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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/tsar123/coffee-quality-analysis

machine learning using RandomForestRegressor and dataset with coffee data

coffee ml numpy pandas randomforestregressor regressor-models sklearn

Last synced: 30 Apr 2026

https://github.com/fikri-rouzan/data-science-mathematics

Proyek implementasi perhitungan matematika untuk klasifikasi probabilistik Naive Bayes serta eksperimen statistik A/B testing pada sistem rekomendasi dan pengembangan perangkat lunak.

jupyter-notebook matplotlib numpy pandas python scipy seaborn

Last synced: 08 Jun 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/kingsley-ezenwaka/mean-var-std

This is a (mini) Python project, completed as part of the requirements for the Data Analysis with Python certification from freeCodeCamp.com.

numpy python

Last synced: 09 May 2026

https://github.com/professornova/ann-scratch

This repository implements a simple Artificial Neural Network (ANN) from scratch using only NumPy.

artificial-intelligence neural-network numpy scratch

Last synced: 30 Apr 2026

https://github.com/favalos/myway-to-nn

Project to store my understanding of Neural Networks.

jupiter-notebook neural-network numpy

Last synced: 30 Apr 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/sayginsaman/hand-gesture-desktop-controller

A comprehensive Python application that transforms your webcam into a powerful desktop control interface using computer vision and hand gesture recognition. Control media playback, volume, scrolling, and navigation with simple hand gestures - no mouse or keyboard required!

chmod gesture gesture-control gesture-detection gesture-recognition gestures media mediapipe numpy opencv pip pyautogui python

Last synced: 30 Apr 2026

https://github.com/abhiram-epuru/ai-powered-movie-recommender

A Movie Recommendation System using the MovieLens dataset, leveraging collaborative filtering techniques such as KNN (k-Nearest Neighbors) and Singular Value Decomposition (SVD). The project demonstrates a personalized recommendation model capable of suggesting movies based on user preferences and interaction data.

matplotlib numpy pandas python sckiit-learn seaborn

Last synced: 30 Apr 2026

https://github.com/beyzabasarir/spotify-youtube-eda

Exploratory Data Analysis of global songs' performance metrics on Spotify and YouTube with Python, using Jupyter Notebook.

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

Last synced: 30 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/johnrobertsantos/exploratory-data-analysis-using-python

This project represents the culmination of my Python learning journey.

jupyter matplotlib numpy pandas python seaborn

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/maroshmka/np-mlp-clf

Raw implementation of mlp classifier in python using numpy.

classification example-code learning machine-learning multilayer-perceptron neural-network numpy

Last synced: 14 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/bhawnamehbubani/advanced-zomato-restaurant-clustering-and-sentiment-analysis

This project leverages this data to perform clustering and sentiment analysis, providing actionable insights for customers and business growth.

matplotlib-pyplot nltk numpy pandas seaborn sklearn wordcloud

Last synced: 05 May 2026

https://github.com/sandip2512/play-store-app-review-analysis

EDA on Play Store apps and user sentiment reviews

eda heatmaps matplotlib numpy pandas plotly seaborn sentiment-analysis

Last synced: 01 May 2026

https://github.com/abideen-olawuwo/gender-detection

Gender Detection app

cv cv2 numpy

Last synced: 14 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/sivasurya681/financial-expense-tracker

The Financial Expense Tracker is a Python-based app built with Flet, Pandas, NumPy, and Matplotlib.pyplot for seamless expense management. It enables real-time tracking, categorization, and data visualization through bar and pie charts. Users can generate summaries, export/import data, and make informed financial decisions easily.

calculator-application differntial expense-tracker flet matplotlib-pyplot numpy pandas python salary-calculator total

Last synced: 09 May 2026

https://github.com/abrarshahok/electric-vehicle-charging-station-energy-consumption-prediction

With the rapid adoption of electric vehicles, optimizing energy usage at charging stations has become crucial for improving operational efficiency and ensuring customer satisfaction. This tool leverages predictive modeling to forecast energy consumption for charging sessions based on various input features.

matplotlib numpy pandas plotly python3 scikit-learn xgboost

Last synced: 09 Jun 2026

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

Dashboard para compreender as preferências musicais dos ouvintes, tendências regionais e o impacto de artistas específicos.

numpy pandas powerbi python

Last synced: 01 May 2026

https://github.com/offthetab/nn_homework

Практические работы по нейронным сетям МИРЭА 3 курс.

gensim ignite matplotlib neural-network nltk numpy pandas scipy-stats seaborn torch torchvision

Last synced: 01 May 2026

https://github.com/aniketwithpython/fundamentals-of-scientific-computing

Fundamentals of Scientific Computing (MS1980) Notebook

jupyter matplotlib numpy pandas python

Last synced: 01 May 2026

https://github.com/rgandhi8/inventory-management-system

This project is an AI-driven Inventory Management System designed to optimize supply chain efficiency by leveraging machine learning techniques for demand forecasting. The system integrates ARIMA and ANNs to predict inventory needs, minimize shortages, and reduce holding costs also enhances decision-making by automating inventory planning.

dashboard inventory-management-system machine-learning numpy pandas python seaborn

Last synced: 08 Jun 2026

https://github.com/dpb44/exploring-the-intuition-of-neural-networks-on-a-classification-problem-using-only-numpy

Implementing a softmax-based neural network from scratch using NumPy to classify the Iris dataset, leveraging vectorization, gradient descent, and decision boundary visualization.

deep-learning neural-network numpy softmax-classifier

Last synced: 02 May 2026

https://github.com/khushi130404/gradient_realm

Gradient_Realm is a Python project exploring regression techniques and optimization methods like Regularization, Batch, Stochastic, and Mini-batch Gradient Descent. It uses scikit-learn and custom implementations for hands-on learning.

batch-gradient-descent mini-batch-gradient-descent numpy stochastic-gradient-descent

Last synced: 14 Jun 2026

https://github.com/voidkeishi/computational-science

This repository contains implementations of algorithms from the course "Computational Science" at HUST

computational-science numpy python

Last synced: 02 May 2026

https://github.com/priyanshul28/exercise_pandas

A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib.

data-cleaning data-visualization matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/allanreda/telco-customer-churn-predictor-app

A web-based machine learning application that predicts customer churn using a logistic regression model. Built with Scikit-Learn for model training, Gradio for the user interface, and deployed on Google Cloud App Engine. The app allows users to input customer data and receive predictions on churn risk to support business decision-making.

app-engine data-visualization deployment google-cloud gradio hyperparameter-tuning logistic-regression machine-learning numpy pandas scikit-learn

Last synced: 16 Apr 2026

https://github.com/egorumaev/2023-cirrhosis-outcomes

Прогнозирование исхода лечения пациентов с циррозом печени

catboost imblearn iqr lda matplotlib numpy pandas pca phik pipeline sklearn t-sne xgboost

Last synced: 08 May 2026

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

Predictive Health Analytics for Diabetic Risk Assessment and Personalized Reporting WebApp using Streamlit

deeplearning mahine-learning numpy onrender-deploy pandas seaborn streamlit

Last synced: 02 May 2026

https://github.com/m0saan/python-for-data-analysis

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney,

data-analysis data-science ipython-notebook machine-learning matplotlib numpy pandas python

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/michaelzheng67/real_estate_ml

AI experiment developed to run against simulated real estate and investing environment

ai numpy python pytorch

Last synced: 09 May 2026

https://github.com/amanda-ucc/market-tracker

Automated portfolio creator that generates a portoflio which mimics a bench mark index by minimizing the tracking error.

beta covariance numpy pandas scipy sharpe-ratio tracking-error variance yfinance

Last synced: 11 Apr 2026

https://github.com/iamsaniasingh/heart_disease_prediction

This is my very first machine learning project, where I used a supervised learning algorithm—logistic regression—to predict heart disease. The model was trained and tested entirely on a pre-existing dataset, with no user input involved. The goal was to understand how ML models work and how they can be applied in healthcare predictions.

logistic-regression machine-learning machine-learning-algorithms numpy pandas python sklearn

Last synced: 11 Apr 2026

https://github.com/ifte-13/digit-classification-with-mnist

MNIST Digit Classification: Comparative Analysis of Optimization Algorithms

matplotlib mnist-dataset numpy tensorflow

Last synced: 02 May 2026

https://github.com/liannekiarra/university-dissertation

Combining Machine Learning Techniques with Multi-Objective evolutionary Algorithms to Solve Real World Engineering Problems

artificial-intelligence engineering hypervolume matplot multi-objective-optimization neuralnetwork nsga-ii numpy pareto-front pareto-optimality pymoo python3 sklearn

Last synced: 09 May 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/helenaden/data-science-fundamentals

This project delves into fundamental data science concepts using Python libraries like NumPy and Pandas

data-analysis datascience datasets datavisualization datawrangling heatmap numpy pandas patterns python

Last synced: 03 May 2026

https://github.com/isinghabhishek/data_analysis_with_python

Introduction to Data Analysis covering the basics of Python, Numpy, Pandas, Data Visualization, and Exploratory Data Analysis.

data-visualization exploratory-data-analysis numpy pandas python

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/dhanish03/credit_card_fraud_detection

Developed and implemented an advanced CCFDS using ML algorithms and pattern recognition techniques. Integrated real-time monitoring and adaptive learning capabilities into the system to dynamically adjust fraud detection parameters, ensuring effectiveness in identifying emerging fraud patterns.

kaggle-dataset numpy pandas-dataframe python3 sklearn

Last synced: 16 Apr 2026

https://github.com/badranalyst/student-tests-data-analysis-application

Python-based analysis of student test scores in math, reading, and writing, examining correlations with parental education, lunch type, and test preparation. Includes data cleaning, visualization, and statistical insights into factors influencing academic performance.

data-analysis data-visualization dataset matplotlib numpy pandas python sklearn

Last synced: 05 May 2026

https://github.com/thiagonunesbatista/deuteranopia-simulator-computer-vision-python

Live color detection with a webcam and a simulation of deuteranopia's color perception effects.

computer-vision numpy opencv python

Last synced: 03 May 2026

https://github.com/nak-dt/deep-decision-forest

A custom ensemble tree model inspired by Deep Forest

ai machine-learning machine-learning-algorithms numpy pandas python sklearn

Last synced: 03 May 2026

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/jsnevt/decisiontreecls

Data Science - Árvores aleatórias - RandomForestClassifier

decision-tree-classifier matplotlib numpy pandas seaborn

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/furk4nbulut/uygulamalarla-makine-ogrenmesi-ve-derin-ogrenme-atolyesi

Bu repository, Manisa'da gerçekleştirilen BTK Akademi Uygulamalı Makine Öğrenmesi ve Derin Öğrenme Atölyesi'ne ait eğitim sürecini kapsamaktadır. Atölyede katılımcılar, ileri düzey makine öğrenmesi ve derin öğrenme teknikleriyle ilgili teorik ve pratik bilgiler edinmektedir.

matplotlib numpy pandas scikit-learn seaborn

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/muskanmi/data_analysis_python

Data analysis on students result dataset using python libraries.

boxplot countplots data-analysis numpy pandas pie-chart python3 seaborn

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/lmizner/codecademy_product_defects

Practicing rules of probability, set theory, and distributions

cdf jupyter-notebook numpy pmf ppf python rvs scipy-stats

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/eduardoprofe666/mn-api

🐍📦 Paquete de Python con implementaciones de métodos numéricos

mn-api numerical-methods numpy pandas python scipy simpy tabulate

Last synced: 04 Jan 2026

https://github.com/winterwind/ecg_signal_classification

Two-part project that involves detecting the R-peaks in an ECG signal to extract the individual ECG beats and making a machine learning model to classify them

csv csv-files data-science decision-trees ecg ecg-classification ecg-signal jupyter jupyter-notebook knearest-neighbors knn machine-learning matplotlib matplotlib-pyplot numpy pandas pyplot python random-forest scipy

Last synced: 11 Apr 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/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/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/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/bpkaur/whats-in-a-name

Exploring dataset of first names of babies born in the US in order to uncover interesting stories

data-analysis datacamp numpy pandas python3

Last synced: 04 May 2026

https://github.com/vadimkantorov/fasttsv

TSV parser for Python in pure vectorized NumPy code

numpy parsing simd tsv vectorized-code

Last synced: 09 May 2026

https://github.com/ortanav2/parabola-visualizer

Simple parabola-visualizer made with matplot+numpy [Formula: a(x+d)²+e]

mathematics matplotlib numpy parabola visualization

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/ola-kaznowska/median-statistic

A program that calculates the median statistic. Program written in Python 3.13.1 with NumPy library during Machine Learning course.

mathematics numpy python python3

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/faisal-khann/python-practice

This is the section for python practice, where we engage in programming exercises to improve our Python skill.

numpy numpy-arrays pandas python

Last synced: 10 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/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/mgitrov/lifespan-x-population-status

A machine learning project aiming to predict animals' lifespan and population status.

bs4 data-science machine-learning matplotlib numpy pandas python regular-expressions requests seaborn sklearn

Last synced: 11 Apr 2026

https://github.com/linsanity03/algorithmic_trading

Trading strategy based on the intersection of short-term and long-term moving averages.

jupyter-notebook matplotlib-pyplot numpy pandas

Last synced: 04 May 2026

https://github.com/secary/maths7027

Mathematical Foundations of Data Science

latex mathematics numpy pandas

Last synced: 04 May 2026

https://github.com/nishi1612/knight-tour-problem

IT485 Logic of Inference Project on Knight's Tour. A hamiltonian path problem to determine path of knight to travel entire chessboard with every cell visited only once.

backtracking-algorithm bootstrap flask html knights-tour localhost numpy pygame python tkinter warnsdorff

Last synced: 11 Apr 2026

https://github.com/pedasoft-consult/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 numpy pandas python seaborn sklearn

Last synced: 04 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/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/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/686f6c61/numeros-primos-gemelos

Este proyecto permite generar y visualizar números primos gemelos de diferentes formas para ayudar a comprender sus patrones y distribución. Incluye múltiples visualizaciones y análisis estadísticos avanzados.

numpy primos python scipy

Last synced: 10 May 2026

https://github.com/dawoudtormos/rain_predicition_ml

This repository contains a machine learning project for rain prediction using historical meteorological data. The goal is to predict whether it will rain the next day based on weather measurements like atmospheric water vapor, cloud formation, and past rainfall records.

ai machine-learning machine-learning-algorithms matplotlib numpy seaborn sklearn

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

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