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/amira921/eda-and-visualization-netflix-movies-and-tv-shows
EDA for Netflix Movies and TV Shows
datacleaning datamanipulation datapreprocessing datavisualization exploratory-data-analysis insights matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/mostafa-ghorab/global-happiness-analysis
An analysis of global happiness rankings based on various factors like GDP, family support, health, and freedom from the World Happiness Report (2015-2017). This project provides data visualizations and statistical insights into how these factors influence happiness scores in different regions.
business-analysis data-analysis data-visualization matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/aymen016/leetcode-problems
This repo is designed to enhance your problem-solving skills through daily coding challenges, complete with clear explanations and well-structured solutions. 🎯
coding decision-making leetcode-python leetcode-solutions numpy problem-solving python
Last synced: 09 May 2026
https://github.com/abideen-olawuwo/predictive-maintenance
A predictive maintainance model
decision-trees ipython matplotlib numpy pandas plotly python random-forest seaborn sklearn smote
Last synced: 27 Mar 2026
https://github.com/eljandoubi/breakout-strategy
Implementation of the Breakout Strategy
breakout numpy pandas scipy trading-algorithms trading-strategies training
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/thekartikeyamishra/customer-retention-predictor
The Customer Retention Predictor is a Python-based tool designed to help businesses predict customer churn using historical data. This project is particularly beneficial for small businesses and MSMEs in India, allowing them to identify customers at risk of leaving and take proactive measures to retain them.
joblib machine-learning numpy pandas python scikit-learn tinker
Last synced: 16 Apr 2026
https://github.com/shiqilu77/machinlearning-lol_gaming
a supervised model that predicts the match winning rate in LOL game based on the lineups of both sides. Implemented data processing by multiple python API including sklearn, NumPy, pandas, and by feature encoding, kNN, Synthetic Minority Oversampling Technique, etc
league-of-legends machine-learning numpy supervised-learning
Last synced: 16 Apr 2026
https://github.com/archish27/pythontutorial
Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications
matplotlib numpy pandas pygame python python-2 python-3 scikit-learn soup
Last synced: 01 Apr 2026
https://github.com/shreeparab1890/indian-cricketer-classifier
This notebook is trying to bulia a model which will predict a Indian Cricketer based on the given image. In this project we have handled 8 Indian Cricketers and build a model to classify the given image between this 8 Cricketers.
image-classification matplotlib numpy opencv pandas python random-forest-classifier scikit-learn sklearn streamlit
Last synced: 01 Apr 2026
https://github.com/samalyarov/practicum_projects
Various data analysis projects displaying tools and instruments that I am proficient with
data-analysis datetime folium geojson matplotlib numpy pandas plotly postgresql powerpoint python regular-expressions requests-library-python scipy seaborn sql sqlalchemy tableau tqdm
Last synced: 02 Apr 2026
https://github.com/zilean12/digital-image-processing
Digital Image Processing
bit-plane-slicing computer-vision digital-image-processing numpy opencv warping
Last synced: 12 May 2026
https://github.com/michaelgermini/python-3d-programming-book
Complete Python & 3D Programming Book: 30 chapters, 120+ examples, real-time ray tracing, ML graphics, OpenGL, NumPy
3d-graphics computer-graphics educational game-development graphics-programming machine-learning numpy opengl python ray-tracing tutorial
Last synced: 16 Apr 2026
https://github.com/parth-jatav/super-store-analysis-project
The Super Store Analysis project leverages Python libraries such as pandas, matplotlib, and numpy to perform a comprehensive analysis of a retail store's data. This project includes data cleaning, visualization, and statistical analysis to identify key trends, optimize inventory, enhance decision-making processes for improved business performance.
data-analysis matplotlib numpy pandas python super-store
Last synced: 12 Apr 2026
https://github.com/rishabhmathur06/data_analysis-netflix
data data-analytics data-science matplotlib-pyplot numpy pandas python seaborn
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https://github.com/kganitis/bam-engine
High-performance Python implementation of the macroeconomic agent-based BAM model using ECS architecture
agent-based-modeling computational-economics macroeconomics numpy python
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https://github.com/naveen88112/healthcare
HealthCare Data Analysis and Forecasting This project examines healthcare data by processing missing values with KNN imputation, preprocessing features, and training classification models (Logistic Regression and Random Forest). The output includes performance metrics such as accuracy, confusion matrix, precision, recall, and ROC analysis.
data-visualization feature-engineering machine-learning model-evaluation numpy pandas python scikitlearn-machine-learning
Last synced: 12 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/dellano54/extreme-matmul
fastest matmul operation than numpy for intel CPU (xeon)
matmul matrix matrix-library matrix-multiplication numpy numpy-arrays numpy-library numpy-matrix pytorch pytorch-implementation pytorch-lightning
Last synced: 16 Apr 2026
https://github.com/shreeparab1890/chat-analyzer
This project is a Data Analysis project to analyze the WhatsApp chats.
data-analysis numpy pandas python
Last synced: 12 Apr 2026
https://github.com/sumitkundu102022/ecobuddy
EcoBuddy: Personalized Carbon Footprint Tracker
bcrypt numpy pandas plotly pymongo python-dotenv requests streamlit
Last synced: 12 Apr 2026
https://github.com/shreenidhi7700/skimlit-project
Natural Language Processing Project -SKIMLIT
google-colab lstm-neural-networks numpy pandas python3 rnn-tensorflow tensorflow
Last synced: 09 Apr 2026
https://github.com/supershivam5/python_projects
💻 Python programming with Numpy, Pandas, Matplotlib.🌟 Love exploring new technologies. Check out my projects!
matplotlib-pyplot numpy pandas scikit-learn seaborn
Last synced: 17 Apr 2026
https://github.com/kunalkumar2001/data-analyst-python-and-its-library
Python (Basics to Advance) and Its Library for Data Analyst
dataanalyst matplotlib numpy pandas python seaborn
Last synced: 17 Apr 2026
https://github.com/farzeennimran/or-and-and-gates-using-perceptron-learning
Training single-layer perceptrons to get the outputs of OR and AND logic gates.
data-science gates machine-learning neural-network neural-networks-from-scratch numpy perceptron-learning-algorithm perceptron-neural-networks python
Last synced: 17 Apr 2026
https://github.com/chandkund/movie-recommender-system
Unlocking the magic of personalized movie recommendations! This project uses the Cosine Similarity Algorithm to suggest movies based on user-selected titles, making movie discovery more enjoyable.
cosine-similarity matplotlib nltk numpy pandas-python seaborn
Last synced: 12 May 2026
https://github.com/rahulsm20/insurance-data
A data analytics project dealing with risk assessment and it's effects in health insurance.
data-analysis data-analytics machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/arrmansa/leetcode-nice-solutions
Some solutions for leetcode problems that I found fun - either the algorithm or using numpy bruteforce where it shouldn't be
leetcode leetcode-python leetcode-python3 leetcode-solutions numpy python python3
Last synced: 16 Mar 2025
https://github.com/abhishek-k-git/soulmegle
expressjs flask html nodejs numpy python3 reactjs scikit-learn socket tailwindcss
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https://github.com/gautam-cs/data_science
In this project, I was trying to get most of the relevent information of the data using library like numpy, pandas. I have worked on data like aadhar data, Olympics data
aadhar-data csv data-science json numpy olympics-data pandas python35
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https://github.com/shashwat9kumar/us-accidents-data-analysis
Analysis of the US accidents using the US-Accidents dataset (4.2 million entries) from Kaggle
accidents accidents-analysis data-analysis data-analytics data-visualisation data-visualization matplotlib numpy pandas python
Last synced: 17 Apr 2026
https://github.com/prashhhant213/customer-behavior-analysis-for-walmart-black-friday-sales
This project is a Walmart case study analyzing customer purchase behavior by gender and demographics to inform business decisions, especially around spending habits during events like Black Friday.
matplotlib numpy pandas python scipy seaborn
Last synced: 06 Jan 2026
https://github.com/ricobuilds/ml-roadmap
Opinionated roadmap to machine learning in 2023
conda huggingface machine-learning matplotlib numpy pandas python pytorch
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https://github.com/sujalk777/signal_systems_lab
This repository contains the assignments for the Signal Systems Laboratory course offered at IIT Jammu Autumn 24
jupyter-notebook librosa linux matplotlib numpy python raspberry-pi
Last synced: 12 Apr 2026
https://github.com/defi0x1/facial-expression-recognition
Facial-Expression-Recognition Using CNN
cnn data-augmentation facial-expression-recognition numpy tensorflow
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https://github.com/neerajcodes888/a-novel-used-car-price-prediction-model-based-on-lindenoise
Welcome to the LinDenoise Repository! LinDenoise offers a smart solution for cleaning noisy data in regression tasks. Integrated seamlessly within the widely-used scikit-learn framework, it effortlessly enhances data quality while improving predictive accuracy
car-price-prediction deep-learning ipynb-notebook machine-learning numpy pandas python3 visualization
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https://github.com/tnleite/credit-card-customer-clustering
Este repositório apresenta um projeto de segmentação e predição de clientes de cartões de crédito. Utilizando EDA, clusterização (K-Means) e machine learning, o objetivo é prever o grupo de novos clientes, apoiando estratégias de marketing personalizadas.
classification-algorithm clustering-algorithm clustering-analysis data-science exploratory-data-analysis kmeans-clustering logistic-regression machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn seaborn
Last synced: 07 May 2026
https://github.com/esraamhmd/intelligent-skin-cancer-image-based-detection-models
This project combines traditional machine learning approaches with advanced deep learning techniques to assist healthcare professionals in early diagnosis and improve patient outcomes.
ai deep-learning ham10000 isic kaggle machine-learning matplotlib numpy pandas python3 pytorch seaborn skin-cancer skin-detection sklearn time torchvision tqdm
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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
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https://github.com/lmizner/ece_c247_neuralnetworks
Course work from UCLA's ECE C247 - Neural Networks
backpropogation cnn convolutional-neural-networks convolutional-recurrent-neural-network crnn gated-recurrent-units keras long-short-term-memory lstm machine-learning matplotlib numpy pandas python recurrent-neural-networks regularization rnn sklearn tensorflow
Last synced: 02 Apr 2026
https://github.com/jupfu/beck-view-digitalize
Digitalize 16mm films with Python & reactivex & FT232H
cython ft232h libpng multiprocessing numpy opencv python3 reactivex um232h
Last synced: 09 May 2026
https://github.com/pranavv34/customer-segmentation
Predictive modeling and customer segmentation project using neural networks to forecast sales and categorize customers for targeted marketing in the online retail sector.
keras matplotlib numpy pandas python seaborn sklearn tensorflow
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https://github.com/niteshchawla/clustering-ml
Analyzing the vast data of learners can uncover patterns in their professional backgrounds and preferences. Allowing Scaler to make tailored content recommendations and provide specialized mentorship.
cluster-analysis clustering hierarchical-clustering k-means-clustering machine-learning numpy pca-analysis visualisation
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https://github.com/prajapatsur/data-analytics-1
Wanted to revise all the basic concepts of the data cleaning, transformation and analysis, so worked on this project. Took a little bit help of AI tool to implement some fresh concepts.
matplotlib numpy pandas sklearn
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https://github.com/kernel-loophole/numerical-computing
Numerical Computing use python(Numpy,metplotlib).
numpy python quantum-computing
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https://github.com/rohitinu6/image_cartoonify
To Cartoonify an Image using opencv-python
image-processing matplotlib numpy opencv opencv-python python
Last synced: 12 Apr 2026
https://github.com/kiarashyavari/python_interview
Practice intermediate to advance topics of Python here
decorators generator multiprocessing multithreading numpy pandas python python3
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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
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https://github.com/raduldev/ibm_capstone_final_project
IBM Data Science Professional Certifcate Capstone Project
api arcgis-api folium-maps foursquare-api ibm-watson jupyter-notebook matplotlib numpy pandas python3 sklearn
Last synced: 02 Apr 2026
https://github.com/viniciusdsandrade/discount-decider-with-python
discount numpy optimisation python
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https://github.com/omogbolahan94/lego-analysis
Analysis of LEGO data from 1949 to 2021.
Last synced: 09 May 2026
https://github.com/omjaju18/market-trend-analysis-using-ml-lstm-model
Market Trend analysis using LSTM Model. Use Jyputer Notebook .
lstm-neural-networks machine-learning machine-learning-algorithms numpy pandas python
Last synced: 17 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/vishal-verma-96/oil_spill_prediction_using_ml
This ML project predicts oil spills using various machine learning algorithms like XGBoost and Random Forest. This project also contains saving and load of the model to make predictions on a sample dataset.
data-science machine-learning-algorithms machine-learning-classification matplotlib model-building-and-evaluation numpy pandas pickle python-3 scikitlearn-machine-learning xgboost
Last synced: 17 Apr 2026
https://github.com/antonio-f/regularization-methods
Shrinkage methods: Ridge Regression and Lasso
lasso lasso-regression machine-learning numpy python regularization ridge-regression scikit-learn
Last synced: 17 Apr 2026
https://github.com/vikpires/ds_tips-dataset
Projeto individual do bootcamp de ciência de dados avanti 2024.2, com o objetivo de analisar e observar padrões no conjunto de dados "Tips".
data-analysis data-science data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn tips
Last synced: 17 Sep 2025
https://github.com/kaushik-puttaswamy/exploratory-data-analysis-using-python
This project applies Exploratory Data Analysis (EDA) using visualizations like box plots, scatter plots, and correlation matrices. It helps identify patterns, select ideal functions via least squares error, and map test data while evaluating deviations.
bokeh expolatory-data-analysis matplotlib numpy pandas python seaborn sqlalchemy
Last synced: 17 Apr 2026
https://github.com/urvee1810/market_basket_analysis
A data mining project analyzing Instacart's 3 million grocery orders to uncover customer shopping patterns and product associations. Using market basket analysis and the Apriori algorithm, the project reveals key insights about shopping behavior, product combinations, and temporal patterns, providing valuable recommendations for retail strategy
apriori-algorithm data-mining data-visualization machine-learning market-basket-analysis matplotlib mlxtend numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/shhiivvaam/regression
Linear Regression Model
linear-regression numpy python
Last synced: 10 May 2026
https://github.com/sayan520/titanic-data-insights
Conducting data analysis on Kaggle's Titanic: Machine Learning from Disaster dataset using essential data wrangling, exploratory data analysis (EDA), and visualization techniques to uncover insights, identify patterns, and explore factors influencing passenger survival.
jupyter-notebook kaggle matplotlib numpy pandas python scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/rosieoh/emergency_dataanalysis
오픈데이터분석-응급의료체계 방안 정책 제안 데이터 분석
ipython matplotlib numpy pandas python scikit-learn scipy
Last synced: 04 Apr 2026
https://github.com/sultanazhari/prediction-model-of-customers-leaving
Bank Beta Company focus on retain existing customers, our task is to create a model that predicts whether or not a customer will leave the bank soon.
accuracy-score confusion-matrix logistic-regression-algorithm matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn
Last synced: 20 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/separatrixxx/aviahack5
✈️ Aviahackathon 5
fastapi http-server numpy pandas pyside6 python react sqlite3 tailwind-css typescript
Last synced: 04 Apr 2026
https://github.com/franciscomartinez45/social-network-analysis
Applied to analyze how misinformation propagates within communities. With the goal of addressing health disparities and improving health literacy particularly in minority populations, the project explores both supervised and unsupervised learning approaches to understand patterns in graph-structured data using a custom Graph Attention Network
matplotlib ml networkx numpy pytorch
Last synced: 09 May 2026
https://github.com/abhijeet107/superstore-sales-data
Many more to come stay tune
matplotlib numpy pandas python3 seaborn-python
Last synced: 17 Apr 2026
https://github.com/dhruvv1402/x-twitter-bot-python
A Python-powered Twitter bot for content generation, analytics, and automation using Twitter API v2.
huggingface-transformers matplotlib nltk numpy pandas pillow python requests schedule textblob threading tweepy twitter-api wordcloud
Last synced: 09 May 2026
https://github.com/datamallo/python101
The ressources you need to learn or get better in Python. Covering the basics of Python3, NumPy and Pandas for
Last synced: 18 Apr 2026
https://github.com/akashash01/navie_bayes
It's an simple probabilistic classifiers based on applying Bayes theorem with strong independence assumptions between the features. Highly effective for text sequence oriented data(independent variables).
data-science machine-learning numpy pandas python sklearn supervised-learning
Last synced: 09 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/nicovandenhooff/kaggle-competitions
A repository that contains my Kaggle projects.
data-analysis data-visualization deep-learning exploratory-data-analysis kaggle machine-learning matplotlib modeling neural-network numpy pandas seaborn sklearn
Last synced: 04 Apr 2026
https://github.com/jvictor011/big-five-personality-test
Usando machine learning para fazer o agrupamento de um sistema de traço de personalidade
matplotlib numpy os pandas python seaborn
Last synced: 07 May 2025
https://github.com/rishieeee/spam-email-classifier
A simple machine learning project that classifies emails as spam or ham using TF-IDF and a Multinomial Naive Bayes model. The project covers data cleaning, text preprocessing, feature extraction, model training, and evaluation. A great beginner-friendly introduction to NLP and ML workflows.
multinomial-naive-bayes numpy pandas python sckit-learn tf-idf
Last synced: 09 May 2026
https://github.com/andryadsm/predicting-house-prices
🏘️ Project Predicting House Prices (Python)
data-analysis data-preprocessing data-visualization feature-engineering house-prices machine-learning matplotlib numpy pandas python real-estate seaborn sklearn
Last synced: 04 Apr 2026
https://github.com/awanraskall/retail-demand-analysis
Data analysis of retail meal orders, fulfillment centers, and product demand using Python
data-analysis data-visualization jupyter-notebook numpy pandas python
Last synced: 18 Apr 2026
https://github.com/aliyahscoding/tiny-recommender
Tiny item-item recommender in Python using cosine similarity over a toy user–item matrix. Simple CLI to print top-N recommendations.
collaborative-filtering cosine-similarity numpy pandas python recommender-system
Last synced: 09 May 2026
https://github.com/vansh-py04/data-analysis-questions-pandas-numpy-sql
Solution to 450+ Data Science Tech Stack questions essential for Data Analysts and Scientists!
data-analysis data-science deepnote machine-learning numpy pandas python sql
Last synced: 18 Apr 2026
https://github.com/pedroteixeiraw/variational_quantum_circuit_binary_classification
This project focuses on developing a Variational Quantum Circuit capable of performing Binary Classification between two classes: red wine and white wine, based on their characteristics using machine learning.
binary-classification cost-function json machine-learning matplotlib numpy pandas qiskit qiskit-machine-learning quantum-machine-learning scikit-learn training-data variational-circuit
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/ola-kaznowska/image-processing-
Image processing. Artificial neural network
ai artificial-intelligence machine-learning neural-network numpy python tensorflow
Last synced: 18 Apr 2026
https://github.com/yasinefeee/parkspotter_pretest_enviroment
The ParkSpotter project is designed to detect the occupancy status of parking spots in a simulation environment. Using a toy model, a camera system, and a machine learning model, this system identifies whether a parking space is EMPTY or NOT EMPTY in real-time.
ai-systems classifier computer-vision cv2 numpy opencv parking-spot-detection parking-spots python sckit-image sckit-learn simulation-environment svm svm-classifier
Last synced: 18 Apr 2026
https://github.com/jsnevt/regressao_linear
Regressão linear simples - Qual a velocidade se levou x distância para parar ?
linear-regression matplotlib numpy pandas python
Last synced: 18 Apr 2026
https://github.com/armanshadyan/bacteria-detection
Deep learning-powered tool for detecting and analyzing bacteria in microscope images. Designed for microbiology research, it identifies bacteria, counts them, and calculates coverage area with high precision. Supports real-time video processing, single-image analysis, batch processing, and model training.
mediapipe numpy object-detection opencv python pytorch
Last synced: 05 Apr 2026
https://github.com/ricardorobledo/next_level_data_science
matplotlib numpy pandas python3 scikit-learn
Last synced: 05 Apr 2026
https://github.com/murugavl/flower-prediction
Flower Prediction is a machine learning project that uses the Iris dataset to classify iris flowers into three species: Setosa, Versicolor, and Virginica. The project includes data analysis, model training with various algorithms, and deployment via a Flask web application for user-friendly predictions.
flask machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 05 Apr 2026
https://github.com/jeet1995/brain-corp-robot-scan-filter
argparse numpy python shell-script unittest
Last synced: 18 Apr 2026
https://github.com/ayushmaan-xd/exploratory-spotify-data-analysis
Exploratory Spotify Data Analysis is a project where I analyzed Spotify’s music dataset to uncover trends in audio features and song popularity. Using Python and data visualization tools
jupyter-notebook matplotlib numpy pandas python seaborn spotify-dataset
Last synced: 18 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/chmohit91/Introduction-to-Python
A comprehensive collection of Python programming resources, from basics to advanced concepts. Built for learners, by learners
matplotlib numpy pandas plotly python python-library python3 seaborn
Last synced: 21 Jul 2025