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/avin27/credit-card-fraud-detection

A python script to analyse credit card data to detect fraudulent transactions

data-science numpy pandas sklearn

Last synced: 10 Apr 2026

https://github.com/bagusperdanay7/fcc-da-mean-variance-standard-deviation-calculator

One of Data Analysis with Python (freecodecamp) task, created a Mean Variance Standard Deviation Calculator.

data-analysis freecodecamp-project numpy python

Last synced: 06 May 2026

https://github.com/cyberoctane29/epa-air-quality-aqi-analysis

This project involved analyzing air quality data from the EPA, focusing on the Air Quality Index (AQI). I used Python data structures like dictionaries and sets to manage and process the data, simulating real-world data analysis to assess pollution levels and their health implications.

data-analysis numpy pandas python statistics

Last synced: 10 Apr 2026

https://github.com/thaisgarcia/convert-censo-file

Este repositório contém scripts Python para processar dados destinados ao censo do MEC, incluindo a leitura de um arquivo TXT, a geração de um arquivo Excel e a conversão desse arquivo Excel de volta para um formato de texto.

numpy pandas python

Last synced: 11 Apr 2026

https://github.com/guptamudit/whatsapp-chat-analyser

Created an online Whats App chat analysis tool which is designed to extract valuable insights from your group or one-on-one conversations. By analyzing your chat data, WhatsChat provides detailed statistics and visualizations.

matplotlib numpy pandas python seaborn

Last synced: 11 Apr 2026

https://github.com/ashishsingh789/titanic_dataset_eda_and_visualization

This repository contains an exploratory data analysis (EDA) of the Titanic dataset. Key analyses include survival rates by gender, passenger class, age distribution, family size, and correlation heatmaps.

data data-science dataanalysis matplotlib numpy pandas pandas-dataframe python seborn visualisation

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

https://github.com/snghrsw/kikagaku-ml-learning

Pythonで単回帰分析と重回帰分析、ディープラーニングで回帰と分類

liner-regestion multiple-regression numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/zhanziyuan/pixelpuzzle-web

Encode/decode images using Base64 or shuffle/recover the pixels of images.

anime encryption image image-processing numpy python

Last synced: 11 Apr 2026

https://github.com/samuele-lolli/data-analytics-techniques

A practical approach to data analytics pipeline.

numpy pandas pytorch scikit-learn

Last synced: 11 Apr 2026

https://github.com/1adityakadam/uber_data_analytics

End to end Google Bigquery + Looker Studio Data Analytics Project Transforming NYC Taxi Data into Actionable Intelligence

bigquery looker-studio mage-ai-pipeline numpy pandas sql

Last synced: 13 Apr 2026

https://github.com/amiriiw/text_classification

Welcome to the Text Classification Project! This project is designed to train a model for classifying texts based on their emotional content and then using it to categorize new texts into corresponding emotional categories.

keras numpy pandas pickle scikit-learn tensorflow text-classification

Last synced: 20 Jan 2026

https://github.com/pranavsuriya-sr/e-hub_energysystems

Python based Web Application for analysis and visualization of concepts in Energy Systems.

css energy-systems-analysis html javascript matplotlib numpy python schemdraw streamlit

Last synced: 11 Apr 2026

https://github.com/shubhamahobia/lstm-hamlet

The LSTM Next Word Prediction project trains a model on Hamlet to predict the next word in a sequence. After preprocessing the text, an LSTM network learns patterns in the language. The trained model can then generate text by predicting the next word in a given sequence, with its accuracy evaluated to ensure it effectively models the language.

deep-learning github hamlet lstm lstm-neural-network lstm-neural-networks machine-learning neural-network nltk numpy pandas pickle python

Last synced: 11 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/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/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/csengupta1101/netflix-rating

The project revolves around Netflix shows and movies around the world. The problem statement that is being tried to address here is that what kind of show to come up with in future times and how well that will fit with the audience

jupyter-notebook matplotlib movies netflix numpy pandas plotly python python3 rating tvseries

Last synced: 13 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/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/ksganni/diabetes-prediction-using-machine-learning

🔬 A machine learning project that predicts diabetes likelihood using patient health metrics and multiple classification algorithms.

jupyter-notebook matplotlib numpy pandas python scikitlearn-machine-learning seaborn

Last synced: 28 Apr 2026

https://github.com/chernyakid/bank-clients-churn-research

Анализ оттока клиентов в Метанпромбанке

jupyter numpy pandas python scipy seaborn

Last synced: 11 Apr 2026

https://github.com/anshpg/vectorwave

The Jupyter Notebook (ipynb file) contained within this repository serves as the primary codebase for this project. It demonstrates how to preprocess the input data, train the logistic regression classifier, evaluate its performance, and save the trained model for future use.

collab jupyter-notebook matplotlib-pyplot numpy pandas python sklearn

Last synced: 11 Apr 2026

https://github.com/linsanity03/football_prediction

ML project to predict goal from football events such as penalty, free kick.

jupyter-notebook numpy pandas pyspark python3 tensorflow

Last synced: 11 Apr 2026

https://github.com/nirmaldeepponnada/codeclauseinternshipproject1

This project involves Customer Segmentation using K-Means clustering to group customers based on Recency, Frequency, and Monetary (RFM) analysis from the Online Retail dataset. It also performs Sentiment Analysis on Amazon Product Reviews using Natural Language Processing techniques & Logistic Regression to classify reviews as positive or negative.

kmeans logistic-regression numpy pandas python3 regular-expressions scikit-learn tf-idf-vectorizer

Last synced: 11 Apr 2026

https://github.com/richardbmk/datascience_machinelearning

projects related with data science and machine learning projects.

data-science machine-learning matplotlib numpy pandas scikit-learn scipy seaborn

Last synced: 11 Apr 2026

https://github.com/sadegh15khedry/housing-prices-prediction-using-randomforest

This repository contains an implementation of random forest model to predict housing prices using the Boston Housing dataset.

csv joblib jupyter-notebook matplotlib numpy pandas pil python random-forest seaborn sklearn

Last synced: 27 Feb 2025

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/elmezianech/email-spam-ham-classifier-nb-hard

Naive Bayes Email Classifier: An implementation of a 'hard' Naive Bayes classifier in Python to categorize emails as spam or ham. This code performs extensive data preprocessing, probability calculations, and model training for email classification using the raw Naive Bayes algorithm.

ai emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering

Last synced: 11 Apr 2026

https://github.com/thorbeorn/epsi-m1-datamanagement-etude-de-cas

Ce projet implémente une chaîne complète de traitement de données RH après fusion d’entreprise

dashboard duckdb epsi etl kaleido numpy pandas plotly python pyyaml

Last synced: 11 Apr 2026

https://github.com/supreme-gg-gg/beam-analysis

Fast, customisable, intuitive web application to simplify beam analysis. Certified by Bob the Builder.

civil-engineering matplotlib numpy python streamlit structural-analysis

Last synced: 11 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/pvlbzn/datascience

Learning data science 🤓

data-science numpy pandas

Last synced: 09 May 2026

https://github.com/adamouization/python-machine-learning-data-science-notes

:orange_book: Jupyter notebooks containing useful Python code and notes for general Machine Learning and Data Science projects.

data data-science data-visualization guide jupyter jupyter-notebook machine-learning matplotlib notes numpy pandas pandas-dataframe python seaborn

Last synced: 11 Apr 2026

https://github.com/batthulavinay/which-anime-dominates-the-world

This Kaggle notebook analyzes the global popularity of anime across different countries. Using data visualization and statistical insights, we explore which anime dominate in various regions and uncover trends in global anime consumption.

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

Last synced: 24 Mar 2025

https://github.com/adi3042/diamond-price-prediction

🔮💎 Explore the Diamond Price Oracle! Predicting diamond values based on your preferences and market trends. Your ultimate tool for informed decisions in the diamond world. Join us for the future of pricing! 💎✨🚀 #DiamondPredictor

anaconda datetime diamond flask functools html ipykernel jupytrnotebooks matplotlib numpy pandas price-prediction readme regression sckiit-learn setuptools venv

Last synced: 09 Apr 2026

https://github.com/aaaastark/textclassification-nlp-project

Dataset preparation, Feature Engineering, Model Building, Summary Statistics, Data Exploration by Visualizations, and Save File CSV

matplotlib nltk numpy pandas python seaborn sklearn textblob wordcloud

Last synced: 11 Apr 2026

https://github.com/hariprasath-v/av-dataverse-hack---insurance-claim-prediction

Create a machine learning model to predict if the policyholder will file a claim in the next 6 months or not based on the set of car and policy features.

analyticsvidhya classification exploratory-data-analysis f1-score matplotlib numpy pandas python randomforest-classification scikit-learn seaborn shap

Last synced: 11 Apr 2026

https://github.com/lorenzorottigni/dl-lending-club

Deep Learning python bootcamp: deep learning on Lending Club dataset

deep-learning ipynb keras machine-learning numpy pandas python scikit-learn seaborn tensorflow

Last synced: 11 Apr 2026

https://github.com/nikhil-donthusaram/heartdiseaseprediction

Heart Disease Prediction App is a machine learning web application that predicts the likelihood of heart disease based on user medical inputs. Built using a Decision Tree Classifier and deployed with Streamlit for an interactive, user-friendly interface.

data-analysis descision-tree joblib jupyter-notebook machine-learning matplotlib numpy pandas python3 seaborn sklearn streamlit vscode

Last synced: 11 Apr 2026

https://github.com/jagroop2001/learning-numpy

Learning NumPy complete the exercise

numpy pandas python

Last synced: 16 May 2025

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/arnauog/ironhack_data_analytics

Weekly labs to practice everything taught in class during the Data Analytics bootcamp of Ironhack in Barcelona of Sept 2024 - March 2025.

machine-learning mongodb mysql numpy pandas python seaborn tableau webscraping

Last synced: 11 Apr 2026

https://github.com/amandeep-gupta19/chatbot

Created a custom chatbot using Langchain. Here's a summary of what I did: Data Extraction: I gathered data about technical courses from the Brainlox website using Langchain’s URL loaders. Embedding Creation & Storage: I converted this data into embeddings and stored it in a vector store for efficient searching. API Development: I built a Flask

data-extraction faiss-vector-database flask-restful langchain numpy scikit-learn vector-database webbaseloader

Last synced: 09 Apr 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/pb319/california_house-price-prediction

This is going to be my first end to end ML project implementation covering all required stages taking guidence from book called "Hands On Machine Learning".

evaluation-metrics hyperparameter-tuning jupyter-notebook kfold-cross-validation machine-learning matplotlib numpy pandas python scikit-learn seaborn train-test-split

Last synced: 11 Apr 2026

https://github.com/broodhoney/titanic-ml-from-disaster

This repository contains my analysis and solutions for the Titanic: Machine Learning from Disaster competition on Kaggle. The notebook explores the dataset, performs extensive Exploratory Data Analysis (EDA), applies feature engineering techniques, and builds predictive models to determine survival outcomes based on passenger data

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

Last synced: 11 Apr 2026

https://github.com/mjshubham21/ny_yellow_taxi_python_da_project

A data analysis project of New York Yellow Taxi (Feb of 2025) using Python and its libraries for analytics like : NumPy, MatPlotLib, Pandas and Seaborn.

data-analysis jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 04 May 2026

https://github.com/yelypk/nasa-farm-navigators

NASA Space Apps Challenge Hackathon

fastapi javascript numpy phaser postgresql python railway

Last synced: 11 Apr 2026

https://github.com/junaidsumsaal/advanceparkingsystem

Its a web application that integrates AI-powered parking spot predictions, real-time notifications, and role-based dashboards for Drivers, Attendants, and Providers. This system is designed to streamline parking operations, enhance user experience, and leverage machine learning for future availability predictions.

axios-react chakra-ui-react data-science met metrics ml numpy pand python3 react sklearn tailwindcss typescript

Last synced: 11 Apr 2026

https://github.com/kersh1337228/tradenv

Trading strategies testing environment based on open stock market data

django django-rest-framework numpy pandas python react stock-market typescript

Last synced: 11 Apr 2026

https://github.com/moustafamohamed01/car-price-prediction

Car Price Prediction using Linear Regression A machine learning model that predicts car prices based on features like name, company, year, kilometers driven, and fuel type. Built with Linear Regression and deployed as a Streamlit web app.

data-science jupyter-notebook linear-regression machine-learning numpy pandas python sickit-learn sklearn streamlit

Last synced: 11 Apr 2026

https://github.com/ayushtiwari134/machine_learning_models

A repo where i upload all the models which i train during my journey of learning Machine Learning from scratch

linear-regression logistic-regression machinelearning matplotlib numpy pandas python random-forest scikit-learn

Last synced: 11 Apr 2026

https://github.com/dmarks84/coursework_project_text-mining-spam-analysis

Project for University of Michigan Applied Data Science Specialization -- Performed NLP in order to build features of email messages; trained various classification models to help predict if a message was spam.

classification databases eda nlp numpy pandas python scikit seaborn sentiment-analysis statistics supervised-ml text-mining unsupervised-ml visualization

Last synced: 11 Apr 2026

https://github.com/reubenmathew/docscanner

📸 Document Scanner using an OpenCV Edge Detection Engine

flask numpy opencv python

Last synced: 11 Apr 2026

https://github.com/kaguya163/marketing_campaigns

Анализ маркетинговой эффективности в спортивном ритейле.

ab-testing machine-learning matplotlib numpy pandas python scikit-learn scipy sqlite3

Last synced: 11 Apr 2026

https://github.com/nauxqouh/python-for-data-science-labs

This repo contains weekly practical codes for my Python for Data Science course at university.

data-science jupyter-notebook numpy pandas python pytorch scikit-learn

Last synced: 11 Apr 2026

https://github.com/vansh-py04/convolution-net-from-scratch

A minimal NumPy-based implementation of a 3-layer convolutional neural network (CNN) from scratch — including custom forward and backward passes for conv, ReLU, pooling, affine, and softmax layers. Perfect for learning how CNNs actually work under the hood.

backpropagation cnn computer-vision convolutional-neural-networks cs231n cs231n-assignment deep-learning from-scratch from-scratch-in-python fully-connected-network machine-learning maxpool2d nueral-networks numpy softmax stanford-deep-learning

Last synced: 24 Apr 2026

https://github.com/dyarleniber/hands-on-machine-learning

This repository contains code examples, exercises, and projects related to the concepts covered in the book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition" by Aurélien Géron.

ai artificial-intelligence keras machine-learning matpolotlib numpy pandas scikit-learn tensorflow

Last synced: 11 Apr 2026

https://github.com/sudarsann27/basic_machine_learning_algorithms

Basic Machine learning algorithms using scikit-learn and other fundamental libraries

data-science data-visualization ensemble-model kaggle numpy pandas scikit-learn supervised-machine-learning

Last synced: 20 Jan 2026

https://github.com/stella4444/linear-regression

learning about linear regression (currently a work in progress) ~ working with data

linear-regression machine-learning numpy scikit-learn

Last synced: 20 Jan 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/yanglr/mlnotes-python

Machine learning Notes for Python 3 (NumPy, TensorFlow etc.), with interactive Jupyter notebook.

jupyter jupyter-notebook numpy numpy-notes

Last synced: 21 May 2026

https://github.com/sohan181204/airline-ticket-price-analysis

The analysis of airline ticket prices explores the dynamic and competitive nature of the aviation industry in India. With rapid economic growth and increasing air travel demand, understanding ticket price trends is crucial for airlines, passengers, and policymakers.

numpy pandas python selenium

Last synced: 11 Apr 2026

https://github.com/rutujaingole/jailbreaking-deep-models

This repository contains the codebase for Jailbreaking Deep Models, which investigates the vulnerability of deep convolutional neural networks to adversarial attacks. The project systematically implements and analyzes Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), and localized patch-based attacks on the pretrained

adversarial-attacks deep-learning densenet121 fgsm-attack imagenet-classifier jailbreak machine-learning numpy patch-based-attack pgd-adversarial-attacks torch

Last synced: 14 May 2026

https://github.com/coderjolly/employee-information-retrieval-system

An information retrieval system constructed using Flask to perform ETL operations while ingesting New York Payroll data and provide a frontend user interface for manipulating filters and queries.

etl flask mvc numpy pandas python sqlite3

Last synced: 11 Apr 2026

https://github.com/omarsaad21/shopping-cart-eda

An EDA python project focusing on getting the most out of a movies dataset (- 1- combine this data together - 2- check messing values - 3- show summary statistics - 4- deal with date time and extract features from dates - 5- answer at least three questions from this data)

eda jupyter-notebook numpy pandas plotly python

Last synced: 13 Apr 2026

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/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/adi3042/sensor-fault-detection

🔍⚙️ Ensure Reliable Operations! Detect anomalies and prevent disruptions with our Sensor Fault Detection system. Explore advanced classification and regression techniques to identify and address sensor faults effectively. Your path to robust and accurate sensor data begins here! 🚨🔧 SensorFaultTech

classification css datetime fault-detection flask functools html ipykernel jupternotebook machine-learning numpy pandas python3 readme regression scikit-learn sensor setuptools venv

Last synced: 11 Apr 2026

https://github.com/paulo-freitas-junior/ifood-dev-week2023

Repositório sobre a Dev Week iFood sobre uso de Python e Inteligência Artificial para realização de cálculo de NPS ( Net Promoter Score ) e a utilização de IA para análise de sentimentos dos comentários usando tecnologia do ChatGPT-4.

bert chatgpt colab-notebook matplotlib nltk numpy pandas python textblob-sentiment-analysis

Last synced: 13 Apr 2026

https://github.com/harmanveer-2546/movie-industry

Investigate the film industry to gain sufficient understanding of what attributes to success and in turn utilize this analysis to create actionable recommendations for companies to enter the industry.

business business-analytics data-analysis datatime film-industry graphs matplotlib movie-database numpy pandas python scraping-websites seaborn visualization web-scraping-python

Last synced: 10 Apr 2026

https://github.com/ialam085/super_store_sales_analysis_python

The project is indeed focused on performing an exploratory data analysis (EDA) of Super Store Sales data from various perspectives, using comprehensive visualizations.

charts matplotlib numpy pandas python seaborn visualization

Last synced: 10 Apr 2026