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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.

https://github.com/antonvagabond/maze

Operation and functionality of two mazes.

matplotlib maze numpy pillow python python3

Last synced: 08 Jan 2025

https://github.com/dina-hosny/explore-us-bike-share-data-project

Explore US Bike Share Data project - FWD Data Analysis Professional Track. In this project, I used Python to explore data related to bike share systems for three major cities in the United States and answer questions about it by computing descriptive statistics.

data-analysis data-science numpy pandas python

Last synced: 13 Jan 2025

https://github.com/avs123a/image-color-spaces-morphology-demo

Simple demo that shows extracting RGB and HSV channels, converting from RGB to HSV and reverse converting. There are 4 main morphological operations used: erosion, diletion, opening and closing image

demo image-processing jupyter-notebook numpy opencv python3

Last synced: 15 Jan 2025

https://github.com/manjillama/machine-learning-101

Introduction to machine learning, conda environment, Jupyter Notebook, Pandas, NumPy and Matplotlib.

conda-environment jupyter-notebook machine-learning matplotlib numpy pandas python

Last synced: 22 Jan 2025

https://github.com/ankushmallick1100/django-insurance-premium-predictor-web-app

This is a web app where a user can signup to the website first and then login to access the website. Then, he/she can give their age, select his/her gender, bmi, number of children, select whether he/she is a smoker or not, and select his/her region. Gradient Boosting Regressor is used in this project which gives the best accuracy of 89.798.

bootstrap bootstrap5 css django gradientboosting gradientboostingregressor html insurance-prediction insurance-premium-predictor machine-learning matplotlib numpy pandas python regression regression-models sklearn tailwind tailwind-css tailwindcss

Last synced: 08 Jan 2025

https://github.com/paulo-santos-ds/desenvolvimento_pocos_petroleo

Este projeto tem como objetivo desenvolver um modelo que possa prever o melhor local para a perfuração de poços de petróleo. Utilizando modelo de Machine Learning para poder prever o lucro de cada poço.

math matplotlib-pyplot numpy pandas python3 sklearn

Last synced: 08 Jan 2025

https://github.com/jparedesds/image-classification-multilabel

🪐 Identification characters in Futurama frames - Kaggle Competition 🥉3º position - ResNet152 & Keras/Tensorflow

imageio jupyter-notebook keras-tensorflow numpy pytorch resnet152

Last synced: 22 Jan 2025

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: 17 Jan 2025

https://github.com/harmanveer-2546/supply-chain

Supply chain analytics is a valuable part of data-driven decision-making in various industries such as manufacturing, retail, healthcare, and logistics. It is the process of collecting, analyzing and interpreting data related to the movement of products and services from suppliers to customers.

customer-segmentation-analysis data data-analysis data-cleaning data-insights ggplot2 numpy pandas performance-evaluation predictive-analytics-for-business python risk-assessment sales-analysis statistical-analysis supply-chain tidyverse trend-analysis

Last synced: 11 Jan 2025

https://github.com/harmanveer-2546/predicting-customer-churn-for-a-telecom-company

Customer churn is a significant issue for big business companies. Companies are attempting to create methods for predicting customer churn to get a direct impact on getting more revenues, particularly in telecom companies.

ann autoencoder churn-prediction customer-churn-prediction encoding mlp model-building-and-evaluation numpy os pandas standardization

Last synced: 11 Jan 2025

https://github.com/harmanveer-2546/diabetes-prediction-using-machine-learning

Diabetes is a medical disorder that affects how the body uses food for energy. When blood sugar levels rise, the pancreas releases insulin. If diabetes is not managed, blood sugar levels can rise, increasing the risk of heart attack and stroke. We used Python machine learning to forecast diabetes.

adaboost decision-trees gradient-boosting-classifier gridsearchcv knn-classification machine-learning numpy os pandas pickle python random-forest seaborn svc-model

Last synced: 11 Jan 2025

https://github.com/kirkalyn13/opensignal_autogenerate_report

Script used to generate results/summary, including the trends of flagged provinces, from the raw excel data file,

data-analysis data-science data-visualization matplotlib numpy pandas python

Last synced: 16 Jan 2025

https://github.com/sun-data/regridding

Numba-accelerated interpolation of NumPy n-dimensional arrays.

interpolation numba numpy python regridding resampling

Last synced: 17 Jan 2025

https://github.com/rickcontreras/simplex

Repositorio para la implementación del método Simplex utilizando Python. Incluye una interfaz gráfica de usuario (GUI) desarrollada con Tkinter y CustomTkinter, y herramientas para la visualización de datos con Matplotlib. Permite resolver problemas de programación lineal de manera interactiva.

customtkinter gui-application linear-programming matplotlib numpy optimization pandas python simplex-method tkinter

Last synced: 28 Jan 2025

https://github.com/jayakrishnagaddam/deep_sheild_

This is a Machine Learning applied Artificial intelligence project. Deepsheild is a cutting-edge deepfake detection system designed to safeguard the integrity of visual content in an era where synthetic media poses unprecedented challenges. Deepsheild stands as a robust fortress against the proliferation of manipulated videos and images.

artificial-intelligence bootstrap css cv2 deep-learning flask html machine-learning mongodb numpy tensorflow torch

Last synced: 11 Jan 2025

https://github.com/enjirouz/intelligentsystems

Expert systems examples: production type expert systems with direct and reverse logical conclusion; numpy perceptron; numpy neural network trained on logic AND operation; convolutional neural network for image recognition using cifar10 dataset and keras

cifar10 classification cnn convolutional-neural-network expert-systems image-classification image-recognition keras-tensorflow numpy

Last synced: 17 Jan 2025

https://github.com/yogeshselvarajan/real-estate-price-prediction

To predict the prices of the House (Estate) using the Number of Convenience Stores available in those areas using Simple Linear Regression

linear-regression machine-learning numpy simple-linear-regression sklearn

Last synced: 11 Jan 2025

https://github.com/hanzopgp/neuralnetworkfromscratch

This is a multi-layer perceptron build from scratch using numpy and python.

artificial-intelligence deep-learning machine-learning multi-layer-perceptron numpy personal

Last synced: 16 Jan 2025

https://github.com/hanzopgp/lstmcryptopriceprediction

TensorFlow LSTM neural networks which predict cryptocurrencies future prices. Starting from Sentdex's tutorial.

artificial-intelligence deep-learning lstm-neural-networks machine-learning matplotlib numpy personal recurrent-neural-networks tensorflow

Last synced: 16 Jan 2025

https://github.com/ivangael/openpose-prediction

Person's body parts or joint position detection using openCV

detection numpy opencv prediction prediction-model python

Last synced: 11 Nov 2024

https://github.com/m-rishab/credbet

A loan prediction web app which tells You that you are eligible for loan or not!

decision-tree-classifier matplotlib numpy pandas python scikit-learn

Last synced: 22 Jan 2025

https://github.com/m-rishab/research-paper-recommendation

This project aims to build a research paper recommendation system. Given a paper title as input, the system provides the top 5 recommended research papers.

deep-learning flask llm nlp numpy pandas python scikit-learn sentence-transformers tensorflow torch transformers

Last synced: 22 Jan 2025

https://github.com/m-rishab/housing-price-prediction

The Housing Price Prediction Accuracy Improvement project is a data-driven initiative focused on enhancing the precision and reliability of housing price predictions. This project encompasses a multidisciplinary approach, combining data science, machine learning, and real estate insights to optimize the accuracy of forecasts in the housing market.

gridsearchcv hyperparameter-tuning matplotlib matplotlib-pyplot numpy pandas pickle python3 randomforestregressor scipy sklearn

Last synced: 22 Jan 2025

https://github.com/codeantik/spam-ham-detector

A machine learning model to detect whether the mails are spam or ham

logistic-regression numpy pandas python sklearn

Last synced: 14 Jan 2025

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: 10 Jan 2025

https://github.com/drewstone/katz-centrality

Katz centrality of a wheelgraph

centrality graphs networks numpy

Last synced: 17 Jan 2025

https://github.com/nekruzash/machine-learning-decision-trees

This is from CS2023 - AI/DS/ML class, trained a machine learning model with heart disease data sets to predict a correlation using numpy and pandas.

jupyter-notebook numpy pandas python

Last synced: 16 Jan 2025

https://github.com/simranjeet97/quotes-analysis

Kaggle Dataset on Quotes Analysis and Visualization With Python, Pandas and MatplotLib Using Jupyter Notebook.

data data-science datavisualization jupyter-notebook kaggle kaggle-dataset machine-learning matplotlib-pyplot numpy pandas python quotes quotes-application

Last synced: 14 Jan 2025

https://github.com/simranjeet97/machine-learning

How to Setup Machine Learning Environment in Your PC or Laptop ? How to install Machine Learning Libraries ? How to Build ML Models, Algorithms and Other Stuff ??Your all Questions are answer here !!!!

algorithm deep-learning environment-configuration keras libraries machine-learning numpy pandas scipy tensorflow

Last synced: 14 Jan 2025

https://github.com/itzzmeakhi/investigate-tmdb-dataset

Tmdb dataset is taken to perform analysis. Messy data is cleaned by performing many steps like dropping null values and rising values and analyzing correlation among them using visualization techniques using matplotlib and seaboarn to derive the answers that i imposed during the early stages of analysis.

csv matplotlib numpy pandas python3 seaborn

Last synced: 28 Jan 2025

https://github.com/syedaanif/ds-ml-pyhton

This repo contains learnings about Data Science and Machine Learning using Python

artificial-intelligence data-science machine-learning matplotlib numpy pandas plotly python seaborn

Last synced: 16 Jan 2025

https://github.com/upul/indi

Small Machine Learning library written in Python

algorithms machine-learning numpy python scipy

Last synced: 19 Jan 2025

https://github.com/upul/chocolate-quality-analysis

This repository contains a Jupiter notebook which describes how to use basic machine learning tools such Scikit-Learning, Pandas, and Numpy for buiding models.

machine-learning numpy pandas predictive-analytics scikit-learn

Last synced: 19 Jan 2025

https://github.com/shliakhovai/numpy-neural-network

A simple neural network implemented from scratch using NumPy.

machine-learning neural-network numpy preceptron scikit-learn

Last synced: 12 Jan 2025

https://github.com/abhiramdodda/rainfall_prediction

Machine Learning model built on Telangana dataset cropped from Indian weather dataset merged with average temperature dataset

numpy pandas python3 scikit-learn scikitlearn-machine-learning

Last synced: 12 Jan 2025

https://github.com/devwithzain/tensorflow-learning

Learning Tensorflow

numpy tensorflow

Last synced: 12 Jan 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: 12 Jan 2025

https://github.com/aarryasutar/hate_speech_detection

This project aims to detect hate speech on Twitter using advanced NLP and machine learning techniques, exploring feature extraction methods like TF-IDF and sentiment analysis, and evaluating models such as Logistic Regression and SVM.

confusion-matrix doc2vec gensim logistic-regression matplotlib naive-bayes nltk numpy pandas python random-forest scikit-learn seaborn stemming stopwords-removal svm tf-idf-vectorizer tokenization vader word-cloud

Last synced: 12 Jan 2025

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

Last synced: 14 Jan 2025

https://github.com/gandhasiri-rahul-mohan/association-rules-2-my-movies

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-learning

Last synced: 14 Jan 2025

https://github.com/sarthak-1408/rain-fall-prediction

This repository represents the End to End Machine Learning Project (Rain Fall Prediction in Australia).

heroku heroku-deployment machine-learning numpy pandas rain-fall rain-fall-prediction scikit-learn xgboost-algorithm

Last synced: 16 Jan 2025

https://github.com/dudynets/numerical-methods-labs-tkinter

Labs for Numerical Methods course at Ivan Franko Lviv National University.

interpolation labs linear-algebra matplotlib numerical-methods numpy python tkinter university

Last synced: 22 Jan 2025

https://github.com/dudynets/numerical-methods-labs

Labs for Numerical Methods course at Ivan Franko Lviv National University.

angular docker fastapi interpolation labs linear-algebra material-ui matplotlib ngxs numpy python typescript university

Last synced: 22 Jan 2025

https://github.com/hacker-anakin/python-ai

This AI Python Jupyter Notebook project guides users through setting up, data manipulation with numpy/pandas, and upcoming advanced AI phases.

ai jupyter jupyter-notebook numpy python pythonai

Last synced: 22 Dec 2024

https://github.com/bredalis/numpy

✨ Library to work with arrays ✨

arrays data matrix numpy numpy-arrays numpy-library python

Last synced: 14 Jan 2025

https://github.com/hamidhosen42/a-graph-machine-learning

Graph-Machine-Learning. Graph Machine Learning provides a new set of tools for processing network data and leveraging the power of the relation between entities that can be used for predictive, modeling, and analytics tasks.

ipynb-jupyter-notebook machine-learning-algorithms mathplotlib numpy pandas python sklearn-library

Last synced: 12 Jan 2025

https://github.com/the-developer-306/house-price-predictor

House Price Predictor: Harnessing machine learning algorithms to forecast housing prices in Boston, empowering buyers and sellers with accurate predictions based on key factors like location, crime rate, rooms, accessibility, and more.

csv ipynb-jupyter-notebook joblib matplotlib numpy pandas python scikit-learn

Last synced: 12 Jan 2025

https://github.com/billgewrgoulas/hypothesis-testing-on-37-seasons-of-nba

First assignment for the course Data Mining @CSE.UOI

data-analysis data-science numpy scipy seaborn statistics

Last synced: 16 Jan 2025

https://github.com/sominw/cheatsheets

Useful cheatsheets for DS.

cheat-sheets cheatsheet numpy pandas probability

Last synced: 12 Jan 2025

https://github.com/prashver/titanic-survival-prediction

This project tackles the Titanic challenge on Kaggle, predicting passenger survival based on variables like age, sex, and passenger class. The Jupyter notebook covers essential steps of a data science pipeline, including exploratory data analysis, data cleaning, feature engineering, and modeling. The dataset used is the Titanic dataset.

classification-algorithm machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn

Last synced: 14 Jan 2025

https://github.com/mohd-faizy/learn_numpy

NumPy (short for Numerical Python) is a powerful Python library used for working with arrays, matrices, and numerical computations.

array-manipulations numpy numpy-arrays numpy-matrix numpy-neural-network numpy-python numpy-tutorial

Last synced: 13 Nov 2024

https://github.com/prathameshdhande22/data-visualization-tutorial

Repository Contains all the stuff required for Data Visualization. Numpy Tutorial, Pandas Tutorial, Matplotlib Tutorial, Seaborn Tutorial

data-visualization jupyter-notebook matplolib numpy pandas pandas-dataframe python seaborn tutorial

Last synced: 14 Jan 2025

https://github.com/isa1asn/line_following_robot_ros2

A line track follower robot with a camera sensor using ros2 and cv2

cv2 numpy opencv-python python3 ros2 ros2-humble sensor xacro

Last synced: 20 Jan 2025

https://github.com/abhilash1910/deepgenerator

Sentence Sequence Transduction Library (Seq to Seq) for text generation using sequential generative Vanilla RNN using numpy

adagrad generativemodeling nlp numpy optimizer rnn seq2seq-model transduction vanilla-rnn

Last synced: 22 Jan 2025

https://github.com/tejasvi541/machine-learning

My Machine and Deep Learning Practice and Projects Notebooks

matplotlib numpy python3 pytorch sklearn tensorflow

Last synced: 12 Jan 2025

https://github.com/cosama/vasapy

Vectorized Associative Arrays for Python

associative-array associative-map dictionary numpy python vectorized

Last synced: 22 Jan 2025

https://github.com/mirgis/sassy-sandbox

A diverse code collection encompassing Python, JavaScript, Julia, and others, providing a wealth of examples, experiments, and snippets.

android aws bokeh ipynb ipywidgets javascript julia kotlin matplotlib numpy playground python3 r sandbox scipy

Last synced: 17 Jan 2025

https://github.com/thaikoz/data-science

This repository contains various data science projects and exercises implemented in Python using Jupyter Notebooks. It is intended for educational purposes and to document my learning journey in data science.

numpy pandas python

Last synced: 22 Jan 2025

https://github.com/ryantusi/ai_ml_fundamentals

Welcome to my GitHub repository showcasing projects completed during the AI/ML Foundation course from Codecademy. This repository contains a collection of projects that demonstrate my skills and knowledge in the field of artificial intelligence and machine learning.

artificial-intelligence data-science data-visualization exploratory-data-analysis foundation machine-learning numpy pandas python

Last synced: 20 Jan 2025

https://github.com/kimpro82/myinvestmentmodules

Someday these will be an integrated trading system, but not now. So I am sad.

investment monte-carlo-simulation numpy python r vba xing-api

Last synced: 18 Jan 2025

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: 22 Jan 2025

https://github.com/rudrakshi99/movie-recommendation-system

Movie recommendation system using machine learning and predict user ratings for the movies.

dataframes machine-learning matplotlib numpy pandas seaborn

Last synced: 22 Jan 2025

https://github.com/akashshnkr/multi-disease-prediction

Developed and integrated three machine learning models for predicting diabetes, Parkinson's, and heart disease into a Streamlit-based web application. The interface allows users to input data and receive accurate health predictions, enhancing early detection and healthcare outcomes.

logistic-regression machine-learning-algorithms numpy pandas python scikit-learn streamlit-webapp svm

Last synced: 22 Jan 2025

https://github.com/lexxai/goit_python_ds_hw_08

Модуль 8. Глибоке навчання. Tensorflow.

classification data-science matplotlib minst numpy pandas python sklearn tensorflow

Last synced: 24 Jan 2025

https://github.com/faizantkhan/regression-project-bangalore-property-price-prediction

🏠 Bangalore Property Price Prediction is a comprehensive project designed to accurately predict property prices in Bangalore. Leveraging advanced regression techniques and a dataset sourced from Kaggle, the model undergoes meticulous feature engineering, data cleaning, and parameter tuning to ensure high accuracy.

backend-api css data-cleaning data-science data-visualization eda flask html javascript machine-learning-algorithms numpy pandas project project-repository property python regression-models server

Last synced: 15 Jan 2025

https://github.com/kostasereksonas/ids_test

Code for intrusion detection system based on "Intrusion Detection System Using Machine Learning Algorithms" tutorial on Geeksforgeeks and Intrusion Detection on NSL KDD Github repository.

ids intrusion-detection intrusion-detection-system nsl-kdd-dataset numpy pandas python scikit-learn tensorflow

Last synced: 16 Jan 2025

https://github.com/shriram-vibhute/data-analysis

This repository offers a comprehensive collection of data analysis techniques using NumPy Pandas, Matplotlib and Seaborn.

data-aggregation data-analysis data-visualization data-wrangling matplotlib numpy pandas seaborn

Last synced: 15 Jan 2025

https://github.com/shriram-vibhute/digit_classification

This project demonstrates various machine learning techniques for classifying handwritten digits from the MNIST dataset. It covers data preprocessing, model training, evaluation, and advanced classification strategies.

classification data-analysis data-visualization machine-learning matplotlib numpy pandas sk-learn

Last synced: 15 Jan 2025

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: 17 Jan 2025

https://github.com/mdaiyub/covid-19-detection

The emergence of Coronavirus Disease 2019 (COVID-19) in early December 2019 has caused immense damage to health and global well-being. Currently, there are approximately five million confirmed cases and the novel virus is still spreading rapidly all over the world. The chest X-ray images along with emerging Artificial Intelligence (AI) methodologies, in particular, Deep Learning (DL) algorithms have recently become a worthy choice for early COVID-19 screening. This work proposes a DL-assisted automated method using X-ray images for the early diagnosis of COVID-19 infection. We evaluate the effectiveness of the pre-trained Convolutional Neural Network (CNN) model. The model has been validated on publicly available chest X-ray images and it is obtained by CNN with an accuracy of 97.26%. This study will be useful for researchers to think about the design of more effective CNN-based models for early COVID-19 detection.

backend early-stopping global keras matplotlib modelcheckpoint numpy os pandas tensorflow

Last synced: 17 Jan 2025

NumPy Awesome Lists
awesome-jax 189 awesome-ebooks 106 awesome-mojo-max-mlir 181 awesome-numpy 32 practice-numpy-programming-courses 35
NumPy Categories
Blogs 132 Libraries 90 Summary 48 Videos 47 Models and Projects 45 Machine Learning 42 More Courses 32 Tutorials and Blog Posts 24 Web 21 Programming Language 19 Scientific Computation 17 Performance Benchmark 16 Community 13 Data Structure and Algorithm 12 Other 11 Database 8 GPU Programming 8 Materials 7 Image Processing 6 FFI Bindings 6