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: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/lorenzorottigni/ml-advertising
Machine Learning python bootcamp: logistic regression on advertising dataset
ipynb logistic-regression machine-learning numpy pandas python scikit-learn seaborn
Last synced: 16 Apr 2026
https://github.com/hibashajahan55/python-abc-company-analysis
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 16 Apr 2026
https://github.com/aadityasikder/neural-network-from-scratch-
This notebook demonstrates a neural network implementation using NumPy, without TensorFlow or PyTorch. Trained on the MNIST dataset, it features an architecture with input layer (784 neurons), two hidden layers (132 and 40 neurons), and an output layer (10 neurons) with sigmoid activation.
backward-propagation evaluation forward-propagation mnist-dataset neural-network neural-networks-from-scratch numpy training
Last synced: 16 Apr 2026
https://github.com/khaymanii/calories-burnt-prediction-model
This model was built using Python and XGBoost Regression algorithm
matplotlib numpy pandas python scikit-learn
Last synced: 16 Apr 2026
https://github.com/asadiahmad/image-enhancement
Image Enhancement with OpenCV Numpy and MatPlotLib
gamma-correction image-enhancement image-processing matplotlib numpy opencv python roi-selection
Last synced: 16 Apr 2026
https://github.com/dina-hosny/investigate-a-dataset-project
Investigate a Dataset project - Udacity Data Analysis Professional Track. In this project, I used the Python libraries NumPy, Pandas and Matplotlib to analyze a dataset and communicate my findings about it.
csv data-analysis jupyter-notebook matplotlib numpy pandas python
Last synced: 16 Apr 2026
https://github.com/mugambi645/exploring-ebay-car-sales-data
Exploring ebay car sales dataset
car-sales data-analysis numpy pandas
Last synced: 16 Apr 2026
https://github.com/leftcoastnerdgirl/supervised_learning
This project demonstrates supervised machine learning using scikit-learn.
classification-reports confusion-matrix jupyter-notebook numpy pandas-python pathlib scikit-learn sklearn
Last synced: 16 Apr 2026
https://github.com/littie28/hazy-frames
Hierarchical coordinate frames - crystal clear transforms
3d coordinate-systems geometry numpy python reference-frames scipy transformations
Last synced: 18 Apr 2026
https://github.com/bishopce16/school_district_analysis
The school board requested an analysis on the various performance metrics for the school district.
data-analysis jupyter-notebook numpy pandas python visual-studio-code
Last synced: 16 Apr 2026
https://github.com/basith-ahmed/mtrp-butcher
A Machine Learning model, utilizing a range of technical indicators to accurately forecast forthcoming trend reversals with a high degree of confidence. This model is also complemented by an interactive web interface.
exponential-moving-average ipynb logistic-regression macd machine-learning matplotlib numpy pandas python rsi stochastic-rsi streamlit technical-analysis yfinance
Last synced: 04 Mar 2026
https://github.com/priyanshul28/ml_eda_regression_energyconsumptionforecasting
An EDA and Machine Learning Time-Series Regression Forecasting exercise on the PMJE Energy Consumption dataset demonstrating time-series analysis and the use of Time-Series Split, XGBoost, etc. The model is optimized using hyperparameter tuning through GridSearchCV. A Rob Mulla guided exercise.
forcasting machine-learning numpy pandas scikit-learn time-series-analysis
Last synced: 17 Apr 2026
https://github.com/fyt3rp4til/anomaly-detection
dbscan-clustering isolation-forest local-outlier-factor matplotlib numpy sklearn
Last synced: 05 Mar 2026
https://github.com/ricobuilds/ml-roadmap
Opinionated roadmap to machine learning in 2023
conda huggingface machine-learning matplotlib numpy pandas python pytorch
Last synced: 06 Mar 2026
https://github.com/radinshahdaei/ce40215-nc
Theoretical and practical assignments for "Numerical Computation".
jupyter-notebook numpy python sympy
Last synced: 17 Apr 2026
https://github.com/nathadriele/ifood-data-governance-pipeline
Este projeto demonstra uma solução completa de Data Governance com foco em qualidade, rastreabilidade, segurança e conformidade com LGPD. Utiliza tecnologias modernas como Streamlit, Airflow, dbt e Pydantic para implementar um ecossistema funcional e interativo com dashboard de governança de dados.
airflow dashboard data-analysis data-catalog data-engineering data-governance data-quality data-visualization dbt ifood lgpd matplotlib numpy observability-data pandas pipeline pyspark redis seaborn streamlit
Last synced: 02 Apr 2026
https://github.com/akshitvats026/heart_disease_prediction
An ML-based Heart Disease Prediction System that predicts the likelihood of heart disease based on user health parameters. Built using Python, Pandas, and Scikit-learn, the system performs data preprocessing, trains a predictive model, and provides real-time predictions with high accuracy.
accuracy-score logistic-regression machine-learning matplotlib-pyplot numpy pandas python scikit-learn
Last synced: 02 Apr 2026
https://github.com/davityak03/basics-of-python-
In this we have done multiple programs in python so as to develop the basic skill sets in python
array dictionary lists matrix numpy pandas programming python sets
Last synced: 02 Apr 2026
https://github.com/loong64/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
autograd deep-learning gpu loong64 loongarch64 machine-learning neural-network numpy python tensor
Last synced: 02 Apr 2026
https://github.com/ola-kaznowska/-image-processing
Image Processing
ai artificial-intelligence cv2 math numpy python
Last synced: 17 Apr 2026
https://github.com/mnagaharshithrao/diamondpriceprediction
Diamond Price Prediction is a machine learning project that predicts the price of diamonds based on features like carat, cut, color, clarity, and more. Using models such as XGBoost, Random Forest, and Gradient Boosting, the project aims to accurately forecast diamond prices, helping buyers and sellers in the diamond industry make informed decisions
machine-learning numpy pandas sckiit-learn xgboost
Last synced: 17 Apr 2026
https://github.com/orliluq/inmersion-datos-python
Desarrollar modelos de machine learning para predecir la probabilidad de incumplimiento crediticio de los clientes, utilizando diferentes algoritmos de clasificación (Regresión Logística, Árboles de Decisión, Random Forest, Naive Bayes).
colab-notebook numpy pandas python scikit-learn
Last synced: 02 Apr 2026
https://github.com/felixamaladhas/amazon-reviews-sentiment-analysis
This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.
matplotlib numpy pandas python scikit-learn
Last synced: 02 Apr 2026
https://github.com/viniciusdsandrade/discount-decider-with-python
discount numpy optimisation python
Last synced: 17 Apr 2026
https://github.com/cosmicsid004/air_draw
Digital drawing....
handtracking mediapipe numpy opencv
Last synced: 30 Apr 2026
https://github.com/nikhilgugwad/sentiment-analysis
Sentiment analysis for the Kannada language to classify Kannada sentences into different emotions.
Last synced: 17 Apr 2026
https://github.com/lmizner/codecademy_nba_trends
Investigate whether there is an association between two variables
chi2-contingency jupyter-notebook matplotlib numpy pandas pearson-correlation pyplot python seaborn
Last synced: 17 Apr 2026
https://github.com/sofiakhutsieva/analytical_report_for_producers_of_educational_programs
Подготовка аналитического отчета (Проект в skillbox )
analytics matplotlib numpy pandas seaborn
Last synced: 17 Apr 2026
https://github.com/prahaladhchandrahasan/object-localization
this is a blue colour detector in keras and tensorflow
computer-vision keras numpy pkl tensorflow
Last synced: 17 Apr 2026
https://github.com/mgitrov/cnn-on-cifar-10
A computer vision project aiming to classify random images uploaded by the user.
artificial-neural-networks computer-vision convolutional-neural-networks deep-learning keras matplotlib numpy pil regularization tkinter
Last synced: 17 Apr 2026
https://github.com/smartpottech/smartpot-datagenerator
SmartPot-DataGenerator simulates environmental and plant data (temperature, humidity, luminosity, pH, TDS, soil moisture) for hydroponic garden management. This data is used for testing, analysis, and visualization in the SmartPot web portal, helping optimize plant care without actual hardware sensors.
data-model matplotlib numpy python simulated
Last synced: 17 Apr 2026
https://github.com/mnitin-reddy/content-based-recommendation-system-using-deep-learning
A content-based movie recommendation system using deep learning to predict user ratings by leveraging user and movie features. The system integrates neural networks for feature extraction, utility scripts for data processing, and supports both new and existing user recommendations.
deep-learning keras neural-networks numpy pandas python scikit-learn tensorflow
Last synced: 03 Apr 2026
https://github.com/neetigyab/pdf_form_parser
Older Test version of designated PDFReader project
excel forms matplotlib numpy ocr opencv pandas pdf pdf-converter pdfplumber pytesseract python
Last synced: 17 Apr 2026
https://github.com/noluyorabi/bravais-pearson-interactive
Bravais-Pearson Interactive – A web app for visualizing Pearson correlation. Generate datasets, analyze correlations, and explore regression lines, r², and p-values interactively.
data-visualization interactive-analysis matplotlib numpy pearson-correlation scipy seaborn statistics streamlit
Last synced: 17 Apr 2026
https://github.com/gregoritsch3/project_python_jobs_data_analysis
A multi-library Data Analysis Python project that draws useful insights from existing job data. It provides useful exploratory insight about job postings in the Data sector, such as the distribution of remote/non-remote jobs, jobs with/without healthcare, top paying and most demanded data roles, and more.
matplotlib numpy pandas python scipy seaborn
Last synced: 04 Apr 2026
https://github.com/yuvrajsaraogi/sales-prediction-using-python
Sales prediction involves estimating future product sales based on factors like advertising spend, target audience, and platform. Businesses rely on data scientists to forecast sales and optimize advertising costs. Machine learning in Python can be used for this task.
data data-analysis data-science data-visualization machine-learning matplotlib natural-language-processing numpy pandas prediction python sales-prediction-using-python sql
Last synced: 19 Apr 2026
https://github.com/jass024/bitcoin-historical-analysis
Performed comprehensive time-series analysis on 14+ years of Bitcoin historical data using Python (Pandas, NumPy, Plotly). Calculated key technical indicators (SMA, EMA, RSI, volatility) to identify market trends, potential anomalies, and areas of regulatory concern. Visualized results using interactive Plotly charts.
Last synced: 18 Apr 2026
https://github.com/thoughtscript/python_api_2023
Some fun with Flask, Python, and Machine Learning
angular docker docker-compose flask machine-learning mysql numpy
Last synced: 04 Apr 2026
https://github.com/kasraskari/python-for-data-science
Foundational concepts and libraries for data science with Python.
data-science jupyter-notebook matplotlib numpy pandas python scipy
Last synced: 04 Apr 2026
https://github.com/mnitin-reddy/a-b-testing-and-regression-analysis-for-ad-performance-optimization
Analyzed the performance of Facebook and AdWords ads using A/B testing and regression analysis to identify trends, correlations, and cost-effectiveness. Key insights included distribution of clicks and conversions, monthly trends, and cost-per-conversion analysis to optimize ROI.
abtesting data-science hypothesis-testing machine-learning matplotlib numpy pandas scikit-learn scipy seaborn statsmodels
Last synced: 04 Apr 2026
https://github.com/yashsonaar/machine-learning-tasks
This repository has machine learning tasks which include classification, recommendation system, fraud detection system
classification jupyter-notebook machine-learning numpy pandas prediction python scikit-learn testing
Last synced: 04 Apr 2026
https://github.com/ccolpasm/pageviewanalyzer
PageViewAnalyzer analyzes and visualizes time series data of forum visits (2016-2019). It uses Pandas, Matplotlib, and Seaborn to create line plots, bar charts, and box plots, highlighting trends, monthly averages, and seasonality in page views. Perfect for data exploration with Python.
data-science matplotlib numpy pandas python
Last synced: 18 Apr 2026
https://github.com/sultanazhari/decisive-model-with-high-profit-potential-and-low-risk
OilyGiant mining company finding the best place for 200 new well points, As an Data Scientist we're creating a model who can choose the best 200 point by profit and risk.
accuracy-score chi2-contingency confusion-matrix logistic-regression matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn
Last synced: 18 Apr 2026
https://github.com/abideen-olawuwo/converted-docker
Deploy converted model into docker
docker dockerfile flask matplotlib numpy pandas-library pickle pipfile requests sklearn
Last synced: 05 Apr 2026
https://github.com/rafagomezguillen/data-science-python
Data Science and Python notes
data-science django-rest-framework matplotlib numpy pandas python seaborn webscraping
Last synced: 18 Apr 2026
https://github.com/manalisbhavsar/mall-customers-clustering
K-Means clustering to mall customer data, segmenting customers based on their annual income and spending score. To identify patterns and group customers for targeted marketing.
data-analysis data-visualization matplotlib numpy pandas python scikit-learn
Last synced: 18 Apr 2026
https://github.com/anmolbansal7/lost-and-found
Content-Based Image Retrieval
content-based-image-retrieval flask keras-tensorflow matplotlib numpy pillow similarity-measures webapp
Last synced: 05 Apr 2026
https://github.com/ben854719/nvidia---gen-ai-
The goal of the project is to analyze and predict with the use of AI for the revenue of Nvidia
matplotlib numpy pandas python pytorch
Last synced: 05 Apr 2026
https://github.com/merekat/ml-shortcut-library
A Visual Studio Code shortcut library designed to simplify and accelerate machine learning development.
cnn coding data-science deep-learning efficiency extension extensions fnn machine-learning machinelearning nlp numpy pandas python scikit-learn shortcut shortcuts tensorflow visual-studio visual-studio-code
Last synced: 05 Apr 2026
https://github.com/nowon1/insurance-claim-prediction_version
This project aims to predict the insurance claim amounts based on various customer attributes using machine learning techniques. The project involves data preprocessing, exploratory data analysis, feature engineering, and model training and evaluation.
data-preprocessing data-science data-visualization exploratory-data-analysis feature-engineering insurance jupyter-notebook machine-learning numpy pandas predictive-modeling python random-forest regression-analysis scikit-learn
Last synced: 05 Apr 2026
https://github.com/andres15alvarez/numericalcalculator
Calculator of roots of equations and system of linear algebraic equations.
numerical-methods numpy python scipy
Last synced: 05 Apr 2026
https://github.com/ahmaruff/kmeans-img-compress
Simple python image compression library using K-Means clustering
color-quantization image-compression image-processing kmeans kmeans-clustering numpy python
Last synced: 18 Apr 2026
https://github.com/znreza/paradoxes
Q-learning algorithm from scratch in python for optimal path finding
grid grid-search matrix numpy python qlearning-algorithm reinforcement-learning
Last synced: 18 Apr 2026
https://github.com/zombietdv/rfl-13_8
Implementaion for Genetic algorithm and Q-Learning.
genetic-algorithm grid-world machine-learning numpy pygame q-learning
Last synced: 18 Apr 2026
https://github.com/pedro-stanaka/dlnd-projects
Projects from Deep Learning Nanodegree from Udacity
artificial-neural-networks deep-learning machine-learning numpy python3
Last synced: 18 Apr 2026
https://github.com/mayankmittal29/criticalphenomena-exploring_phase_transitions_and_self-organized_criticality
A computational physics project exploring critical phenomena through percolation theory and the Bak-Tang-Wiesenfeld sandpile model.
criticality-c gif-animation jupyter-notebook matplotlib numpy percolation-theory python3 sandpile-model
Last synced: 18 Apr 2026
https://github.com/codetun/wie-act-challenge-ai
Our AI model, integrated with the Defend Her extension, uses advanced natural language processing (NLP) to predict and identify offensive or harmful language in real-time 🧠💬🚫. By continuously analyzing content, it ensures accurate detection of bad words, enhancing the extension's ability to protect users and promote a safer online environment 🌐
colab csv jupiter-notebook kaggle nltk numpy pandas
Last synced: 19 Apr 2026
https://github.com/mwoss/opencv-raspberry-pi
Video capture on Raspberry Pi/PC using OpenCV
numpy opencv python rapsberrypi video-capture
Last synced: 19 Apr 2026
https://github.com/mugambi645/eda-projects
A list of EDA projects
data-analysis eda matplotlib numpy pandas plotly seaborn webscraping
Last synced: 19 Apr 2026
https://github.com/ola-kaznowska/ai-python
Artificial Neural Networks in Python
ai artificial-intelligence artificial-neural-networks machine-learning numpy numpy-library python3 tensorflow tensorflow2
Last synced: 20 Apr 2026
https://github.com/shreeya-methuku/predictive_analysis
This project leverages machine learning to perform time-series forecasting on key financial metrics, including sales (income), expenses, cash flow, and profit.
arima financial-forecasting numpy pandas sarima xgboost
Last synced: 20 Apr 2026
https://github.com/montanaz0r/suicide-rate-analysis
Testing a significance of the correlation between a suicide rate and a number of psychiatrists and psychologists working in the mental health sector
analysis correlation data data-analysis data-science jupyter-notebook jupyter-notebooks matplotlib numpy pandas psychology python python-3 seaborn statistics suicide-rate
Last synced: 20 Apr 2026
https://github.com/paulo-santos-ds/previsao_preco_carros
O objetivo é realizar predições em um aplicativo de vendas de carros. A qualidade e velocidade de predições é crucial para o negócio. O projeto utiliza dados históricos, especificações técnicas, versões de acabamento e preços.
lightgbm math matplotlib numpy pandas python time
Last synced: 20 Apr 2026
https://github.com/s1dewalker/portfolio_analysis
MPT in Python | Efficient Frontier modeling, Fama French 3 Factor Analysis, Monte Carlo Simulations and Portfolio Risk Analysis (Sharpe, VaR)
efficient-frontier equity financial-research monte-carlo-simulation numpy pandas portfolio-analysis portfolio-management portfolio-optimization python quantitative-analysis quantitative-finance regression regression-models risk risk-analysis risk-management risk-models value-at-risk volatility
Last synced: 20 Apr 2026
https://github.com/wrighang/06_python-api-challenge
Module 6: Python APIs
api citipy geoapify hvplot jupyter-notebooks matplotlib numpy open-weather-api pandas python scipy-stats
Last synced: 20 Apr 2026
https://github.com/vyjayanthipolapragada/image_cartoonification_opencv
Cartoonify images using opencv and tkinter
cartoonify computer-vision easygui image-processing imageio matlplotlib numpy opencv pillow python tkinter
Last synced: 20 Apr 2026
https://github.com/carefree0910/mlblog
My Machine Learning Blog
deep-learning machine-learning numpy visualization
Last synced: 20 Apr 2026
https://github.com/venkat-0706/air-drawing
A real-time hand gesture drawing app using Python, OpenCV, and MediaPipe to draw, erase, and switch colors on a canvas using finger gestures via webcam.
computer-vision hand-gesture-recognition mediapipe mediapipe-hands numpy opencv-python python realtime-object-tracker
Last synced: 20 Apr 2026
https://github.com/souvikmajumder26/neural-network-from-scratch
🚀 Building a simple Neural Network to classify the images of the Fashion-MNIST dataset, using only numpy and no TensorFlow, Keras, or PyTorch.
config fashion-mnist logger neural-network neural-network-from-scratch notebook-jupyter numpy project python
Last synced: 21 Apr 2026
https://github.com/sazzadul-eanan/basic_numpy_learning
Numpy_Basics
jupyter-notebook numpy numpy-arrays numpy-library numpy-matrix numpy-tutorial
Last synced: 22 Apr 2026
https://github.com/syedsaadahmed/playing-with-pandas-numpy-matplotlib
Practicing pandas, matplotlib and numpy for different data-sets, practicng these libraries and putting all the bit here in this repository
jupyter-notebook matplotlib numpy pandas pandas-numpy-matplotlib python3
Last synced: 05 Jun 2026
https://github.com/ahmad-ali-rafique/numpy-mastery-notebook
Inside this repository, you'll discover a comprehensive notebook dedicated to showcasing various NumPy array methods and operations. From basic array manipulation to advanced techniques, I've compiled a collection of examples and explanations to help both beginners and seasoned Python developers deepen their understanding of NumPy.
dataanalytics numpy numpy-arrays numpy-exercises numpy-library numpy-python
Last synced: 24 Apr 2026
https://github.com/redinfinitypro/pygamecicruit
Rating: (6/10) The code combines a Pygame GUI application with a PySpice circuit simulation, providing a user-friendly interface with buttons, menu options, dropdown menus, input boxes, sliders, and text elements.
matplotlib numpy os pygame pyspice random sys
Last synced: 24 Apr 2026
https://github.com/mattjudge/numpy_caching
Provides a method to cache the results from functions (typically numpy-based) in persistent storage
Last synced: 25 Apr 2026
https://github.com/jagkagd/np-xarr
Perform a numpy array transformation intuitively by giving simple patterns.
Last synced: 25 Apr 2026
https://github.com/prathush-kumar/fake_news_detection
Developed an intelligent system to identify and classify fake news articles using Natural Language Processing (NLP) and Machine Learning techniques.
classification machine-learning natural-language-processing numpy pandas sklearn-library
Last synced: 26 Apr 2026
https://github.com/dyk-team/vna-impedance-measurements
Calibration and deembedding for impedance measurments on PCB cells
antenna-equation cst-studio de-embedding delay-time lab-automation magneto-impedance microstrip numpy pcb-cells phase-unwrapping probe python rohde-schwarz scattering-parameters scpi-instruments sensors solt-calibration surface-impedance vna zhejiang-university
Last synced: 27 Apr 2026
https://github.com/hinanohart/dostosim
Dostoevskian agent-based simulation: seven literary archetypes as a unified reward decomposition. Anti-optimisation, dignity-as-utility, ideological cascade, gambler-ruin — pre-registered H1-H4 with bootstrap CI / BH-FDR / Cliff's delta.
abm agent-based-modeling behavioral-economics bootstrap-ci computational-social-science dostoevsky literature networkx numpy python reproducible-research
Last synced: 27 Apr 2026
https://github.com/brendandasilva/applieddatascience
4 projects from Applied Data Science
data-science numpy pandas python
Last synced: 27 Apr 2026
https://github.com/saptarshi11/diamlp---diabetes-classification-with-multilayer-perceptron
Diabetes Classification using Multilayer Perceptron (MLP) is a binary classification problem where the goal is to predict whether a patient has diabetes (positive class) or not (negative class) based on a set of biomedical features or risk factors.
artificial-neural-networks binaryclassification machine-learning mlp-classifier numpy seaborn
Last synced: 27 Apr 2026
https://github.com/lesterevse/numvision
Artificial Intelligence for recognizing numbers
Last synced: 27 Apr 2026
https://github.com/erikbavenstrand/neural-network-implementation
An Artificial Neural Network Implementation in Numpy to work with MNIST dataset.
ai feedforward-neural-network machine-learning mnist neural-network numpy python
Last synced: 27 Apr 2026
https://github.com/gyselle-marques/calculodemetricas-desafiodio
Machine Learning: Cálculo de Métricas de Avaliação de Aprendizado em Python.
accuracy brazilian-portuguese colab-notebook confusion-matrix dio-bootcamp dio-challenges f-measure f-score machine-learning matplotlib numpy precision python recall sklearn specificity statistics xgboost
Last synced: 27 Apr 2026
https://github.com/filipporanza/signal_lib
personal programs for signal analysis
numpy python3 signal-analysis signal-processing
Last synced: 28 Apr 2026
https://github.com/yanyan69/acss-techlaro
arduino-uno automation numpy opencv prototype python raspberry-pi raspberry-pi-camera ultralytics yolo
Last synced: 28 Apr 2026
https://github.com/hadson0/chess-live-ratings-data
A study project focused on web scraping the live chess ratings from chess.com, with data analysis and visualization on nearly 5000 players in the classical world ranking.
beautifulsoup chess data-analysis data-visualization numpy pandas python seaborn web-scraping
Last synced: 28 Apr 2026
https://github.com/pedronjorge/average-face
Generate an average face from a given set of images by detecting facial landmarks, aligning features, and blending the images using Delaunay Triangulation. Libraries used: Dlib, OpenCV, NumPy
dlib image-generation jupyter-notebook numpy opencv python3
Last synced: 30 Apr 2026
https://github.com/semanticdata/traffic-studies
Comprehensive traffic analysis dashboard for Crystal, Minnesota, built with Streamlit.
matplotlib numpy pandas plotly python seaborn streamlit
Last synced: 28 Apr 2026
https://github.com/mahmood-anaam/wheeled-robot-simulation
A Python simulation of a robot equipped with four Swedish wheels, focusing on accurately modeling its kinematics and dynamics to analyze specific motion scenarios.
kinematics-dynamics matplotlib-python numpy python robotics-simulation roboticstoolbox-python swedish-wheels
Last synced: 28 Apr 2026
https://github.com/waghraj1699/codeclauseinternship_predicting_house_prices
Task 1 of the CodeClause Internship
data-science machine-learning-algorithms numpy pandas-dataframe
Last synced: 28 Apr 2026
https://github.com/linsanity03/fraud_detection_using_autoencoders
Leverage autoencoders, a type of neural network, for detecting fraudulent financial transactions by identifying anomalies in transaction patterns that deviate from the norm.
matplotlib numpy pandas pytorch seaborn
Last synced: 28 Apr 2026
