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/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/aryansk/geometric-transformation-visualizer
A comprehensive toolkit for visualizing various geometric transformations on both 2D shapes and images using Python. This project demonstrates fundamental geometric operations through interactive visualizations.
computer-vision matplotlib numpy opencv python
Last synced: 05 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/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/hanneskimara/ai-notebooks
Notebooks
mnist-classification neural-network notebook numpy
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https://github.com/khaymanii/customer_segmentation_model
This model was built using Python and KMeans Clustering algorithm
matplotlib numpy pandas python sckit-learn seaborn
Last synced: 06 May 2026
https://github.com/armahdavi/unsupervised-clustering-ml---pm_source_detection-indoor-air
Indoor PM2.5 source detection algorithm using unsupervised clustering ML method (k-means clustering)
climate-data dbscan dbscan-clustering jupyter-notebook kmeans kmeans-clustering matplotlib-pyplot numpy pandas pca python signal-processing spyder-python-ide tsne
Last synced: 06 May 2026
https://github.com/nemeslaszlo/emergency-911-calls
Covers emergency (911) Calls: Fire, Traffic, EMS for Montgomery County, PA analysis with visualizations.
jupyter-notebook matplotlib numpy pandas seaborn
Last synced: 06 May 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/sudipbishwakarma/bulk-remove-onesignal-users
Bulk remove OneSignal subscribed users blazingly faster with parallel processing.
numpy pandas python python-logger python-multiprocessing python-threading python3
Last synced: 07 May 2026
https://github.com/yash22222/sync-intern-s-ml-tasks
SYNC INTERN'S Machine Learning internship will offer you to enhance your skills by doing real-life example projects. This internship will increase your knowledge in the field of data and algorithms to understand how a machine learns.
bhpp boston-house-datasets boston-house-price-prediction boston-house-pricing data data-structures machine-learning machine-learning-algorithms numpy pandas sync-intern sync-interns
Last synced: 07 May 2026
https://github.com/mohamedawnallah/covid19-dataanalysis-python
how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. In this project, we are going to work with the COVID19 dataset, published by John Hopkins University, which consists of the data related to the cumulative number of confirmed cases, per day, in each Country. Also, we have another dataset consist of various life factors, scored by the people living in each country around the globe. We are going to merge these two datasets to see if there is any relationship between the spread of the virus in a country and how happy people are, living in that country.
covid19 dataanalysis datavisualization happiness-report jupyternotebook numpy pandas python
Last synced: 08 May 2026
https://github.com/jesussantana/ibm-python-for-data-science-py0101en
This introduction to Python will kickstart your learning of Python for data science, as well as programming in general.
data-science numpy pandas python
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https://github.com/oriyarden/binary-multiclassificationneuralnetworksfromscratchnumpyarraysonlypython
Neural networks for binary and multiple classification from scratch (using only numpy arrays) in Python
artificial-intelligence artificial-neural-networks backpropagation backpropagation-neural-network data-science from-scratch google-colab-notebook iris iris-classification iris-dataset machine-learning neural-networks numpy numpy-arrays object-oriented-programming oop python recurrent-neural-networks
Last synced: 08 May 2026
https://github.com/dadadel/multilayerperceptron
Multi Layer Perceptron
multilayer-perceptron neural-network numpy python3
Last synced: 08 May 2026
https://github.com/prasadlokhande-880/imagetransformationtool
This script demonstrates image transformations using OpenCV, including shifting, resizing, rotating with scaling, and skewing for various image processing tasks.
ai datamanipulation ml numpy opencv python
Last synced: 08 May 2026
https://github.com/akashash01/logistic-regresion
This is an contrast of linear regression model, used to examine the association between the independent variable(category or contineous) with dependent variable(binary), which is an discrete outcome.
auc-roc-curve classification confusion-matrix data-science kolmogorov-smirnov machine-learning nonlinear-regression numpy pandas python supervised-learning vif woe-and-iv
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https://github.com/varshneydevansh/machinelearning-101
This repository is about various Algorithm's and Implementations in ML
artificial-intelligence artificial-neural-networks computer-science computer-vision deep-learning machine-intelligence machine-learning machine-learning-algorithms machinelearning neural-network numpy numpy-tutorial python tensorflow tensorflow-tutorials tutorial tutorial-exercises
Last synced: 08 May 2026
https://github.com/neetigyab/pdfreader
Ready to use Python application/file for parsing a specific format of pdf form, and storing relevant user data in a tabular format in excel sheet
excel forms matplotlib numpy ocr opencv-python pandas pdf pdf-converter pdfplumber pytesseract python
Last synced: 08 May 2026
https://github.com/tanu272004/-income-mortgage-housing-insights-a-state-city-analysis-
To analyze state & city housing trends and affordability using data analytics.”
bigquery business-intelligence data-analysis data-visualization dax googlecloud kpi numpy powerbi predective-modeling python sql
Last synced: 09 May 2026
https://github.com/607011/1dollar
Simulation of a counterintuitive distribution problem
animation go golang matplotlib numpy plot python3 simulation statistics
Last synced: 09 May 2026
https://github.com/idow09/ud810-problem-sets
Solutions to the problem sets of Introduction to Computer Vision course at Udacity
computer-vision numpy opencv opencv-python problem-sets python solutions udacity
Last synced: 09 May 2026
https://github.com/alexcoder04/image-edit
A Python GUI for basic image editing, school project
fun gui image-editing image-processing numpy pil pyqt pyqt5 python python3 qt sideproject
Last synced: 09 May 2026
https://github.com/khaymanii/medical_insurance_cost_prediction-_model
This Model was built using Python and Linear Regression algorithm
matplotlib numpy pandas python sckit-learn seaborn
Last synced: 09 May 2026
https://github.com/haloapping/sharing-tipis-tipis
#sharingtipistipis 📗 catatan ketika belajar machine learning, deep learning dan masih banyak lagi.
caring deep-learning machine-learning numpy pandas scikit sharing
Last synced: 09 May 2026
https://github.com/rubinlake/rl-academy-data-analytics
Educational data analysis project demonstrating BMW sales data analysis with AI-powered code assistance using Cursor IDE and Jupyter notebooks
cursor-ide data-analysis educational-project jupyter langchain matplotlib numpy pandas python scipy seaborn
Last synced: 09 May 2026
https://github.com/vasugi2003/air-pollution-detection-using-machine-mearning
Air Pollution Detection using Machine Learning
airpollution datasets machine-learning-algorithms numpy pandas predictive-modeling python3
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https://github.com/realamirhe/leaf-node
A leaf node for your machine learning journey, from scratch to practical applications...
algorithm auto-encoder classification cybernetics feature-extraction feedback-mechanism lda learning machine-learning machine-learning-journey numpy pca practice regression scikit-learn sklearn smlfdl
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https://github.com/molodchina/msu-ml-prac
MSU-CMC-SP Machine Learning practicum
clustering decision-trees encodings ensemble gradient-boosting knn machine-learning matplotlib numpy pandas plotly seaborn svm
Last synced: 10 May 2026
https://github.com/eljandoubi/huggingface_image_classifier
Fine-tune the Vision Transformer (ViT) using LoRA and Optuna for hyperparameter search.
huggingface-datasets huggingface-optuna huggingface-peft huggingface-transformers hyperparameter-optimization image-classification numpy pytorch visual-transformer
Last synced: 10 May 2026
https://github.com/datarohit/opencv-document-scanner
This is a Document Scanner built using Python and OpenCV. It also has Image Saving Feature. You can adjust the thresholds to find the contours better.
numpy opencv opencv-python python
Last synced: 10 May 2026
https://github.com/khaymanii/car-price-prediction-model
This is a model built using Python , Lasso and Linear Regression algorithm.
matplotlib numpy pandas python sckiit-learn
Last synced: 10 May 2026
https://github.com/ashraf-khabar/funcplot-plottingfunctionsmadeeasy
FuncPlot is a user-friendly app built with Kivy and KivyMD that allows you to easily plot and visualize mathematical functions on your desktop or mobile device. With its intuitive interface and support for multiple functions, FuncPlot makes it easy to explore and understand complex mathematical concepts.
kivy kivymd matplotlib numpy python
Last synced: 11 May 2026
https://github.com/rhazra-003/sketcher
A simple python code to make sketch out of any given photo using opencv and numpy
Last synced: 11 May 2026
https://github.com/ananas1kexe/clap-to-rickroll
A Python-based utility that detects double claps via microphone to automate system actions. It forces volume to 100% via ALSA and triggers a multi-tab browser prank. Uses NumPy for real-time acoustic sharpness analysis.
audio-processing automation claps-detection cybersecurity-prank dsp numpy python rickroll
Last synced: 11 May 2026
https://github.com/michaelfeil/lstm-dlnn2020
Character-LSTM implementation in Numpy
lstm nlp-machine-learning numpy
Last synced: 14 May 2026
https://github.com/anishshinde01/machine-learning-exercises
Python implementations of machine learning, statistics, and mathematical foundations.
linear-algebra machine-learning machine-learning-algorithms matplotlib numerical-analysis numpy python scikit-learn scipy statistics
Last synced: 11 Jun 2026
https://github.com/andrii-zapukhlyi/image_classifier_from_scratch
Image classifier from scratch using NumPy + CNN + Transfer Learning
cnn deep-learning image-classification machine-learning neural-networks numpy transfer-learning
Last synced: 16 Jun 2026
https://github.com/arjunravi26/image-editor
A dajngo based image manipulation webiste
django jsonresponse numpy opencv pillow
Last synced: 17 Jun 2026
https://github.com/duoan/machine-learning-notebook
A notebook repository for tracking learning machine learning notebook.
data-analysis decision-tree ensemble-model gbdt machine-learning numpy pandas xgboost
Last synced: 18 Jun 2026
https://github.com/robson-python/curso-de-python-fea.dev---listas-de-exerc-cios-e-projeto-final
Listas de exercícios e meu Projeto de Avaliação do Curso
functions jupyter-notebook matplotlib numpy pandas python seaborn vscode
Last synced: 23 Jun 2026
https://github.com/bhattbhavesh91/numpy-performance-test
Comparing the performance of Base Python Square root function with a numpy equivalent
Last synced: 20 Apr 2026
https://github.com/isabelacaldeira/projetnumerique
Let's talk physics through code!
jupyter-notebook matplotlib numpy physics python python3 university-project
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https://github.com/jpcadena/palmer-penguins
Palmer Penguins
analytics csv data data-analytics data-science exploratory-data-analysis matplotlib numpy palmer-penguin pandas plotly pylint python seaborn visualization
Last synced: 11 Apr 2026
https://github.com/jahanostg/linear-regression_ml-algorithm
Linear Regression Algorithm
colab-notebook matplotlib numpy pandas scikit-learn seaborn
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https://github.com/themusharraf/loan-predictor
fastapi jobl ml numpy pandas sckiit-learn
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https://github.com/ivangael/image-toolbox-backend
api-rest flask numpy opencv python tensorflow
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https://github.com/dbriane208/python-for-data-science
Machine Learning and Data Science repository. Love crafting Machine Learning models.
data-analysis data-science data-visualization machine-learning numpy pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/ifte-13/early-stage-brain-stroke-detection
Predictive Analysis & Early Detection of Brain stroke using Machine Learning Algorithm
decision-tree imbalanced-learn knn matplotlib numpy pandas random-forest scikit-learn seaborn
Last synced: 06 Jul 2025
https://github.com/staciax/data-science
data-science matplotlib numpy skit-learn
Last synced: 18 Nov 2025
https://github.com/harmanveer2546/campus-recruitment-prediction
Student Campus-Placement Prediction ML Project using Python
decision-trees machine-learning matplotlib numpy pandas python random-forest scipy seaborn
Last synced: 11 Apr 2026
https://github.com/iv4n-ga6l/GenderDetection
Gender detection using gender classification model
genderclassification genderdetection numpy pil python resnet18 torch torchvision
Last synced: 28 Apr 2025
https://github.com/iv4n-ga6l/Geometric-ShapesRecognizer-in-image
Geometric shapes recognizer API built in python
api-rest flask numpy opencv python shaperecognitionapi
Last synced: 28 Apr 2025
https://github.com/harmanveer-2546/finding-you-next-perfect-house
In this exploratory data analysis, we compare a dataset which consists of various features about renting of houses available on these renting platforms listed by owners of these houses, and try to derive some constructive conclusions by performing Descriptive statistics of the available features.
adaboostregressor decisiontreeregressor exploratory-data-analysis house-price-prediction inline linearregression matplotlib numpy onehotencoder pandas plotly python randomforestregressor renting seaborn standardscaler xgbregressor
Last synced: 13 Apr 2026
https://github.com/hajaarh/malaria_hematie_cnn
Algorithme de réseaux de neurones convolutionnels
numpy pandas python resnet-50 sklearn-library tensorflow vgg16
Last synced: 13 Apr 2026
https://github.com/dummumounika/ecommerce-sales-categorization
This repository contains Python code for text classification and analysis of e-commerce sales data. The script processes textual descriptions of products and categorizes them into predefined categories using a Naive Bayes classifier. It also includes various analysis and visualization methods to explore the dataset.
machine-learning matplotlib-pyplot ntlk numpy pandas python scikit-learn
Last synced: 13 Apr 2026
https://github.com/soumyapro/house-price-prediction
Explored different attributes of Boston housing dataset then a part of dataset was used to train the linear regression algorithm after that trained model was used to give predictions on remaining part of dataset.
linear-regression matlplotlib numpy pandas sklearn svm
Last synced: 13 Apr 2026
https://github.com/eny2930/ai-ml-projects
A project demonstrating various libraries and tools in using algorithms in machine learning. This repository includes code samples, datasets, and detailed explanations.
iris-dataset keras linear-regression logistic-regression matplotlib numpy pandas pytorch sckiit-learn seaborn sentiment-analysis
Last synced: 13 Apr 2026
https://github.com/intscription/machine-learning
Machine Learning and it's advance concepts
adaboost numpy pandas pca-analysis pipeline random-forest scikit-learn svm
Last synced: 28 Apr 2026
https://github.com/ebadshabbir/decision_tree_algorithm
Decision Tree Classifier for Social Network Ads A Python implementation of a Decision Tree Classifier to predict user purchasing behavior based on age and estimated salary. Includes feature scaling, model evaluation (confusion matrix and accuracy), and visualizations of decision boundaries for both training and test sets.
decision-tree-classifier jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/pramodyasahan/spaceship-titanic
This repository features a machine learning model designed to predict whether passengers of a space travel company are likely to be transported. The model employs CatBoostClassifier, a machine learning algorithm known for handling categorical data effectively.
machine-learning numpy pandas python scikit-learn
Last synced: 13 Apr 2026
https://github.com/dmarks84/ind_project_obesity-multi-class-classification--kaggle
Independent Project - Kaggle Competition -- I worked on the obesity classification data set as part of a Kaggle Competition of the same name, scoring (for accuracy) above 0.9
classification correlation-analysis cross-validation data-modeling data-visualization dataframes eda gridsearchcv matplotlib multiclass-classification numpy pandas python seaborn sklearn statistics supervised-ml
Last synced: 11 Apr 2026
https://github.com/shwetapardhi/assignment-03-q2--hypothesis-testing
Anova ftest statistics A hospital wants to determine whether there is any difference in the average Turn Around Time (TAT) of reports of the laboratories on their preferred list. They collected a random sample and recorded TAT for reports of 4 laboratories. TAT is defined as sample collected to report dispatch. Analyze the data and determine wheth
annova ftest hypothesis-testing numpy pandas python scipy significance-testing stats
Last synced: 11 Apr 2026
https://github.com/abideen-olawuwo/bulldozer-prediction
Predicting the Future Price of Bulldozer
machine-learning matplotlib numpy pandas python random-forest-regressor scikit-learn
Last synced: 11 Apr 2026
https://github.com/udacity-machinelearning-internship/support-vector-machine
Implementing SVM's using pandas and sklearn in python
numpy pandas sklearn support-vector-machines svm
Last synced: 13 Apr 2026
https://github.com/rohansoni45/ipl-win-predictor
A machine learning model that predicts the outcome of IPL matches based on historical data and player performance. Built using Python and libraries like Pandas, NumPy, and scikit-learn. This project demonstrates the use of classification algorithms to predict match outcomes.
classification data-science ipl machine-learning model-evaluation numpy pandas python sklearn sports-analytics
Last synced: 08 May 2026
https://github.com/mramshaw/intro-to-ml
Intro to Machine Learning - Pattern Recognition for Fun and Profit
machine-learning matplotlib ml numpy pandas pip pip3 python scikit-learn scipy seaborn seaborn-plots sklearn statsmodels tensorflow weka
Last synced: 11 Apr 2026
https://github.com/anubagre/predicting-price-of-pre-owned-cars
This project is solution to data science problem based on regression model to predict the price of pre owned cars. Programming language used is Python.
data-science machine-learning numpy pandas price-prediction python seaborn sklearn streamlit
Last synced: 11 Apr 2026
https://github.com/ot-code/coca-cola-stock-prediction
This repo compares four predictive models—Linear Regression, ARIMA, XGBoost, and LSTM—to forecast Coca‑Cola FEMSA stock closing prices using Python and five years of historical data.
arima csv linear-regression lstm-neural-networks mae matplotlib mse numpy pandas python r2 scikit-learn seaborn tensorflow-keras xgboost
Last synced: 13 Apr 2026
https://github.com/sadegh15khedry/housing-prices-prediction-using-randomforest
This repository contains an implementation of random forest model to predict housing prices using the Boston Housing dataset.
csv joblib jupyter-notebook matplotlib numpy pandas pil python random-forest seaborn sklearn
Last synced: 27 Feb 2025
https://github.com/sadegh15khedry/titanic-survival-prediction
Predicting Titanic survival using neural networks.
conda-environment jupyter-notebook kersa matplotlib numpy pandas python seaborn sklea supervised-learning tensorflow titanic-kaggle
Last synced: 27 Feb 2025
https://github.com/kkufieta/carnd-vehicle-detection
Vehicle Detection & Tracking - Self Driving Cars
cv2 hog-features numpy self-driving-car sklearn vehicle-detection
Last synced: 11 Apr 2026
https://github.com/hanzopgp/transformerneuralnetwork
Building a transformer with Keras and TensorFlow following tutorial.
artificial-intelligence deep-learning jupyter-notebook machine-learning natural-language-processing numpy personal transformer
Last synced: 08 May 2026
https://github.com/arrnikhilchauhan/book-recommendation
This Book Recommendation System is designed to provide personalized book suggestions based on user ratings and interaction. By leveraging the power of Pandas and NumPy, it filters and processes data efficiently, ensuring that recommendations are relevant and tailored to the user’s preferences
Last synced: 15 Apr 2026
https://github.com/jacekkala/statistics_hypothesis_testing
Statistics & Hypothesis Testing in Python
charts hypothesis-testing jupyter-notebook matplotlib numpy pandas python scipy-stats seaborn statistics
Last synced: 11 Feb 2026
https://github.com/athari22/mean-normalization
Mean Normalization
jupyter-notebook mean normalization numerical-analysis numpy numpy-exercises python python3
Last synced: 20 Jan 2026
https://github.com/egrizq/bike_analysis
Exploring the bike sharing system to find the patterns behind user behavior by weather, season, hour, and months.
data-science matplot numpy python seaborn
Last synced: 08 May 2026
https://github.com/andersoncrs/prediccion_precio_vehiculos_statsmodels
Este proyecto utiliza un modelo de regresión lineal para predecir el precio de vehículos basándose en sus características principales. El análisis incluye la definición del problema, exploración y limpieza de datos, conversión de variables categóricas a numéricas, evaluación de correlaciones y entrenamiento del modelo.
analisis-de-datos analisis-exploratorio-de-datos matplotlib numpy seaborn statsmodels visualizacion-de-datos
Last synced: 26 Apr 2026
https://github.com/erikbrinkman/hilbert-bytes
A python library for converting between d-dimensional points and indices on a hilbert curve
hilbert-curve numba numpy python
Last synced: 08 May 2025
https://github.com/mastermindromii/car-price-prediction-model
Here is My Regression Project based on Predicting Price of Car using Linear Regression.
linear-regression matplotlib numpy pandas python scikit-learn seaborn
Last synced: 13 Apr 2026
https://github.com/bunu23/image-classification
This repository contains a notebook implementing a Convolutional Neural Network for multi-class image classification using transfer learning with a pre-trained ResNet-50 model. Covers dataset handling, model architecture customization, training, evaluation, fine-tuning, and external image prediction.
keras matplotlib numpy pil python tensorflow
Last synced: 11 Apr 2026
https://github.com/shreeparab1890/heart-attack-analysis-prediction-accuracy-85.24
This iPython Notebook implements the Analysis and Predictions for Heart Attack. The Analysis is done on the dataset to identify the key features which has a impact on Heart Attack. After the analysis and data cleaning, the dataset is used to train the model using different ML algorithm.
eda exploratory-data-analysis matplotlib numpy pandas plotly prediction python scikit sklearn
Last synced: 13 Apr 2026
https://github.com/badranalyst/student-tests-data-analysis-application
Python-based analysis of student test scores in math, reading, and writing, examining correlations with parental education, lunch type, and test preparation. Includes data cleaning, visualization, and statistical insights into factors influencing academic performance.
data-analysis data-visualization dataset matplotlib numpy pandas python sklearn
Last synced: 05 May 2026
https://github.com/moustafamohamed01/data-analysis-ecommerce-purchases
Data Analysis : Analyzing (Ecommerce Purchases) dataset from Kaggle
jupiter-notebook numpy pandas python
Last synced: 08 May 2026
https://github.com/mihirh19/uber-analysis
Uber's 2016 dataset analysis offers insightful information about the company's operations and user behaviour. Patterns and trends can be discovered by looking at variables like trip time, distance travelled, and pickup/drop-off locations. Uber may use this information to detect high-demand locations, increase overall efficiency, and optimise driver
matplotlib numpy opendatasets pandas seaborn
Last synced: 11 May 2026
https://github.com/ahmedabdalkreem/healty-care
The Complete project using neural network to arrive the best healt know he is stoke or not.
matplotlib neural-network numpy pandas python3 sklearn-library
Last synced: 13 Apr 2026
https://github.com/nachtfeuer/covid19
Python script(s) for visualizing corona data
csv json matplotlib numpy pandas python requests tkinter
Last synced: 05 May 2026
https://github.com/juanpablo70/pgad-assignment01
Breast Cancer Coimbra data set analysis
data data-science dataframe dataset jupyter-notebook matplotlib numpy pandas python
Last synced: 08 May 2026
https://github.com/mohamed15058/amazon-sales
amazon-sales
dashboard excel machine-learning-algorithms matplotlib numpy pandas powerbi report seaborn
Last synced: 13 Apr 2026
https://github.com/mgitrov/lifespan-x-population-status
A machine learning project aiming to predict animals' lifespan and population status.
bs4 data-science machine-learning matplotlib numpy pandas python regular-expressions requests seaborn sklearn
Last synced: 11 Apr 2026
https://github.com/spear97/montecarlo-simulaton
This project involved developing a Monte Carlo Simulation using Python, implemented with libraries like NumPy, Pandas, and Matplotlib within Visual Studio. The program's primary goal is to generate figures illustrating compound interest results over time for a specified amount.
data-science matplotlib matplotlib-figures numpy pandas-python python python-3 python3
Last synced: 13 Apr 2026
https://github.com/tkc/node-neural-network
Built with only pure typescript, neural network iris sample.
javascript machine-learning neural-network node numpy typescript
Last synced: 09 Apr 2026