories Built with Python, Tensor
epoch genism gpu keras-tensorflow matplotlib model nlp nlp-machine-learning nlpaug-textual numpy pandas pandas-library python3 streamlit tensorflow word2vec
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https://github.com/pythonhealthdatascience/stars-reproduce-lim-2020
Assessing the computational reproducibility of Lim et al. 2020 as part of STARS.
covid-19 covid19 discrete-event-simulation numpy open-science pandas python quarto reproducibility reproducible-research simulation
Last synced: 13 Apr 2026
https://github.com/ediloaz/linear-regression-with-lists-numpy-and-pytorch
This was done like the homework #01 of Machine Learning Course, of Computer Science Master.
arrays-raw jupyter-notebook machine-learning numpy python pytorch
Last synced: 13 Apr 2026
https://github.com/takana671/partiallytransparentimage
A simple tool to make an image partially transparent
geomipterrain numpy opencv pillow python3 transparent-image
Last synced: 07 May 2026
https://github.com/mohamed15058/amazon-sales
amazon-sales
dashboard excel machine-learning-algorithms matplotlib numpy pandas powerbi report seaborn
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https://github.com/aiwithqasim/ab-testing-for-shoefly.com
In this project, I had analyzed the data set of SHOEFLY.COM to find out valuable insights to check which platform is more useful for advertisement.
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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/harshs472/real-time-object-detection
Real time object detection that detects approximately 80 objects!!!!
Last synced: 27 Apr 2026
https://github.com/gyselle-marques/face-detection
Machine Learning: Face Detection System created using OpenCV.
colab-notebook face-classification face-detection machine-learning numpy open-cv-face-detection opencv opencv-python python
Last synced: 13 Apr 2026
https://gitlab.com/DLR-SY/mcodac
MCODAC is a Fortran library for the numerical evaluation of fiber composite damage. The library contains analysis methods specifically tailored to fiber composites, from micromechanical homogenization approaches to macroscopic fatigue models of orthotropic multilayer composites.
Last synced: 02 Apr 2025
https://github.com/lingesh81051/similar-template-document-matching-and-fraud-detection
An automated system for a health insurance company to streamline document processing, including template matching and fraud detection, resulting in reduction of processing time.
numpy opencv opencv-python pillow pymupdf pytesseract pytesseract-ocr python tkinter
Last synced: 13 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/lmizner/codecademy_marketing_data_anlaytics
Final project as a part of the Codecademy Data Science: Analytics career path
bar-chart boxplot count-plot data-cleaning exploratory-data-analysis for-loops heatmap histogram jupyter-notebook matplotlib-pyplot numpy pandas python regression-plot scatter-plot seaborn
Last synced: 12 Apr 2026
https://github.com/hotequil/computer-vision
Study about computer vision.
jupyter-notebook matplotlib numpy python scikit-learn
Last synced: 13 Apr 2026
https://github.com/theblueberrycompendium/keras-movie-classification
This is an basic application that uses Keras
ai keras-tensorflow numpy python3 simple-project
Last synced: 13 Apr 2026
https://github.com/anikdascodes/fantasy-cricket-project
🏏 Python simulation for generating 20K+ unique fantasy cricket teams with probability-based player selection and constraint optimization. Advanced algorithms, data analysis & visualizations included.
algorithm constraint-satisfaction cricket data-science fantasy-sports jupyter machine-learning numpy optimization pandas plotly probability python simulation sports-analytics
Last synced: 28 Apr 2026
https://github.com/yash-3-bit/pubg-game-prediction
catboost-model data-visualization feature-engineering numpy pandas
Last synced: 13 Apr 2026
https://github.com/adityashinde716/generating-images-with-gan-generative-adversarial-network-
Built a image generator deep learning model using GAN (Generative Adversarial Network) using MNIST dataset for generation.
adam-optimizer batchnormalization binarycrossentropy checkpoint deep-learning deep-learning-algorithms discriminator gan generative-adversarial-network generator glob imageio keras machine-learning matplotlib neural-network numpy os tensorflow
Last synced: 07 Oct 2025
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/lmizner/codecademy_airline_analysis
Using visualization to explore a dataset
histplot jupyter-notebook lmplot math matplotlib-pyplot numpy pandas python seaborn
Last synced: 08 May 2026
https://github.com/elvisrock/government_analysis
Esse projeto, tem como objetivo, analisar, explorar algumas técnicas e propor uma sugestão ao governo de forma geral, sem qualquer viés politico.
data-science machine-learning numpy pandas python sklearn
Last synced: 05 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/sweta-kaundilya/finance-data-project
This data project focuses on exploratory data analysis of bank stock prices throughout financial crisis all the way to early 2016.
financial-analysis jupyter-notebook matplotlib numpy pandas-python seaborn
Last synced: 16 May 2026
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/ejw-data/python-bitwise-operators
Difference between bitwise and logical operators when using pandas
Last synced: 08 May 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