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/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/arjunravi26/deep_learning

This repo contains codes and notes to learn deep learning

ann autoencoders cnn deep-learning deepseek-r1 lstm numpy rnn-tensorflow tensorflow transformer

Last synced: 04 May 2026

https://github.com/sweta-kaundilya/python_for_data_analysis

Learning Python and all the relevant libraries in python for Data field.

cufflinks data-analysis data-science matplotlib numpy pandas plotly python seaborn

Last synced: 04 May 2026

https://github.com/charlenry/machine_learning_estimer_prix_voiture

Projet de Machine Learning pour estimer le prix d'une voiture d'occasion via une application

joblib jupyter-notebook matplotlib-pyplot numpy oop-python pandas plotly-express python sklearn-linear-model sklearn-linear-regression

Last synced: 04 May 2026

https://github.com/sugha22/data_analysis

Actively upskilling in data science with hands-on learning during a Green Internship focused on environmental sustainability. Used Pandas and NumPy for data preprocessing and cleaning, and created visual dashboards in Excel and Tableau. Gained experience in interpreting sustainability metrics and communicating insights through data storytelling and

data-cleaning data-collection data-storytelling data-transformation excel numpy pandas preprocessing sustainability-metrics tableau-dashboards visualization

Last synced: 04 May 2026

https://github.com/silbena/gibbssampler

Gibbs Sampler for a simple mortgage model.

gibbs-sampler gibbs-sampling numpy python

Last synced: 04 May 2026

https://github.com/wwwmisla/gerador-mapas-calor

Sistema de visão computacional para gerar mapas de calor com base na movimentação em espaços públicos, auxiliando no planejamento urbano e uso eficiente do espaço.

color computer-vision demo google-colab gradio heatmap marchine-learning matplotlib model numpy opencv people-detection python smart-city ufrn visao-computacional vision-computer yolo yolov8

Last synced: 04 May 2026

https://github.com/ronitjariwala/-prodigy_ds_01

Prodigy InfoTech Data Science Internship Task-1

matplotlib numpy pandas python seaborn

Last synced: 04 May 2026

https://github.com/0nom4d/308reedpipes

Mathematical EPITECH Project - This project computes a representation of a reedpipe.

coverage epitech epitech-project matplotlib-pyplot numpy pytest python scipy

Last synced: 04 May 2026

https://github.com/alphan26/optimal-logistics-locator

This is a project in which we estimate the biomass avaibility of places due to their index and determine the optimal preprocessing depot and biorafinery in Gujarat, India

numpy pandas python sckit-learn

Last synced: 04 May 2026

https://github.com/siddhantborse/atmosviz

Atmos Viz is a Python-based project designed to analyze, visualize, and predict global temperature trends across various cities and countries using time-series analysis and advanced data science techniques. Leveraging historical climate data, this project integrates machine learning models, geospatial mapping, and interactive visualizations to unco

geopandas geospatial-analysis gis matplotlib numpy pandas plotly python scikit-learn seaborn shapefiles time timeseries-analysis timeseries-data

Last synced: 05 May 2026

https://github.com/jokoum/sentiment-classification

Multi-layer Perceptron classification of product reviews written in Greek language

flask machine-learning multilayer-perceptron-network neural-network numpy python sentiment-classification

Last synced: 05 May 2026

https://github.com/thekartikeyamishra/object-detection-for-retailer

The AI Customer Feedback Summarizer is a Python-based tool that uses extractive summarization techniques to provide concise summaries of customer feedback.

ai computer-vision cv2 numpy pillow python torch torchvision yolov5

Last synced: 05 May 2026

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

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

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

Last synced: 05 May 2026

https://github.com/vc-nithesh944/pandas_numpy

Practice repository for NumPy & Pandas with scripts, notebooks, and notes for future revision

numpy pandas

Last synced: 05 May 2026

https://github.com/kbunwong/stock-price-prediction-using-lstm

This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.

google-colab jupyter-notebook keras-tensorflow lstm-model machine-learning matplotlib numpy pandas python visualization yfinance

Last synced: 05 May 2026

https://github.com/sowmi0304/predictive-modeling-titanic-survival-prediction

Machine learning project to predict passenger survival on the Titanic using classification algorithms, data preprocessing, and model evaluation techniques.

machine-learning matplotlib numpy pandas python seaborn

Last synced: 05 May 2026

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

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

data-analysis matplotlib numpy pandas python seaborn

Last synced: 05 May 2026

https://github.com/hitthecodelabs/petalanalyticsstreamlit

Web application developed with Streamlit that predicts the Iris flower type based on its physical features

matplotlib model numpy pickle python scikit-learn sklearn streamlit

Last synced: 05 May 2026

https://github.com/yenk/human-genomic-meta-analysis

Meta analysis of genomic studies to better understand if telomeres in the human genome are impacted by age from wild animals data.

linear-regression machine-learning matplotlib numpy scipy

Last synced: 05 May 2026

https://github.com/tapas-gope/diwali-sales-analysis

Analyze Diwali Sales Data to improve customer experience and sales.

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

Last synced: 05 May 2026

https://github.com/himanshigautam-rgb/python_libraries

This repository contains operations in Matplotlib for data visualization, NumPy for numerical computations, and Pandas for data manipulation and analysis. These libraries work together to efficiently process, analyze, and visualize data.

matplotlib numpy pandas python3

Last synced: 05 May 2026

https://github.com/chdl17/marvelvsdc

This GitHub repository contains Python and Tableau for analyzing Marvel Vs DC superheros.

excel jupyter-notebook numpy pandas python tableau-public

Last synced: 05 May 2026

https://github.com/batrick-swaistan/nalaiya_thiran

Nalaiya Thiran IBM Course Training

matplotlib numpy pandas-dataframe python

Last synced: 05 May 2026

https://github.com/alexsolov28/ml_course

Курс "Технология машинного обучения"

colab-notebooks jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 05 Apr 2025

https://github.com/aathira2001/python-basics

Basic Python concepts with examples

functions numpy pandas python variables

Last synced: 05 May 2026

https://github.com/jonad/quora_data_analysis

Exploratory data analysis and feature engineering on Quora dataset.

exploratory-data-analysis feature-extraction numpy pandas python3 quora-dataset

Last synced: 05 May 2026

https://github.com/abdelrahman-amen/neural_style_transfer

This project applies neural style transfer to create new images by merging the content of one image with the artistic style of another.

neuralstyletransfer numpy os python streamlit tensorflow

Last synced: 05 May 2026

https://github.com/amruta33/lead_scoring_case_study

An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.

bagging linear-regression numpy pandas python3

Last synced: 05 May 2026

https://github.com/ayushdutta-ai/face-recognition-model

A custom face recognition model built from scratch using Python, OpenCV, Pillow, and Face libraries, utilizing LBPH for efficient facial feature extraction and accurate identification.

face haar-cascade lbph-face-recognizer numpy opencv pillow

Last synced: 05 May 2026

https://github.com/vikkiezdev/ai-global-index-analysis

This project analyzes the AI readiness of 62 countries using key indicators like government strategy, commercial activity, research, development, and infrastructure. Through data cleaning, EDA, and visualization, it identifies key drivers of AI adoption and competitiveness.

cleaning-data correlation-analysis eda matplotlib numpy pandas python3 seaborn statistical-analysis

Last synced: 06 May 2026

https://github.com/shwetapardhi/assignment-1-q9_b--basic-statistics-level-1

Q9) Calculate Skewness, Kurtosis & draw inferences on the following data SP and Weight(WT) Use Q9_b.csv

kurtosis matplotlib-pyplot numpy pandas python seaborn skewness

Last synced: 06 May 2026

https://github.com/kashinathbiradar/bangalore-housing-price-prediction

The objective of the project is to create a machine learning model. We are doing a supervised learning and our aim is to do predictive analysis to predict housing price.

css deta doc html machine-learning matplotlib numpy pandas preprocessing seaborn sklearn sql

Last synced: 06 May 2026

https://github.com/shahriarha/programming

Python problem solving, HR-30 days of code, DSA, NumPy

algorithms-and-data-structures cpp numpy programming python

Last synced: 06 May 2026

https://github.com/abdelrahman-amen/active_learning_with_different_query_strategies

This project explores the implementation of active learning techniques, focusing on various query strategies to optimize the selection of informative data points for model training. It aims to reduce the amount of labeled data required while improving model performance, especially in scenarios with limited labeled data.

activelearning cuda entropy kldivergence margin numpy python pyto uncertainty

Last synced: 06 May 2026

https://github.com/yashpaneliya/bank-loan-default-analysis

Analyze and understand the driving factors (or driver variables) behind loan default, i.e. the variables which are strong indicators of default.

data-analysis loan-default-analysis matplotlib numpy pandas python

Last synced: 06 May 2026

https://github.com/abhinav330/customer-behavior-analysis-linear-regression

This repository explores customer behavior data for an NYC clothing company with both a mobile app and website. They want to understand which platform drives higher sales.

data-analysis data-science data-visualization eda exploratory-data-analysis jupyter jupyter-notebook linear-regression machine-learning machine-learning-algorithms machinelearning-python numpy pandas python regression-analysis

Last synced: 06 May 2026

https://github.com/kunalpisolkar24/gradientdescent

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

cost-function gradient-descent numpy visualization

Last synced: 06 May 2026

https://github.com/chopikus/raytracing-bench

Benchmarking ray tracers in Python, Java, Numpy, Cupy, Pypy

cupy java numpy pypy python raytracing

Last synced: 06 May 2026

https://github.com/coder5omkar/lendingclubcasestudy

Performed exploratory data analysis (EDA) on the loan dataset from the Lending Club Case Study to identify the key factors influencing loan defaults.

bivariate-analysis data-science exploratory-data-analysis matplotlib numpy pandas seaborn univariate-analysis

Last synced: 06 May 2026

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

Um aplicativo web simples de tradução que converte texto do português para o inglês, construído com Streamlit e Google Translator

deeptranslate googletranslate numpy pyngrok python streamlit

Last synced: 06 May 2026

https://github.com/elmezianech/classifyreviews_nlp

Revolutionize customer feedback analysis with our NLP Insights Analyzer. Utilize cutting-edge text preprocessing to transform raw reviews into a machine-friendly format. Explore sentiment models, such as Logistic Regression and Naive Bayes, employing cross-validation for model robustness.

accuracy-score ai countvectorizer cross-validation joblib logistic-regression machine-learning ml multinomialnb naive-bayes-classifier nltk-library numpy pandas randomforestclassifier svc

Last synced: 06 May 2026

https://github.com/fbi555/fashion-mnist-cnn-tf

🧵 Classify fashion images using a compact CNN model in TensorFlow/Keras, designed for the Fashion-MNIST dataset with easy execution in Google Colab.

adam classification cnn colab-notebook computer-vision convolutional-neural-networks custom-training-loop deep-learning fashion-mnist gans image-classification interactive jupyter-notebook keras lowlevelapi mnist-dataset numpy regularization

Last synced: 06 May 2026

https://github.com/williyam-m/company-registration-trends

Utilized Linear Regression from scikit-learn to predict future company registration trends.

flask matplotlib numpy pandas-python scikit-learn

Last synced: 06 May 2026

https://github.com/swapnilvishwakarma/twitter_sentiment_dashboard

Using Streamlit and Python, I created interactive data dashboards and used Pandas to manipulate data in data science workflows. I also used Plotly to create interactive graphs.

dashboard machine-learning matplotlib numpy pandas plotly sentiment-analysis streamlit-webapp webapp wordcloud

Last synced: 06 May 2026

https://github.com/prab9166/-web-content-extraction-and-sentiment-analysis-

web content extraction and sentiment analysis on URLs provided in an Excel file. Its divided into classes to manage different stages such as data loading, web scraping, text processing, sentiment scoring, and output generation

beautifulsoup lxml nltk-python numpy pandas python re requests xlsxwriter

Last synced: 06 May 2026

https://github.com/piero24/lossfuncition-4sn

This research will show an innovative method useful in the segmentation of polyps during the screening phases of colonoscopies. To do this we have adopted a new approach which consists in merging the hybrid semantic network (HSNet) architecture model with the Reagion-wise(RW) as a loss function for the backpropagation process.

dataset deep-learning deep-neural-networks loss loss-functions matplotlib neural-network numpy opencv polyp-detection polyp-segmentation python python3 pytorch segmentation segmentation-models torchvision transformers unipd unipd-dei

Last synced: 06 May 2026

https://github.com/redinfinitypro/python-finance

Rating: (8/10) The code performs a linear regression analysis on stock data using the yfinance library, importing necessary libraries, selecting stock symbols, downloading data, fitting a model, making predictions, and visualizing results.

datetime matplotlib numpy pandas random sklearn yfinance

Last synced: 06 May 2026

https://github.com/jai0212/course-selector-uoft

A program that suggests university courses based on your program and provides a custom GUI to customize your course plan. Created to help UofT students

beautifulsoup csv graphs graphs-algorithms networkx-graph numpy os parser pickle pillow plotly python tkinter-gui tkmacosx

Last synced: 06 May 2026

https://github.com/jonolav95/advent_of_code_2022

Using Python with Pandas and Numpy (www.adventofcode.com).

numpy pandas

Last synced: 06 May 2026

https://github.com/shimu-i/pythonmastery

Diving into Python essentials, libraries, and tricks to become an AI & ML pro. Coding, learning, and having fun while building the future!

numpy pandas python

Last synced: 07 May 2026

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

A repository of projects done while learning and exploring ML

classification csv machine-learning numpy pandas regression sklearn

Last synced: 15 Apr 2026

https://github.com/redinfinitypro/redditbot

Rating: (7/10) This script collects, preprocesses, trains models, processes images, and handles files, handling data from Reddit, image processing, and file handling.

autocorrect bytesio concurrent nltk numpy openpyxl pandas pil praw random re requests secrets sklearn string tensorflow time urllib

Last synced: 08 Apr 2026

https://github.com/andriikot/smartmatch

Smart Match with python

docker faiss huggingface numpy ptyhon pythorch

Last synced: 04 Apr 2026

https://github.com/matheusotenio/oficina-python

https://oficina-python.streamlit.app/

matplotlib numpy python streamlit

Last synced: 27 Jun 2025

https://github.com/dulajkavinda/diabetes-detection

💊detect diabetes using machine learing

added machinelearning numpy pandas python scikit

Last synced: 14 Sep 2025

https://github.com/sandeepannandi/slicecam

SliceCam is a fun, camera-controlled game powered by OpenCV and Mediapipe that lets you slash flying fruits with real-time hand tracking.

collision-detection handtracking mediapipe mediapipe-hands motiondetection numpy opencv pygame python

Last synced: 06 May 2026

https://github.com/vjpaij/datascience-udemy

Various basic codes on datascience

machine-learning matplotlib numpy pandas python seaborn

Last synced: 15 Apr 2026

https://github.com/claby2/mouse-track

Track, display, and graph the position of a mouse cursor.

c cpp matplotlib numpy python sdl2 windows

Last synced: 12 Apr 2026

https://github.com/abynxv/automatedexamsheetgrader-ocr

This Python project automates grading of handwritten or printed answer sheets using OCR (Optical Character Recognition). It extracts student answers from scanned images, compares them to an answer key, and generates a detailed report with class statistics.

numpy ocr-recognition opencv pandas python3 tesseract

Last synced: 27 Jun 2025

https://github.com/baschin1103/principal_component_analysis

In this repository you find a python program and the prints and 3D-visualization of it. After the KNN-Classification I wanted to know which variables have the most relevance for the results. One approach for this is the Principal-Component-Analysis (PCA). More details in the python program as comments.

3d-printing labelencoder matplotlib numpy pandas principal-component-analysis sklearn-library sqlalchemy standardization variable-importance

Last synced: 13 May 2026

https://github.com/joeylemon/python-kmeans

an implementation of the K-means clustering algorithm in Python

k-means-clustering matplotlib ml numpy python

Last synced: 21 May 2026

https://github.com/abdelmajidlh/fifa19

Ce projet conciste à analyser et visualiser les données FIFA19. Il est destiné aux jeunes data analystes ou ceux et celles qui souhaite apprendre la programmation Python. Le projet sera mis à jour au fur et à mesure.

fifa matplotlib numpy pandas python seaborn

Last synced: 16 Apr 2026

https://github.com/rtmigo/markov_walk_py

🔢 Python module that calculates probabilities for a random walk in 1-dimensional discrete state space

absorbing-markov-chains absorbing-states markov-chain mathematics numpy probability probability-theory random-walk stochastic-matrix stochastic-models

Last synced: 21 May 2026

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

This repository contains a machine learning project focused on predicting the survival of passengers on the Titanic. The project uses a Support Vector Regression (SVR) model from the sklearn library and involves data preprocessing and prediction.

data-preprocessing matplotlib numpy pandas python scikit-learn support-vector-regression

Last synced: 08 Apr 2026

https://github.com/tushar365/titanic---machine-learning-from-disaster

"Titanic: Machine Learning from Disaster" is a classic Kaggle competition for beginners https://www.kaggle.com/competitions/titanic. The goal is to use machine learning to predict which passengers survived the sinking of the Titanic based on historical data. This teaches data analysis and model building skills in a real-world context.

data-science dicision-tree logistic-regression machine-learning matplotlib-pyplot numpy pandas python seaborn

Last synced: 19 Apr 2026

https://github.com/khaja-shaik-21/heart-disease-prediction-system

This form allows users to enter key health details like age, blood pressure, cholesterol levels, and exercise results to predict the likelihood of heart disease. The data is submitted to the backend for processing, where a machine learning model provides a prediction. The form is styled for a clean and responsive user experience.

css3 flask-application git html5 logestic-regression numpy pandas python3 scikit-learn

Last synced: 12 Apr 2026

https://github.com/abidhasanrafi/pharma-sales-analytics

A Streamlit-powered web application for analyzing pharmaceutical sales performance across teams, products, and territories.

matplotlib numpy pandas plotly sales-analysis scikit-learn seaborn streamlit

Last synced: 08 Apr 2026

https://github.com/kumpatlapavankumar/recognizing-flowers-with-convolutional-neural-networks

This project uses a Convolutional Neural Network (CNN) to classify flower images into five categories: Daisy, Dandelion, Rose, Sunflower, and Tulip. The model is trained on the Flowers Recognition dataset with image augmentation techniques to enhance generalization.

cnn-keras coding data-science deep-learning enjoying flower-classification machine-learning numpy opencv2 pandas pathlib pillow python tensorflow testing training

Last synced: 08 Apr 2026

https://github.com/vyjayanthipolapragada/human_detection_hog

Detect humans in real-time, image or video and count the detected people using OpenCV and HOG Descriptor

computer-vision easygui hog-descriptor human-detection image-processing imutils numpy opencv os python support-vector-machine

Last synced: 06 May 2026

https://github.com/suryavamsi-p/youtube-trends-and-tracks-engagement

This project aims to leverage Python’s robust visualization libraries to derive deep insights from YouTube video trends data. Using the 'youtube.csv' dataset, this analysis explores the dynamics of YouTube video attributes such as views, likes, dislikes, and comment counts to understand user engagement and their emotional insights.

dash datavisualization hypothesis-testing matplotlib normality-test numpy pandas python3 scipy seaborn visual-studio-code

Last synced: 03 Nov 2025

https://github.com/mhmudfzli/loan-approval-prediction

This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance

automl catboost numpy pandas python scikit-learn seaborn

Last synced: 08 Apr 2026

https://github.com/praju-1/data_science_projects

It contains the necessary code, datasets, and documentation to understand, replicate, and build upon the project's findings and methodologies.

data-science datasets deep-learning exploratory-data-analysis machine-learning matplotlib numpy pandas predictive-analytics python seaborn sklearn statistics visualization

Last synced: 08 Apr 2026