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/socaity/media-toolkit
Web-ready standardized file processing and serialization. Read, write, convert and send files. Including image, audio, video and any other file. Easily convert between numpy, base64, bytes and more.
base64 bytesio fast-task-api httpx image-processing json numpy serialization video
Last synced: 27 Oct 2025
https://github.com/bursasha/deeplearningai-machine-learning-tensorflow-course
Projects and certificates from a machine learning course focused on TensorFlow and Keras, covering neural networks, CNNs, NLP, and time series analysis 🧠
convolutional-neural-networks deeplearning-ai keras machine-learning mlcourse natural-language-processing neural-networks numpy pandas python-machine-learning recurrent-neural-networks tensorflow
Last synced: 10 Apr 2026
https://github.com/princeofpuppers/qbot
A Domain-Specific Programming Language for Analyzing Quantum Algorithms
esoteric-language numpy probabilistic-programming quantum-computing quantum-programming-language
Last synced: 28 Apr 2026
https://github.com/sureshbeekhani/machine-learning-algorithms
A collection of machine learning algorithms implemented for learning and practice, covering regression and classification models using Python.
dataanalysis datascience featurescaling linearregression machinelearning matplotlib numpy pandas python seaborn
Last synced: 28 Apr 2026
https://github.com/datarohit/car-evaluation--classification
This is a Kaggle Dataset where we classify the cars using their various features. Here I used plotly to visualize the Accuracy Scores. Also I used CrossValScore to get More accurate Accuracy Score.
classification-algorithm cross-validation-score machine-learning matplotlib-pyplot numpy pandas sklearn
Last synced: 28 Apr 2026
https://github.com/carlthome/ipytoolbox
A collection of IPython magics and other utilities
ipython jupyter matplotlib numpy
Last synced: 18 Jan 2026
https://github.com/a3ro-dev/weather-prediction-application
a weather prediction application built using Streamlit. The application predicts future temperatures and weather types based on past trends. It provides a sleek and intuitive user interface for input and displays the predictions dynamically.
charts mathematics matplotlib numpy plotting python python3 streamlit weather weather-app weather-forecast weatherprediction webapp
Last synced: 06 Feb 2026
https://github.com/nikorasu/nantarray
An array-based cellular-automata implementation of my ant pheromone simulation!
ant-colony ant-colony-optimization ant-colony-simulation ant-simulation ants ants-simulator array cellular-automata emergent-behavior numpy numpy-arrays pheromone pheromones python python3 simulation swarm-intelligence trails
Last synced: 29 Apr 2026
https://github.com/tasninanika/callifornia-housing-price-prediction-svr
Support Vector Regression (SVR) is a type of Support Vector Machine used for predicting continuous values.
matplotlib numpy pandas python3 scikit-learn seaborn svm-regression
Last synced: 11 Apr 2026
https://github.com/dhairyac/student-performance-analysis
Analyze and visualize features affecting student performance
decision-tree-classifier logistic-regression matplotlib numpy pandas random-forest-classifier scikit-learn seaborn
Last synced: 07 May 2026
https://github.com/savernish/forgenn
forgeNN is a in-development purpose‑built neural network framework combining a transparent NumPy autograd engine with a Keras‑like API and performance oriented primitives. Developed by a college student with an ambitious feature pipeline.
artificial-intelligence deep-learning keras machine-learning mlp-networks neural-network numpy pytorch tensorflow tensors
Last synced: 08 Oct 2025
https://github.com/serhatderya/tabular-playground-series
This repository contains solutions of monthly Tabular Playground Series in Kaggle.
ai artificial-intelligence data data-preprocessing data-processing data-science data-visualization jupyter-notebook kaggle machine-learning numpy pandas python regression scikit-learn scikitlearn-machine-learning seaborn software statsmodels
Last synced: 11 Apr 2026
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
Last synced: 10 Apr 2026
https://github.com/mgobeaalcoba/matplotlib_y_seaborn
Aquí dejaré trabajos de visualización realizados con ambas librerías de Python.
data-analysis data-science data-visualization dataset matplotlib numpy pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/zainashrafofficial/ml_project_2024
A machine learning semester project of university, implementing classification and regression models to predict house prices & number of rooms using a dataset with over 160,000 entries.
ai ann artificial-neural-networks classification decision-trees jupyter-notebook linear-regression logistic-regression matplotlib ml numpy pandas python random-forest regression-models svm tensorflow
Last synced: 13 Apr 2026
https://github.com/34j/numpy-flint-arb
Arbitrary precision floating / ball arithmetic (interval arithmetic) dtype in NumPy / array API
acb arb arbitrary-precision array-api flint interval-arithmetic mpmath numpy
Last synced: 10 Mar 2026
https://github.com/moindalvs/simple_linear_regression_1
Predicting Delivery Time Using Sorting Time
aic bic data-transformation f-statistics likelihood log-transformation matplotlib numpy ols-regression ordinary-least-squares pandas-dataframe pandas-library prediction predictive-modeling residuals rmse-score simple-linear-regression sklearn sklearn-library
Last synced: 17 Apr 2026
https://github.com/shivendrra/Seeker
This project will help to write new scripts for YouTube videos from scratch using fine-tuned Llama-7B
ai artificial-intelligence finetuning google-custom-search-api google-custom-search-engine llama2 llm numpy pandas python pytorch react-native reactjs transformers youtube-api
Last synced: 30 Dec 2025
https://github.com/guifernandess7/megasena-estatisticas-e-analises
Análises e Estatísticas dos jogos da megasena com base em todos os jogos que já ocorreram.
Last synced: 29 Apr 2026
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/aryansk/movie-recommendation-system
A sophisticated movie recommendation system that suggests films based on user ratings and collaborative filtering techniques. Get personalized movie suggestions based on viewing patterns and user preferences! 🎯
machine-learning machine-learning-algorithms matplotlib numpy pandas python recommender-system seaborn
Last synced: 29 Apr 2026
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/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
Last synced: 10 Apr 2026
https://github.com/martincastroalvarez/python-recommender-systems
Recommender systems with numpy.
clustering condorcet-voting numpy recommender-system
Last synced: 29 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
Last synced: 15 Apr 2026
https://github.com/michaelradu/computational-physics
A collection of Jupyter notebooks demonstrating the use of Python to solve classical and modern physics problems through computational modeling.
computational-model computational-modeling computational-physics education educational jupyter jupyter-notebook latex matplotlib notebook notebooks numerical-analysis numerical-methods numpy physics physics-analysis physics-simulation python scikit-learn
Last synced: 07 Apr 2025
https://github.com/yunfanjiang/ml_interview_with_numpy
Implementation of ML algorithms using NumPy from scratch
from-scratch interview machine-learning machine-learning-algorithms numpy
Last synced: 29 Apr 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/fatma-moanes/machine-learning-labs
My implementation for the labs of the Machine Learning course that I studied in my university, Zewail City.
bootstrap data-analysis data-science deep-learning keras knn-classification linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib ml neural-networks numpy pandas pca preprocessing python seaborn svm-classifier
Last synced: 12 Apr 2026
https://github.com/akshay-kamath/visual-privacy-protection
An AI based application designed to protect visual privacy by anonymizing faces and obfuscating sensitive textual information (PII) in both images and videos
ai caffemodel computer-vision deep-learning nlp numpy ocr opencv pillow python3 tkinter
Last synced: 29 Apr 2026
https://github.com/cchandre/kh
Kramers-Henneberger reductions of Hamiltonian dynamics
amo attosecond-physics averaging hamiltonian kramers-henneberger matlab numpy schrodinger-equation strong-field-ionization tdse
Last synced: 29 Apr 2026
https://github.com/mohidex/analyze-movie-rating
Analyzing the distributions of IMDB and Metacritic movie ratings to see if we find anything interesting. To do this, first scrape data for over 2000 movies from imdb website.
beautifulsoup4 jupyter-notebook matplotlib numpy pandas python3 requests webscraping
Last synced: 20 Apr 2026
https://github.com/daniel207pzd/google-advanced-data-analytics-capstone-project-salifort-motors
data-analysis-python data-analytics exploratory-data-analysis google-advanced-data-analytics google-advanced-data-analytics-capstone jupyter-notebook matplotlib numpy pandas python random-forest scikit-learn scikitlearn-machine-learning seaborn xgboost
Last synced: 11 Apr 2026
https://github.com/v-mayya/python-sales-data-analysis
Group project with another team member held by CFG to conduct spreadsheet data analysis of fake sales data using Python
analysis data matplotlib numpy python
Last synced: 29 Apr 2026
https://github.com/ayuhamaro/py_weight_estimation
體重變化預估
matplotlib numpy pandas python3 scikit-learn scipy
Last synced: 12 Apr 2026
https://github.com/pfischer1687/ms-thesis
Computational Physics MS Thesis
ipython jupyter-notebook latex markov-chain matplotlib metropolis-hastings monte-carlo numpy pandas pdftex physics python scipy sympy
Last synced: 15 Mar 2026
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/aminakbari7/simple-data-science-with-excel
data-science excel machine-learning numpy pandas plot simple
Last synced: 06 May 2026
https://github.com/jinkogule/multi-analyst
O Multi Analyst é uma ferramenta de análise de dados com uma usabilidade simples, que utiliza inteligência artificial para interpretar os resultados das análises realizadas, retornando insights úteis aos usuários.
apriori-algorithm bootstrap css data-analysis django html numpy open-ai pandas python web-application
Last synced: 12 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/ndohvich/ndohvich
Je suis un grand fan de l'analyse des données avev PYTHON
anaconda arduino data github jypyter keras machine-learning machine-learning-algorithms numpy pandas python scikit-learn sql tensorflow visual-studio-code visualization-dashboard
Last synced: 11 Apr 2026
https://github.com/mmsaki/whale_portfolio
Determine which Whale portfolio is performing the best across multiple areas: volatility, returns, risk and Sharpe ratios.
datetime finance jupyter-notebook matplotlib numpy pandas pathlib python quantitative-finance seaborn stock-market trading-strategies
Last synced: 06 May 2026
https://github.com/jilliennelapid/finalproject_group53
Final Project for COP2080. Audio Graphical software that works with mono-channel .wav files and plots them in various ways.
matplotlib numpy pydub python scipy tkinter
Last synced: 14 Apr 2026
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.
calculator calculus cli computer-algebra-system curve-fitting machine-learning mathematics numpy physics python scientific-computing scikit-learn sparse-regression symbolic-regression sympy
Last synced: 13 Jan 2026
https://github.com/datarohit/garbage-image-classification
This is Garbage Image Classification End-To-End Project built using Python and Streamlit.
cnn-classification cnn-keras inceptionv3 keras-tensorflow matplotlib numpy
Last synced: 30 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/ankushmallick1100/task-2-the-sparks-foundation-data-science-and-business-analytics-internship
Task 02: Clustering using Unsupervised Machine Learning
clustering data-science internship internship-task jupyter k-means k-means-clustering machine-learning machine-learning-algorithms matplotlib numpy pandas python python3 sklearn thesparksfoundation thesparksfoundationinternship tsf unsupervised-learning unsupervised-machine-learning
Last synced: 04 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
Last synced: 11 Apr 2026
https://github.com/akash-rajak/image-noise-remover
Python Script to remove noise from image.
cv2 image-noise-remover numpy os python3 random tkinter
Last synced: 28 Apr 2026
https://github.com/dhruvsrikanth/pynn
Purely NumPy based API for building deep neural networks.
deep-learning deep-learning-framework machine-learning numpy python pytorch
Last synced: 09 May 2026
https://github.com/emmanuelezenwere/aind-aiprojects
Portfolio of AI projects developed during my Udacity AI Nanodegree, covering Planning AI, Constraint Satisfaction, Hidden Markov Models, and Search algorithms.
alpha-beta-pruning astar-algorithm bellman-equation breadth-first-search constraint-satisfaction-problem depth-first-search hidden-markov-model kalman-filter minmax-algorithm networkx nltk numpy pandas scikit-learn scipy sympy
Last synced: 29 Apr 2026
https://github.com/avijit-jana/used-car-price-prediction
A Streamlit-based application utilizing machine learning to predict used car prices based on features like make, model, year, fuel type, and transmission, enhancing customer experience and streamlining the pricing process.
carpriceprediction data-science jupyter-notebooks machine-learning numpy pandas pickle pricing-data-science python3 streamlit streamlit-webapp webapplication
Last synced: 11 Apr 2026
https://github.com/mtgsoftworks/blink-detecion-player
It is a software that has the ability to stop and play the videos watched on youtube and rewind when the eyes of this software are closed and opened.
dlib numpy opencv-python python3 scipy selenium-webdriver
Last synced: 13 Apr 2026
https://github.com/khaymanii/house-price-prediction-model
This model was built using Python and XGBoost Regression algorithm
matplotlib numpy pandas python scikit-learn
Last synced: 06 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
Last synced: 29 Apr 2026
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
Last synced: 11 Apr 2026
https://github.com/sarincr/introduction-to-pyqt5
PyQt5 is a comprehensive set of Python bindings for Qt v5. Qt is set of cross-platform Python libraries that implement high-level APIs for accessing many aspects of modern desktop and mobile systems.
app appdevelopment data-science kivy kivymd machine-learning numpy opengl pygui pyqt pyqt5 pyqt5-desktop-application pyqt6 pyside2 scipy tensorflow tkinter tkinter-graphic-interface tkinter-gui tkinter-python
Last synced: 13 Apr 2026
https://github.com/muhammad-fiaz/gpt
A simple implementation based on the "Attention is All You Need" paper, using GPT-2 for text generation.
attention-is-all-you-need gpt gpt-2 gpt-3 gpt-implementation gpt-using-pytorch gpt2 numpy open-source paper-implementations python pytorch pytorch-implementation
Last synced: 13 Apr 2026
https://github.com/freebirdscrew/datascience_crash_course
Data Science Crash Course that Explained about Each and Every Process in Data Science.
dash data datascience datascience-crash-course datascience-machinelearning datascientist datasets freebirdscrew matplotlib numpy numpy-library pandas plotly plotly-python python python3 simranjeet simranjeetsingh
Last synced: 29 Apr 2026
https://github.com/guilhermebit/movie-suggestions-using-k-nearest-neighbors
This project implements a movie recommendation system using the K-Nearest Neighbors (KNN) machine learning algorithm.
algorithms data-science euclidean-distance knn machine-learning matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/hayatiyrtgl/data_analysis_project
Financial data analysis: preprocess, visualize, calculate technical indicators.
data-analysis data-analysis-python data-science dataframe numpy pandas python python3 stock-price-prediction talib trade-analysis
Last synced: 04 Apr 2026
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
Last synced: 11 Apr 2026
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
Last synced: 11 Apr 2026
https://github.com/skywalkerSam/ML-101
Getting started with AI & ML!
ai-ml jupyter-notebooks matplotlib ml ml-framework numpy pandas python3 scikit-learn tensorflow
Last synced: 23 Apr 2025
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
Last synced: 10 Apr 2026
https://github.com/marksikaundi/30daysofdeeplearning
This challenge is designed to help you build a strong foundation in Python programming and deep learning over the course of 30 days. By the end of this challenge, you will have developed a comprehensive understanding of deep learning concepts.
data-science nlp numpy python pytorch tensorflow
Last synced: 04 Apr 2026
https://github.com/prodev717/neurogen
A simple Python library to build and train deep neural networks (SLP and MLP). It includes functions for forward propagation, backpropagation, loss calculation, and model saving/loading.
ai backpropagation deep-learning machine-learning mlp neural-networks numpy python slp
Last synced: 30 Apr 2026
https://github.com/iv4n-ga6l/OpenPose-Prediction
Person's body parts or joint position detection using openCV
detection numpy opencv prediction prediction-model python
Last synced: 28 Apr 2025
https://github.com/li-plus/tinynn
An educational PyTorch-like neural network framework based on NumPy
autograd deep-learning machine-learning neural-network numpy python
Last synced: 30 Apr 2026
https://github.com/ngirimana/decision-trees-and-random-forest-
For this project we will be exploring publicly available data from [LendingClub.com](www.lendingclub.com). Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor you would want to invest in people who showed a profile of having a high probability of paying you back. We will try to create a model that will help predict this. Lending club had a [very interesting year in 2016](https://en.wikipedia.org/wiki/Lending_Club#2016), so let's check out some of their data and keep the context in mind. This data is from before they even went public. We will use lending data from 2007-2010 and be trying to classify and predict whether or not the borrower paid back their loan in full. You can download the data from [here](https://www.lendingclub.com/info/download-data.action) or just use the csv already provided. It's recommended you use the csv provided as it has been cleaned of NA values. Here are what the columns represent: * credit.policy: 1 if the customer meets the credit underwriting criteria of LendingClub.com, and 0 otherwise. * purpose: The purpose of the loan (takes values "credit_card", "debt_consolidation", "educational", "major_purchase", "small_business", and "all_other"). * int.rate: The interest rate of the loan, as a proportion (a rate of 11% would be stored as 0.11). Borrowers judged by LendingClub.com to be more risky are assigned higher interest rates. * installment: The monthly installments owed by the borrower if the loan is funded. * log.annual.inc: The natural log of the self-reported annual income of the borrower. * dti: The debt-to-income ratio of the borrower (amount of debt divided by annual income). * fico: The FICO credit score of the borrower. * days.with.cr.line: The number of days the borrower has had a credit line. * revol.bal: The borrower's revolving balance (amount unpaid at the end of the credit card billing cycle). * revol.util: The borrower's revolving line utilization rate (the amount of the credit line used relative to total credit available). * inq.last.6mths: The borrower's number of inquiries by creditors in the last 6 months. * delinq.2yrs: The number of times the borrower had been 30+ days past due on a payment in the past 2 years. * pub.rec: The borrower's number of derogatory public records (bankruptcy filings, tax liens, or judgments).
artificial-intelligence decision-tree-classifier machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn
Last synced: 11 Apr 2026
https://github.com/hamdaniqhmqd/project-predict-saham-bbri
Repository Project-Predict-Saham-BBRI is a group assignment project that uses Streamlit, scikit-learn, and related technologies to build a BBRI stock price prediction application based on day, week, and month input.
data-visualization numpy pandas python sklearn streamlit
Last synced: 11 Apr 2026
https://github.com/Zion-Dev1/E-commerce-Analysis
Short machine learning project which analyses customer behaviour 🔎
analysis clustering ecommerce machine-learning numpy pandas sklearn
Last synced: 24 Oct 2025
https://github.com/rakibhhridoy/exploratorydataanalysis-python
Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task.
ab-testing chitest data-science eda exploratory-data-analysis ftest hypotheses hypothesis-testing inferential-statistics numpy pandas python statistical-analysis statistics statsmodels ttest
Last synced: 30 Apr 2026
https://github.com/pandeyankit123/books-recommender-system-using-machine-learning
This is a streamlit web application that can recommend various kinds of similar books based on an user interest.
jupyter-notebook machine-learning numpy pandas pickle python streamlit
Last synced: 12 Apr 2026
https://github.com/shibam120302/plant_deseases_prediction
Plant disease forecasting is a management system used to predict the occurrence or change in severity of plant diseases. At the field scale, these systems are used by growers to make economic decisions about disease treatments for control.
Last synced: 13 Apr 2026
https://github.com/erickarpovits/carbon-metrics-model
Investigation Of Covid’s Impact On Carbon Emission Rates In the United States
deep-learning numpy pandas python
Last synced: 18 Apr 2026
https://github.com/vidhi1290/ai-ml-cartoonifier
Welcome to Cartoonify, a fun and interactive project that converts real photos into cartoonified masterpieces! This project guides you through the entire process, from loading the image to displaying the final cartoon version.😛
bilateral-filter cartoonify-ai edge-detection matplotlib numpy opencv skimage tensorflow
Last synced: 30 Apr 2026
https://github.com/rekha0suthar/e-commerce-shopper-s-behaviour-understanding
Understand the online shopper purchasing pattern through Machine learning
data-analysis data-preprocessing data-visualization logistic-regression machine-learning numpy pandas python3 scikit-learn seaborn-plots
Last synced: 12 Apr 2026
https://github.com/bredalis/numpy
✨ Library to work with arrays ✨
arrays data matrix numpy numpy-arrays numpy-library python
Last synced: 06 May 2026
https://github.com/juanpablo70/pgad-exam
Midterm Exam Titanic data set
data-science dataframe dataset jupyter-notebook matplotlib numpy pandas python seaburn
Last synced: 17 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/abhishek010397/machinelearning-modeltraining
Machine Learning Model Training for Car Detection
keras-image-augmentation keras-image-classifier keras-tensorflow matplotlib numpy python3 rmsprop tensorflow2
Last synced: 30 Apr 2026
https://github.com/gandhasiri-rahul-mohan/random-forests-q2-company_data
About the data: Let’s consider a Company dataset with around 10 variables and 400 records.
data-science machine-learning numpy pandas python random-forest seaborn-plots
Last synced: 07 Apr 2026
https://github.com/mrhashemi/optimizers
Python implemntation of Conjugate Gradient method and Adam, and Broyden–Fletcher–Goldfarb–Shanno (BFGS) optimizers from scratch.
adam-optimizer bfgs conjugate-gradient numpy optimizer scipy
Last synced: 30 Apr 2026
https://github.com/surtecha/multi-physics-simulation-engine
A real world physics simulation application built with python
jax numpy physics pygame python scipy simulation
Last synced: 14 Apr 2025
https://github.com/srujayreddy/selling-laptops
Predicting whether users will click on a promotional email for laptops based on historical user data and browsing logs.
customer-behavior-analysis feature-engineering logistic-regression machine-learning marketing-analytics numpy pandas predictive-modeling scikit-learn
Last synced: 12 Apr 2026
https://github.com/nissanjk/linear-solver
A Python desktop application to solve systems of linear equations using various numerical methods.
anaconda3 fpdf imageio matplotlib numpy python3 tkinter
Last synced: 16 May 2026
https://github.com/tasninanika/mammographic-masses-analysis-dt
This project uses a Decision Tree Classifier to predict whether a detected mammographic mass is benign (0) or malignant (1) based on input features.
decision-tree-classifier numpy pandas pyhton3 scikit-learn
Last synced: 11 Apr 2026
https://github.com/sorna-fast/car-price-prediction-exercise-with-regression-model
Car price forecasting with one-variable, two-variable, three-variable, lasso, ridge, and elastic regression models
elastic-net grid-search-hyperparameters jupyter-notebook lasso-regression matplotlib numpy pandas pandas-dataframe pandas-python plotly regression regression-models ridge-regression
Last synced: 16 Mar 2025
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/bhattbhavesh91/tf-numpy-example
Faster NumPy using Tensorflow's tf.experimental.numpy module
Last synced: 01 May 2026
https://github.com/uea-geral/rna-perceptron-exercise
🤖Disciplina de RNA: treinamento de um neurônio Perceptron.
jupyter-notebook neural-network numpy perceptron python scikit-learn
Last synced: 13 Apr 2026
https://github.com/sralter/term_deposit_marketing
Predicting which customers will most likely purchase a type of financial product, achieving a time savings of over 93%.
matplotlib numpy optuna pandas seaborn sklearn
Last synced: 30 Apr 2026
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