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/alwaysvivek/next-word-prediction

🔮 Predicts the next word in a text sequence using either an N-gram statistical model or an LSTM-based neural network.

argparse laplace-smoothing machine-learning neural-network ngrams nlp nltk numpy python3 tensorflow

Last synced: 12 Apr 2026

https://github.com/amruta33/customer-support-on-twitter

The Customer Support on Twitter dataset is a large, modern corpus of tweets and replies to aid innovation in natural language understanding and conversational models, and for study of modern customer support practices and impact.

nlp numpy pandas python regex sklearn

Last synced: 12 Apr 2026

https://github.com/adarshpheonix2810/fake-job-post-detection

This project focuses on detecting fake job posts using machine learning. Fake job advertisements are often created to scam individuals by stealing personal information or money.

data-analysis deep-learning joblib machine-learning nlp-machine-learning numpy pandas python scikit-learn tkinter

Last synced: 12 Apr 2026

https://github.com/kr1shnasomani/DeepDetect

Traffic light, vehicle and human detection from aerial images using YOLOv8 model and Computer Vision

computer-vision deep-learning neural-network numpy opencv yolov8

Last synced: 03 Sep 2025

https://github.com/tebogoyungmercykay/mathematical_modelling_in_python

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.

clock counter differential-equations equations-and-plotting growth-factor is-sorted lamda-expressions linearization logistic-difference-equations mathplotlib numpy pell-recursive polyfit python recursion rieman-sums sympy

Last synced: 14 Mar 2025

https://github.com/shahsuvarli/election-voters-data-analysis-pandas

Educational project analyzing Azerbaijan voter demographics with pandas, focusing on data cleaning, grouping, and visualization.

cleaning data grouping matplotlib numpy pandas python visualization

Last synced: 12 Apr 2026

https://github.com/khushi130404/echobot

EchoBot is a chatbot built using TensorFlow to classify user inputs into predefined intents and respond accordingly. It uses a neural network trained with the data in intents.json.

keras nlp nltk numpy pickle tensorflow

Last synced: 12 Apr 2026

https://github.com/mark1708/neurointerfaces-of-information-systems

Laboratory work on the discipline "Neurointerfaces of information systems"

numpy pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/3rd-son/movie-streaming-service-analysis

Exploratory Data Analysis of the Streaming Services like Neflix, Hulu, Disney+ etc

data-analysis exploratory-data-analysis jupyter-notebook matplotlib numpy pandas plotly python seaborn

Last synced: 18 Apr 2026

https://github.com/mariam-zaidi/credit_risk_analytics

Performing Exploratory Data analysis for loan application approvals and understanding Risk analytics

exploratory-data-analysis matplotlib numpy pandas risk-analytics seaborn

Last synced: 06 May 2026

https://github.com/nisch-mhrzn/book-recommender-system

A Flask-based application that suggests books tailored to user preferences, leveraging collaborative filtering and a curated dataset.

flask numpy pandas python

Last synced: 12 Apr 2026

https://github.com/fimbres/emotion-recognition

This is an AI project developed in Python to recognize emotions in people.

ai kaggle-dataset keras numpy opencv python tensorflow

Last synced: 12 Apr 2026

https://github.com/manojkp08/student-performance-analysis

The Student Performance Analyzer is your go-to solution for understanding and improving student performance. By blending the power of machine learning with interactive visualizations, this tool provides educators and learners with personalized insights into learning styles, performance gaps, and actionable improvements.

machine-learning numpy pandas python requests scikit-learn streamlit

Last synced: 12 Apr 2026

https://github.com/parkjungyoon/til-data_study

✍ 데이터분석, 데이터베이스, 클라우드 컴퓨팅 등을 공부하고 기록하는 저장소 입니다.

crawling machine-learning monodb mysql numpy pandas python

Last synced: 12 Apr 2026

https://github.com/shibam120302/indian_sign_language_translator

This repository consists of the code utilized for creation of an Indian Sign Language Translator satisfying the following criteria : Near-Real-Time Application Achieve background independence Attain Illumination independence

imageai keras numpy opencv pillow tensorflow

Last synced: 12 Apr 2026

https://github.com/mzayles/iris-seaborn_visualizacao-dados

💻📊✅ Curso de Programação em Python para Data Science | Gráficos utilizando a base de vendas da Seaborn e a biblioteca Matplotlib.

matplotlib numpy pandas python seaborn

Last synced: 24 Mar 2025

https://github.com/mzayles/base_vendas_dataprep

💻📊✅ Curso de Programação em Python para Data Science | Preparando e tratando dados com Pandas e NumPy.

numpy pandas python

Last synced: 24 Mar 2025

https://github.com/jvictor011/big-five-personality-test

Usando machine learning para fazer o agrupamento de um sistema de traço de personalidade

matplotlib numpy os pandas python seaborn

Last synced: 07 May 2025

https://github.com/vikpires/ds_tips-dataset

Projeto individual do bootcamp de ciência de dados avanti 2024.2, com o objetivo de analisar e observar padrões no conjunto de dados "Tips".

data-analysis data-science data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn tips

Last synced: 17 Sep 2025

https://github.com/sujalk777/signal_systems_lab

This repository contains the assignments for the Signal Systems Laboratory course offered at IIT Jammu Autumn 24

jupyter-notebook librosa linux matplotlib numpy python raspberry-pi

Last synced: 12 Apr 2026

https://github.com/shreeparab1890/chat-analyzer

This project is a Data Analysis project to analyze the WhatsApp chats.

data-analysis numpy pandas python

Last synced: 12 Apr 2026

https://github.com/shandilya1998/neurorobotics

Python tools for robotics, deep reinforcement learning and neuroscience research.

computational-neuroscience mujoco mujoco-py numpy openai-gym pytorch reinforcement-learning robotics

Last synced: 12 Apr 2026

https://github.com/raduldev/ml-projects

End To End Machine Learning Project guided by Krish Naik from Ineuron.

catboost dill flask-application numpy pandas python scikit-learn xgboost

Last synced: 12 Apr 2026

https://github.com/varuntotakura/face-recognition

My own code for Face Recognition using Python

face-recognition numpy opencv python tensorflow

Last synced: 09 Apr 2026

https://github.com/tugot17/linear-regression-from-scratch

Linear Regression concepts and intuitions presented using Jupyter Notebooks

from-scratch linear-regression numpy python

Last synced: 11 Jul 2025

https://github.com/khushi130404/catnet

CatNet is a simple machine learning project that classifies images as either a cat or not a cat using logistic regression. The dataset consists of labeled images of cats and non-cats, preprocessed and used to train a binary classification model.

h5py matplotlib numpy pillow scipy

Last synced: 12 Apr 2026

https://github.com/c-mohammed-zaid/python

A diverse collection of Python projects showcasing skills in game development, data manipulation, and utility tools, including classic games, encryption, and data analysis.

jupyter-notebook matplotlib numpy pandas python scipy turtle

Last synced: 06 Jan 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: 21 Jul 2025

https://github.com/ds-python-programmers-spectrum/flipkart-sentimental_analysis-app

The Flipkart Sentiment Analysis project aims to analyze customer reviews of Flipkart products using Natural Language Processing (NLP) and visualize insights through a Streamlit-based web application. This system will classify customer feedback as positive, negative, or neutral

machine-learning nltk numpy pandas sentiment-analysis streamlit-webapp textblob vader-sentiment-analysis

Last synced: 22 Jun 2025

https://github.com/byteshiva/getmaplocation

Automate Dummy data from the open data source. Parse International Address, Geopy to automate map locations using lat and lon, Cache geopy map location calls using sqlite3, Use Pandas to parse and convert CSV to JSON

csv-parser geopy json numpy pandas pandas-dataframe parser pickle python3 sqlite3

Last synced: 18 Apr 2026

https://github.com/akashash01/random_forest

It enable learning method for classification, regression and other task. Operates by building multiple decision tree ay training time. It is much more robust than Decision Tree algorithm.

data-science machine-learning numpy pandas python random-forest-classifier sklearn supervised-learning

Last synced: 01 Apr 2025

https://github.com/sayan520/titanic-data-insights

Conducting data analysis on Kaggle's Titanic: Machine Learning from Disaster dataset using essential data wrangling, exploratory data analysis (EDA), and visualization techniques to uncover insights, identify patterns, and explore factors influencing passenger survival.

jupyter-notebook kaggle matplotlib numpy pandas python scikit-learn seaborn

Last synced: 12 Apr 2026

https://github.com/urvee1810/market_basket_analysis

A data mining project analyzing Instacart's 3 million grocery orders to uncover customer shopping patterns and product associations. Using market basket analysis and the Apriori algorithm, the project reveals key insights about shopping behavior, product combinations, and temporal patterns, providing valuable recommendations for retail strategy

apriori-algorithm data-mining data-visualization machine-learning market-basket-analysis matplotlib mlxtend numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/rohitinu6/image_cartoonify

To Cartoonify an Image using opencv-python

image-processing matplotlib numpy opencv opencv-python python

Last synced: 12 Apr 2026

https://github.com/tnleite/credit-card-customer-clustering

Este repositório apresenta um projeto de segmentação e predição de clientes de cartões de crédito. Utilizando EDA, clusterização (K-Means) e machine learning, o objetivo é prever o grupo de novos clientes, apoiando estratégias de marketing personalizadas.

classification-algorithm clustering-algorithm clustering-analysis data-science exploratory-data-analysis kmeans-clustering logistic-regression machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn seaborn

Last synced: 07 May 2026

https://github.com/prashhhant213/customer-behavior-analysis-for-walmart-black-friday-sales

This project is a Walmart case study analyzing customer purchase behavior by gender and demographics to inform business decisions, especially around spending habits during events like Black Friday.

matplotlib numpy pandas python scipy seaborn

Last synced: 06 Jan 2026

https://github.com/arrmansa/leetcode-nice-solutions

Some solutions for leetcode problems that I found fun - either the algorithm or using numpy bruteforce where it shouldn't be

leetcode leetcode-python leetcode-python3 leetcode-solutions numpy python python3

Last synced: 16 Mar 2025

https://github.com/techcsispit/algorithmic-trading

This project focuses on algorithmic training using Python in Jupyter Notebooks. It covers various data structures and algorithms, providing a hands-on approach to solving algorithmic challenges. The notebooks are designed to be interactive and educational for learners of all levels.

matplotlib numpy pandas python sklearn

Last synced: 04 Sep 2025

https://github.com/hrolive/fundamentals-of-accelerated-data-science

How to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results.

accelerated-computing bokeh cudf cugraph cuml cupy dask data-science jupyter numpy pandas python rapids xgboost

Last synced: 12 Apr 2026

https://github.com/parth-jatav/super-store-analysis-project

The Super Store Analysis project leverages Python libraries such as pandas, matplotlib, and numpy to perform a comprehensive analysis of a retail store's data. This project includes data cleaning, visualization, and statistical analysis to identify key trends, optimize inventory, enhance decision-making processes for improved business performance.

data-analysis matplotlib numpy pandas python super-store

Last synced: 12 Apr 2026

https://github.com/apal21/tensorflow-linear-regression-fit-data

Fit a line passing through data with some random noise using Tensorflow linear regression with Gradient Descent Optimizer.

gradient-descent linear-regression numpy python3 tensorflow

Last synced: 12 Apr 2026

https://github.com/mahmoudnamnam/superstore-analysis

This project explores the SuperStore dataset to uncover insights into sales, profit, and customer behavior. It identifies key trends, regional variations, and product performance, using data analysis and machine learning techniques to guide business strategy and optimize performance.

clustering data-analysis data-science data-visualization geopandas jupyter-notebook machine-learning numpy pandas plotly regression seaborn sklearn

Last synced: 12 Apr 2026

https://github.com/mostafa-ghorab/global-happiness-analysis

An analysis of global happiness rankings based on various factors like GDP, family support, health, and freedom from the World Happiness Report (2015-2017). This project provides data visualizations and statistical insights into how these factors influence happiness scores in different regions.

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

Last synced: 12 Apr 2026

https://github.com/ledsouza/python-powerbi

Desenvolver uma dashboard para análise do mercado financeiro utilizando Python e Power BI

etl matplotlib numpy pandas powerbi python seaborn

Last synced: 12 Apr 2026

https://github.com/mnitin-reddy/summer-olympics-data-analysis-web-app

An interactive web app for exploring trends in Olympic Games history, analyzing overall medal tallies, country-wise performance, and athlete demographics. Built with Python and Streamlit, this app offers insights through visualizations and data-driven statistics.

dataanalytics matplotlib numpy pandas python seaborn streamlit

Last synced: 12 Apr 2026

https://github.com/jpcano/boston_housing

Predicting Boston Housing Prices using supervised Machine Learning algorithms

cross-validation machine-learning numpy pandas python regression-models scikit-learn

Last synced: 12 Apr 2026

https://github.com/emhash/machine-learning-and-ai

Personal tasks or codes of Machine Learning and Artificial Intelligence. Practice codes and projects of Ml/AI will be share here.

ai datasets ipynb jupyter-notebook keras linear-regression logistic-regression machine-learning machine-learning-algorithms numpy opencv pandas python seaborn sklearn tensorflow

Last synced: 05 Jan 2026

https://github.com/armahdavi/mlops

Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.

apache-beam docker fastapi logistic-regression mlops mlops-workflow numpy random-forest sklearn tensorflow-extended unicorn xgboost

Last synced: 12 Apr 2026

https://github.com/filip-kustura/python-covid-19-behaviors-analysis

Using Jupyter Notebook, this university project analyzes attitudes and behaviors related to the COVID-19 pandemic using a two-year survey from Imperial College London and YouGov research company. Utilizing Pandas, NumPy and Matplotlib, the data analysis focuses on three countries, exploring trends and insights throughout the pandemic.

covid-19 data-analysis data-visualization jupyter-notebook matplotlib numpy pandas python university-project

Last synced: 12 Apr 2026

https://github.com/lijesh010/employeeanalysis-

This is a simple data analysis project developed as part of my Entri Elevate Data Science and Machine Learning course. It serves as a practical demonstration of my skills in data analysis.

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/lorenzorottigni/ml-universities

Machine Learning python bootcamp: K mean clustering with public/private universities dataset

k-mean-clustering machine-learning numpy pandas python scikit-learn seaborn

Last synced: 05 Apr 2026

https://github.com/rizkyrajitha/ann_101

A really simple neural network for binary classification written from scratch using python

jupyter-notebook numpy pandas

Last synced: 08 May 2026

https://github.com/mpoojithavigneswari/bangalore-house-price-prediction

This project involves creating a website that predicts Bangalore house prices with 94.65% accuracy using a machine learning algorithm.

data-analysis data-science flask-server machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 12 Apr 2026

https://github.com/aleksandarbuk/machine-learning

The Machine Learning Library repository provides a collection of scripts and tools leveraging Scikit-Learn, Pandas, and NumPy for various machine learning tasks and data analysis.

matplotlib numpy python scikit-learn tensorflow

Last synced: 16 Apr 2026

https://github.com/akashkg03/facial-expression-image-classification

This notebook involves to build a facial expression image classifier which categorizes facial expressions into one of seven emotions: anger, disgust, fear, happiness, sadness, surprise, and neutral.

jupiter-notebook numpy pandas python

Last synced: 28 Apr 2026

https://github.com/hariprasath-v/av-job-a-thon-november-2022

Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.

exploratory-data-analysis kaggle lightgbm-regressor matplotlib numpy pandas python rmse-score seaborn sklearn statsmodels timeseries-forecasting

Last synced: 12 Apr 2026

https://github.com/prarthana-singh/potato-disease-classification-using-deep-learning

🌱 Potato Disease Classification using Deep Learning – A deep learning-based model to detect and classify potato plant diseases using image processing and CNNs. Built with TensorFlow/Keras & Python.

agriculture cnn deep-learning image-classification keras machine-learning neural-network numpy pandas plant-disease-detection python3 streaming tensorflow

Last synced: 12 Apr 2026

https://github.com/yahiazakaria445/image-classification-using-vgg-16

computer vision model for 10 classes classification

matplotlib numpy opencv pandas sklearn tensorflow

Last synced: 12 Apr 2026

https://github.com/alejoduarte23/bs6472

Serviceability assessment as per BS 6472 for human exposure to vibration in buildings Vibration sources other than blasting

matplotlib numpy pydantic scipy

Last synced: 07 Jan 2026

https://github.com/otuemre/housepricingml

A machine learning project predicting house prices using regression models. Covers data preprocessing, feature engineering, and model comparison to achieve accurate results. Developed for a Kaggle competition, focusing on effective ML workflows and model interpretability.

eda encoding evaluation-metrics kaggle-competition lightgbm-regressor machine-learning matplotlib-pyplot neural-networks numpy pandas preprocessing python ridge-regression scikit-learn seaborn tensorflow xgboost-regression

Last synced: 13 Apr 2026

https://github.com/manikantasanjay/data_analysis_using_python_libraries_series

This Series contains Data Analysis projects performed on different Kaggle datasets and providing valuable insights into the data by making use of Python libraries.

exploratory-data-analysis kaggle-datasets machine-learning matplotlib numpy opendatasets pandas python visualization

Last synced: 12 Apr 2026

https://github.com/the-developer-306/fake-review-detector

This project is a machine learning-based review classification system that predicts whether a product review is GENUINE or FAKE. It preprocesses review text, analyzes sentiment, and uses numerical features like ratings and helpfulness to make predictions. The model is deployed via a Flask web application for user interaction.

classification flask logistic-regression machine-learning numpy pandas python renderdeploy scikit-learn sentiment-analysis

Last synced: 12 Apr 2026

https://github.com/ahmedabdalkreem/animals_classification

This project is dependent to make classification between faces of cats, dogs and wild_animals and use multiple model such as CNN and pretrained model like ResNet and MobileNet and show the result of all model in the image using heatmap to know what is the part that model take decision when see it.

classification cnn heatmap matplotlib mobilenet numpy opencv pandas pretrained-models python restnet

Last synced: 12 Apr 2026

https://github.com/nakshjainsonigara/football-eda

This EDA offers a comprehensive exploration of football analytics, leveraging Python libraries to analyze players, club games, and various other aspects of the sport. Through statistical analysis and visualization, we uncover insights into player performance, club strategies, and league dynamics providing valuable insights for football enthusiasts.

dash exploratory-data-analysis matplotlib numpy pandas plotly python scipy seaborn statistics

Last synced: 07 Jan 2026

https://github.com/hariprasath-v/av_job-a-thon-august-2022

Build a Machine Learning model to predict the CTR(click through rate) of an email campaign based on the email campaigning information.

exploratory-data-analysis klib machine-learning matplotlib numpy pandas pycaret-library regression seaborn sklearn

Last synced: 12 Apr 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: 12 Apr 2026

https://github.com/linggarm/priority-task-selection-using-evolutionary-programming

A web app that utilizes Evolutionary Programming to determine and prioritize tasks for efficient scheduling.

artificial-intelligence css evolutionary-algorithms evolutionary-programming flask html javascript machine-learning numpy python

Last synced: 12 Apr 2026

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

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

data-acquisition data-analysis data-analytics data-binning data-cleaning data-engineering data-fundamentals data-insights data-integration data-preprocessing data-science data-wrangling numpy pandas python

Last synced: 12 Apr 2026

https://github.com/konynour/facedectection

This project demonstrates real-time face detection using OpenCV and a pre-trained SSD (Single Shot MultiBox Detector) model. The system captures video from a camera, processes the frames, detects faces, and displays the results with bounding boxes and confidence scores. This application showcases the use of deep learning models for object detection

cv2 jupyter-notebook lambda-functions matplotlib numpy opencv python3

Last synced: 12 Apr 2026

https://github.com/mairagalvao/steak_risk_data

A data analysis based on correlations and comparisons among the samples.

database matplotlib numpy pandas python3 sql

Last synced: 12 Apr 2026

https://github.com/aqueeqazam/numpy-for-mathematical-computing

You're at the perfect spot if you're interested in developing your career in data science or machine learning, or if you just enjoy having fun with mathematical operations.

mathematics numpy numpy-arrays

Last synced: 19 Apr 2026

https://github.com/chenshuliu/python-guide-to-numpy

This repository is dedicated to explaining the functionalities of Numpy in Python

data-structures numpy python

Last synced: 18 Jan 2026

https://github.com/supriya811106/twitter-sentiment-analysis

Analyzing the mood of tweets! We sort tweets on popular topics into positive, negative, or neutral categories to gauge public opinion. See what Twitter really thinks!

bernoulli-naive-bayes jupyter-notebook matplotlib nlp-machine-learning nltk numpy pandas python scikit-learn seaborn sentiment-analysis text-classification tfidf-vectorizer wordcloud

Last synced: 05 Apr 2026

https://github.com/AsuquoAA/CDC_2017_Immunization_Data_Analysis

This project analyzes data from the CDC's 2017 National Immunization Survey Public Use File (NISPUF17) to answer research questions about immunization, child health, and vaccine-related behaviors.

numpy

Last synced: 21 Jul 2025

https://github.com/2kabhishek/ml-primer

Basic Machine Learning & Data Science in Python/ 📈🐍

jupyter-notebook machine-learning matplotlib numpy pandas python

Last synced: 12 Apr 2026

https://github.com/rubada/machine-learning-with-ruba-dabbas

Advance your skills and start your career here, by taking the online courses on Intuidemy.

course learning machine machine-learning matplotlib matplotlib-pyplot models numpy pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/sudarshanc00/mnist-digit-classification

This project uses a machine learning model to classify handwritten digits (0-9) from the MNIST dataset, a popular collection of grayscale images for image classification benchmarking. It includes a Jupyter Notebook to train a neural network, enabling accurate recognition and classification of digits.

jupyter-notebook matplotlib numpy python tensorflow

Last synced: 12 Apr 2026