Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

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/noeyislearning/github-history-of-scala

Explore the GitHub history of the Scala programming language, a versatile and powerful language known for its concise and elegant syntax. We will dive into the project's pull request data, analyze contributions, and visualize the development trends within the community.

data-science data-visualization datacamp-projects matplotlib numpy python3 seaborn

Last synced: 01 Feb 2025

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: 01 Feb 2025

https://github.com/tillahoffmann/idxhound

🐶 Track indices across one or more numpy selections.

data numpy scientific-computing

Last synced: 10 Feb 2025

https://github.com/reddyprasade/bicycle-sharing-system-in-us

A bicycle-sharing system, public bicycle system, or bike-share scheme, is a service in which bicycles are made available for shared use to individuals on a short term basis for a price or free. Many bike share systems allow people to borrow a bike from a "dock" and return it at another dock belonging to the same system. Docks are special bike racks that lock the bike, and only release it by computer control. The user enters payment information, and the computer unlocks a bike. The user returns the bike by placing it in the dock, which locks it in place. Other systems are dockless. For many systems, smartphone mapping apps show nearby available bikes and open docks.

dataanalysis jupyter maplotlib numpy pandas python r

Last synced: 10 Jan 2025

https://github.com/matheussc017/irisclassification_sklearn

Application of Machine Learning technique to classify 3 types of iris flower

data-science machine-learning numpy pandas python

Last synced: 13 Jan 2025

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 Feb 2025

https://github.com/yash-rewalia/stock-closing-price-prediction-using-regression

The ultimate business objective is to leverage the regression model to provide accurate predictions of the closing price of AMRN stock, enabling stakeholders to make well-informed investment decisions, manage risks effectively, optimize portfolios, Early warning systems to alert any fraud cases and align investment strategies with financial goals.

datapreprocessing eda hypothesis-testing machine-learning numpy pandas python random-forest regression regression-analysis statistics

Last synced: 12 Jan 2025

https://github.com/yukti-09/linear-regression

A small code for understanding linear regression.

linear-regression matplotlib mean-squared-error numpy

Last synced: 06 Feb 2025

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: 13 Feb 2025

https://github.com/ahasannn/multilevel_textual_emotion_classifier

Emotion detection from social media texts using machine learning algorithms.

anaconda jupyter machine-learning matplotlib nltk numpy pandas pip python scikit-multilearn scikitlearn

Last synced: 05 Jan 2025

https://github.com/bratergit/lastchancehackertoberfest

In the final hours of hacktoberfest 2024 your last chance to get a tee

hacktoberfest hacktoberfest-accepted hacktoberfest2024 numpy pandas python3 streamlit

Last synced: 31 Oct 2024

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: 06 Jan 2025

https://github.com/melihcanndemir/3d-fractal-explorer

Interactive 3D visualization tool for exploring the mesmerizing world of Mandelbrot and Julia fractals. Built with Python, OpenGL and PyQt5, offering real-time animation and intuitive controls.

3d-graphics complex-numbers computer-graphics data-visualization educational fractal graphics-programming interactive julia-set mandelbrot math-visualization mathematical-art mathematics numpy opengl pyqt pyqt5 python scientific-visualization visualization

Last synced: 05 Jan 2025

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: 11 Jan 2025

https://github.com/nomadsdev/pulse-detect

PulseDetect is a Python tool that detects audio frequencies in real-time. It captures sound from the microphone and identifies the dominant frequency using pyaudio and numpy

numpy pulse-detect pyaudio python scipy

Last synced: 01 Feb 2025

https://github.com/savitar-hub/image-classification

Notebooks on how image classification can help businesses make better decisions and improve the customer experience.

image-classification image-processing jupyter-notebook numpy opencv pandas pytorch tensorflow

Last synced: 16 Feb 2025

https://github.com/simran2911/restaurant_rating_pridiction

This github repository have restaurant rating analysis and understand what contributes to high or low ratings on the platform and how these insights can be leveraged for business decision-making.

jupyter-notebook machine-learning numpy pandas powerbi python sklearn statistics tableau

Last synced: 13 Feb 2025

https://github.com/Vice777/SAFE-HEART

Classify the chances of having a Heart Attack based on your Heart's Condition.

kaggle machine-learning matplotlib mlfromscratch mlp-classifier multilayer-perceptron-network numpy pandas pickle streamlit streamlit-webapp

Last synced: 23 Oct 2024

https://github.com/quentinwidlocher/cours-python-pandas

Jupyter Lab sur le traitement des données en python

jupyter-lab matplotlib numpy pandas python

Last synced: 01 Feb 2025

https://github.com/islamshahil/machinelearning

A Fun Project - Using LinearRegression, Predicting the Value.

hacktoberfest linearregression machine-learning numpy pandas python sklearn

Last synced: 26 Jan 2025

https://github.com/asanka-j/machine_learning_exercises

Machine learning Self study Python & R

matplotlib numpy pandas python r sklearn

Last synced: 05 Jan 2025

https://github.com/yashika-malhotra/micromobility-service-provider---hypothesis-testing

Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts

colab-notebook data-visualization eda exploratory-data-analysis hypothesis-testing jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-library scipy-stats seaborn skit-learn

Last synced: 14 Jan 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.

megasena numpy python

Last synced: 21 Jan 2025

https://github.com/kwanit1142/mask-v-s-no-mask-face-detection-models

Machine-Learning Models based Detection System for Masked v/s No-Masked Human Faces (Can be implemented on Grouped Images too)

deep-learning machine-learning matplotlib numpy opencv pandas pil scipy seaborn skimage sklearn

Last synced: 13 Jan 2025

https://github.com/nvinayvarma189/deep-learning-with-tensorflow

This repo consists all the basics of tensorflow and all major Deep Learning algorithms and techniques implemented in tensorflow. It will explain you the basics of tensorflow. You can visualize how tensors flow through a grapg while you create one

autoencoder cnn deep-learning gan matplotlib neural-network numpy pandas python3 reinforcement-learning rnn tensorflow

Last synced: 08 Feb 2025

https://github.com/carlthome/ipytoolbox

A collection of IPython magics and other utilities

ipython jupyter matplotlib numpy

Last synced: 10 Feb 2025

https://github.com/bl33h/relations

A program for relation analysis and matrix operations using numpy. It determines relation types and performs matrix computations.

discrete-mathematics matrix matrix-operations numpy python relations

Last synced: 21 Jan 2025

https://github.com/steventete/integral-app

IntegralApp is a Python-based GUI application designed to simplify the calculation of definite integrals using numerical methods.

desktop-app numerical-methods numpy pyqt5 python

Last synced: 02 Feb 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: 09 Feb 2025

https://github.com/completementgaga/npgui

This package implements Graphical User Interfaces from a NumPy user perspective.

graphical-user-interface gui numpy open-source python

Last synced: 13 Jan 2025

https://github.com/mikelane/neuralnetwork

A neural network implemented in python.

machine-learning matplotlib neural-network numpy python python3

Last synced: 24 Jan 2025

https://github.com/raihan4520/cvpr

Jupyter Notebook projects in Python coded during my Computer Vision and Pattern Recognition course at AIUB, focusing on core computer vision techniques.

computer-vision convolutional-neural-network emotion-detection face-mask-detection jupiter-notebook keras matplotlib numpy opencv pandas python tensorflow

Last synced: 14 Nov 2024

https://github.com/hansalemaos/cythonnestednumpy

performs sorting and grouping operations on multidimensional NumPy arrays using Cython and hash-based algorithms.

cython hash numpy sorting

Last synced: 01 Feb 2025

https://github.com/jayanthsd2003/dms_sarathi_-driver-monitoring_system-

This is a project which can be seen on TATA Trucks and other premium edition cars based and focussed on the safety and monitoring driver Consciousness state

dlib dlib-face-detection numpy opencv-python pygame python pyttsx3 scipy

Last synced: 10 Feb 2025

https://github.com/screamman-ssh/facemousecontrol

This project is about using your nose tip for the mouse's cursor and open your mouth for the left click.

autopy computer-vision face-detection mediapipe-facemesh mouse numpy opencv python python-3-7 ui

Last synced: 11 Jan 2025

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: 12 Jan 2025

https://github.com/dwarkadhish2005/house-price-predictor

Applied neural network for machine learning and done many analysis of data

keras matplotlib numpy pandas python seaborn sklearn

Last synced: 09 Feb 2025

https://github.com/affromero/pixelcache

A versatile image processing library for Python with built-in support for caching, using Pillow, NumPy, and PyTorch.

image-processing numpy opencv pillow pytorch torchvision

Last synced: 02 Feb 2025

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: 20 Jan 2025

https://github.com/prashver/customer-segmentation

This project utilizes unsupervised machine learning to segment bank customers for targeted marketing campaigns. It covers tasks like data exploration, determining optimal clusters, and applying k-means for segmentation. Ideal for marketing departments in banking and retail industries.

customer-segmentation matplotlib numpy pandas seaborn sklearn

Last synced: 14 Jan 2025

https://github.com/prashver/stock-price-prediction-lstm

Using Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM), this project predicts Nestle India stock prices. The dataset spans from May 18, 2018 to May 20, 2022, and results are visualized using matplotlib.

keras lstm-model matplotlib numpy pandas recurrent-neural-network

Last synced: 14 Jan 2025

https://github.com/prashver/salary-prediction-on-scraped-data

This tool predicts data science salaries by scraping Glassdoor job descriptions. Features quantify company valuation of key skills. Regression models include Multiple Linear Regression, Lasso Regression, and Random Forest. Random Forest outperformed others. Technologies/libraries used: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.

data-scraping machine-learning-algorithms matplotlib numpy pandas regression-models salary-estimator seaborn selenium selenium-webdriver

Last synced: 14 Jan 2025

https://github.com/hansalemaos/cythonfastsort

C++ parallel sorting algorithms through Cython - up to 8 times faster than NumPy

c cpp cython numpy parallel-computing parallel-programming python sorting

Last synced: 13 Jan 2025

https://github.com/rakibhhridoy/machinelearning-featureselection

Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.

extratreesclassifier feature-selection gridsearchcv lasso-regression logistic-regression machine-learning numpy pandas pca rfe rfecv scikit-learn selectkbest

Last synced: 17 Feb 2025

https://github.com/yeetooq/pivaldi_telegram_bot

An unofficial bot for the Pivaldi restaurant that provides easy access to the menu, order placement, and current promotions. Plus, enjoy entertainment features like games, cryptocurrency rates, jokes, weather updates, and more!

aiocache aiogram aiohttp aiosqlite beautifulsoup4 geopy numpy requests sqlalchemy

Last synced: 10 Feb 2025

https://github.com/Krisseck/hki-traffic-predict

Keras neural network to predict traffic in Helsinki

avoindata helsinki keras numpy open-data python traffic

Last synced: 22 Nov 2024

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 Feb 2025

https://github.com/lgeiger/mypy-einsum

MyPy Type Checking for NumPy/Jax/PyTorch Einsum Operations

deep-learning einsum jax mypy mypy-plugins numpy pytorch

Last synced: 10 Feb 2025

https://github.com/olutosinbanjo/direction_field

Plotting a Direction Field with Python (Intel® DevMesh Project)

cloud devcloud dpctl dppy heterogeneous-computing high-performance-computing intel intel-xpu numba numpy python3

Last synced: 05 Nov 2024

https://github.com/cusyio/datenverarbeitung-mit-numpy

Kurs zum Schreiben und Optimieren eigener Programme zur Datenverarbeitung mit Numpy.

numpy

Last synced: 07 Jan 2025

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: 07 Dec 2024

https://github.com/kiritoind/neural-network-for-cat-image-classification

This script defines essential functions for constructing a deep neural network from scratch for image classification. It includes activation functions like sigmoid and ReLU, data loading from H5 files, parameter initialization, forward and backward propagation for training, gradient descent for parameter updates, and functions for prediction

classification computer-vision deep-learning deep-neural-networks jupyter-notebook numpy python

Last synced: 05 Jan 2025

https://github.com/yash22222/terrorist-activity-forecasting-and-risk-assessment-system

In an era marked by global security challenges, the "TAFRAS" emerges as a cutting-edge solution to tackle the ever-evolving threat of terrorism. The project is grounded in the urgent need for predictive systems that can anticipate, assess, and mitigate potential terrorist activities.

corpora data-vizualisation folium-maps gensim global-terrorism-database lda machine-learning matplotlib networkx nltk nmf numpy pandas python random-forest-classifier seaborn sklearn spacy textblob vader-sentiment-analysis

Last synced: 05 Jan 2025

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: 14 Jan 2025

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: 05 Jan 2025

https://github.com/yash22222/data-analysis-with-python

This repository provides a practical introduction to data acquisition and analysis using Pandas. It covers loading datasets, exploring data, manipulating data, and gaining insights through statistical summaries. Ideal for beginners, it offers code examples and explanations to enhance your data manipulation skills using Pandas for Python.

binning data data-acquisition data-analysis data-binning data-cleaning data-formatting data-integration data-normalization data-preprocessing data-science data-transformation data-wrangling dataframe description numpy pandas pandas-dataframe python python3

Last synced: 05 Jan 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: 17 Feb 2025

https://github.com/furk4nbulut/veri-bilimi-ve-makine-ogrenmesi

This repository showcases the process and insights I have gained in the fields of data science and machine learning.

data-science keras machine-learning numpy pandas python tensorflow

Last synced: 10 Jan 2025

https://github.com/mattdelaune/saas_cohort_analysis

This project analyzes customer segmentation and behavior using data science and cohort analysis. Key metrics like CRR, NRR, CLR, and CLV are examined through detailed charts, including the cohort layer cake and CLR vs. CLV cost efficiency analysis. Exploratory Data Analysis and systematic data manipulation reveal actionable insights.

anaconda git jupyter-notebook matplotlib numpy pandas python saas-data sales-data sales-data-analysis-project seaborn

Last synced: 30 Dec 2024

https://github.com/rakibhhridoy/imageprocessing

Large amount of image processing is quite messy and time consuming,thus the working steps should be fast as well as accurate also. I've made sequential functions that is needed for processing data in TensorFlow and python. These functions made my work fast as it needed in commercial purposes.

augmentation deep-learning functional-programming image-manipulation image-processing keras machine-learning numpy python sequential-patterns tensorflow

Last synced: 17 Feb 2025

https://github.com/christophercrouzet/nani

Alternative approach to defining and viewing NumPy's arrays.

dtype nani numpy view wrap

Last synced: 20 Jan 2025

https://github.com/michael-insights/portfolio

This repository showcases my projects and skills in Data Analytics, Data Science, and Machine Learning. It includes hands-on work in data analysis, predictive modeling, and machine learning algorithms, aimed at solving real-world problems.

data-analytics data-science data-visualization datapreprocessing jupyter-notebooks machine-learning matplotlib numpy pandas predictive-modeling python scikit-learn sql

Last synced: 17 Feb 2025

https://github.com/emperoryp7/covid-simulator

Application simulating the spread of COVID-19

covid-19 numpy pandemic-simulator python3 simulator

Last synced: 06 Jan 2025

https://github.com/danhenriquex/data-science-project

The main goal of this project was to apply the concepts of data visualization and analysis.

data-analysis data-science numpy pandas python

Last synced: 14 Jan 2025

https://github.com/rakibhhridoy/easywaydiveinto-datascience

Data Science is not as easy as it seems at first. The most problem faced by new learner are lack of resource knowledge as well as confusion in using the various resources. I hope this repository will benefit confusion learner.

algorithms algorithms-implemented bayesian-statistics data-science deep-learning deep-neural-networks linear-algebra machine-learning matplotlib multivariate-calculus numpy optimization pandas python scikit-learn scipy seaborn statistics statsmodels tensorflow

Last synced: 17 Feb 2025

https://github.com/ayoubelmortaji/analysis-and-detection-of-threats-in-cloud-environments-with-machine-learning

Developed a machine learning-driven threat detection model for cloud environments, utilizing Random Forest (RF) and Decision Tree (DT) algorithms. Focused on analyzing network activities and identifying suspicious behaviors through Security Information and Event Management (SIEM) systems. Enhanced cloud security by addressing key challenges in dete

cloud-computing machine-learning matplotlib numpy pandas python scikit-learn seaborn siem

Last synced: 01 Feb 2025

https://github.com/moataz-elmesmary/analog-clock-opencv

Computer vision project implemented with OpenCV

computer-vision cv2 numpy opencv

Last synced: 20 Jan 2025

https://github.com/moataz-elmesmary/genomics-project

Web App depends on ML in Detecting diabetes in its early stages so that doctors can treat it. Also the web site includes some important information about the disease and its symptoms. Check it out for more details.

diabetes-prediction flask frontend-app numpy pandas random-forest sklearn

Last synced: 20 Jan 2025

https://github.com/hansalemaos/cythonflatiter

Locates values in NumPy Arrays with Cython

cython isin iter numpy

Last synced: 15 Feb 2025

https://github.com/nitsc/spell-from-threebodytrilogy

Implemented the process of extrapolating from Gaia stellar data, to 3D visualizations, to three-views, to three-view signals, to three-view audio of signals, and even their inversions. This project proves the feasibility of the Logic (Luoji)'s “spell” from “The Three Body Problem” trilogy.

3d 3d-graphics astronomy astronomy-astrophysics audio audio-processing data data-science data-visualization gaia graph information-technology information-visualization numpy python python-3 python3 signal signal-processing visiualization

Last synced: 10 Feb 2025