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/kishore-sr/creditworthy
AI-powered web app built at "Codeathon 2024" IIIT Bangalore
clerk-auth node-js numpy pandas python reactjs streamlit
Last synced: 11 Apr 2026
https://github.com/epsoft/nlp
NLP
farsi gru nlp numpy pandas persian tensorflow training word-indexer
Last synced: 15 Apr 2026
https://github.com/epsoft/text-generation-stopword
text generation stopword
datasets generation nltk nltk-library nltk-python numpy re stopword text wordnet wordnet-library
Last synced: 15 May 2026
https://github.com/nikhilroxtomar/introduction-to-numpy
A list of jupyter notebook explaining the various functions and properties of Numpy.
Last synced: 21 Apr 2026
https://github.com/akashash01/akash_linear-regression
This is an linear approach machine learning model used to predict the values of variable(dependent) based on other variables(independent).
anova-test autocorrelation data-science heteroscedasticity linear-regression machine-learning mape multicollinearity numpy pandas python supervised-learning
Last synced: 07 May 2026
https://github.com/hossein-cod/plate-recognition
car Plate recognition with cv2
cv2 jupyter-notebook numpy opencv python
Last synced: 15 Apr 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/nikhilroxtomar/fully-connected-neural-network-in-numpy
This is an efficient implementation of a fully connected neural network in NumPy.
dnn neural-network numpy python3
Last synced: 22 Apr 2026
https://github.com/mgobeaalcoba/survival_predictor_on_the_titanic_scikit_learn
Titanic Survival Predictor using Scikit-Learn: Machine learning model and analysis to predict passenger survival on the Titanic based on historical data.
matplotlib numpy pandas python3 scikit-learn seaborn titanic-dataset titanic-kaggle titanic-survival-prediction
Last synced: 10 Apr 2026
https://github.com/sitamgithub-msit/maldetect
A Deep Learning application for Malaria Detection
comet-ml containers deep-learning docker efficientnetb0 experiment-tracking flask-api google-cloud-build google-cloud-platform google-cloud-run html-css-javascript keras-cv keras3 matplotlib numpy pytest python serverless tensorflow tensorflow-datasets
Last synced: 23 Mar 2025
https://github.com/maheera421/road-lane-detection
Autonomous vehicle Road Lane Detection system using Digital Image Processing techniques.
canny-edge-detection cv2 gaussian-filter glob grayscale-images hough-transformation matplotlib-images matplotlib-pyplot numpy os pil rgb2hsl rgb2hsv tkinter videofileclip webbrowser
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https://github.com/gregoritsch3/ml_eda_classification_loanapprovalprediction
An EDA and Machine Learning Classification exercise on the Loan Approval dataset demonstrating EDA, feature engineering, StratifiedKFold and the use of Tensorflow NN, SVC, LinearSVC, XGBoost, Naive-Bayes, Bagging, Random Forest and Decision Tree algorithms.etc. The modela are optimized using hyperparameter tuning through GridSearchCV.
eda feature-engineering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn tensorflow
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https://github.com/cyberoctane29/unicorn-companies-analysis
This project explores unicorn companies, private startups valued at over $1 billion, using Python for data analysis. It covers industry trends, geographic distribution, and investment patterns through EDA, including data cleaning, handling missing values, datetime transformations, and visualizations to uncover key insights.
data-analysis eda numpy pandas python
Last synced: 02 May 2026
https://github.com/amorehead/ml-fundamentals
A self-educational series of Python scripts made to explore the vast library of machine learning knowledge.
machine-learning numpy pandas python scipy sentdex tensorflow tflearn
Last synced: 13 Apr 2026
https://github.com/vustron/car_price_predictor_backend
The backend server for the machine-learning model for prediction of car price
flask flask-api flask-backend flask-restful machine-learning numpy pandas python rest-api
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https://github.com/antonio-f/building_a_recurrent_neural_network_step_by_step
Building a Recurrent Neural Network Step by Step
coursera deep-learning long-short-term-memory lstm numpy recurrent-neural-networks rnn step-by-step tutorial
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https://github.com/redinfinitypro/laser-strategy
Rating: (8/10): Is an interactive graphical simulation using Pygame library, featuring laser and detector dynamics. It includes pathfinding, collision detection, and dynamic object interactions. The game allows dragging, checking for collisions, and updating object states.
math numpy pygame random sys time
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https://github.com/anidipta/risk-sense
Risk Sense : Next-Gen Fraud Predictor
convolutional-neural-networks machine-learning machine-learning-algorithms numpy python streamlit
Last synced: 30 Jan 2026
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
Last synced: 11 Apr 2026
https://github.com/khaymanii/heart-disease-prediction-model
This repository contains a model built using python and Logistic Regression algorithm
matplotlib numpy pandas python sckit-learn
Last synced: 18 Apr 2026
https://github.com/geson-anko/numpy_ndarray_msgs
A ROS2 package for transmitting NumPy ndarrays between ROS2 nodes.
Last synced: 23 Feb 2026
https://github.com/amir78729/numpy-system-solution-detector
Linear Algebra course - First Project
echelon-form linear-algebra matrix numpy
Last synced: 26 Apr 2026
https://github.com/assamirzafar/learning
My Roadmaps and challenges are in this repo...I will add my colab and kaggle notebook links along with py script files in here.
calculus convolutional-neural-networks deep-learning deep-neural-networks keras linear-algebra machine-learning numpy opencv probability python3 pytorch scikit-learn scipy statistics
Last synced: 05 Apr 2026
https://github.com/Shriram-Vibhute/RealEstateForecast-Price-Prediction-System
This project aims to predict Prices of House. It involves several key stages, including data preprocessing, feature engineering, model selection, and evaluation. The goal is to develop a model that provides accurate and reliable price predictions based on the given features.
exploratory-data-analysis feature-engineering feature-transformation hyperparameter-tuning machine-learning matplotlib numpy pandas python random-forest sklearn
Last synced: 02 Apr 2025
https://github.com/nguyenanhtuan1912/computer_vision_exercises
Trong này sẽ chứa các file source về bài tập Computer Vision.
computer-vision numpy opencv python
Last synced: 12 Apr 2026
https://github.com/rish-16/linearly
Discount NumPu implementation using barebones Linear Algebra concepts
Last synced: 19 May 2026
https://github.com/nirmalnishant645/attendance-system
Automated Attendance System using Facial Recognition in Python
attendance-system cv cv2 face-recognition facial-recognition haar-cascade haar-cascade-classifier machine-learning numpy opencv opencv-python pandas python python-3 python3 sql sqlite sqlite3 tkinter tkinter-gui
Last synced: 15 Apr 2026
https://github.com/prakharrr/skewangledetection
A function that returns correction angle of a skewed quadrilateral inside an image.
image-processing numpy python3
Last synced: 27 Apr 2026
https://github.com/gandhasiri-rahul-mohan/association-rules-q1-books
Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots
apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-machine-learning
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https://github.com/otuemre/simplenet
A simple neural network framework built from scratch using Python and NumPy. Designed as a learning tool, SimpleNET includes essential layers, activation functions, and loss functions, enabling users to build and train basic neural networks from the ground up.
backpropagation deep-learning from-scratch machine-learning neural-network numpy python
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https://github.com/mathpfreitas/top-hits-spotify-2000-to-2019-
# 🎧 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. 🐙💻
analysis analytics chart data-analysis data-visualization exploratory-data-analysis hits interactivedashboards jupyter-notebook matplotlib music musical numpy pandas plotly python timeseries track-hits
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https://github.com/aarryasutar/pipe_leak_estimation_predictor_model
The project builds a Bayesian Network using pressure sensor data to detect pipe leaks, employing probabilistic reasoning to determine the likelihood of leaks based on sensor readings. It involves loading dataset, defining network structure, calculating CPDs, adding them to model, and using Variable Elimination algorithm for inference
bayesian-networks cpd csv dag data-frames inference model-verification numpy pandas pgmpy pressure-sensors probabilistic-graphical-models probability python variable-elimination-algorithm
Last synced: 15 Apr 2026
https://github.com/nemeslaszlo/heart-disease
Heart disease classification project with different models (LogisticRegression, KNeighboursClassifier, RandomForestClassifier) and detailed reports.
classification knearest-neighbor-classifier logistic-regression mathplotlib numpy pandas randomforest-classification scikit-learn seaborn
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https://github.com/nishkarsh25/end_to_end_real_estate_price_prediction_project
This data science project series walks through step by step process of how to build a real estate price prediction website. We will first build a model using sklearn and linear regression using banglore home prices dataset from kaggle.com. Second step would be to write a python flask server that uses the saved model to serve http requests....
css html javascript jupyter-notebook matplotlib numpy pandas python python-flask-server sklearn
Last synced: 07 Apr 2026
https://github.com/jeelmakani/wind-energy-forecasting
Wind energy Forecasting using Time series forecasting
forecasting machine-learning numpy pandas python3 seaborn tensorflow time-series time-series-analysis
Last synced: 05 Apr 2026
https://github.com/hamdaniqhmqd/test-deploy-streamlit
dateset machine-learning matplotlib numpy pandas python sklearn-library stremlit
Last synced: 10 Apr 2026
https://github.com/otivedani/hedge_hog
Histogram of Oriented Gradients, full numpy
feature-extraction histogram-of-oriented-gradients hog-features numpy
Last synced: 13 Apr 2026
https://github.com/codehass/facial-emotional-detection
Implement a complete AI pipeline in Computer Vision, from face detection to emotion classification using CNNs (TensorFlow/Keras) and Haar Cascades (OpenCV), and integrate this model into a FastAPI API connected to a PostgreSQL database.
cnn-model fastapi keras mathplotlib numpy opencv postgresql pydantic pytest sqlalchemy tensorflow
Last synced: 12 Apr 2026
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
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https://github.com/akash-rajak/image-resizer
Python Script to resize image to any dimension.
cv2 gui image-resizer numpy os python3 random resizeimage tkinter
Last synced: 27 Apr 2026
https://github.com/ujstor/streamlit-working-hours
The analysis pipeline involves combining the data forms, performing data cleaning, and starning streamlit server for statistical analysis.
data-pipeline numpy pandas statistics streamlit
Last synced: 06 May 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/chriszethird/image-recognition-without-neural-network
After working on a end year project for University, showcasing the better energetic efficiency of Neuromorphic comparing two programs, I've decided to improve my second algorithm. You'll find 3 files of codes : the main programm, the calculation of its accuracy and the test on the MNIST data-base.
numpy python recognizing-handwritten-digits
Last synced: 06 Feb 2026
https://github.com/kevinlacaille/hs1549-hs1700-s2-protoclusters
Code used to galaxy protocluster analysis for Lacaille, K. et al., 2019, MNRAS
aplpy astronomy astrophysics astropy galaxy-clusters maps number-counts numpy python stacking star-formation statistical-analysis
Last synced: 28 Apr 2026
https://github.com/pvlbzn/kot-or-not
Logistic regression (shallow neural network) which predicts whether input image is a cat or not.
classification-algorithm image-classification logistic-regression machine-learning neural-network numpy
Last synced: 01 Mar 2025
https://github.com/shanmukhsrisaivedullapalli/cifar10
This project uses TensorFlow to classify images from the CIFAR-10 dataset. It compares the performance of an Artificial Neural Network (ANN) and a Convolutional Neural Network (CNN), covering data preprocessing, model training, evaluation, and prediction on new images.
cifar10-classification cnn-classification matplotlib neural-networks numpy pickle pillow python3 tensorflow
Last synced: 03 Feb 2026
https://github.com/jabhij/eda_experiments
In this repo I'll use different types of datasets to explore and implement various Exploratory Data Analysis (EDA) approaches.
ames-housing analysis battery-life blackfriday-analysis data-analysis data-science data-visualization eda matplotlib-pyplot numpy pandas python seaborn visualization zomato-data-analysis
Last synced: 14 Apr 2026
https://github.com/mdaffailhami/data_science_speedrun_journey
This repository contains notebooks and projects related to my data science speedrun journey.
algebra artificial-intelligence data-analysis data-analyst data-science data-scientist jupyter-notebook machine-learning math mathematics numpy pandas postgresql probability python statistics
Last synced: 05 Apr 2026
https://github.com/lynk4/your-first-machine-learning-model-in-python
Create your first machine learning model in python...........
datavisualization linear-regression machine-learning machinelearning machinelearning-python machinelearningmodel matplotlib ml model numpy pandas python random-forest
Last synced: 05 Apr 2026
https://github.com/petitgrizzlies/metaheuristiques
Travaux pratiques de meta heuristique. Unige 2016-2017
cffi cpp golang heuristic-algorithm matplotlib numpy python35
Last synced: 13 Apr 2026
https://github.com/vineet416/airbnb_data_analysis
Ineuron.ai Internship Project
data-analysis exploratory-data-analysis matplotlib numpy pandas-python python seaborn statistical-analysis statistics
Last synced: 10 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/adalbertobrant/macd
Estudando sobre o uso do streamlit com geração de gráficos e dados da B3
bovespa box-plot golden-cross macd numpy python single-moving-average steamlit stocks
Last synced: 07 Feb 2026
https://github.com/jigyasag18/gold-price-prediction-project-using-machine-learning
This repository contains a machine learning project focused on predicting gold prices (GLD) using historical stock market data, including indicators such as SPX, USO, SLV, and EUR/USD. The project implements a Random Forest Regressor for accurate price forecasting, complete with data visualization, correlation analysis, and model evaluation metrics
data dataset jupyter-notebook jupyter-notebooks machine-learning machinelearing machinelearningalgorithms machinelearningmodel machinelearningprojects matplotlib mlproject numpy pandas randomforestregressor seaborn
Last synced: 23 Jul 2025
https://github.com/mnitin-reddy/anomaly-detection-in-server-networks
This project implements an anomaly detection algorithm to identify failing servers in a network. The model is trained on a dataset with throughput and latency features, estimating parameters for anomaly detection. The approach is extended to a high-dimensional dataset, showcasing its effectiveness in detecting outliers and anomalies
anamoly data-science machine-learning matplotlib numpy pyhton seaborn
Last synced: 19 Apr 2026
https://github.com/nirmalyabag20/crop-yield-prediction-using-machine-learning
This project uses machine learning to predict crop yields based on factors like region, crop type, rainfall, temperature, and pesticide use. By analyzing a dataset of over 28,000 records, the models provide accurate yield forecasts, helping optimize farming decisions and resource management, ultimately contributing to sustainable agriculture.
jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
Last synced: 06 Feb 2026
https://github.com/vineet416/eda-travel
EDA Travel data by PW Skills Data Analytics Course.
data-encoding data-preparation data-preprocessing data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas plotly python sklearn-library train-test-split train-test-using-sklearn
Last synced: 14 Apr 2026
https://github.com/ankushmallick1100/diabetes-prediction-of-females-using-maching-learning-techniques
This is a machine learning work that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here various machine learning algorithms like SVM, RF Classifier, DT Classifier, KNN, LR , LR with CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library.
classification cross-validation decision-tree-classifier diabetes diabetes-prediction jupyter jupyter-notebook logistic-regression machine-learning machine-learning-algorithms numpy pandas python random-forest random-forest-classifier regression streamlit support-vector-machine xgboost xgboost-classifier
Last synced: 04 Apr 2026
https://github.com/priyanka7411/customer-churn-prediction
Customer Churn Prediction using machine learning. This project covers the full data science lifecycle—data cleaning, exploratory analysis, feature engineering, model building, and extracting actionable business insights.
jupyter-notebook model numpy pandas python random-forest-classifier scikit-learn-matplotlib-seaborn
Last synced: 04 May 2026
https://github.com/amishmathur1/resumeats
✨ With Resume ATS Analyzer, users can improve their resume quality, boost ATS compatibility, and increase their chances of landing interviews — all with smart AI assistance.
express-python matplotlib-python nltk nltk-python numpy openai-api pandas plotly plotly-dash plotly-express pypdf2 python streamlit wordcloud
Last synced: 11 Apr 2026
https://github.com/shanmukhsrisaivedullapalli/smsspamclassification
SMSSpamClassification is a machine learning project aimed at accurately classifying SMS messages as either spam or ham (non-spam). It employs natural language processing techniques to extract relevant features from the text data and utilizes various classification algorithms to build a robust spam detection model.
jupyter-notebook numpy pandas pickle python3 sklearn spam-classification spam-detection
Last synced: 11 Apr 2026
https://github.com/abhihirekhan/abhi-s-data-science-portfolio
A list of data science projects completed by me for academic, self learning, and creative purposes
datascience ipynb-jupyter-notebook jupyter jupyter-kernels jupyter-notebook keras-tensorflow machine-learning numpy pandas portfolio python tensorflow
Last synced: 31 Jan 2026
https://github.com/gauravtrivedi967/mask_detection
In the present scenario due to Covid-19, there is no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. Also, the absence of large datasets of ‘with_mask’ images has made this task more cumbersome and challenging.
Last synced: 18 Apr 2026
https://github.com/imswappy/brain-tumor-detection
🧠 Deep learning project for brain tumor classification using MRI images. Built with transfer learning (VGG16 + fine-tuning), TensorFlow/Keras, and deployed via Streamlit. Dataset & model loaded dynamically from KaggleHub. Includes training notebook, evaluation, and interactive web app.
kagglehub keras numpy pandas scikit-learn streamlit tensorflow vgg16-model
Last synced: 13 Apr 2026
https://github.com/ibz-04/number-plate-recognition
Vehicle number plate recognition using computer vision and image processing
anpr computer-vision easyocr matplotlib-python numpy object-detection opencv
Last synced: 09 May 2026
https://github.com/kaushikrohida/leetcode-premium
mysql numpy pandas pandas-dataframe postgresql python3
Last synced: 05 Apr 2026
https://github.com/fatma-moanes/deep-learning-labs
My implementation for the labs of the Neural Networks and Deep Learning course that I studied at my university, Zewail City.
classification cnn data-science deep-learning gan keras matplotlib neural-network-architectures neural-networks numpy pandas preprocessing python regression-models regularization seaborn tensorflow time-series-analysis
Last synced: 14 Apr 2026
https://github.com/alisonmitchell/boston-housing
Investigation of the Boston housing dataset to evaluate, train and test a regression model to predict house prices.
data-science machine-learning matplotlib numpy pandas python scikit-learn scipy seaborn
Last synced: 10 Apr 2026
https://github.com/aminkhavari78/geoai-challenge-estimating-soil-parameters-from-hyperspectral-images-
Can you predict soil parameters from hyperspectral earth observation data?
dee keras matplotlib neural-network numpy pandas seaborn
Last synced: 13 Apr 2026
https://github.com/sarmadahmad8/digit-recognizer-91.4-accuracy
Digit Recognizer 91.4% accuracy
artificial-intelligence data-science digit-recognizer machine-learning neural-network numpy pandas python
Last synced: 05 May 2026
https://github.com/takkii/pylean
Data analysis ( 🐍 💎 📈 )
analayze matplotlib numpy pandas python scikit-learn
Last synced: 09 Sep 2025
https://github.com/quinta0/pycolors
A python program to help people with color blindness recognize color in an image
colorblindness colors image-processing numpy pandas-dataframe python tkinter-gui
Last synced: 05 May 2026
https://github.com/fsubject/rotating-cube
Rotating Cube is a 3D engine made from scratch
3d 3d-engine 3d-graphics from-scratch numpy pygame python
Last synced: 31 Jan 2026
https://github.com/grampers-dev/co2oracle
The CO2 Oracle project uses machine learning and AI to analyze and predict CO2 emissions for environmental management. Using a Kaggle dataset, it demonstrates predictive analytics to understand and forecast emissions. Written in Python, it employs libraries like Pandas, NumPy, and Scikit-Learn.
artificial-intelligence machine-learning numpy pandas python scikit-learn
Last synced: 07 Feb 2026
https://github.com/tynab/descriptive-statistics
CyberSoft Machine Learning 03 - Descriptive Statistics
anaconda anaconda-navigator cybersoft-academy cybersoft-academy-machine-learning cybersoft-academy-ml cybersoft-machine-learning cybersoft-ml descriptive-statistics jupyter-notebook labelencoder machine-learning mathplotlib numpy onehotencoding pandas python scikit-learn scipy seaborn sklearn
Last synced: 09 Feb 2026
https://github.com/khaymanii/fake_news_prediction_model
This model was built using python and logistic regression algorithm
matplotlib numpy pandas python sckit-learn
Last synced: 05 May 2026
https://github.com/shreeparab1890/flipkart-laptops-analysis-eda
This ipython notebook is the Exploratory data analysis (EDA) of the Laptops listed on Flipkart.
data-analysis eda exploratory-data-analysis matplotlib-pyplot numpy pandas plotly
Last synced: 14 Apr 2026
https://github.com/laavanjan/lstm-rnn-next-word-prediction
An advanced LSTM RNN-based deep learning model designed for next-word prediction. This model processes sequential text data using deep learning techniques to generate accurate and context-aware word predictions in real-time
jupyter-notebook numpy pandas-dataframe rnn rnn-tensorflow streamlit-webapp tensorflow
Last synced: 09 May 2026
https://github.com/tritonix711/digitvision-number-predictor
"DigitVision: Number Predictor" is a deep learning project that uses a Convolutional Neural Network (CNN) to classify handwritten digits (0-9) from images. Built with Python and TensorFlow, it supports dataset preprocessing, model training, evaluation, and predictions, offering a scalable and accurate solution for digit recognition tasks.
cnn keras matplotlib numpy os pillow plt python tensorflow tkinter
Last synced: 05 May 2026
https://github.com/rafinhadufluxo/calculonumerico
Trabalhos de Cálculo Numérico UFFS 📐📊
calculate-numbers exercices matematica mathematical-modelling matplotlib-figures numpy python3 student
Last synced: 29 Jun 2026
https://github.com/singh-dhruv/traffic-light-detection-and-recognition
Welcome to this repository! Here we explored the topic of traffic lights detection and its recognition for helping the Autonomous Vehicles in their interpretation of traffic lights and decision making while driving.
autonomous-driving computer-vision matplotlib-pyplot numpy python r-cnn tensorflow
Last synced: 05 May 2026
https://github.com/free-programmers/image_processing_python
image processing python
image-processing matplotlib numpy opencv opencv-python
Last synced: 05 May 2026
https://github.com/RsGoksel/Genetic-Algorithms
A Guide to Problems and Solutions on Genetic Algorithms
agent evolutionary-algorithms game game-solution genetic-algorithm genetic-algorithms gym neural-network numpy numpy-arrays pygame python stable-baselines3
Last synced: 11 May 2026
https://github.com/gracysapra/pandas-numpy-data-visualisation
This repository contains essential Python scripts and notebooks for data analysis and visualization. It includes: pandas: Data manipulation and analysis, including operations on series and dataframes. NumPy: Efficient numerical computations and array processing. Data Visualization: Creating insightful visualizations using Matplotlib and Seaborn.
data-science data-visualization matplotlib numpy numpy-arrays pandas pandas-dataframe pandas-series seaborn
Last synced: 07 May 2026
https://github.com/myounus-codes/saleprice-prediction-dataset-analysis-and-cleaning-advance-regression
In this project I have cleaned the data for the model. Project Google Colab Link: https://colab.research.google.com/drive/1vQY-XEFJSdEkW2PQOSf1j13Yk8L-XXNw?usp=sharing
algorithms data-analysis data-science eda google-colab machine-learning numpy pandas python scikit-learn scikit-learn-python
Last synced: 05 May 2026
https://github.com/elissorokin/data-analyst-portfolio-rus
Это репозиторий, в котором я демонстрирую свои навыки, делюсь проектами и отслеживаю прогресс в области анализа данных и Data Science.
ab-testing data data-analysis datalense matplotlib numpy pandas plotly portfolio postgresql python scipy seaborn sql statistical-analysis
Last synced: 25 Feb 2026
https://github.com/lintangwisesa/python_recommendation_system
Basic recommendation system using Python & Sklearn
numpy pandas python recommendation-system sklearn
Last synced: 05 May 2026
https://github.com/busraozdemir0/data_analysis_apps
Data analysis and data visualization applications with python
data-analysis data-analysis-python data-visualization matplotlib matplotlib-figures matplotlib-pyplot numpy numpy-python pandas pandas-dataframe pandas-library
Last synced: 18 Apr 2026
https://github.com/nomadsdev/financial-trend-analyzer
FinancialTrendAnalyzer helps analyze and visualize sales data to uncover financial trends. It uses Python to calculate total sales, track changes, and generate insightful charts for better decision-making.
business-intelligence data-analysis data-visualization financial-analysis matplotlib numpy pandas python revenue-trends sales-data seaborn time-series-analysis
Last synced: 19 Jan 2026
https://github.com/andrehaguiar/pos-graduacao-inteligecia_artificial-ciencia_de_dados
Cronograma do curso
ciencia-de-dados dados matplotlib-pyplot numpy orange pandas python scipy sklearn
Last synced: 11 Apr 2026
https://github.com/Tritonix711/FractureAI
This tool helps people upload X-rays to find broken bones. It uses a machine to mark where the breaks are and gives users marked pictures to download. A smart computer also helps people understand their broken bones and gives them advice.
css cv2 flask gorq html javascript matplotlib npm numpy pandas pydantic python react scikit-learn torch torchvision ultralytics
Last synced: 19 Aug 2025
https://github.com/aryansk/human-counting-system
HumanVision-Detector is a real-time human detection system built with OpenCV and HOG (Histogram of Oriented Gradients) descriptor. The system can detect and count people in both images and video streams, making it suitable for various applications including surveillance, crowd monitoring, and foot traffic analysis.
argparse imutils machine-learning machine-learning-algorithms numpy opencv python
Last synced: 19 Apr 2026
https://github.com/omerkel/fractals
Rendering Fractals like Hilbert curves, Julia sets and Mandelbrot sets in various techniques.
fractals glsl-shaders hilbert-curve julia-sets jupyter-notebook mandelbrot-sets matplotlib numpy webgl-shader
Last synced: 13 May 2026