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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/monddavila/online-retail-data-analysis

Online Retail Exploratory Data Analysis with Python

data-analysis jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 29 Apr 2026

https://github.com/venkat-0706/titanic-survival-prediction

A machine learning project predicting Titanic passenger survival using data preprocessing, feature engineering, and model optimization with Logistic Regression, Random Forest, and XGBoost.

classification-report confusion-matrix gridsearchcv matplotlib numpy onehot-encoder pandas sckit-learn seaborn train-test-split xgboost

Last synced: 09 May 2026

https://github.com/yoavram/numpycharm

Some examples on using PyCharm with Scientific Python

cython numpy pycharm python scientific-computing training-materials

Last synced: 11 Apr 2026

https://github.com/amirali5/numpy

In this repo, all about NumPy which basically a Python Library used for multidimensional array. It also has functions for working in domain of linear algebra, fourier transform, and matrices. NumPy was created in 2005 by Travis Oliphant. It is an open source project and you can use it freely.

numpy

Last synced: 30 Apr 2026

https://github.com/victor-gp/tfg-h16b

The code for my bachelor's thesis, a numerical exploration of the second part of Hilbert's 16th problem

bachelor-thesis dynamical-systems matplotlib-pyplot numpy odeint

Last synced: 30 Apr 2026

https://github.com/maguids/supervised-learning---video-games

This project consists on exploratory data analysis and the application of supervised learning models for classification using a Video Games dataset. Second Semester of the First Year of the Bachelor's Degree in Artificial Intelligence and Data Science.

jupyter-notebook machine-learning matplotlib numpy pandas scikit-learn seaborn supervised-learning

Last synced: 30 Apr 2026

https://github.com/tapishr/numpy-rnn

Implementation of an RNN using numpy library in python

numpy python recursive-neural-network rnn

Last synced: 30 Apr 2026

https://github.com/ebadshabbir/naive_bayes_classification-gaussain-

A Python project that applies Naive Bayes classification to predict user purchases based on age and salary using the Social Network Ads dataset. The project includes data preprocessing, model training, prediction, and visualization of decision boundaries for both training and test datasets.

classification gaussian jupyter-notebook machine-learning matplotlib-pyplot naive-bayes-classifier numpy pandas python

Last synced: 30 Apr 2026

https://github.com/alirezasaharkhiz9/python-for-dataanalysis

The educational repository for data manipulation and analysis with the libraries numpy, pandas, and matplotlib.

matplotlib numpy pandas

Last synced: 30 Apr 2026

https://github.com/fikri-rouzan/student-stress-levels-classification

Proyek pemodelan machine learning untuk mengklasifikasikan tingkat stres mahasiswa berdasarkan parameter input akademik dan psikologis.

joblib jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn streamlit

Last synced: 08 Jun 2026

https://github.com/shaikats/python-assignment

Simulation and Modeling Lab assignments using Python, NumPy, Matplotlib, and Jupyter Notebook.

jupyter-notebook matplotlib numpy python simulation-modeling

Last synced: 09 May 2026

https://github.com/yashbhutwala/pong-ai

Deep Q-Learning Networks vs. Policy Gradient Learning in OpenAI Gym's Pong Environment

deep-q-learning numpy openai-gym policy-gradient pong python tensorflow

Last synced: 30 Apr 2026

https://github.com/danchik12/habr_scraping

Parsing Habr articles and saving in csv format

csv fake-useragent numpy pandas parser python3

Last synced: 30 Apr 2026

https://github.com/poltanek/crane-random-search

Skeleton code for a simulation of a problem similar to the Crane problem however, implementing using random search algorithm expending random nodes

numpy python python3 random-search-algorithm

Last synced: 01 May 2026

https://github.com/ddeepanshu-997/datascience-e-commerce-shopping-details-

in this project i am going to apply data preprocessing technique on the dataset in order to clean the data using libraries, etc. make some insights/analyses to findout the hotpicks of the shopping along with some data visualsation libraries to get the trends and many more aspects in order to make a small contribution to the field of data science

cleaning-data data data-science data-visualization dataframe datapreprocessing dataset libraries matplotlib-pyplot numpy pandas plots python visualization

Last synced: 30 Apr 2026

https://github.com/darinochka/course_python_iad

ДЗ\Семинары майнора "Интеллектуальный анализ данных"

machine-learning numpy pandas python3

Last synced: 30 Apr 2026

https://github.com/nahiyanhkhan/data-processing-and-visualization

Loan Data Processing using Python's numpy and pandas libraries. For data visualization, matplotlib and seaborn are used.

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

Last synced: 09 May 2026

https://github.com/khaymanii/spam_mail_detection_model

This model was built using Python and Logistics Regression algorithm

matplotlib numpy pandas python sckiit-learn

Last synced: 10 Apr 2026

https://github.com/ola-kaznowska/summer-programming-camp-gp-travel-2024

Projects implemented at summer programming camp https://github.com/ArsBeneMoriendi

ai artificial-intelligence cv2 json math neural-network numpy python3 tensorflow

Last synced: 30 Apr 2026

https://github.com/badranalyst/e-commerce-customer-analysis-data-science-foundations-case-study

This case study explores e-commerce customer data through data exploration, pre-processing, and splitting. It includes model building and training to analyze customer behavior. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used for the analysis and model development.

data-analysis data-science dataset eda exploratory-data-analysis machine-learning matplotlib ml model-building model-training numpy pandas pre-processing python seaborn

Last synced: 01 May 2026

https://github.com/bjpcjp/optimize-mktg-spend-with-lagrange

simple demo of marketing (2 channel) spend optimization

lagrange matplotlib matplotlib-pyplot numpy python scipy

Last synced: 01 May 2026

https://github.com/munawar-code/car_price_predictor

This project is a ML-based car price prediction system. The model is built using Jupyter Notebook for training and evaluation, while a simple one-page website was developed using Pycharm to provide interface for users to input car details and get price predictions.

datapreprocessing datavisualization exploratory-data-analysis feature-engineering flask-application html-css-javascript linear-regression machine-learning-algorithms matplotlib numpy pandas python scikitlearn-machine-learning

Last synced: 13 Apr 2026

https://github.com/splithor1zon/edu-barriermethodlp

Education material for learning/teaching of Linear Progrmming using Barrier Method. Presentation with commentary and python code available.

barrier-method convex-optimization cvxpy educational-project linear-programming numpy presentation python

Last synced: 01 May 2026

https://github.com/sairupeshl/portfolio-risk-calculator

A portfolio risk engine using Python, integrating the Yahoo Finance API to ingest and preprocess historical multi-asset price data

numpy pandas python yfinance

Last synced: 08 Jun 2026

https://github.com/hghyhghy/notebook

Repo consist numpy , matplotlib and pymongo aggression

jupyter-notebook matplotlib numpy pymongo python-3

Last synced: 01 May 2026

https://github.com/abdoomohamedd/python-data-analysis-projects

A collection of data analysis projects that I have worked on. Each project involves cleaning data, performing exploratory data analysis (EDA), and creating visualizations to extract insights. The projects utilize various Python libraries, including pandas, numpy, matp

data-analysis data-analysis-python data-cleaning data-visualization matplotlib matplotlib-pyplot numpy pandas python

Last synced: 01 May 2026

https://github.com/mairagalvao/final_grades

An analysis of the final grades of students using Python

matplotlib numpy pandas python3

Last synced: 09 May 2026

https://github.com/dostuffthatmatters/jax-capability-analysis

demo repository containing the experiments for my master's seminar @ TUM

autograd click deep-learning huggingface jax jit-compilation mnist numpy python pytorch

Last synced: 01 May 2026

https://github.com/aroojzahra908/machine-learning

This repository contains helpful guides and materials for easily understanding Pandas, NumPy, and Matplotlib libraries, which are essential tools for creating visual representations of data.

algorithms machine-learning-algorithms matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/laszlokorte/canny-notebook

Numpy Canny Edge detector implementation to visualize each step

canny-edge-detection image-processing jupyter-notebook numpy

Last synced: 02 May 2026

https://github.com/v-goncharenko/freespace

Implementation of signal propagation in free space

numpy python signal-processing

Last synced: 02 May 2026

https://github.com/lipskiyp/trading_dashboard

Pandas framework to analyze financial time-series and calculate various performance metrics (e.g. Sharpe Ratio and Max Drawdown Duration).

financial-analysis numpy pandas

Last synced: 02 May 2026

https://github.com/lfgodoi/rpm-deep-estimator

A deep learning-based RPM estimator based on spectral features extracted from vibration signals of rotating machines.

condition-monitoring deep-learning docker flask neural-networks numpy python scipy signal-processing spectral-analysis

Last synced: 26 Feb 2025

https://github.com/amishidesai04/emergency-calls-data-analysis-project

Welcome to the Emergency Calls Data Analysis project repository. This project is dedicated to extracting, processing, and visualizing data from the "Emergency – 911 Calls, Montgomery County" dataset, sourced from Kaggle. The main objective is to analyze trends in emergency calls in Montgomery County, Pennsylvania, spanning multiple years.

analysis data-analysis data-extraction data-processing data-science data-visualization numpy pandas python seaborn

Last synced: 02 May 2026

https://github.com/chuvalniy/tulia

Contains self-implemented Machine Learning algorithms using only numpy.

boosting from-scratch knn learning logistic-regression machine ml numpy python random-forest regression sklearn testing xgboost

Last synced: 09 May 2026

https://github.com/andremenezesds/machine_learning_test

Testing among various Machine Learning models and parameters, in order to further study their behaviour for Classification, Regression and Clustering analysis.

classification-models clustering-models machine-learning numpy pandas regression-models sklearn

Last synced: 02 May 2026

https://github.com/ameykasbe/credit-card-fraud-detection-on-imbalanced-dataset

Examined data preprocessing techniques and performance of six different predictive models in Python to credit card fraud detection problem on an imbalanced dataset. Algorithms implemented - Logistic Regression, K Nearest Neighbours, Support Vector Classification, Naïve Bayes Classifier, Decision Tree Classifier, and Random Forest Classifier.

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

Last synced: 10 Apr 2026

https://github.com/chanmeng666/advanced-neural-network-applications

Practical implementations of perceptron and linear neuron models for classification and regression, with mathematical analysis and visualizations in Jupyter notebooks.

classification data-analysis data-science educational gradient-descent jupyter-notebook linear-neuron machine-learning matplotlib neural-network neural-networks numpy perceptron python regression

Last synced: 03 May 2026

https://github.com/matiassenia/modelo-prediccion-temperatura

Proyecto de machine learning que utiliza TensorFlow para predecir temperaturas en grados Fahrenheit a partir de temperaturas en grados Celsius. Incluye un script de Python para entrenar el modelo y realizar predicciones, así como datos de entrenamiento y visualizaciones

adam-optimizer machine-learning numpy python python3 tensorflow

Last synced: 11 Apr 2026

https://github.com/badranalyst/movie-correlation-analysis-in-python

This project analyzes movie data correlations using Python libraries like Pandas, NumPy, Seaborn, and Matplotlib. It examines relationships between attributes such as ratings, genres, and box office performance to uncover trends that inform recommendations and enhance understanding of movie success factors.

data data-analysis dataset jupyter jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python seaborn

Last synced: 03 May 2026

https://github.com/krumyakimov/house-price-developments-in-bulgaria

I developed this project for my final exam in the Data Science course at SoftUni.

data-science jupyter-notebook matplotlib numpy pandas scipy seaborn

Last synced: 03 May 2026

https://github.com/alexbie98/bietorch

neural nets with numpy

autograd neural-nets numpy torch

Last synced: 03 May 2026

https://github.com/fandredev/ml-my-guide

my own annotations about ML/DS using pandas, matplotlib, numpy, scikit learn

anaconda matplotlib numpy pandas plotly scikit-learn seaborn

Last synced: 03 May 2026

https://github.com/k-ilyas/ai-projects-handwritten-digit-recognition-titanic-survivor-analysis

AI Projects: Handwritten Digit Recognition & Titanic Survivor Analysis using scikit-learn

machine-learning numpy pandas sickit-learn

Last synced: 03 May 2026

https://github.com/broodhoney/heart-disease-prediction

This is a machine learning project which has a trained model that classifies whether a patient has a heart-disease or not.

kaggle-dataset matplotlib numpy pandas python scikit-learn scikitlearn-machine-learning uci

Last synced: 10 Apr 2026

https://github.com/mani-prakash-n-r/stock_market_prediction_system

This project uses LSTM networks to predict stock prices based on historical data, providing insights for informed investment decisions..LSTM, NumPy, Scikit-Learn, Matplotlib, yfinance and TensorFlow

lstm matplotlib numpy python sckiit-learn tensorflow yfinance

Last synced: 11 Apr 2026

https://github.com/hansalemaos/a_pandas_ex_fastloc

Up to 25 times faster than df.loc by combining np.select and numexpr.evaluate (works with utf-8)

dfloc fast iloc loc numexpr numpy pandas python

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/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/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/zongxr/dcic2025-riverwaterprediction

闽江，福建省最大独流入海河流，流域降水丰沛。在新型电力系统和新阶段水利高质量发展的环境下，如何缓解流域防汛压力，提升水资源利用率是水电企业高质量发展的重中之重。目前，基于传统水文学原理已实现未来9小时甲级精度的洪水预报，但存在遇见期与预见精度上仍有提升空间，因此，通过结合人工智能技术实现流域入库流量的精准预测，对保障水库安全调度、防洪及清洁能源稳定供应具有重大战略意义。

lightgbm machine-learning numpy pandas sklearn time-series xgboost

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/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/raduldev/datasciencepython

Interview Task From CSIR-IGIB, Delhi & maps for journal

biopython colab-notebook counter jupyter-notebook matplotlib numpy pandas

Last synced: 09 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/adityakumarda/kmeans-web-analytics

Built with Python, Pandas, and Scikit-learn, this machine learning project uses K-Means to cluster website users by behavior. It reveals patterns in engagement and bounce, helping drive data-informed decisions.

cluster-analysis elbow-curves elbow-method elbow-plot jupyter-notebook kmeans-clustering machine-learning matplotlib numpy pandas python python3 relationship scikit-learn seaborn sklearn

Last synced: 10 Apr 2026

https://github.com/no0bitah/pdf-highlight-extractor

A Python tool for extracting highlighted text from PDF files while preserving formatting attributes (headers, bold, italic) and removing unwanted line breaks and page breaks. Perfect for integrating with content management systems.

automation crm documentation-tool numpy opencv pdf pdf-document-processor pillow pymupdf pypdfium2 python3 scrapping

Last synced: 23 Jun 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/aymanmomin/facebook-ego-network-analysis-for-political-outreach-optimization

Analyzing Facebook ego networks to identify influential users and communities for optimizing political advertising. Leverages network science techniques (Louvain communities, centrality metrics, threshold models) to simulate influence spread.

community-detection course-project facebook-network-analysis louvain-algorithm louvain-community-detection matplotlib network-analysis network-graphs networkx-library numpy pandas python3 pyvisgraph research-paper scipy-stats sklearn-metrics tqdm

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/gnikit/fileio

A template allowing to read multiple columns of tab or space delimited files. Similar functionality to numpy.loadtxt()

cpp file-io library numpy

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/abhivur/graduate-income-forecaster

Contributors: Abdussalam Raheem, Chiara Su, and Joseph Botros

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 04 May 2026

https://github.com/sumaiyyaf/movie-industry-analysis

This project focuses on the acquisition and in-depth analysis of movie data to generate strategic recommendations, guiding our hypothetical company's successful entry into the movie industry.

exploratory-data-analysis numpy pandas python visualization webscraping

Last synced: 04 May 2026

https://github.com/florasteve/ml-foundations-day1

Day-1 ML foundations focused on linear algebra: vectors, dot products, norms, angles, projections, and basic matrix operations—implemented in a Jupyter notebook with NumPy/Matplotlib, clear 2D visuals, a self-quiz, and a brief reflection. Emphasizes how these math primitives map to core ML/AI ideas (similarity, least squares, geometric transforms).

ai data-science education jupyter-notebook linear-algebra machine-learning matplotlib numpy python3 terminal-mac tutorial visualization vscode

Last synced: 04 May 2026

https://github.com/nordic96/lanedetection

Lane Detection Module using OpenCv and Python for educational purpose.

computer-vision lane-detection matplotlib-pyplot numpy opencv python3

Last synced: 04 May 2026

https://github.com/udhaya2823/dataspark-illuminating-insights-for-global-electronics

✨DataSpark✨ is a powerful analytics project transforming raw retail data into actionable insights for Global Electronics. By leveraging Python, SQL, and interactive visualizations, it uncovers trends in customer behavior, sales performance, and product popularity, driving smarter business decisions and boosting growth.

data-science data-visualization database-management datacleaning exploratory-data-analysis matplotlib numpy pandas powerbi python seaborn sql version-control

Last synced: 11 Apr 2026

https://github.com/shamiul5201/selfie_app_features_application

OpenCV project to build skills in image processing: features include Cartoonify and Pencil Sketch effects in a Jupyter Notebook, blemish removal in a Python script, and chroma keying for videos. Perfect for exploring creative and practical computer vision techniques.

computer-vision numpy opencv python

Last synced: 04 May 2026

https://github.com/arjunravi26/selenium

This repository contains code from my learning about Selenium for web scraping and automation.

numpy python selenium time undetected-chrome webdriver

Last synced: 09 May 2026

https://github.com/swarup-ranjan-mondal/chat-analyzer

A streamlit app to analyze whatsapp personal and group chats.

matplotlib numpy pandas python seaborn streamlit

Last synced: 04 May 2026

https://github.com/bunu23/image-classification

This repository contains a notebook implementing a Convolutional Neural Network for multi-class image classification using transfer learning with a pre-trained ResNet-50 model. Covers dataset handling, model architecture customization, training, evaluation, fine-tuning, and external image prediction.

keras matplotlib numpy pil python tensorflow

Last synced: 11 Apr 2026

https://github.com/manuethomas/credit-default-risk-analysis-eda

This repository contains the detailed EDA analysis of Home Credit Group Dataset. The analysis aims to find demographic and financial factors associated with higher or lower default risks, providing actionable insights for risk mitigation and improved lending practices

bivariate-analysis correlation-analysis data-preprocessing exploratory-data-analysis exploratory-data-visualizations matplotlib numpy pandas seaborn univariate-analysis

Last synced: 04 May 2026

https://github.com/abhinav330/911-emergency-calls-analysis

This Python Notebook analyzes emergency call data from the '911.csv' dataset. It uses various data visualization techniques to explore and gain insights into the emergency call data, including the types of calls, reasons for calls, and call patterns over time.

data-analysis data-science data-visualization eda exploratory-data-analysis exploratory-data-visualizations numpy pandas python

Last synced: 09 Jun 2026

https://github.com/pnguyen215/pycelize

Pycelize is a Flask application designed for processing Excel and CSV files. It provides RESTful APIs for common data operations including extraction, normalization, mapping, SQL generation, and file binding.

excel lib numpy openpyxl pandas py-app pycelize python-service python3

Last synced: 17 Jun 2026

https://github.com/alexgustafsson/word-frequencies

Data and tools to compile word frequencies, trigrams and more for use with NLP, spelling correction etc.

language nlp nltk numpy python python3 sklearn spelling-correction trigram

Last synced: 10 May 2026

https://github.com/tim-w-james/python-data-reference-code

Python reference code for data visualization, machine learning and SQL

data-science jupyter-lab numpy python

Last synced: 10 May 2026

https://github.com/alphacrypto246/air-quality-prediction

The Air Pollution Prediction project forecasts pollution levels using the Air Quality UCI dataset, including variables like CO, NOx, temperature, and humidity. It analyzes temporal and environmental factors to predict air quality trends.

machine-learning numpy pandas scikitlearn-machine-learning sckiit-learn

Last synced: 10 May 2026

https://github.com/hanzopgp/randomkagglesolving

Trying to build models to resolve some interesting Kaggle datasets thanks to deep learning.

artificial-intelligence deep-learning jupyter-notebook machine-learning matplotlib numpy personal tensorflow

Last synced: 04 May 2026

https://github.com/dyrits/parite

OPENCLASSROOMS | PERFECTIONNEZ-VOUS EN PYTHON

matplotlib numpy pandas python

Last synced: 04 May 2026

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