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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/sanchariii/health-assist-1

Health Assist web app uses the Streamlit framework to help users identify potential diseases. Simply input your symptoms, and the system will predict whether you have diabetes, heart disease, or Parkinson's disease. The system is designed to be quick and convenient, promoting early detection and timely medical intervention.

numpy pandas pickle streamlit-webapp svm-model

Last synced: 13 Aug 2025

https://github.com/bhaskarkulshrestha/rock-vs-mine-prediction

A machine learning project to predict whether an object detected underwater is a rock or a mine using Logistic Regression.

colab-notebook logistic-regression machine-learning numpy pandas python sckit-learn supervised-learning

Last synced: 05 May 2026

https://github.com/flexthink/matricize

A convenience library to convert between pure Python objects and their vectorized representations

data machine-learning numpy python

Last synced: 09 May 2026

https://github.com/amruta33/melanoma-detection

To build a CNN based model which can accurately detect melanoma. Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution that can evaluate images and alert dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis.

keras machine-learning numpy pandas python3 sckiit-learn tensorflow

Last synced: 09 Apr 2026

https://github.com/iamwatchdogs/retail-insights-from-superstore-data

An simple Data Analysis Project for finding insight within the Super store data set

conda-environment data-analytics jupyter-notebook matplotlib numpy pandas python

Last synced: 05 May 2026

https://github.com/mattmoony/ann_mnist

Simple self-written ANN powered by NumPy to classify handwritten digits of the famous MNIST Dataset. ✍️

adam ann deep-learning learning-algorithm machine-learning ml mnist mnist-handwritten-digits momentum neural-net neural-network normalization numpy regularization relu sigmoid tanh

Last synced: 09 Apr 2026

https://github.com/farial-mahmod/nuclear-energy-generation-prediction-logistic-regression

Nuclear Energy Generation Prediction Logistic Regression project is aimed at predicting the nuclear energy generation based on the production (generation) data from 1991 to 2023 by using Logistic Regression.

energy kaggle logistic-regression machine-learning matplotlib nuclear-energy nuclear-power numpy power python3 sklearn

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/nabilshadman/multiprocessing-time-series-data-simulation

A simulation using multiprocessing to generate 10,000 time dependent samples from an initial dataset of 20 samples

multiprocessing numpy pandas scipy simulation statistics time-series

Last synced: 05 May 2026

https://github.com/ishaj72/analysis_model2

Dataset analysis model using matplotlib and other libraries

machine-learning matplotlib numpy pandas

Last synced: 09 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/abdullahashfaqvirk/SMS-Spam-Detection

A machine learning application designed to classify SMS messages as spam or non-spam, offering real-time analysis to identify potentially harmful content.

css3 docker flask html5 javascript matplotlib nltk numpy pandas python scikit-learn seaborn tailwindcss xgboost

Last synced: 16 Aug 2025

https://github.com/13anush/python-libraries-

A collection of essential Python libraries—NumPy, Pandas, Matplotlib, and Seaborn—perfect for anyone starting out in data analysis.

data-analysis matplotlib numpy pandas python seaborn

Last synced: 05 May 2026

https://github.com/lruizap/tomography-with-algebraic-topology

This project aims to analyze images using algebraic topology. The goal is to extract structural information from images through mathematical concepts such as connected components and loops.

gudhi jupyter-notebook matplotlib numpy opencv python tomography

Last synced: 05 May 2026

https://github.com/saksham-21/data_analysis-on-hindustan-times-

Performed a proper NLP based analysis from the headlines, date published and the category of the news. Moreover created a interactive Dashboard on Tableau

beautifulsoup matplotlib numpy pandas tableau

Last synced: 05 May 2026

https://github.com/kingsley-ezenwaka/mean-var-std

This is a (mini) Python project, completed as part of the requirements for the Data Analysis with Python certification from freeCodeCamp.com.

numpy python

Last synced: 09 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/rayan-alam-uoit/space-x-launch-prediction-tool

A full-stack data science project analyzing SpaceX launch data using web scraping, REST APIs, SQL, interactive visualizations, and machine learning in Python to explore trends and predict launch success.

dash data-science folium jupyter-notebook machine-learning matplotlib numpy pandas plotly python seaborn sql sqlite

Last synced: 05 May 2026

https://github.com/lexxai/goit_python_ds_hw_03

Модуль 3. Класичне машинне навчання. Перенавчання. Лінійна регресія. LaTeX формули.

latex linear-regression matplotlib numpy pandas python scikit-learn

Last synced: 09 Apr 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/amr-yasser226/pagerank-power-method

Modular Python implementation of the PageRank algorithm via the power method, with discrete‑math foundations, end‑to‑end code, and experimental validation.

discrete-mathematics graph-algorithms markov-chain network-analysis networks numpy pagerank power-method python scipy

Last synced: 09 May 2026

https://github.com/brian-hepler-phd/kak-decomposition-qml

Cartan decomposition (SU(4)) via Lie theory and QML – exact + variational approaches for two-qubit gates.

lie-theory machine-learning numpy pennylane qml quantum-computing quantum-gate-decomposition scipy su4

Last synced: 09 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/ashraf-khabar/bank-marketing-data-analysis

This project is focused on analyzing bank marketing data using PyTorch, pandas, numpy, and scikit-learn. The goal is to build a predictive model that can help identify potential customers who are more likely to subscribe to a bank's term deposit.

data-cleaning data-science data-visualization dataset deep-learning deep-neural-networks feedforward-neural-network learning neural-networks numpy pandas python pytorch sklearn

Last synced: 09 Apr 2026

https://github.com/chaganti-reddy/heart_disease_prediction

Machine Model creation for Heart Disease Prediction

data-science deep-learning machine-learning numpy python

Last synced: 11 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/tasninanika/australian-credit-approval-analysis-svm

This project uses a Support Vector Machine (SVM) Classifier to predict whether a credit application is approved (1) or denied (0) based on applicant features.

numpy pandas python3 scikit-learn svm-classifier

Last synced: 10 Apr 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/rohra-mehak/sciencesync

System for Personalized Google Scholar Alerts Processing and Data Management, and provision of ML based clustering analysis

agglomerative-clustering clustering crossref-api customtkinter google-api google-scholar graph-api machine-learning numpy pandas python3 scientific-article-analysis scikit-learn sqlite3

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/muthupillai1204/diwali_sales_analysis

The Diwali sales analysis reviews past data to identify trends, peak buying times, popular products, and customer demographics. It assesses sales volume, revenue growth, and promotional effectiveness, helping businesses optimize marketing and inventory for future seasons.

data datacleaning eda excel jupyter-notebook matlplotlib numpy pandas python seaborn visualization

Last synced: 05 May 2026

https://github.com/nandinimarepalli/ai_ml_internship_projects

Projects completed during my AI/ML and Data Expert internship, including EDA, machine learning models, and dashboard development using Python, pandas, scikit-learn, and visualization libraries.

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 05 May 2026

https://github.com/sahaninilesh/future_ds_01_social-media-sentiments-analysis

The Social Media Sentiments Analysis Dataset captures a vibrant tapestry of emotions, trends, and interactions across various social media platforms. This dataset provides a snapshot of user-generated content, encompassing text, timestamps, hashtags, countries, likes, and retweets. Each entry unveils unique stories—moments of surprise, excitement,

jupyter matplotlib numpy pandas python

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/shaikats/python-assignment

Simulation and Modeling Lab assignments using Python, NumPy, Matplotlib, and Jupyter Notebook.

jupyter-notebook matplotlib numpy python simulation-modeling

Last synced: 09 May 2026

https://github.com/alphacrypto246/old-car-price-prediction

The Old Car Price Prediction project predicts used car prices using features like age, mileage, and fuel type. It includes data preprocessing, model training, and visualization of trends, with easy customization for additional features or models.

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 09 Apr 2026

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/nkamilla/titanic-eda

Exploratory Data Analysis of the Titanic dataset using Python (Pandas, NumPy, Matplotlib). Includes data cleaning, visualizations, correlations, and key business insights.

data-analysis eda jupyter-notebook matplotlib numpy pandas python titanic-dataset

Last synced: 05 May 2026

https://github.com/nahiyanhkhan/data-processing-and-visualization

Loan Data Processing using Python's numpy and pandas libraries. For data visualization, matplotlib and seaborn are used.

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

Last synced: 09 May 2026

https://github.com/kalwalt/pybind-test

A simple example with pybind and numpy with C++ code

cplusplus numpy pybind11 python

Last synced: 05 May 2026

https://github.com/baranwaljii/data-science-projects

This Repository contains projects related to the domain of data science based on python and jupyter notebook

data-science jupyter-notebook machine-learning numpy pandas python

Last synced: 09 Apr 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/sivasurya681/financial-expense-tracker

The Financial Expense Tracker is a Python-based app built with Flet, Pandas, NumPy, and Matplotlib.pyplot for seamless expense management. It enables real-time tracking, categorization, and data visualization through bar and pie charts. Users can generate summaries, export/import data, and make informed financial decisions easily.

calculator-application differntial expense-tracker flet matplotlib-pyplot numpy pandas python salary-calculator total

Last synced: 09 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/kmkurn/text2array

Python library to convert text dataset into arrays.

deep-learning natural-language-processing neural-networks numpy

Last synced: 14 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/iama02/vet-medicine-analysis

Analysis of 50,000+ veterinary medicine records with Pandas and NumPy, highlighting dosage forms, manufacturers, indications, and shelf life trends.

numpy pandas python

Last synced: 06 May 2026

https://github.com/frolov-andrey2405/mandelbrot-s-fractal

Mandelbrot's Fractal Constructions

numba numpy pygame python

Last synced: 06 May 2026

https://github.com/billgewrgoulas/recommendation-systems

Algorithms for joke rating prediction using the joke data-set from Kaggle.

algorithm clustering collaborative-filtering machine-learning numpy pandas recommender-system scikit-learn scypi

Last synced: 06 May 2026

https://github.com/mat-kubiak/manual-ml

DIY ML framework (using only NumPy!) + various demos

artificial-intelligence examples machine-learning ml ml-framework neural-networks numpy

Last synced: 06 May 2026

https://github.com/sankaran-s2001/us-traffic-accidents-analysis-python-eda

Exploratory data analysis of US traffic accidents from 2016-2023, analyzing patterns by time, location, weather, and severity using Python data science libraries.

data-analysis data-science data-visualization eda matplolib numpy pandas python

Last synced: 06 May 2026

https://github.com/erick957/saleprice-prediction-dataset-analysis-and-cleaning-advance-regression

🏠 Predict house prices using advanced regression techniques with this comprehensive analysis and cleaning project, from data loading to model deployment.

data-analysis data-science eda google-colab machine-learning numpy pandas python scikit-learn scikit-learn-python

Last synced: 06 May 2026

https://github.com/andrewsy1004/logistic-regression-spam-classifier

This project implements a spam email classifier using Logistic Regression.

numpy pandas scikit-learn

Last synced: 06 May 2026

https://github.com/parthds02/customer-segmentation-with-kmeans-clustering

Analyze customer behavior using Python and KMeans Clustering on transactional data. Features RFM analysis, data cleaning, clustering insights, and actionable visualizations to support business decision-making.

data-analysis data-visualization feature-engineering kmeans-clustering numpy pandas vscode

Last synced: 11 May 2026

https://github.com/khaymanii/credit-card-fraud-detection-model

This model was built using python and Logistic Regression Machine Learning algorithm

matplotlib numpy pandas python sckit-learn

Last synced: 09 May 2026

https://github.com/mikma03/datascience_python_datacamp

DataScience with Python. Code and examples. Python libraries, including pandas, NumPy, Matplotlib, and many more.

data-analysis data-science datacamp datascience numpy pandas python

Last synced: 06 May 2026

https://github.com/kunalpisolkar24/gradientdescent

A Python implementation of gradient descent for linear regression, visualized with cost function history, parameter trajectory, and a 3D cost surface.

cost-function gradient-descent numpy visualization

Last synced: 06 May 2026

https://github.com/omogbolahan94/google-play-store-app-analysis

Data exploration, data cleaning, interactive data visualisation and insight presentation

matplotlib numpy pandas plotly

Last synced: 11 May 2026

https://github.com/hajdu-patrik/nlp_music-mood-classifier_bme_hf

This project is a Python-based NLP system that analyzes song lyrics to determine their emotional profile and recommends similar songs.

nlp nlp-machine-learning numpy pandas python

Last synced: 10 Nov 2025

https://github.com/naveen88112/final_education

Student Performance Prediction This project examines the student performance data, pre-processes the features, and implements machine learning methods (Random Forest) for the forecasting of final grades. The data is subjected to exploratory data analysis (EDA) and feature engineering prior to model training and assessment.

data-preprocessing exploratory-data-analysis machine-learning model-evaluation numpy pandas python

Last synced: 11 Apr 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/jbalooshie/movies-etl

Exercise working with movie datasets from Kaggle and Wikipedia. Python is used to extract, clean, and combine the data, and then it is loaded into a postgreSQL database.

data-analysis data-science jupyter-notebook numpy pandas postgresql postgresql-database python sqlalchemy

Last synced: 11 Apr 2026

https://github.com/jminjares4/selected-areas-in-networks

Assignments for Selected Areas in Networks (EE 5390)

matplotlib network-analysis numpy pandas python

Last synced: 08 May 2026

https://github.com/ansh-info/industrial-scale-penicillin-simulation

Optimizing industrial-scale penicillin production using machine learning and data analysis.

jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/priyanshul28/exercise_pandas

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 matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/rakibhhridoy/differentprojects

Some of my learning projects that I practice to launch in data science. Not all, but some of few that was stored in my local repository. It can be useful for beginner data science enthusiast. Explore and learn!

data-science deep-learning machine-learning mathematics matplotlib numpy pandas python scikit-learn seaborn statistics

Last synced: 11 Apr 2026

https://github.com/amnydv17/landmark-detection

This project aims to leverage the power of deep learning models to automatically detect and pinpoint landmarks such as famous monuments, buildings, natural landmarks, and other recognizable structures within images.

machine-learning matplotlib numpy pandas python3 scikit-learn seaborn tensorflow

Last synced: 11 Apr 2026

https://github.com/aciluca/credit-approval-system

A machine learning application to predict credit card approval using Python, TensorFlow, and Docker.

data-science keras machine-learning numpy pandas python sklearn tensorflow

Last synced: 11 Apr 2026

https://github.com/iaroslavbelavskii/statkemapp

Here's the code for my 'StatKemApp' app, that can be used to calculate statistics for the experimental laboratory data (e.g. titration). Feel free to use it and report any bugs!

chemical-engineering chemistry matplotlib-pyplot numpy pandas python scipy

Last synced: 11 Apr 2026

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