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/ksprugevics/magic-square

Some simple algorithm implementations for solving (ordinary) magic squares using NumPy

algorithms mathematics numpy python

Last synced: 21 Apr 2026

https://github.com/chandkund/predicting-diabetes-onset

The "Predicting Diabetes Onset" project aims to build a machine learning model that predicts whether an individual has diabetes based on various health-related features. The dataset used for this project includes attributes related to medical history and physical measurements.

deep-learning numpy pandas python seaborn sklearn-library sklearn-metrics visualization

Last synced: 13 Apr 2026

https://github.com/armahdavi/data_analytics_statistics_plotting_pm_airborne_sampling

All codes for the data pipelines processing, statistical modellings, descriptive statistics and plot visualizations from airborne phase of Mahdavi et al. (2021) (Environmental Pollution) Project Miestone: 2018 - 2021

data-science data-visualization machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats statistics

Last synced: 13 Apr 2026

https://github.com/hilarionengarejr/movie-recommender-app

Sentiment analysis on user reviews for movie recommendations using Content Based Filtering.

docker flask nltk numpy pandas python3 scikit-learn selenium

Last synced: 10 Apr 2026

https://github.com/anarya22/accenture-north-america-data-analytics-and-visualization-job-simulation-on-forage

Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture. Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions. Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.

analyzing-visualization data-cleaning data-visualization numpy pandas powerbi powerpoint-presentations

Last synced: 09 May 2026

https://github.com/athari22/investigating-netflix-movies-and-guest-stars-in-the-office

Apply basic Python skills in Introduction to Python and Intermediate Python by processing and visualizing film and television data.

data-analysis data-science data-visualization loop loops matplotlib matplotlib-pyplot netflix numpy office pandas python

Last synced: 11 Apr 2026

https://github.com/dmarks84/coursework_project_text-mining-topic-modeling

Project for University of Michigan Applied Data Science Specialization -- Developed functions to score similarity between text passages.

data-modeling data-reporting data-visualization databases eda nlp numpy pandas python statistics text-mining

Last synced: 12 Apr 2026

https://github.com/caterinatasinato/python-projects

Projects I worked on as Trainee in Data Analytics at ProfessionAI

matplotlib numpy pandas python3

Last synced: 13 Apr 2026

https://github.com/tharushiimasha/python-practice

This repository contains Python programs and exercises from practice sessions. It covers Python basics, file handling, and libraries like NumPy and pandas for data manipulation.

api-integration csv-files file-handling json-files jupyter-notebook numpy oops-in-python pandas python web-scraping

Last synced: 13 Apr 2026

https://github.com/darshanpakhale250-gif/customer-churn-prediction-ml

A machine learning project to predict customer churn using regression and classification models including logistic regression, decision tree, and random forest. Performed EDA, visualizations, and model evaluation. The dataset is taken from Kaggle and implemented in Google Colab.

colab-notebook customer-churn-analysis data-science decision-trees kaggle logistic-regression machine ml numpy pandas python random-forest

Last synced: 13 Apr 2026

https://github.com/debjyotisaha/data-analytics-projects-phase-1

A set of projects on Data Analysis using Python and its libraries

matplotlib numpy pandas python seaborn sklearn streamlit

Last synced: 13 Apr 2026

https://github.com/badranalyst/tips-dataset-analysis-dashboard-with-streamlit-and-plotly

Interactive Streamlit dashboard analyzing the Seaborn 'tips' dataset, which records information on restaurant bills, including total bill amounts, tips, customer demographics (e.g., gender, smoking status), and dining details (e.g., day, time). Visualized with Plotly for insights into tipping patterns.

data-analysis data-analytics data-visualization dataset eda exploratory-data-analysis matplotlib matplotlib-pyplot numpy pandas plotly python seaborn streamlit

Last synced: 13 Apr 2026

https://github.com/annygutierrez/bank-ann

Basic Artificial Neural Network

keras matplotlib numpy pandas sklearn

Last synced: 13 Apr 2026

https://github.com/anujdutt9/language-model-using-rnn

Text Generation using basic RNN from scratch using Python and Numpy.

language-model numpy python rnn text-generation

Last synced: 08 May 2026

https://github.com/somyaaaaaa2004/travelling-sales-man-problem

This project is a soft computing-based solution to the Traveling Salesman Problem (TSP) using a Genetic Algorithm (GA), implemented entirely from scratch in Python on Google Colab. The goal of the TSP is to find the shortest possible route that visits each city exactly once and returns to the starting point. It's a classic NP-hard combinatorial

genetic-algorithm jupyter-notebook matplotlib-pyplot numpy pandas python travelling-salesman-problem

Last synced: 06 May 2026

https://github.com/charanpool/image-patch-mapping

A Python toolkit for image processing — edge detection, template matching, and patch detection using OpenCV

canny-edge-detector computer-vision edge-detection image-processing numpy opencv python sobel-filter template-matching

Last synced: 18 Jan 2026

https://github.com/vedanty3/supermarket-sales-data-analysis

This project contains data visualization techniques (using pandas and matplotlib) to explore different aspects of supermarket sales data of 3 months.

data-analysis data-science jupyter-notebook matplotlib numpy pandas python

Last synced: 08 May 2026

https://github.com/abideen-olawuwo/nyc-taxi

Prediction the duration of New York Taxi trip

linear-regression matplotlib numpy pandas python seaborn sklearn

Last synced: 11 Apr 2026

https://github.com/nikhilsree5/netflixcasestudy

Global Content Strategy: Leveraging Data Insights to Optimize Netflix's International Growth

eda numpy pandas python visualization

Last synced: 13 Apr 2026

https://github.com/alex1iv/asr_ru_numbers

Automatic Speech Recognition (ASR) system for Russian digits

audio-processing librosa numpy speech-recognition tensorflow

Last synced: 13 Apr 2026

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

A fraude de cartão de crédito é uma forma comum de fraude que afeta milhões de pessoas em todo o mundo. Essa fraude pode ter consequências graves, tanto para as vítimas quanto para as instituições financeiras que emitem os cartões de crédito.

math matplot numpy pandas python3 sklearn

Last synced: 13 Apr 2026

https://github.com/jessicahora/series_temporais

Análise de Series Temporais do Consumo de Energia da Alemanha.

numpy pandas python time-series-analysis

Last synced: 07 Apr 2026

https://github.com/naveen88112/clustering_customer_invoice_data

Customer Invoice Data Clustering This project uses clustering methods on customer invoice data for segmentation analysis. It preprocesses data, normalizes features, and uses K-Means and DBSCAN to cluster customers according to spending habits and shared locations.

clustering data-preprocessing data-visualization numpy pandas python silhouette-score standardization

Last synced: 13 Apr 2026

https://github.com/mayankmittal29/algovision-statistical_methods_in_ai

Implementation of various machine learning algorithms from scratch, including Linear Regression, K-Nearest Neighbors, Decision Trees, and K-Means clustering. Also done EDA on data, Implemented LSH, IVF, SLIC algorithms also with evaluation metrics

decision-tree-classifier eda gradient-descent image-segmentation ivf knn-classification linear-regression lsh-implementation matplotlib-pyplot numpy pandas python3 seaborn sgd-optimizer sklearn slic-superpixel-algorithm

Last synced: 11 Apr 2026

https://github.com/vishal815/python-based-flight-data-scraping-automating-data-collection-for-analysis

This project is a Python-based web scraping script designed to extract flight details from the Yatra travel website. The extracted data includes flight pricing, origin, destination, departure and arrival times, and duration. The data is then saved into a CSV file for further analysis.

beautifulsoup flight-data-analysis flight-data-visualization numpy pandas pyhton pyplot scraping scraping-python seaborn selenium vishal-lazrus vishallazrus webscraping webscraping-projects

Last synced: 18 Apr 2026

https://github.com/max134/deepplate

A custom-trained YOLOv11-based license plate detection with PaddleOCR for accurate ANPR.

computer-vision cv2 deep-learning image-recognition licesnse-plate-recognition numpy object-detection ocr paddleocr real-time-processing sqlite3 ultralytics yolov11

Last synced: 13 Jul 2025

https://github.com/animesh-chourey/loan-classifier

Trained machine learning algorithms (Logistic Regression, KNN, SVM, Decision Tree) specifically, after performing visualization and pre-preocessing tasks on a loan dataset. Executed the evaluation metrics such as F1-score, Log loss and jaccard-similarity score to assess the algorithms performance.

decision-tree f1-score jaccard-similarity knn logistic-regression logloss matplotlib numpy pandas preprocessing-data svm

Last synced: 06 May 2026

https://github.com/tatmorenno/python_para_data_science

Python para Data Science Introdução à linguagem e Numpy 🌎💻

jupyter-notebook numpy python

Last synced: 13 Apr 2026

https://github.com/a-parida12/numericalmethods

Teaching Material for Workshop for Engineering Students

numpy ode pde python3

Last synced: 13 Apr 2026

https://github.com/subhas-pramanik-09/car-detection-and-counting

This project counts the number of cars passing through a designated line in a video file using OpenCV and background subtraction techniques.

machine-learning numpy object-detection opencv

Last synced: 13 Apr 2026

https://github.com/amir0234-afk/housing-price-prediction-dnn

Keras + NumPy baselines for housing price regression

keras numpy regression

Last synced: 13 Apr 2026

https://github.com/v41bh4vr4jput/python---numpy

A collection of hands-on examples, exercises, and projects to master NumPy — the fundamental package for numerical computing in Python. This repository is perfect for beginners and advanced learners looking to explore array manipulation, mathematical operations, and high-performance data analysis.

numpy python3

Last synced: 20 Apr 2026

https://github.com/chandkund/wine-quality-prediction

This project predicts wine quality based on physicochemical properties using machine learning models. By leveraging Random Forest Classifier, Logistic Regression, and SVM, the goal is to classify wines into quality categories and uncover the key factors that influence wine quality.

logistic-regression matplotlib numpy pandas-python random-forest-classifier svm-classifier

Last synced: 01 May 2026

https://github.com/harmanveer-2546/credit-card-fraud-detection

The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.

ann catboost-classifier eda lightgbm machine-learning matplotlib neural-network numpy pandas python random-forest seaborn xbg

Last synced: 13 Apr 2026

https://github.com/chmohit91/introduction-to-python

A comprehensive collection of Python programming resources, from basics to advanced concepts. Built for learners, by learners

matplotlib numpy pandas plotly python python-library python3 seaborn

Last synced: 13 Apr 2026

https://github.com/tromesh/attendance-predictor

Student Attendance predictor for Scheduling lecture sessions

matplotlib numpy pandas tensorflow

Last synced: 05 May 2026

https://github.com/n1k1f0rm/ml-predicts

Place where you can find in transparent way how ML algos works

machine-learning ml numpy python

Last synced: 21 Apr 2026

https://github.com/dbriane208/python-for-data-science

Machine Learning and Data Science repository. Love crafting Machine Learning models.

data-analysis data-science data-visualization machine-learning numpy pandas python seaborn

Last synced: 13 Apr 2026

https://github.com/shivamkumar818/mbti-personality-prediction-from-text-data

MBTI Personality Prediction from Text Data This project leverages machine learning to predict Myers-Briggs Type Indicator (MBTI) personality types based on textual data, specifically from social media posts.

confusion-matrix correlation-matrix data-visualization dataset knn-classification linear-regression logistic-regression modeltraining navebayes numpy pandas python

Last synced: 13 Apr 2026

https://github.com/iv4n-ga6l/GenderDetection

Gender detection using gender classification model

genderclassification genderdetection numpy pil python resnet18 torch torchvision

Last synced: 28 Apr 2025

https://github.com/harmanveer-2546/finding-you-next-perfect-house

In this exploratory data analysis, we compare a dataset which consists of various features about renting of houses available on these renting platforms listed by owners of these houses, and try to derive some constructive conclusions by performing Descriptive statistics of the available features.

adaboostregressor decisiontreeregressor exploratory-data-analysis house-price-prediction inline linearregression matplotlib numpy onehotencoder pandas plotly python randomforestregressor renting seaborn standardscaler xgbregressor

Last synced: 13 Apr 2026

https://github.com/saro0307/exploratory-data-analysis-terrorism

Phase 1 of Data Science project (program) to perform Exploratory Data Analysis on Terrorism using Python On Google Colab for Coderscave Internship sept 2023

colaboratory data-analysis datascience machine-learning numpy pandas python seaborn skit-learn visualization

Last synced: 13 Apr 2026

https://github.com/dummumounika/ecommerce-sales-categorization

This repository contains Python code for text classification and analysis of e-commerce sales data. The script processes textual descriptions of products and categorizes them into predefined categories using a Naive Bayes classifier. It also includes various analysis and visualization methods to explore the dataset.

machine-learning matplotlib-pyplot ntlk numpy pandas python scikit-learn

Last synced: 13 Apr 2026

https://github.com/eny2930/ai-ml-projects

A project demonstrating various libraries and tools in using algorithms in machine learning. This repository includes code samples, datasets, and detailed explanations.

iris-dataset keras linear-regression logistic-regression matplotlib numpy pandas pytorch sckiit-learn seaborn sentiment-analysis

Last synced: 13 Apr 2026

https://github.com/pramodyasahan/spaceship-titanic

This repository features a machine learning model designed to predict whether passengers of a space travel company are likely to be transported. The model employs CatBoostClassifier, a machine learning algorithm known for handling categorical data effectively.

machine-learning numpy pandas python scikit-learn

Last synced: 13 Apr 2026

https://github.com/shwetapardhi/assignment-05-multiple-linear-regression-2

Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t

collinearity-diagnostics cooks-distance correlation-analysis eda heteroscedasticity homoscedasticity leverage-score multi-linear-regression numpy ols-regression p-value pair-plot python r-square-values regress-exog residual-analysis smf statsmodels vif

Last synced: 09 May 2026

https://github.com/shwetapardhi/assignment-03-q2--hypothesis-testing

Anova ftest statistics A hospital wants to determine whether there is any difference in the average Turn Around Time (TAT) of reports of the laboratories on their preferred list. They collected a random sample and recorded TAT for reports of 4 laboratories. TAT is defined as sample collected to report dispatch. Analyze the data and determine wheth

annova ftest hypothesis-testing numpy pandas python scipy significance-testing stats

Last synced: 11 Apr 2026

https://github.com/saraasgari99/videoclassificationusingdeeplearning

ML pipeline for biological video analysis using cutting-edge CNN architectures and industry-standard data processing and ML techniques

computer-vision data-processing keras-tensorflow machine-learning numpy sklearn tensorflow

Last synced: 13 Apr 2026

https://github.com/udacity-machinelearning-internship/support-vector-machine

Implementing SVM's using pandas and sklearn in python

numpy pandas sklearn support-vector-machines svm

Last synced: 13 Apr 2026

https://github.com/rajan-bhateja/data-analysis-with-python

Cleaning, analysis and visualization on various datasets using Python and its various libraries via Jupyter Notebook

data-cleaning data-science jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 30 Apr 2026

https://github.com/ot-code/coca-cola-stock-prediction

This repo compares four predictive models—Linear Regression, ARIMA, XGBoost, and LSTM—to forecast Coca‑Cola FEMSA stock closing prices using Python and five years of historical data.

arima csv linear-regression lstm-neural-networks mae matplotlib mse numpy pandas python r2 scikit-learn seaborn tensorflow-keras xgboost

Last synced: 13 Apr 2026

https://github.com/aritrakar/ai-projects

🤖A centralized collection of links to my AI projects roughly divided by topic.

numpy pandas python pytorch tensorflow

Last synced: 13 Apr 2026

https://github.com/abhisek-13/whatsapp-chat-analyzer

The WhatsApp Chat Analyzer is a data analysis project that provides insights into WhatsApp chats. It analyzes chat data to show metrics like the number of lines, most used letter, chatting duration, media files shared, most used emojis, and group member activity. The results are displayed on a user-friendly dashboard built with Streamlit.

data-analysis data-mining data-visualization eda machine-learning machine-learning-algorithms matplotlib numpy pandas python seaborn sklearn

Last synced: 13 Apr 2026

https://github.com/5hraddha/eda-instacart-customers-shopping-habits

In this Exploratory Data Analysis (EDA) project we'll clean up the data and prepare a report that gives insight into the shopping habits of Instacart customers.

data-visualization exploratory-data-analysis instacart matlpotlib numpy pandas

Last synced: 13 Apr 2026

https://github.com/thanhloc81/rfm-model-project

✨ Build a flow to deploy Segmentation evaluation through Python programming.

customer-segmentation numpy pandas python rfm-analysis

Last synced: 03 May 2026

https://github.com/thinker84/real-time-stock-price-prediction-and-market-analysis-using-machine-learning

Real-time stock price prediction app using LSTM, Streamlit, and historical data (2010–2023). Forecasts next 10 days & visualizes trends.

data-science django lstm machine-learning numpy pandas pandas-datareader scikit-learn stock-market stock-price-prediction stooq streamlit yahoo-finance yahoo-finance-api

Last synced: 13 Jul 2025

https://github.com/jcm-ai/robust-mlops-elevating-machine-learning-to-production-scale

This project aims to address the challenge faced by the Office of Foreign Labor Certification in managing a high volume of job certification applications for employers seeking to hire foreign workers in the United States. By leveraging ML models, this project seeks to streamline the process of shortlisting visa applicants based on historical data.

aws-ec2 aws-ecr aws-s3 cicd-pipeline data-science docker-image end-to-end exploratory-data-analysis git github-actions html machine-learning-models mlops mlops-project model-deployment mongodb numpy pandas python yaml

Last synced: 09 Apr 2026

https://github.com/moonshallow5/solar-system-simulation

A solar system simulation using the Beeman scheme and the Euler method

matplotlib-animation matplotlib-pyplot numpy

Last synced: 13 May 2026

https://github.com/geetu040/fetcher

AI GAME: We have a random maze and 2 agents at random places. You control the Fetcher and find the way through the maze to get ot the target. You can automate the Fetcher to use trained models that help Fetcher fetch the target by itself. The models are based on deep neural networks, implemented by tensorflow and Keras API. The models are so efficiently trained, they find ways through the maze without hitting the walls and have an accuracy of more than 99%

artificial-intelligence css deep-learning html javascript jupyter-notebook machine-learning matplotlib neural-networks numpy python sklearn tensorflow web-design

Last synced: 13 Apr 2026

https://github.com/dmarks84/coursework_project_network-analysis-node-link-prediction

Project for University of Michigan Applied Data Science Specialization -- Analyzed network nodes and edges, developing custom features based on various scoring metrics; used features to train classifier model to predict node attribute (employee salary type) and future edges (employee connections)

classification cross-validation data-reporting databases eda grid-search matplotlib network-analysis numpy pandas python scikit-learn statistics supervised-ml visualization

Last synced: 13 Apr 2026

https://github.com/fabriziomusacchio/ann_with_numpy

A how-to for building an artificial neural network from scratch using NumPy

ann artificial-neural-networks neural-network numpy

Last synced: 08 May 2026

https://github.com/singhvishal003/brain_stroke_prediction

Brain Stroke Prediction according to age and Health Condition.

matplotlib numpy pandas sklearn

Last synced: 13 Apr 2026

https://github.com/marianoviola/reim

🕸️ A Computational Framework for Inferring System Truth from Distributed Noisy Observations

fastapi numpy pandas python3 scipy

Last synced: 11 Jun 2026

https://github.com/nyx1311/toxicity-detector-using-bilstm

🚀 What we built: An AI-powered Women’s Safety & Well-Being Detector — a web app that flags multiple forms of online abuse in real time and offers tools for emotional recovery. 📊 Under the hood: BiLSTM + Word2Vec embeddings for deep, context-aware detection Trained on 21K+ labeled comments across 7 toxicity categories Built with Python, Tensor

epoch genism gpu keras-tensorflow matplotlib model nlp nlp-machine-learning nlpaug-textual numpy pandas pandas-library python3 streamlit tensorflow word2vec

Last synced: 14 Apr 2026

https://github.com/hilalozdemirbuyukasik/deep-learning

A collection of deep learning projects demonstrating RNNs, BiLSTMs, CNNs, and basic neural networks applied to time series forecasting, text sentiment analysis, image classification, and tabular data tasks, with examples of data preprocessing, model training, evaluation, and visualization.

bilstm cnn keras matplotlib nn numpy rnn scikit-learn tensorflow

Last synced: 12 Apr 2026

https://github.com/lesiaukr/mathematic_for_cs_colab_hw

Master's degree | HW | Mathematics for Computer Science course | Homeworks

goit google-colab home-works latex linear-algebra mathematics-for-computerscience matrices numpy python vectors

Last synced: 13 Apr 2026

https://github.com/ediloaz/linear-regression-with-lists-numpy-and-pytorch

This was done like the homework #01 of Machine Learning Course, of Computer Science Master.

arrays-raw jupyter-notebook machine-learning numpy python pytorch

Last synced: 13 Apr 2026

https://github.com/abhinavraj009/x_ray-conversion-csv-

To convert an X-ray image into a CSV format for machine learning or data analysis, you'll typically want to represent the image as numerical pixel values.

machine-learning numpy opencv pandas python

Last synced: 13 Apr 2026

https://github.com/waghraj1699/codeclauseinternship_crop_disease_identification

Crop Disease detection app,it predicts wheather the given image of crop has disease or not.

cnn deep-learning machine-learning numpy pandas transfer-learning

Last synced: 13 Apr 2026

https://github.com/mmerlyn/analysis-of-tomato-prices

Forecasting tomato prices in Karnataka using machine learning to help farmers make better crop planning and selling decisions.

css flask html matplotlib numpy pandas python scikit-learn seaborn

Last synced: 06 Jul 2025

https://github.com/bkellmayer6/pybelikov

Efficient high-precision computation of fully normalized associated Legendre functions (fnALFs) using the Belikov recurrence algorithm

fully-normalized-associated-legendre-functions geodesy gravity-field legendre-functions mathematics numba numpy python scientific-computing spherical-harmonics

Last synced: 14 Jan 2026

https://github.com/harshs472/real-time-object-detection

Real time object detection that detects approximately 80 objects!!!!

coco numpy python yolov3

Last synced: 27 Apr 2026

https://github.com/suap-dev/python-essentials

a repository intended for people who want to know some python basics

lambda-functions numba numpy oop pandas teaching

Last synced: 17 Mar 2025

https://github.com/hansalemaos/a_pandas_ex_split_on_common_char

Splits the elements in a Series using a common separator character and returns a DataFrame.

numexpr numpy pandas separator split string

Last synced: 14 Jan 2026

https://github.com/patex1987/ghcn-temperature-dataset

Analysis of GHCN (Global Historical Climatology Network) temperature dataset using Numpy

climate-data jupyter-notebook numpy python temperature-data

Last synced: 10 May 2026

https://github.com/soumyapro/hand-tracking-volume-controller

This project leverages computer vision and machine learning to interpret hand gestures and movements, enabling interaction with volume device of your pc without the need for physical controllers.

mediapipe numpy opencv-python pycaw time

Last synced: 13 Apr 2026

https://github.com/kostadinlambov/time-series-forecasting

This project evaluates the predictive performance of a CNN-LSTM Hybrid deep learning model for Bitcoin price movement prediction.

keras-tensorflow matplotlib-pyplot mlflow numpy optuna pandas python scikit-learn seaborn statsmodels ta-lib tensorflow

Last synced: 07 Apr 2026

https://github.com/disney35/stock-prices-dashboard

A dashboard to analyze, predict, and visualize stock prices using Python & LSTM

ema jupyter-notebook keras macd matplotlib-pyplot mfi numpy pandas python rsi scikit-learn sma streamlit tenserflow yfinance

Last synced: 12 Apr 2026