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

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/shwetapardhi/assignment-1-q9_a--basic-statistics-level-1

Q9) Calculate Skewness, Kurtosis & draw inferences on the following data Cars speed and distance Use Q9_a.csv

kurtosis matplotlib-pyplot numpy pandas python seaborn skewness

Last synced: 05 May 2026

https://github.com/sahaavi/color-detection

Colour detection is the process of detecting the name of any color. Well, for humans this is an extremely easy task but for computers, it is not straightforward. Human eyes and brains work together to translate light into color. Light receptors that are present in our eyes transmit the signal to the brain. Our brain then recognizes the color. Since childhood, we have mapped certain lights with their color names. We will be using the somewhat same strategy to detect color names.

color-detection color-detector numpy opencv-python pandas

Last synced: 10 May 2026

https://github.com/burhanali2211/marksanalyzer

This is a simple CLI-based tool that helps analyze student marks by calculating key statistics such as the highest and lowest scores.

analysis analyzer arrays marks numpy

Last synced: 05 May 2026

https://github.com/dkm/stlsplit

Tool to split STL in several objects

numpy python stl

Last synced: 17 Jun 2026

https://github.com/prateekrajsrivastav/question-answering-model

This project is an NLP-based Question-Answering System that leverages machine learning and natural language processing techniques to provide answers to user queries based on a given context or dataset. The system processes textual input, extracts meaningful insights, and returns relevant answers to the user's question.

huggingface-transformers matplotlib nltk numpy pandas seaborn spacy

Last synced: 10 May 2026

https://github.com/sahu-sakshi/covid-19

A comprehensive data analysis project for COVID-19 pandemic data, featuring automated data collection, feature engineering, visualization tools, and exploratory analysis notebooks.

jupyter numpy pandas python3

Last synced: 05 May 2026

https://github.com/vc-nithesh944/pandas_numpy

Practice repository for NumPy & Pandas with scripts, notebooks, and notes for future revision

numpy pandas

Last synced: 05 May 2026

https://github.com/kbunwong/stock-price-prediction-using-lstm

This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.

google-colab jupyter-notebook keras-tensorflow lstm-model machine-learning matplotlib numpy pandas python visualization yfinance

Last synced: 05 May 2026

https://github.com/jupfu/beck-view-movie

Assemble mp4 video from list of images

multithreading numpy opencv python3 threadpool tqdm

Last synced: 10 May 2026

https://github.com/thomasa/python-intro

This is a Jupyter notebook slide show for a 2-hour crash intro to Python, NumPy, Matplotlib, and SciPy

matplotlib numpy python scipy tutorial

Last synced: 05 May 2026

https://github.com/elijahondiek/data-analysis-udacity

Udacity Data Analysis Nano Degree course resources

jupyter-notebook matplotlib numpy pandas python

Last synced: 05 May 2026

https://github.com/zafir100100/cancer-stage-prediction

This code predicts cancer data using various regression models, calculates their average R-squared scores, and prints the best model.

cross-validation data-analysis data-preprocessing decision-trees gradient-boosting linear-regression machine-learning-algorithms numpy pandas random-forest regression scikit-learn

Last synced: 05 May 2026

https://github.com/hitthecodelabs/petalanalyticsstreamlit

Web application developed with Streamlit that predicts the Iris flower type based on its physical features

matplotlib model numpy pickle python scikit-learn sklearn streamlit

Last synced: 05 May 2026

https://github.com/prakashjha1/email-sms-spam-classifier

Many email services today provide spam filters that are able to classify emails into spam and non-spam email with high accuracy.

machine-learning natural-language-processing numpy pandas python

Last synced: 10 May 2026

https://github.com/lohiyah/dataset_summariser

A Python tool for generating concise summaries of datasets using Pandas and NumPy for analysis, and Matplotlib and Seaborn for insightful visualizations. Ideal for quick exploratory data analysis (EDA).

matplotlib numpy pandas seaborn

Last synced: 05 May 2026

https://github.com/yenk/human-genomic-meta-analysis

Meta analysis of genomic studies to better understand if telomeres in the human genome are impacted by age from wild animals data.

linear-regression machine-learning matplotlib numpy scipy

Last synced: 05 May 2026

https://github.com/jjerphan/joml

A minimalist numpy-baked Neural Network API

deep-learning fun minimalist neural-network neural-networks numpy python wheel-implementing

Last synced: 10 May 2026

https://github.com/ranaessam03/climate-prediction

A machine learning project to predict rainfall using Decision Tree, k-Nearest Neighbors (kNN), and Naïve Bayes, with preprocessing, model evaluation, and custom kNN implementation.

decision-trees knn-classification machine-learning naive-bayes-classifier numpy sklearn

Last synced: 05 May 2026

https://github.com/tomdewildt/interactive-and-explainable-ai-design

Code for The Interactive And Explainable AI Design course of my master's degree

jupyter lime numpy pandas python scikit-learn shap

Last synced: 18 Jun 2026

https://github.com/tapas-gope/diwali-sales-analysis

Analyze Diwali Sales Data to improve customer experience and sales.

exploratory-data-analysis matplotlib-pyplot numpy pandas python seaborn

Last synced: 05 May 2026

https://github.com/jeslipriya/expense-tracker

This is a smart expense tracking web app built with Flask that helps users manage and visualize their spending. It features Pandas and Numpy analysis to suggest ways to cut down on unnecessary expenses, with clean UI, graph visualizations, and secure login.

css flask-application full-stack html matplotlib numpy pandas

Last synced: 05 May 2026

https://github.com/chdl17/marvelvsdc

This GitHub repository contains Python and Tableau for analyzing Marvel Vs DC superheros.

excel jupyter-notebook numpy pandas python tableau-public

Last synced: 05 May 2026

https://github.com/ahmedabdalkreem/airline_passenger_satisfaction

In this project, we work in machine learning project that show the satisfacion of customer from the service that have in airline this service make it like this experience or not.

decision-trees gradient-boosting knn logistic-regression machine-learning matplotlib naive-bayes numpy pandas preprocessing python random-forest svm visualization

Last synced: 05 May 2026

https://github.com/anushkundu/crime-pattern-analysis

Analyzing Crime Patterns in Montgomery County, USA: An Inclusive Study Based on NIBRS Data (2016-2022)

data-analysis data-visualization descriptive-statistics matplotlib numpy pandas python seaborn

Last synced: 05 May 2026

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

📖 About Customer Segmentation using KMeans clustering to analyze demographics, income, and spending. Helps businesses with targeted marketing and customer insights.

joblib matplotlib numpy pandas scikit-learn seaborn

Last synced: 05 May 2026

https://github.com/voidwalker7/mnist

MNIST Digit Detector Model using only Numpy

from-scratch-in-python mnist numpy python

Last synced: 05 May 2026

https://github.com/pramodyasahan/cifar-10-object-recognition

This repository contains a TensorFlow-based image classification model designed to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset comprises 60,000 32x32 color images in 10 classes, with 6,000 images per class.

convolutional-neural-networks numpy python tensorflow

Last synced: 05 May 2026

https://github.com/aathira2001/python-basics

Basic Python concepts with examples

functions numpy pandas python variables

Last synced: 05 May 2026

https://github.com/amruta33/lead_scoring_case_study

An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.

bagging linear-regression numpy pandas python3

Last synced: 05 May 2026

https://github.com/mahmood-anaam/grid-world-value-iteration

An implementation of the Value Iteration algorithm for solving the Grid World problem. This project provides a function to compute the optimal value function for a grid-based environment where a robot navigates to maximize rewards while avoiding penalties.

dynamic-programming grid-world numpy optimization-problem python value-iteration-algorithm

Last synced: 10 May 2026

https://github.com/Gregoritsch3/Exercise_Pandas_1

A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib,

data-cleaning data-visualization descriptive-statistics matplotlib numpy pandas scipy sympy

Last synced: 01 May 2025

https://github.com/supernovasatsangi23/modifying-biomarker-gene-identification-for-effective-cancer-categorization

A project that focuses on implementing a hybrid approach that modifies the identification of biomarker genes for better categorization of cancer. The methodology is a fusion of MRMR filter method for feature selection, steady state genetic algorithm and a MLP classifier.

dataset deep-learning deep-neural-networks feature-selection genetic-algorithm machine-learning machine-learning-algorithms mlp-classifier mrmr neural-network numpy pandas-dataframe python python3 scikit-learn scikit-learn-python tkinter-gui tkinter-python

Last synced: 05 May 2026

https://github.com/sofiakhutsieva/analytical_report_for_hr_department

Подготовка аналитического отчета (SQL) (Проект в skillbox), 2020 г.

analytics matplotlib numpy pandas psycopg2 seaborn sqlalchemy

Last synced: 06 May 2026

https://github.com/nxhawk/mln

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

decision-tree-classifier genetic-algorithm jupyter-notebook machine-learning-algorithms numpy pandas sklearn-library

Last synced: 06 May 2026

https://github.com/florasteve/ml-foundations-day2

Day-2 ML foundations: probability/stats refresh and NumPy logistic regression; notebooks with visuals.

data-science jupyter-notebook logistic-regression machine-learning matplotlib numpy statistics

Last synced: 10 May 2026

https://github.com/vikkiezdev/ai-global-index-analysis

This project analyzes the AI readiness of 62 countries using key indicators like government strategy, commercial activity, research, development, and infrastructure. Through data cleaning, EDA, and visualization, it identifies key drivers of AI adoption and competitiveness.

cleaning-data correlation-analysis eda matplotlib numpy pandas python3 seaborn statistical-analysis

Last synced: 06 May 2026

https://github.com/leavers/npblob

Transfer numpy array between Python and JavaScript losslessly

array javascript matrix numpy python streaming typescript

Last synced: 06 May 2026

https://github.com/shwetapardhi/assignment-1-q9_b--basic-statistics-level-1

Q9) Calculate Skewness, Kurtosis & draw inferences on the following data SP and Weight(WT) Use Q9_b.csv

kurtosis matplotlib-pyplot numpy pandas python seaborn skewness

Last synced: 06 May 2026

https://github.com/kashinathbiradar/bangalore-housing-price-prediction

The objective of the project is to create a machine learning model. We are doing a supervised learning and our aim is to do predictive analysis to predict housing price.

css deta doc html machine-learning matplotlib numpy pandas preprocessing seaborn sklearn sql

Last synced: 06 May 2026

https://github.com/abdelrahman-amen/active_learning_with_different_query_strategies

This project explores the implementation of active learning techniques, focusing on various query strategies to optimize the selection of informative data points for model training. It aims to reduce the amount of labeled data required while improving model performance, especially in scenarios with limited labeled data.

activelearning cuda entropy kldivergence margin numpy python pyto uncertainty

Last synced: 06 May 2026

https://github.com/ianjure/simple-neural-network

Implementing a simple neural network using only Numpy.

deep-learning neural-network notebook numpy scratch-implementation

Last synced: 06 May 2026

https://github.com/niteshchawla/loantap-logisticregression

Given a set of attributes for an Individual, determine if a credit line should be extended to them. If so, what should the repayment terms be in business recommendations?

confusion-matrix encoding feature-engineering featureimportance hyperparameter-tuning logistic-regression machine-learning numpy pandas-python precision-recall roc-auc-curve sklearn-metrics smote-sampling

Last synced: 10 May 2026

https://github.com/skorupcia/winequality-white

winequality-white.csv visualization

matplotlib numpy pandas seaborn sklearn

Last synced: 06 May 2026

https://github.com/yashpaneliya/bank-loan-default-analysis

Analyze and understand the driving factors (or driver variables) behind loan default, i.e. the variables which are strong indicators of default.

data-analysis loan-default-analysis matplotlib numpy pandas python

Last synced: 06 May 2026

https://github.com/shubhansu-kr/int213-python-programming

Python Programming | Semester 3 | Python | OOPS | Tkinter | Pandas | Numpy

lpu numpy oops-in-python pandas python sem3 tkinter-gui

Last synced: 10 May 2026

https://github.com/jatin-s16/neuron_from_scratch

Hey! I am learning to build neural networks from scratch without the use of built-in Python libraries.

deep-learning neural-networks nnfs numpy python

Last synced: 10 May 2026

https://github.com/charlenry/python_data_science

Mes notebooks de travaux pratiques sur Python pour la Data Science

analysis data dataframe jupyter kaggle matplotlib notebook numpy pandas pyplot python science seaborn visualisation

Last synced: 25 Jun 2026

https://github.com/susanketsarkar/nn-from-scratch

A pure NumPy implementation of a deep neural network, built for educational purposes and deep learning understanding. This project implements a multi-layer neural network with various features commonly found in modern deep learning frameworks.

deep-learning implementation-of-algorithms neural-network numpy python

Last synced: 10 May 2026

https://github.com/5hraddha/optimize-oil-well-locations

In the quest for harnessing valuable energy resources, the OilyGiant mining company wants to expand its operations by discovering new oil well locations. To achieve this, a data-driven approach is adopted, leveraging geological exploration data from three distinct regions and employing techniques in data analysis and modeling.

linear-regression numpy pandas scikit-learn supervised-learning

Last synced: 06 May 2026

https://github.com/velascort/image_equalizer_gui

Image equalizer using LUT interface.

image-processing lut numpy python scikit-image ttk

Last synced: 10 May 2026

https://github.com/tnleite/real-estate-opportunities-analysis

Este repositório apresenta uma análise de oportunidades no mercado imobiliário, combinando séries temporais, clusterização e previsões para identificar estados com maior potencial de crescimento e orientar estratégias de expansão eficientes.

catboostregressor cluster-analysis data-science kmeans-clustering lightgbm-regressor machine-learning-algorithms numpy regression-models scikit-learn xgboost-regression

Last synced: 10 May 2026

https://github.com/chopikus/raytracing-bench

Benchmarking ray tracers in Python, Java, Numpy, Cupy, Pypy

cupy java numpy pypy python raytracing

Last synced: 06 May 2026

https://github.com/coder5omkar/lendingclubcasestudy

Performed exploratory data analysis (EDA) on the loan dataset from the Lending Club Case Study to identify the key factors influencing loan defaults.

bivariate-analysis data-science exploratory-data-analysis matplotlib numpy pandas seaborn univariate-analysis

Last synced: 06 May 2026

https://github.com/relostar-devil/census-income-prediction

An end-to-end ML project using 1994 US Census data to classify income (>50K/<50K). The Jupyter Notebook covers data preprocessing, EDA, and model evaluation with multiple classifiers.

matplotlib numpy pandas scikitlearn-machine-learning seaborn

Last synced: 10 May 2026

https://github.com/deanlogan/data-analysis-course

Code created when completing the Data Analysis with Python Course on freecodecamp.org

course data-analysis numpy pandas python python3

Last synced: 06 May 2026

https://github.com/fazal-coder/capturing_img

python code for Creating blue color image

loop numpy opencv processing python scheduler threading

Last synced: 06 May 2026

https://github.com/cycle-sync-ai/student-score-analysis

A data-driven student performance analysis project using UCI dataset (396 students, 33 features). Implements machine learning models (K-means, PCA, Decision Tree, Random Forest, Linear Regression) to analyze academic patterns and predict student scores based on lifestyle, health, and study habits.

clustering clustering-algorithm decision-trees feature-engineering learning-management-system linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas pca pickle prediction prediction-algorithm scikit-learn score seaborn student

Last synced: 06 May 2026

https://github.com/naveen88112/genetic_algos_maze_solver

Genetic Algorithm Maze Solver This project utilizes a Genetic Algorithm (GA) to solve the optimization of a maze problem. It evolves the population of promising solutions to the best solution finding shortest path between start and end point using selection, crossover, and mutation.

deap-library genetic-algorithms matplotlib maze-solver numpy python

Last synced: 06 May 2026

https://github.com/albert-2002/robust-penalized-empirical-likelihood-estimation-method-for-linear-regression

Implementation for the paper titled: Robust Penalized Empirical Likelihood Estimation Method for Linear Regression

linear-regression machine-learning numpy pandas python regression regression-analysis statistics

Last synced: 06 May 2026

https://github.com/williyam-m/company-registration-trends

Utilized Linear Regression from scikit-learn to predict future company registration trends.

flask matplotlib numpy pandas-python scikit-learn

Last synced: 06 May 2026

https://github.com/jsnevt/regressao_logistica

Cálculos de probabilidades sobre uma eleição

matplotlib numpy pandas-dataframe python

Last synced: 11 May 2026

https://github.com/kavayk29/text-summarization-fine-tuning-pegasus-model

This project uses the Pegasus model to generate concise, coherent text summaries. Fine-tuned on large datasets, it excels in abstractive summarization, ideal for automating tasks like summarizing articles and research papers.

datasets huggingface-transformers matplotlib nltk numpy pandas teansform tqdm

Last synced: 06 May 2026

https://github.com/xanonymous-github/multimediax

The collections of class projects in Multimedia Technologies and Applications class, NTUT.

deep-learning machine-learning numpy opencv-python

Last synced: 06 May 2026

https://github.com/timeless-residents/handson-tensorflow-numpy

A practical guide to learning and using TensorFlow and NumPy for data manipulation and machine learning

data-science machine-learning numpy tensorflow tutorial

Last synced: 06 May 2026

https://github.com/dino-kupinic/pocolocosolver

algorithmic solution with 3D visualization

algorithms numpy panda3d puzzle pytest python solver

Last synced: 19 Jun 2026

https://github.com/prab9166/-web-content-extraction-and-sentiment-analysis-

web content extraction and sentiment analysis on URLs provided in an Excel file. Its divided into classes to manage different stages such as data loading, web scraping, text processing, sentiment scoring, and output generation

beautifulsoup lxml nltk-python numpy pandas python re requests xlsxwriter

Last synced: 06 May 2026

https://github.com/arn4/labtools

Package with useful scripts for Physics Laboratory Courses

numpy python3 scipy uncertainties

Last synced: 05 Jan 2026

https://github.com/sahilmate/gesturepainter

Virtual Painting Application

gesturepainter mediapi numpy opencv virtualpaint

Last synced: 06 May 2026

https://github.com/fatihilhan42/lane-line-detection-with-python

In this project you will detect lane lines in images using Python and OpenCV. OpenCV means "Open-Source Computer Vision", which is a package that has many useful tools for analyzing images.

image-processing line-detection numpy opencv python

Last synced: 06 May 2026

https://github.com/redinfinitypro/python-finance

Rating: (8/10) The code performs a linear regression analysis on stock data using the yfinance library, importing necessary libraries, selecting stock symbols, downloading data, fitting a model, making predictions, and visualizing results.

datetime matplotlib numpy pandas random sklearn yfinance

Last synced: 06 May 2026

https://github.com/zotho/grav_euler

Euler gravity compute

gravity numpy python

Last synced: 06 May 2026

https://github.com/saliola/nonnegative_integer_matrices

code to generate and count nonnegative integer matrices with prescribe row and column sums (aka contingency tables)

cython cython-examples numpy numpy-examples python3

Last synced: 18 Apr 2026

https://github.com/shreyasmehta05/sortsync

A custom sorting algorithm combining parallel merge and count sort, with detailed performance comparisons against standard sorting techniques.

c matplotlib numpy python3

Last synced: 04 Feb 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/adityarohatgi11/regression_analysis_london_crime

This project examines how police presence impacts crime rates in London using regression analysis, panel data, and a natural experiment from the 2005 London attacks.

data-wrangling numpy pandas regression-analysis statsmodels

Last synced: 11 May 2026

NumPy Awesome Lists
awesome-jax 218 awesome-data-analysis 936 awesome-ebooks 106 awesome-jax 149 awesome-mojo-max-mlir 181 awesome-numpy 32 practice-data-science-programming-projects 90
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Blogs 401 Libraries 239 ⚡ Productivity 101 🧠 AI Applications & Platforms 96 🐍 Python 91 Exercises 87 Models and Projects 74 📚 Skill Development & Career 67 🗃️ SQL & Databases 53 Tutorials and Blog Posts 53 🤖 Machine Learning & AI 52 📦 Additional Python Libraries 51 📝 More Awesome Lists 50 ☁️ Cloud Platforms & Infrastructure 46 📋 Cheatsheets 44 📊 Data Visualization 38 📈 Dashboards & BI 35 🎲 Statistics & Probability 34 Web 33 Videos 32