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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/prathicashettym/machinelearningalgorithms

Contains mini projects and implementation using ML algorithms

jupyter-notebook linear-regression matplotlib numpy pandas panfas python seaborn

Last synced: 03 May 2026

https://github.com/sadmanca/imdb-scraper

Scrapes IMDb's movie database and outputs the data to CSV files.

beautifulsoup data-scraping imdb numpy pandas python requests

Last synced: 03 May 2026

https://github.com/mzayles/data-preparation.py

Curso Programação em Python para Data Science | Preparando e tratando dados de uma base de vendas com Pandas e NumPy.

numpy pandas python

Last synced: 03 May 2026

https://github.com/shreenidhi7700/auto_price_prediction

We are required to use Machine Learning algorithms to predict the price of cars with the available independent variables such as Horsepower, no-of-cylinders, engine-type, city_mpg, highway_mpg etc.

decision-tree-regression ensemble knn-regression linear-regression machine-learning-algorithms matplotlib-pyplot numpy pandas python3 random-forest-regression regression seaborn xgboost-regression

Last synced: 04 May 2026

https://github.com/akhil-krishnan-r/super_market_analysis

The growth of supermarkets in most populated cities are increasing and market competitions are also high. This dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this dataset

data-visualization matplotlib numpy pandas seaborn

Last synced: 03 May 2026

https://github.com/vinicius999/icu-beds-forecast-covid-19

Predição da ocupação de leitos de UTI no Brasil devido a pandemia do COVID-19, usando Support Vector Regression (SVR)

covid-19 matplotlib numpy pandas python sklearn support-vector-regression

Last synced: 03 May 2026

https://github.com/kaustavmodak/business-aided-customer-feedback-assessment-system

A Streamlit-based sentiment analysis app that classifies customer reviews into Positive, Neutral, or Negative using a pre-trained ML mode

framework machine-learning matplotlib nlp nltk numpy pandas pickle regex scikit-learn seaborn sentiment-analysis streamlt tfidf-vectorizer

Last synced: 03 May 2026

https://github.com/carol-neto/sprint-9-making-data-driven-business-decisions

In this project I evaluate hypotheses using ICE and RICE and perform A/B testing analysis.

abtesting dataanalysis hypothesis-testing matplotlib numpy pandas python scipy-stats seaborn

Last synced: 03 May 2026

https://github.com/manikantasanjay/youtube_exploratory_data_analytics

This is a Mini Project made using Python Libraries like Numpy, Pandas, Matplotlib etc to perform Data Analytics on US Video and Comments dataset.

jupyter-notebook matplotlib numpy pandas plotly python seaborn wordcloud

Last synced: 03 May 2026

https://github.com/syed-m-nofel/python-data-science-fundamentals

Python notebooks for data manipulation (Pandas/NumPy) and API workflows – from basics to practical examples.

api beginner-friendly data-analysis data-science http-requests jupyter-notebook numpy pandas pandas-dataframe python tutorial

Last synced: 03 May 2026

https://github.com/ankitgmishra/machinelearning

Continuously deep diving in understanding & advancing my expertise in Machine Learning through ongoing education and hands on experience with practical learning.

artificial-intelligence data-analysis data-cleaning data-gathering machine-learning machinel-learning-algorithms matplotlib numpy pandas python seaborn

Last synced: 03 May 2026

https://github.com/asayda01/airport_operations_analytics

The project analyzes the performance of Hold Baggage Screening X-ray Machines, identifying trends in system load, bottlenecks, and operator efficiency. Using an interactive Streamlit app, users can explore data-driven insights to optimize airport screening processes and improve overall operational performance.

data-science dataanalysis datainsights datavisualization numpy pandas python streamlit

Last synced: 03 May 2026

https://github.com/coderooz/handwritten_digit_recognition

This project uses a Convolutional Neural Network (CNN) to recognize handwritten digits from the MNIST dataset. The model is built using TensorFlow and Keras.

colab handwritten-digit-recognition image-classification matplotlib neural-network numpy python tensorflow

Last synced: 03 May 2026

https://github.com/feguedi/clasificador-numeros

Proyecto final de la materia de Inteligencia Artificial donde se desarrolla un software que pueda clasificar los números de la base de datos MNIST.

artificial-intelligence numpy python3

Last synced: 03 May 2026

https://github.com/naritanara/tf-test

Mostres de ML i IA amb TensorFlow basades en els tutorials oficials per al PR

numpy python research-project tensorflow tensorflow-tutorials

Last synced: 03 May 2026

https://github.com/atchayaah/home-value-insights-kc

Data-driven project predicting King County housing prices using EDA, regression models, and ML techniques, developed as part of IBM’s Data Analysis with Python course on Coursera.

joblib matplotlib numpy pandas pickle python scikit-learn seaborn

Last synced: 03 May 2026

https://github.com/joao-inacio/numpy-essencial-para-desenvolvedores-python

O curso foi elaborado para desenvolvedores Python que desejam explorar os recursos poderosos da biblioteca NumPy. Através de aulas práticas, eu vou adquirir as habilidades necessárias para trabalhar com arrays multidimensionais, realizar cálculos científicos complexos e manipular dados com eficiência.

array array-manipulations array-methods jupyter-notebook numpy python python3

Last synced: 03 May 2026

https://github.com/grachale/convolution_image

The implementation of a function that takes an image (RGB or gray one) and a filter (kernel) and applies a convolution between them.

convolution image-processing numpy python

Last synced: 03 May 2026

https://github.com/fnfkkengine/website-performance-data-analysis-project

🌐 Analyze website performance data to gain insights on user engagement, traffic trends, and optimize your digital presence effectively.

analysis analytics dashboard data-analyst data-collection data-preprocessing data-visualization dax funnel-analysis jupyter-notebook matplotlib mysql numpy paid-search power-query project-management python storytelling

Last synced: 04 May 2026

https://github.com/yareva/linear-regression-predictor

Linear Regression Predictor Model

matplotlib numpy pandas python sckit-learn

Last synced: 04 May 2026

https://github.com/dr-rompecabezas/medical-data-visualizer

[freeCodeCamp] Medical Data Viz Jupyter Notebook built with Matplotlib and Seaborn

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 04 May 2026

https://github.com/pomxark/smartdictor_0.1_nuitka_cleer

Распознание и озвучивание голосовым движком текста с экрана.

cv2 fuzzywuzzy kivy matplotlib-pyplot nuitka numpy pil pyautogui pyqt5 pytesseract pyttsx3 scipy silero simpleaudio torch

Last synced: 04 May 2026

https://github.com/timothyjan/intro-machine-learning-polynomial-regression

We use NumPy to implement vectorized linear and polynomial regression models and compare their performance using separate training and test sets.

numpy

Last synced: 04 May 2026

https://github.com/jalijuhola/neurcomputing-course

Some of tasks from neurocomputing course

mypy numpy python

Last synced: 04 May 2026

https://github.com/damisparks/become_data_analyst

Are you new to Data Analysis ? Here you will find simple notebook that will help through your journey. These are personal projects I work on and still working.

data data-analysis data-visualization matplotlib numpy pandas-tutorial

Last synced: 04 May 2026

https://github.com/mchenryspagg/investigate_a_dataset

This is a data analysis project that demonstrates the student's ability to use python data analysis libraries such as pandas, numpy and pyplot in matplotlib to investigate a dataset and answer specific questions from the dataset, thus demonstrating skills in data cleaning, data wrangling, and exploratory data analysis.

data-analysis datetime descriptive-analysis descriptive-statistics exploratory-data-analysis numpy pandas pyplot python visualization

Last synced: 04 May 2026

https://github.com/arsalan692/python-telusko-playlist

A collection of beginner Python scripts and practice exercises from my early learning days, inspired by Telusko and other resources.

basic-programming bs4 matplotlib numpy oop pandas python requests selenium tkinter

Last synced: 04 May 2026

https://github.com/miozilla/fescarefine

fescarefine :skier::mount_fuji::guide_dog: : Refine & Test ML Models # Features Scaling # Normalization # Datasets

gradient-descent linear-regression matplotlib model-testing mse norm numpy ols overfit pandas scatter seaborn sklearn standardization statsmodels underfit

Last synced: 04 May 2026

https://github.com/dmarks84/coursework_project_nlp-with-nltk

Project for University of Michigan Applied Data Science Specialization -- Utilized NLTK library to process natural language, and then built several spelling recommenders for a list of misspelled words.

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

Last synced: 13 Apr 2026

https://github.com/lmtreser/intro-data-science

Trayecto de formación en Ciencias de Datos con Python y Pandas

data-science matplotlib numpy pandas python seaborn

Last synced: 13 Apr 2026

https://github.com/pakagronglb/istanbul-restaurant-tips-prediction

This project focuses on predicting restaurant tips in Istanbul using machine learning techniques, specifically Linear Regression. The analysis includes data preprocessing, exploratory data analysis (EDA), model training, and evaluation.

kaggle matplotlib numpy pandas prediction python scikit-learn seaborn

Last synced: 08 Apr 2026

https://github.com/beberiche/jeon-woo-chi

지역 축제를 기반으로 하는, 게이미피케이션을 접목시킨 지역 상권 맞춤 추천 서비스

aws django docker elasticsearch grafana jenkins kibana logstash numpy pandas phaserjs prometheus react react-query recoil redis spring-boot tensorflow typescript zipkin

Last synced: 10 Mar 2026

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

Implementing SVM's using pandas and sklearn in python

numpy pandas sklearn support-vector-machines svm

Last synced: 13 Apr 2026

https://github.com/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/gustavoaca1997/placa-orificio-velocidad

script en python3 para obtener la velocidad de una placa orificio mediante tanteos

chemistry numerical-calculations numerical-methods numpy python

Last synced: 01 May 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/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/gerardomacedo/ml-from-scratch

Logistic regression from scratch (NumPy) with tests and CLI; compared vs scikit-learn

ci-cd from-scratch logistic-regresion machine-learning numpy python unittest

Last synced: 23 Jun 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/cyb3r-jak3/docker-alpine-pandas

Python alpine image with pandas, and numpy installed

alpine-image numpy pandas-python python-alpine

Last synced: 30 May 2026

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

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

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

Last synced: 13 Jul 2025

https://github.com/bhuvilol/objdetect_img

Object Detecttion from a image input

numpy opencv python3 pytorch yolov8

Last synced: 04 Feb 2026

https://github.com/collins-kimotho/wrangle-and-analyze-project

Data Wrangling and Analysis Project: Analyzing WeRateDogs Twitter Account Data

explanatory-data-analysis exploratory-data-analysis matplotlib numpy pandas python twitter twitter-api

Last synced: 11 May 2026

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

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

matplotlib-animation matplotlib-pyplot numpy

Last synced: 13 May 2026

https://github.com/2100031988/programming_for_aiml_codes

All of my descriptive code are published here and is updated everyday as I learn new concepts

dataset numpy pandas pipeline python visual-studio visualization

Last synced: 28 May 2026

https://github.com/alaazameldev/text-based-search-engine

Implementation of a search engine using TF-IDF and Word Embedding-based vectorization techniques for efficient document retrieval

chromadb fastapi gensim-word2vec nltk numpy precision-recall python scikit-learn tf-idf-vectorizer

Last synced: 20 Jan 2026

https://github.com/shreeparab1890/heart-attack-analysis-prediction-accuracy-85.24

This iPython Notebook implements the Analysis and Predictions for Heart Attack. The Analysis is done on the dataset to identify the key features which has a impact on Heart Attack. After the analysis and data cleaning, the dataset is used to train the model using different ML algorithm.

eda exploratory-data-analysis matplotlib numpy pandas plotly prediction python scikit sklearn

Last synced: 13 Apr 2026

https://github.com/doondigangadhar30/ghiblify-animeganv3

A creative tool that generates beautiful Ghibli-style artwork from your image input.

colab-notebook jupyter-notebook numpy onnxruntime opencv python

Last synced: 01 Jul 2025

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

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

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

Last synced: 13 Apr 2026

https://github.com/tigureis/analise_dataset_campanha_marketing

O projeto visa melhorar a eficácia das campanhas de marketing através da análise de dados e da construção de um modelo preditivo.

numpy pandas plotly seaborn sklearn xgbo

Last synced: 13 Apr 2026

https://github.com/vedikasnehil/daily-leetcode-

Daily LeetCode Using Python is a project dedicated to solving coding challenges consistently using Python. It focuses on improving problem-solving skills, mastering Python techniques, and building a collection of clean, well-documented solutions. Perfect for interview preparation, learning algorithms, or daily coding practice!

matplotlib numpy pandas python python3 seaborn

Last synced: 13 Apr 2026

https://github.com/alexpeits/indicator-plot

Gtk3 indicator for generating 2d plots from user input

gtk indicator numpy plot sympy

Last synced: 13 Apr 2026

https://github.com/blacksujit/neural_network_using_numpy_and_math

Inspired from a repo . i have implemented an some ground level maths and logic . In this neural network no tensorflow , pytorch is used it is just prepared by using numpy and some logical math.

algorithmic-composition basics-of-python calculus criticalthinking innovation machine-learning maths neural-network neuralnetworkusingnumpy numpy purebasics

Last synced: 26 Aug 2025

https://github.com/danny-1k/nnpy

Neural network library written from scratch in numpy

deep-learning neural-networks-from-scratch numpy python

Last synced: 17 May 2026

https://github.com/lupin3000/augmentedreality

Introduction into augmented reality (AR) with Python OpenCV ArUco markers.

aruco aruco-marker camera-calibration marker-detection numpy opencv pose-estimation python

Last synced: 13 Apr 2026

https://gitlab.com/DLR-SY/mcodac

MCODAC is a Fortran library for the numerical evaluation of fiber composite damage. The library contains analysis methods specifically tailored to fiber composites, from micromechanical homogenization approaches to macroscopic fatigue models of orthotropic multilayer composites.

fortran numpy python

Last synced: 02 Apr 2025

https://github.com/muhammad-rebaal/eda-with-python-and-pandas

Explore, Analyze, and Visualize Data with Python and Pandas: Dive into the world of data analysis and visualization using Python and Pandas with this repository. Discover valuable insights, clean and preprocess your data, and create stunning visualizations to make data-driven decisions.

calmap matplotlib numpy pandas python python3 seaborn

Last synced: 07 May 2026

https://github.com/subratamondal1/heart-attack-prediction

Heart Attack Prediction of patients based on the required data. Data Ingestion - Data Preparation - Exploratory Data Analysis (EDA) - Modelling - Evaluation.

data-analysis data-science data-visualization kaggle-dataset machine-learning matplotlib-pyplot numpy pandas python3 scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/hmourad2023/tweets_sentiments_emotions_analysis

Les réseaux sociaux, et en particulier Twitter, sont des plateformes essentielles où les utilisateurs expriment leurs sentiments et émotions au quotidien. Analyser les tweets peut fournir des informations précieuses sur l’humeur collective et les préoccupations des gens. Ce projet utilise un dataset de tweets disponible sur Kaggle

nltk numpy pandas sklearn

Last synced: 01 Aug 2025

https://github.com/deanlogan/data-analysis-course

Code created when completing the Data Analysis with Python Course on freecodecamp.org

course data-analysis numpy pandas python python3

Last synced: 06 May 2026

https://github.com/cycle-sync-ai/student-score-analysis

A data-driven student performance analysis project using UCI dataset (396 students, 33 features). Implements machine learning models (K-means, PCA, Decision Tree, Random Forest, Linear Regression) to analyze academic patterns and predict student scores based on lifestyle, health, and study habits.

clustering clustering-algorithm decision-trees feature-engineering learning-management-system linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas pca pickle prediction prediction-algorithm scikit-learn score seaborn student

Last synced: 06 May 2026

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

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

climate-data jupyter-notebook numpy python temperature-data

Last synced: 10 May 2026

https://github.com/csengupta1101/housing-price-prediction

Based on given features , this project deals with the prediction of house prices. From data extraction till deployment , everything is detailed in here.

jupyter-notebook matplotlib numpy pandas python python3 scikit-learn vscode

Last synced: 11 Apr 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/kostadinlambov/time-series-forecasting

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

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

Last synced: 07 Apr 2026

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

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

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

Last synced: 12 Apr 2026

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/akashash01/support_vector_machine

It's an linear model for classification and regression problems. It can solve non-linear problems by creating a hyperplane which separates the data into classes using KERNAL .

data-science datavisualization machine-learning numpy pandas python sklearn svm-classifier

Last synced: 13 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/kavayk29/text-summarization-fine-tuning-pegasus-model

This project uses the Pegasus model to generate concise, coherent text summaries. Fine-tuned on large datasets, it excels in abstractive summarization, ideal for automating tasks like summarizing articles and research papers.

datasets huggingface-transformers matplotlib nltk numpy pandas teansform tqdm

Last synced: 06 May 2026

https://github.com/timeless-residents/handson-tensorflow-numpy

A practical guide to learning and using TensorFlow and NumPy for data manipulation and machine learning

data-science machine-learning numpy tensorflow tutorial

Last synced: 06 May 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/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/christabelsakyi/product_purchase_prediction

As a newly hired AI Engineer, your task is to predict customer behavior based on various features such as age, income, and gender. This exercise involves cleaning the data, training a decision tree model, and evaluating the model's performance to understand the key factors influencing customer purchasing decisions.

machine-learning matplotlib-pyplot numpy python seaborn sklearn

Last synced: 08 May 2026

https://github.com/umer-farooq-cs/california-housing-regression

Linear Regression experiments on the California Housing dataset across five phases, using NumPy and scikit-learn only (no pandas). Includes EDA, polynomial features, SGD with scaling, residuals, 5-fold CV, and an LNCS-style report with figures.

california-housing cross-validation deep-learning-for-perception linear-regression numpy polynomial-features reproducible-research residual-analysis sgd sklearn

Last synced: 09 May 2026

https://github.com/zolppy/recommendation-system

This project demonstrates the creation of a content-based image recommendation system. It leverages a pre-trained VGG16 deep learning model to extract meaningful feature vectors from images. These features are then compared using cosine similarity to identify and recommend visually similar images.

computer-vision deep-learning keras machine-learning numpy recommendation-system sklearn tensorflow vgg16

Last synced: 12 Apr 2026

https://github.com/thkox/uni_2023-content-based-image-retrieval

This project is a team assignment for the "Image Analysis" course, offered in the 7th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.

7th-semester cartesian-product content-based-image-retrieval department-of-informatics hyperedge-similarity-calculation hypergraph image-analysis matplotlib networkx numpy python rank-normalization scipy torchvision university-of-piraeus

Last synced: 08 Oct 2025

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/lluispp/hunting_for_exoplanets_with_ai

An AI-powered tool that classifies exoplanets using NASA datasets and provides an interactive web interface for real-time exploration and discovery.

ai challenge exoplanets nasa numpy python spaceappchallenge-2025 spaceapps swai web

Last synced: 18 May 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

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