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/islamshahil/machinelearning
A Fun Project - Using LinearRegression, Predicting the Value.
hacktoberfest linearregression machine-learning numpy pandas python sklearn
Last synced: 11 Apr 2026
https://github.com/msmrexe/numpy-neural-network
A scratch-built NumPy implementation of a Fully Connected Neural Network, with a sequential model API, a variety of layers (Linear, ReLU, BatchNorm), loss functions (MSE, SoftmaxCrossEntropy), and a robust training `Solver` to create and train multi-layer perceptrons for both classification and regression.
backpropagation batch-normalization course-project deep-learning fully-connected-neural-network neural-networks nn-from-scratch numpy python university-project
Last synced: 18 May 2026
https://github.com/wangwilly/osu-cse-5526
Some implementation of neural networks
bash linear-programming linear-regression neural-networks non-linear-optimization numpy poetry-python python rbf rbf-network svm
Last synced: 09 May 2026
https://github.com/f1scher7/risk-master
RiskMaster is an intelligent platform for individual investors to assess cryptocurrency market risks. It combines historical trend analysis and predictive neural networks - LSTM
custom-implementation dense lstm-neural-networks numpy python streamlit-webapp
Last synced: 18 May 2026
https://github.com/vinicius999/eda-basketball-streamlit
Simple web application for viewing, filtering and analyzing Basketball data using Stremlit.
numpy pandas python streamlit webapp webscraping
Last synced: 07 Apr 2026
https://github.com/vibhuti03/movie-recommendation-system
anaconda3 jupyter jupyter-notebook matplotlib ml numpy pandas python python-3-7-2
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https://github.com/vartikaraj2512/animalclassification
๐พ Animal Classification: Classify 28K animal images into 10 categories using CNNs with Transfer Learning. ๐ฅ Load & extract data, ๐ preprocess images, ๐ง train models (VGG-16 & ResNet50), and ๐ plot performance. Libraries: OpenCV (BGR), TQDM (progress bars), Categorical (one-hot encoding). ๐ ๏ธ Install: pip install tensorflow numpy opencv-python
classification cnn kaggle machine-learning numpy opencv pandas tensorflow
Last synced: 20 Jan 2026
https://github.com/oleksiilatypov/face_app_edit
DRU style gan project
cnn gan matplotlib-pyplot numpy pytorch-tutorial
Last synced: 19 May 2026
https://github.com/javierkaiser9/rgbd-dual_input_machine_learning_model
This Demo presents a machine learning-based steering module for sidewalk navigation . Using a dual-input EfficientNetV2 model, it processes RGB-D data from an Intel RealSense D415 to classify sidewalk scenarios and generate real-time steering commands. Optimized with OpenVINO
efficientnet efficientnetv2 machine-learning numpy opencv openvino python3 realsense-camera tensorflow
Last synced: 31 Dec 2025
https://github.com/ashkarin/ndpatch
Package to extract arbitrary regions from an N-dimensional numpy array assuming it mirrored infinitely.
array data-structures deep-neural-networks image-processing numpy patches region-of-interest
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https://github.com/raghul-m/data-analysis-with-jupyternotebook-python
This repository consists of notebooks where I learned the basics of getting started with data analysis using Python libraries
beautifulsoup4 data-analysis-python eda jupyter-notebook matplotlib-python numpy pandas-python regular-expression seaborn-python webscraping
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https://github.com/algab/recommedation-content-based
Application of film recommendations from the IMDB database, using as a strategy the content-based recommendation
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https://github.com/adolbyb/data-science-python
An Introduction to Data Science and Data Visualization with the FAU Data Science and Machine Learning Club
data-analysis data-science data-visualization jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/sirinemaaroufi/arabic-sentiment-analysis
This project focuses on developing a sentiment analysis model for Arabic text, leveraging hybrid transformer-based models (AraBERT) and LSTM approaches.
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https://github.com/amritakaur-08/smart_attendance_system
The Smart Attendance System is designed to automate the attendance process using facial recognition. Traditional methods of taking attendance can be time-consuming and prone to errors. This project aims to streamline the process by leveraging computer vision technology, allowing for efficient, contactless, and accurate attendance tracking.
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https://github.com/apoorva-info/cognitive-load-using-blink-rates
Analyzing blink rates and task performance to measure cognitive load during digital span tasks using a custom Python tool.
matplotlib numpy pandas python
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https://github.com/carlolepelaars/skq
Scientific Toolkit for Quantum Computing
numpy python quantum quantum-computing quantum-machine-learning
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https://github.com/huangcongqing/python-libraries
pythonๅบ(numpy,pandas...)ๅญฆไน
matplotlib numpy pandas python3 xgboost
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https://github.com/williyam-m/movie-recommendation-system
Developed a web app with a cosine similarity machine learning model for personalized recommendations based on user history, likes, bookmarks, and activity. Implemented user auth and CRUD operations for movies.
django machine-learning numpy pandas prediction-model python scikit-learn
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https://github.com/simran1002/strip-analyzer
The Strip Color Identification is used to analyze images of urine strips uploaded by users. Using computer vision techniques, particularly leveraging OpenCV, the interface identifies and extracts the colors present on the strip.
flask multer nodejs numpy opencv python reactjs
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https://github.com/yashika-malhotra/micromobility-service-provider---hypothesis-testing
Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts
colab-notebook data-visualization eda exploratory-data-analysis hypothesis-testing jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-library scipy-stats seaborn skit-learn
Last synced: 12 Apr 2026
https://github.com/salmandeveloperz/ml_house_prediction
project for house price prediction using Classification & Regression models. Includes Docker setup for easy deployment.
classification-model clustering deep-learning machine-learning matplotlib numpy pandas python3 regression-models scikit-learn
Last synced: 10 Apr 2026
https://github.com/camilajaviera91/prediction-of-housing-prices-using-linear-regression
This project provides tools to search for datasets on Kaggle, download and preprocess them, and perform predictions using a Linear Regression model. It includes interactive text-based user interfaces built with `curses`.
curses kaggle linear-regression matplotlib-pyplot mean-absolute-error mean-square-error numpy pandas pathlib python scikit-learn train-test-split
Last synced: 10 Apr 2026
https://github.com/dmarks84/coursework_coursework_project_automobile-sales-visualization
Project for IBM Data Science course on Visualization & Dashboards -- Analyzed historical sales data, performing EDA and setting up an interactive dashboard
communication dash dashboards data-modeling elt etl folium matplotlib numpy pandas pipelines plotly python scipy seaborn visualization
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https://github.com/datarohit/fifa-2020--data-analysis
This is dataset is from Kaggle.com which contains data of 18000+ fifa players with more than 100 features about them for analysis. Simple analysis performed on this Dataset.
exploratory-data-analysis exploratory-data-visualizations matplotlib-pyplot numpy pandas seaborn
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https://github.com/g-eoj/cv-tl-keras
Use the cross validation functions from scikit-learn to evaluate image classification transfer learning with Keras models.
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https://github.com/datarohit/titanic-survival-data--classification
This is a Titanic Survival Data from Kaggle Competition with Multiple Classification Algorithm testing and Detailed Exploratory Data Analysis.
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https://github.com/bhavyemathur/redstone-ml
High-performance Machine Learning, Dynamic Auto-Differentiation and Tensor Algebra crate for Rust
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https://github.com/justsecret123/one-piece-characters-detector
An object detector trained with a Kaggle GPU, using Tensorflow and a fine-tuned ssd resnet50.
artificial-intelligence computer-vision convolutional-neural-networks deep-learning deep-neural-networks docker fine-tuning jupyter kaggle kaggle-dataset matplotlib numpy object-detection python single-shot-detector tensorflow tensorflow-object-detection tensorflow-serving transfer-learning
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https://github.com/jesussantana/ibm-skills-courses
IBM Data Science, Machine Learning & Deep Learning Courses to Increase your Skills Development
analysis classification clustering data-mining data-science deep-learning folium machine-learning matplotlib npl numpy pandas python3 regression-models seaborn sklearn supervised-learning unsupervised-learning visualization web-scraping
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https://github.com/afif-af/python-code
Basic python practice code,
computer-vision deep-learning keras machine-learning matplotlib natural-language-processing nlp nltk numpy pandas python pytorch scikit-learn tensorflow
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https://github.com/sizzlins/kalkulator-ai
A Simple Command Line Input Symbolic Regression Engine and Computer Algebra System (CAS) capable of discovering the laws of the universe, solving calculus, algebra, and trigonometrics.
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https://github.com/shanmukhsrisaivedullapalli/automatic-ticket-classification
This project processes customer complaint data using pandas for data manipulation and applies text preprocessing techniques, including lemmatization, to clean and normalize complaint text. The `tqdm` library provides progress bars for efficient tracking of text processing tasks.
matplotlib neural-networks nlp numpy pandas python3 scikit-learn seaborn tensorflow tqdm wordcloud
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https://github.com/tasninanika/k-means-clustering
An interactive and insightful customer segmentation project using K-Means Clustering.
matplotlib numpy pandas plotly python3 scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/suraj-sedai/lstm-deep-learning
A step-by-step guide to mastering sequence prediction using TensorFlow and LSTM. This repository covers everything from basic linear predictions to advanced multi-step forecasting, many-to-many LSTM models, and real-world applications like stock price forecasting and sales prediction.
lstm-neural-networks lstm-sentiment-analysis numpy pandas python sklearn tensorflow
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https://github.com/sushmitha-93/cmpe275---machine-learning-assigments-and-labs
Machine Learning Course Topic wise Assignments and Projects
artficial-neural-network classification-algorithm clustering-algorithm convolutional-neural-networks machine-learning natural-language-processing numpy pandas plotly python regression-algorithms regularization-methods sentiment-analysis sklearn tensorflow time-series-analysis
Last synced: 11 Apr 2026
https://github.com/rahulvictor12/the-movie-database-data-scrapper
A Python web scraper that collects movie data from The Movie Database (TMDB). It uses `requests`, `BeautifulSoup`, and `pandas` to extract titles, ratings, genres, and cast details from multiple pages. The data is structured into DataFrames and saved as a CSV, perfect for analysis or integration into projects.
beautifulsoup colab-notebook dataframes numpy pandas python requests testing webscraping
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https://github.com/jayanthsd2003/ams-attendance_management_system
Project based on AMS-Attendance Management System
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Last synced: 11 Apr 2026
https://github.com/codeasarjun/_easy_machine_learning
This repo contains a comprehensive tutorial on machine learning with practical implementations and examples using Python.
artificial-intelligence clustering deep-learning jupyter-notebook machine-learning machine-learning-algorithms modelevaluation neural-network numpy pandas preprocessing python python3 regression scipy supervised-learning supervised-machine-learning unsupervised-learning unsupervised-machine-learning
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https://github.com/elazzouzihassan/si-fraud-detection-prototype
Systรจme de Dรฉtection des Fraudes avec Python (Prototype).
googlecolab matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/rkarahul/machinelearning
This is for my all machine learning code
analysis computer-vision matplotlib mysql nlp numpy pandas python
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https://github.com/socrats/tscluster
Clustering time-series
clustering cython numpy python series time-series
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https://github.com/gaurangdave/house_price_predictions
Machine Learning Application to predict House Prices
hands-on learning-by-doing machine-learning numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/babak2/synthea-data-analysis
Synthea Data Analysis
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https://github.com/awrsha/principal-component-analysis
Dimension reduction in Python
image-processing matplotlib numpy pillow python
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https://github.com/listiangr/play_tennis_classification
This project analyzes weather data to predict whether a person will play tennis or not. The main goal is to make accurate predictions based on factors such as weather, temperature, humidity, and wind.
classification flask html-css jupyter-notebook kaggle-dataset naive-bayes numpy pandas pickle play-tennis python sklearn
Last synced: 11 Apr 2026
https://github.com/harmanveer2546/movie-industry
Investigate the film industry to gain sufficient understanding of what attributes to success and in turn utilize this analysis to create actionable recommendations for companies to enter the industry.
business business-analytics dataanalysis datetime matplotlib numpy pandas python seaborn
Last synced: 11 Apr 2026
https://github.com/beliavsky/array-compiler
Translate Python/NumPy and other array languages to Fortran
array-programming fortran linear-algebra modern-fortran numpy python scientific-computing transpiler
Last synced: 27 May 2026
https://github.com/rusiruchapana/blood-group-prediction
Creating a machine learning project to predict blood groups from fingerprint patterns
asp-net-web-api keras matplotlib numpy opencv-python pandas pillow scikit-learn tensorflow
Last synced: 11 Apr 2026
https://github.com/serhatderya/fall_detection
This project implements a computer vision-based fall detection system using deep learning techniques. The system can detect whether a person has fallen in images or video frames.
ai artificial-intelligence artificial-neural-networks computer-vision deep-learning deep-neural-networks deeplearning falldetection matplo neural-network numpy opencv pil pillow pytorch tensorflow yolo yolov5 yolov8
Last synced: 11 Apr 2026
https://github.com/pradipece/two_dimensional_data_visualization
This repository for different kinds of Data science and Machine learning project
data-science data-visualization jupyter-notebook machine-learning matplotlib numpy pandas python seaborn sklearn statistics
Last synced: 11 Apr 2026
https://github.com/techassi/hfu-imgcomp
Image processing and computer graphics SOSE 22
computer-vision image-processing numpy opencv python
Last synced: 11 Apr 2026
https://github.com/vidhi1290/zomato-data-analysis
Zomato Data Analysis - Explore the world of Zomato restaurant data through Python and data analysis. Uncover trends and insights using Pandas for data manipulation and Matplotlib for visualization. Join us in this journey to reveal the hidden stories within the data!
data-analysis data-analysis-python data-science data-visualization dataprocessing machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn zomato-data-analysis
Last synced: 11 Apr 2026
https://github.com/adityashinde716/liam-the-healthcare-chatbot
Made a healthcare chatbot Liam which will help you to detect your health problem and gives precautions.
csv numpy pandas python python3 random random-forest random-forest-classifier requests sklearn sklearn-library sklearn-model
Last synced: 05 May 2026
https://github.com/zazi2002/neuroscience-project-lfp-signalanalysis
This project is part of the Neuroscience of Learning, Memory, Cognition course. The goal of this assignment is to introduce students to Local Field Potential (LFP) signals, which are critical for understanding brain activity at a local neuronal level.
jupiter-notebook lfp-analysis matplotlib numpy signal-processing
Last synced: 01 May 2026
https://github.com/mathpfreitas/top-hits-spotify-2000-to-2019-
# ๐ง Top Hits Spotify (2000 - 2019)Explore music trends from 2000 to 2019 with this dataset of songs, artists, and genres. Use the insights to understand what makes a hit in today's music landscape. ๐๐ป
analysis analytics chart data-analysis data-visualization exploratory-data-analysis hits interactivedashboards jupyter-notebook matplotlib music musical numpy pandas plotly python timeseries track-hits
Last synced: 01 Jul 2025
https://github.com/aarryasutar/linear_multivariate_regression_on_football_statistics
Linear regression models are used to predict football player attacking stats based on attributes like finishing and passing, with the model trained, evaluated, and applied for predictions. Multiple features improve accuracy, and performance is assessed using metrics like MSE and R-squared.
datasets feature-selection football-stats linear-reg machine-learning mae mse multivariate-regression numpy pandas rmse scatter-plot train-test-split
Last synced: 14 Apr 2026
https://github.com/camilajaviera91/apache-beam-pipeline-first-approach
This code demonstrates how to integrate Apache Beam with scikit-learn datasets and perform simple data transformations. It loads the Linnerud dataset from scikit-learn, converts it into a Pandas DataFrame for easier manipulation.
apache-beam dataframes glob kmeans-clustering matplotlib-pyplot mean-absolute-error mean-square-error numpy os pandas pipelines scipy-stats seaborn silhouette-score sklearn sklearn-datasets standardscaler
Last synced: 28 Apr 2026
https://github.com/virajbhutada/google-stock-price-forecasting-lstm
Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.
data-analysis data-science data-visualization future-prediction google-dataset google-stock-price-prediction google-stocks lstm-model lstm-neural-network machine-learning machine-learning-models matplotlib model-building model-training numpy python stock-forecasting
Last synced: 27 Feb 2025
https://github.com/epsoft/traffic
traffic
cv2 numpy os sklearn sys tensorflow traffic
Last synced: 11 Apr 2026
https://github.com/westurner/pypfi
A Python package for personal finance
arrow bootstrap3 csv factoryboy jquery jquery-tocify numpy pandas personal-finance pivot-tables python
Last synced: 11 Apr 2026
https://github.com/3rd-son/knn-breast-cancer-prediction-model-
A breast cancer prediction model using KNN with an accuracy of 96%
jupyter-notebook knn-classifier matplotlib numpy pandas python scikit-learn scipy search
Last synced: 11 Apr 2026
https://github.com/achuth-0908/hemoguard-anemia-predictor
A Web App incorporated with a Gradient Boosting Classifier Model, to predict Anemia with given data.
css flask html matplotlib numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/nemeslaszlo/financial-crisis-effects-on-some-stocks
Focusing on bank stocks to see how they progressed throughout the 2008-09 financial crisis all the way to early 2016.
cufflinks jupyter-notebook matplotlib numpy pandas pandas-datareader plotly seaborn
Last synced: 03 May 2026
https://github.com/gauravsakure02/pubg_win_prediction
Predicting PUBG game wins using a dataset involves analyzing various in-game features such as player kills, distance traveled, and weapons acquired to build a model that forecasts the likelihood of winning a match based on player performance, helping in winning game
matplotlib numpy pandas sklearn
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https://github.com/ladityagogoi/shadowguard
The ShadowGuard Browser Extension is a powerful tool designed to enhance user experience by identifying and highlighting potential dark patterns on websites. Our extension employs a combination of machine learning algorithms and natural language processing (NLP) models to detect and classify various deceptive design practices
css flask html javascript joblib numpy pandas python scikit-learn
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https://github.com/prakashjha1/stock-trend-prediction
Deep learning for predicting stock market prices and trends has become even more popular than before. I have used yahoo finance to collect the data and LSTM to build the stock trend model.
deep-learning keras lstm lstm-neural-networks machine-learning numpy pandas pandas-datareader prediction python rnn tensorflow
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https://github.com/pacatro/lse2text
Deep learning program that translates Spanish Sign Language (LSE) to text in real time.
ai cnn computer-vision deep-learning lse matplotlib numpy pandas python pytorch pytorch-lightning scikit-learn torchmetrics translation
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https://github.com/bhattbhavesh91/tf-numpy-example
Faster NumPy using Tensorflow's tf.experimental.numpy module
Last synced: 01 May 2026
https://github.com/m-faizan-mahmood/detailed-exploratory-data-analysis-eda-marketing-recomendations.
This project focuses on cleaning, preprocessing, and analyzing data using Pandas and NumPy. Key steps include handling missing values, removing outliers, feature engineering, and exploratory data analysis (EDA). Visualizations with Matplotlib and Seaborn highlight trends in customer spending, campaign performance, and product sales.
big-data data-analysis data-processing data-science eda exploratory-data-analysis numpy pandas python
Last synced: 11 Apr 2026
https://github.com/tom-mohr/clevertable
Consistent, intelligent transformation of text-based tabular data into numerical data.
conversion data-science numpy pandas python
Last synced: 06 May 2026
https://github.com/aditya-ranjan1234/1stsem-el-dataset-analysis
Netflix Dataset Analysis
beginner matplotlib numpy pandas python
Last synced: 18 Apr 2026
https://github.com/jinkogule/multi-analyst
O Multi Analyst รฉ uma ferramenta de anรกlise de dados com uma usabilidade simples, que utiliza inteligรชncia artificial para interpretar os resultados das anรกlises realizadas, retornando insights รบteis aos usuรกrios.
apriori-algorithm bootstrap css data-analysis django html numpy open-ai pandas python web-application
Last synced: 12 Apr 2026
https://github.com/asanka-j/machine_learning_exercises
Machine learning Self study Python & R
matplotlib numpy pandas python r sklearn
Last synced: 12 Apr 2026
https://github.com/nirmalvatsyayan/data-analyst-nanodegree
Udacity data analyst nanodegree project submissions and learning
data-analysis numpy pandas python statistics udacity-data-analyst-nanodegree
Last synced: 12 Apr 2026
https://github.com/rkarahul/vehicle-number-plate-detection-and-ocr-reading-using-opencv-and-paddleocr
complated Vehicle Number Plate Detection and OCR Reading Using OpenCV and PaddleOCR
numpy opencv paddleocr paddlepaddle pandas python
Last synced: 12 Apr 2026
https://github.com/balaji24092001/python
All python related content: notes, problems, progress archive.
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Last synced: 12 Apr 2026
https://github.com/paulo-santos-ds/dados-telefonia
Este projeto tem como objetivo desenvolver um modelo que possa analisar o comportamento do cliente e recomendar um dos planos mais recentes de uma companhia telefรดnica fictรญcia.
matplotlib numpy pandas python3 sklearn
Last synced: 12 Apr 2026
https://github.com/animesh-ghosh/summer-training
Work done during Summer Training with OSAHub.
anaconda jupyter-notebook machine-learning numpy pandas python3 scikit-learn
Last synced: 12 Apr 2026
https://github.com/aymen016/data-visualization
A collection of data analysis projects using Python, covering various datasets and domains. Includes EDA, preprocessing, data visualization (Matplotlib/Seaborn), and Power BI dashboards.
dashboard eda jupyter-notebook matplotlib-pyplot matplotlib-python numpy pandas pandas-dataframe powerbi python seaborn seaborn-python visualization
Last synced: 15 Jun 2026
https://github.com/dhruvv1402/ai-based-realtime-hand-detection-using-opencv-and-mediapipe
A real-time AI system for detecting and tracking hands using Python, OpenCV, and Mediapipe. This project demonstrates how to identify hand landmarks and extract gesture data for further applications like gesture control, sign language interpretation, and more.
mediapipe numpy opencv os python python3 time
Last synced: 12 Apr 2026
https://github.com/nikita-data/eda_projects
Exploratory data analysis projects
cac data-analysis data-visualization eda folium-maps hypothesis-testing ltv math matplotlib numpy plotly python regular roi scipy seaborn segmentation statistics unit-economics
Last synced: 06 Jan 2026
https://github.com/moinak-majumdar/fake-currency-detection
Indian fake currency detecting mobile application.
cnn deep-learning flutter getx keras machine-learning mobile-app neural-network numpy random-forest scikit-learn support-vector-machines tensorflow
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https://github.com/ayuhamaro/py_weight_estimation
้ซ้่ฎๅ้ ไผฐ
matplotlib numpy pandas python3 scikit-learn scipy
Last synced: 12 Apr 2026
https://github.com/lasithaamarasinghe/movie-recommender-system
This ML model recommends movies that may align with the user's preferences based on TF-IDF matrix.
jupyter-notebook machine-learning movie-recommendation movielens-dataset numpy pandas python regex scikit-learn tf-idf-vectorizer
Last synced: 12 Apr 2026
https://github.com/aahnik/gdsc-ml-ds-bootcamp-2023
This repo contains files given by my seniors as well as assignments and final project done by me during the bootcamp.
data-science machine-learning ml numpy pandas python3 scikit-learn
Last synced: 28 Oct 2025
https://github.com/hansalemaos/cythonfastsort
C++ parallel sorting algorithms through Cython - up to 8 times faster than NumPy
c cpp cython numpy parallel-computing parallel-programming python sorting
Last synced: 04 Feb 2026
https://github.com/kr1shnasomani/sentimentscope
Sentiment analysis on movie review using TensorFlow and GloVe embeddings
deep-learning keras matplotlib natural-language-processing neural-networks numpy pandas scikit-learn tensorflow
Last synced: 12 Apr 2026
https://github.com/rayyan9477/machine-learning-driven-backorder-prediction-system
Experience a state-of-the-art Django web application designed to predict product backorders with exceptional accuracy. This platform leverages advanced machine learning techniques, incorporating pre-trained Random Forest Classifier, Decision Tree, and LGBM models.
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Last synced: 12 Apr 2026
https://github.com/csoren66/credit-card-fraud-detection
Credit card fraud detection through logistic regression.
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Last synced: 03 Mar 2025
https://github.com/hansalemaos/cythonnestednumpy
performs sorting and grouping operations on multidimensional NumPy arrays using Cython and hash-based algorithms.
Last synced: 07 Jan 2026
https://github.com/antonio-f/building_a_recurrent_neural_network_step_by_step
Building a Recurrent Neural Network Step by Step
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Last synced: 30 Mar 2025
https://github.com/anish202020/real-time-emotion-face-detection
The primary purpose of this website is to detect emotions in real-time using facial expressions captured via a camera.
fer keras numpy opencv python streamlit tensorflow
Last synced: 12 Apr 2026
https://github.com/mezgoodle/bounder
bound-points cluster-analysis clustering numpy pyqt5 python
Last synced: 12 Jun 2025
https://github.com/hamdaniqhmqd/sistem-cerdas
I use this repository for my storage, especially in the intelligent systems course in semester 3
matplotlib numpy pandas python streamlit
Last synced: 20 Apr 2026
https://github.com/ngirimana/ml_knn
Welcome to the KNN Project! This will be a simple project very similar to the lecture, except you'll be given another data set. Go ahead and just follow the directions below.
artificial-intelligence knn-algorithm knn-classification knn-classifier machine-learning matplotlib numpy pandas python3 searbon
Last synced: 12 Apr 2026
https://github.com/bunu23/image-classification-resnet50-streamlit
This project demonstrates an image classification system using ResNet50, fine-tuned on a custom dataset. It includes a Streamlit application for user interaction, allowing image uploads and classification results. It integrates Google's generative AI models for enhanced analysis.
cnn deep-learning generative-ai keras matplotlib numpy pillow python resnet-50 streamlit tensorflow
Last synced: 07 Apr 2026