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/ayan6943/employee-attrition-prediction-with-machine-learning

Employee Attrition Prediction with Machine Learning | Analyzing HR data to predict employee turnover using Random Forest. Includes EDA, feature engineering, model training, and evaluation. Achieved 90% accuracy.

attrition employee machine-learning matplotlib numpy pandas python randomforestclassifier scikit-learn seaborn smote

Last synced: 09 Apr 2026

https://github.com/blackcub3s/msc-finalthesis

The most important programming files, code functions and data processing pipelines for the Machine learning final thesis of my Master's degree. Also, the LaTeX code of the thesis.

data-analysis latex machine-learning numpy python sklearn

Last synced: 09 Apr 2026

https://github.com/ananupam/eda-stock_market

An Exploratory Data Analysis project done on Financial data read from a search engine (yahoo) to predict the trends of stocks of 4 Tech companies.

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 06 May 2026

https://github.com/vipinchaudhary31122002/valuevanguard

ValueVanguard is a machine learning project for accurate house price predictions. Using advanced algorithms and real-world data, it empowers users to analyze and forecast property values efficiently. Perfect for developers, data enthusiasts, and real estate professionals. 🏠📈

machine-learning matplotlib numpy pandas python sklearn streamlit

Last synced: 12 Apr 2026

https://github.com/ravi0529/e-commerce-annual-spend-model

A basic Linear Regression model for predicting annual customer's spending

jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn scipy

Last synced: 09 Apr 2026

https://github.com/sk-g/mnist_beginners

Model search in traditional machine learning algorithms (non DL) and DL starter codes on MNIST dataset. This is a good starter code for beginners trying to learn about curse of dimensionality, overfitting and other concepts in general

keras machine-learning machine-learning-algorithms mnist mnist-beginners mnist-classification mnist-dataset numpy overfitting python pytorch pytorch-implmention resnet resnet-50 scikit-learn scikitlearn-machine-learning sklearn tensorflow

Last synced: 09 Apr 2026

https://github.com/faisal-khann/banking_portfolio_risk_analysis

This analysis explores the banking customer dataset to uncover key patterns in account holdings, loan portfolios, income profiles, and transactional behavior. By integrating both financial and demographic variables, we examine customer engagement, lending trends, and risk exposure across different segments.

data-manipulation eda matplotlib numpy pandas powerbi python seaborn

Last synced: 21 Aug 2025

https://github.com/magzybog12/real-time-object-distance-measurement-using-opencv-python

Using an A4 paper as a guide, performing the distance measurements to find the height and width of objects placed in the region

numpy opencv-python pycharm-ide

Last synced: 05 May 2026

https://github.com/prath0m/python-numpy

Python basic Numpy Program

machine-learning numpy python python3

Last synced: 09 Apr 2026

https://github.com/yash-3-bit/human-activity-recognition-using-smartphone-data

Human Activity Recognition (HAR) Using Smartphone Data This project leverages smartphone sensor data to recognize human activities such as walking, running, sitting, and standing.

numpy pandas python scikitlearn-machine-learning seaborn

Last synced: 09 Apr 2026

https://github.com/jai0212/gpt-rnn-poetry-generator

A generative pre-trained transformer (GPT) using a recurrent neural network (RNN) to generate poetry with customizable length and creativity index.

ai csv-files gpt machine-learning neural-networks nlp-machine-learning numpy pandas-library poetry-generator rnn-tensorflow training-dataset

Last synced: 12 Aug 2025

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/shoaib1522/credit-card-fraud-analysis

"A comprehensive project on Credit Card Fraud Detection combining Exploratory Data Analysis, Machine Learning, and an interactive Streamlit web app for real-world applicability."

eda epochs mlp-classifier neural-network numpy pandas-python perceptron-learning-algorithm python regression sckiit-learn seaborn streamlit streamlit-webapp tensorflow

Last synced: 09 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/quarkgluant/analyse-visualisation-data-with-python

French Udemy Course "Analyse et visualisation de données avec Python" on Numpy, Pandas and MatPlotLib Python's librairies

matplotlib-tutorial numpy numpy-tutorial pandas pandas-tutorial python python3 udemy

Last synced: 09 Apr 2026

https://github.com/niteshchawla/netflix-case-study

Analyze the data and generate insights that could help Netflix ijn deciding which type of shows/movies to produce and how they can grow the business in different countries

matplotlib numpy pandas python seaborn

Last synced: 09 Apr 2026

https://github.com/applicativesystem/numpy-builder

code getter and numpty operator for numpy operations

data-analysis numpy numpy-python shell-script

Last synced: 15 Aug 2025

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/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/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/glbter/data-analysis-py

data-analysis labs. 50/50 made with Oleh Tonkoshkur

numpy pandas python3 scipy-stats

Last synced: 12 Jun 2026

https://github.com/vuanhtuan1012/data-scientist-with-python

Notes on career track "Data Scientist with Python" at DataCamp

importing-data matlab numpy pandas python3 sqlalchemy

Last synced: 09 Apr 2026

https://github.com/harsha-yuvaraj/data-compression-and-decompression-tool

A specialized lossless file compression and decompression tool designed mainly for plain text, including programming files.

data-structures huffman-compression-algorithm lossless-compression-algorithm numpy python tkinter

Last synced: 15 Apr 2026

https://github.com/kylehperez/mushroomnet

This API is for research purposes ONLY and is NOT to be used for food-safety or medical advice. Mushroomnet is a machine learning neural network for classifying mushrooms as poisonous or edible. The model was trained on data from uni.edu: over 5,000 instances of mushrooms, with 22 qualitative features and a determination of poisonous or edible.

artificial-intelligence botany flask-api machine-learning mycology neural-network numpy python3 pytorch scikit-learn

Last synced: 09 Apr 2026

https://github.com/ankitsharma-tech/classification-of-arrhythmia-using-ecg-data

A machine learning project to detect and classify arrhythmias from ECG signals using Python, scikit-learn, and TensorFlow. Includes data preprocessing, model training, and evaluation.

arrhythmia biomedical-signal-processing cardiology classification deep-learning ecg ecg-classification healthcare machine-learning mit-bih-dataset numpy python scikit-learn scipy signal-processing tensorflow time-series-analysis

Last synced: 07 Apr 2026

https://github.com/vedikasnehil/my-data-science-projects

This repository is a comprehensive collection of resources and implementations dedicated to the field of Data Science. It serves as a platform for exploring various aspects of data science, ranging from data preprocessing and exploratory data analysis (EDA) to machine learning and deep learning.

data data-science deep-learning machine-learning matplotlib numpy python sql visualization

Last synced: 10 Apr 2026

https://github.com/izhaan0/predict-marks-based-on-study-hours

Student Marks Predictor is a machine learning project that predicts a student’s exam scores based on the number of study hours. It uses Linear Regression to learn the relationship between study hours and marks, and provides both command-line and interactive Streamlit web interfaces for prediction and visualization.

data-visualization joblib jupyter-notebook machine-learning machine-learning-algorithms matplotlib-pyplot numpy pandas pandas-dataframe pickle python scikit-learn seaborn

Last synced: 05 Apr 2026

https://github.com/hanannazri/predictive-customer-churn-modelling-with-price-sensitivity-insights-

As a part of BCG Data Science Project, I developed a predictive churn-risk model for XYZ energy utility by engineering price, consumption and contract features and training XGBoost and Random Forest models to identify customers most likely to churn at current prices.

bcgx data-visualization exploratory-data-analysis feature-engineering jupyter jupyter-notebook model-training-and-evaluation numpy pandas random-forest scikit-learn xgboost

Last synced: 19 Aug 2025

https://github.com/ahmedabdalkreem/naive-bayes

Show what types of naive-bayes and how to use model and deal with data ( Numerical, Categorical and Mixed between Numerical and Categorical )

numpy pandas python3

Last synced: 10 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/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/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/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/harmanveer-2546/covid-19-chances-detection

The main goal of this project is to build a machine learning model that, given a Covid-19 patient's current symptom, status, and medical history, will predict whether the patient is in high risk or not.

covid-19 covid-data logistic-regression matplotlib mlp-classifier numpy pandas python random-forest seaborn sklearn-library xgboost

Last synced: 10 Apr 2026

https://github.com/csengupta1101/career-survey---data-scientist

This repository holds an in depth analysis of Scrapped data from naukri.com. which showcases in in demand skills and opportunities in Data science across the subcontinent.

analysis career data-science matplotlib naukri numpy pandas python3

Last synced: 07 May 2026

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

Machine Learning python bootcamp: linear regression on houses model

ipynb linear-regression machine-learning numpy pandas python scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/nickklos10/compressive-strenght-prediction

This project predicts concrete compressive strength using a neural network regression model built with Keras.

jupyter-notebook keras matplotlib numpy pandas python scikit-learn

Last synced: 10 Apr 2026

https://github.com/hariprasath-v/hackerearth_transunion-data-science-analytics-hiring-challenge_2022

Machine learning model to classify the credit score based on people bank details and credit related information.

catboost exploratory-data-analysis klib machine-learning matplotlib numpy optuna pandas python seaborn sklearn

Last synced: 10 Apr 2026

https://github.com/dhaase-de/dito

Yet another toolbox for the daily work with OpenCV under Python.

numpy opencv python

Last synced: 22 Aug 2025

https://github.com/kunalshelke90/wine-quality-testing

This project is about creating a machine learning algorithm that can predict the quality of wine based on the given dataset. Different machine learning algorithms such as logistic regression, decision tree and random forest are used in this project.

eda feature-engineering flask machine-learning numpy pandas python

Last synced: 10 Apr 2026

https://github.com/ahmedabdalkreem/covid-19

In this project we build complete project conatin tree part first part build deep leanring model using CNN second part build simple mobile app using Flutter and the last part is to connect mobile app with model using Flask API.

cnn dart deep-learning flask-api flutter matplotlib mobile-app numpy pandas python tensorflow

Last synced: 10 Apr 2026

https://github.com/prince-pastakiya/human-resources-tableau-project

👥 Interactive Tableau dashboard for HR analytics — includes workforce overview, demographics, income analysis, and detailed employee records with full filtering.

chatgpt data-analysis data-visualization human-resources numpy python python-faker tableau-dashboards tableau-public

Last synced: 18 Apr 2026

https://github.com/jeniljani-4444/end-to-end-car-price-prediction-model

Predict car prices effortlessly using this machine learning model. Built with Python and Scikit-learn it analyzes features like mileage age brand and more to estimate accurate prices. Perfect for buyers sellers and dealerships.

machine-learning matplotlib numpy pandas python scikit-learn seaborn streamlit

Last synced: 10 Apr 2026

https://github.com/sc0v0ne/blueflix

Simple Application Recommend Movies and Tv Shows

csv k-means k-means-clustering kaggle movies numpy pandas python recommends-movies sklearn streamlit

Last synced: 10 Apr 2026

https://github.com/sawaira-iqbal/data-visualization-project-on-car-sales-data

Explore Sales Data Visualization with Interactive Charts & Insights! 📊 Uncover trends and patterns to drive smarter automotive decisions.

bivariate-analysis data-science data-visualization interactive-visualizations matplotlib multivariate-analysis numpy plotly python seaborn univariate-analysis

Last synced: 12 Apr 2026

https://github.com/bdurga26/fake-news-detection

This project aims to find whether the given news is real or fake by using Machine learning Algorithms.

ds ml numpy pandas python sklearn

Last synced: 14 Apr 2026

https://github.com/sandyherho/buku_metnum_python

Repositori ini memuat kode dan gambar yang digunakan pada buku "Pengantar Metode Numerik Terapan Menggunakan Python".

belajar-pemrograman belajar-python indonesia indonesian-language matematika-terapan matplotlib metode-numerik numerical-methods numpy python scipy

Last synced: 16 Jan 2026

https://github.com/mays-m/deeplearning

In deep learning, with the help of data and training, neural networks are created and trained, which create better predictions than before with the help of neural networks.

anaconda artificial-intelligence conda-environment matplotlib neural-networks numpy pandas python3 tensorflow tensorflow-gpu transortfow-

Last synced: 11 Apr 2026

https://github.com/zenithclown/agine

Library for finding Nearest Neighbor or to find if two points on Earth have a Direct Line of Sight.

bearing bearing-calculations distance-calculation euclidean-distance geometry haversine manhattan-distance nearest-neighbor-search numpy pandas rasterio shapely

Last synced: 28 Jan 2026

https://github.com/quickheaven/scs-3251-statistics-for-data-science

Repository dedicated to Term Project of UofT Statistics for Data Science Course

data-science jupyter-notebook logistic-regression numpy pandas python

Last synced: 10 Apr 2026

https://github.com/shubhammittal-data/hr_dashboard_tableau

An interactive HR Analytics Dashboard built using Tableau. Provides insights into workforce demographics, hiring trends, salary analysis, and employee records for data-driven decision-making.

chatgpt4 data data-analysis data-visualization drawio-tools faker-generator hr-analytics hr-analytics-dashboard human-resources numpy python tableau tableau-public

Last synced: 17 May 2026

https://github.com/jhonatanthiago/projeto_analise_de_dados_com_python

A empresa contratou você para analisar dados de mais de 800 mil clientes, a maioria dos quais são inativos, ou seja, já cancelaram o serviço. O objetivo é entender os principais motivos desses cancelamentos e identificar as ações mais eficazes para reduzir esse número.

jupyter-notebook nbformat numpy openxyl pandas plotly python

Last synced: 10 Apr 2026

https://github.com/thatguychandan/adoptimization

This project implements an ad optimization system using a hybrid approach combining Thompson Sampling and Upper Confidence Bound (UCB) algorithms. The system learns to select the most effective ads based on user context and historical performance.

numpy pandas plotly python pytorch reinforcement-learning scikit-learn streamlit thompson-sampling upper-confidence-bound

Last synced: 10 Apr 2026

https://github.com/tralahm/datascience

Getting started with Data science Numerical Analysis and Scientific Computing

hmmlearn ipynb jupyterlab keras numpy pandas python3 scipy tensorflow

Last synced: 10 Apr 2026

https://github.com/null-none/pyignite

Simple deep learning library

deep-learning machine-learning ml numpy python

Last synced: 06 May 2026

https://github.com/saro0307/unemployment-analysis

This data science project delves into unemployment trends, using data analysis and machine learning to identify key factors and predict future joblessness rates, aiding policymakers and businesses in informed decision-making.

data-science datavisualization machine-learning matplotlib numpy pandas python seaborn skit-learn

Last synced: 10 Apr 2026

https://github.com/hansalemaos/cv2pencil

Converts images to pencil sketches

filter numpy opencv pencil python

Last synced: 10 Apr 2026

https://github.com/screamman-ssh/video-camera-to-ascii

Convert a video file or camera captured to display as text.

ascii camera-to-text computer numpy opencv pillow python python-3 video-to-text

Last synced: 10 Apr 2026

https://github.com/kostadinlambov/algorithmic-trading-bot

The project aims to evaluate the predictive performance of different machine learning (ML) algorithms for Bitcoin trading. The proposed trading strategy integrates key technical indicators, including the Relative Strength Index (RSI), Simple and Exponential Moving Averages, and the Moving Average Convergence Divergence (MACD).

lightgbm machine-learning matplotlib mlflow numpy optuna pandas pickle random-forest scikit-learn scipy seaborn statsmodels xgboost

Last synced: 05 Apr 2026

https://github.com/fatimaafzaal/car_price_prediction

Trains Random Forest and Gradient Boosting models to predict car prices based on user inputs for various car attributes, evaluating models and making predictions using the best-performing model.

car-price-prediction ensemble-learning gradient-boosting matplotlib numpy pandas random-forest regression regression-models scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/ahmedabdalkreem/machine_learning_with_cv

In this project work to extraction feature from shapes to be input of machine learning model.

chaincode computer-vision contour-detection feature-extraction machine-learning matplotlib numpy open-cv pandas python sklearn svc-model

Last synced: 10 Apr 2026

https://github.com/als8446/tripleten-data-science-projects

Projects Overview Projects made in the Data Scientist course from TripleTen LatAm

data data-analysis hypothesis-tests machine matplotlib numpy pandas python scipy sklearn

Last synced: 10 Apr 2026

https://github.com/lorenzorottigni/ml-iris-svm

Machine Learning python bootcamp: Support Vector Machines on iris flower dataset

ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines

Last synced: 10 Apr 2026

https://github.com/bharath-tars/deeptumor

DeepTumor is a project aimed at developing a deep learning model with over 1 million parameters using TensorFlow. with automatic reporting feature

keras machine-learning numpy pandas pyhton tensorflow webdevelopment

Last synced: 10 Apr 2026

https://github.com/sarincr/training-on-artificial-intelligence

Entree Academy 10 Days free training on Artificial Intelligence. Course will be conducted in a Blended learning way with Daily one hour online training and 3 hour project based training

artificial-intelligence artificial-intelligence-algorithms data-analysis data-science data-visualization decision-trees deep-learning deeplearning logistic-regression machine-learning machine-learning-algorithms machinelearning num numpy pandas regression scikit-learn scipy sklearn

Last synced: 10 Apr 2026

https://github.com/amiridk/machinelearning

machine-learning-notes

matplotlib-pyplot numpy pandas pyhton

Last synced: 04 May 2026

https://github.com/psavarmattas/covid19-dashboard

The goal of this project is not to build just another dashboard for Covid 19. But, to focus on collaborative plot ideas, and a mobile friendly UI/UX.

appseed bootstrap covid covid-19 css dashboard django docker html javascript json numpy plotly python travis-ci

Last synced: 10 Apr 2026

https://github.com/alyssonmach/machine-learning-com-python

Aplicações de Machine Learning usando a linguagem de programação Python.

ia keras-tensorflow machine-learning matplotlib numpy pandas programming python scikit-learn scipy

Last synced: 10 Apr 2026

https://github.com/the-developer-306/neural-style-transfer

Neural Style Transfer project leveraging TensorFlow and VGG19 to blend artistic styles with content images. Features include style and content initialization, multi-layer feature extraction, total variation loss, and post-processing enhancements like sharpening, upscaling, and brightening.

deep-learning image-processing neural-style-transfer numpy opencv-python post-processing tensorflow transfer-learning vgg19

Last synced: 01 May 2026

https://github.com/allanotieno254/pneumonia-xray-classification

This project is a Deep Learning-based Pneumonia classification system that allows medical staff to upload chest X-ray images and quickly determine whether a patient shows signs of pneumonia.

keras machine-learning numpy pandas pil pillow python streamlit streamlit-webapp

Last synced: 10 Apr 2026

https://github.com/anuppm9917/super-store-sales-analysis-power-bi-project

My drive to know which products, regions, categories and customer segments a company should target or avoid, I search and selected an appropriate dataset on kaggle which will match a standard superstore requirement.

data data-analysis data-visualization datacleansing excel exploratory-data-analysis jupyter-notebook numpy pandas plotly powerbi python3

Last synced: 10 Apr 2026

https://github.com/rokmark0/auto-feature-engineering

🐙 Automated feature engineering toolkit that creates, selects, and transforms features for machine learning on tabular data, boosting model accuracy and speeding workflows.

auto-feature-engineering automl aws-ec2 dask data-science explainable-ml feature-engineering featuretools machine-learning mahinelearning numpy pandas pandas-library python r sagemaker supervised-learning unsupervised-learning

Last synced: 10 Apr 2026

https://github.com/nihalrt/lung-cancer-data-analysis-

This is a data analysis report, created with python pandas, numpy, matplotlib, and seaborn. Provides valuable insights into the symptoms of lung cancer from a survey set.

matplotlib numpy pandas python seaborn

Last synced: 26 Jan 2026