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/mariam-zaidi/bike-sharing-prediction-model

Build a multiple linear regression model for the prediction of demand for shared bikes.

linear-regression matplotlib numpy pandas rfe seaborn sklearn

Last synced: 09 Feb 2026

https://github.com/foggysmile/ml_labs_itmo

Лабораторные работы по машинному обучению

bert decision-trees jupyter-notebook machine-learning numpy pandas random-forest xgboost

Last synced: 11 Feb 2026

https://github.com/yalai92/alfalfa_imp_exp_analysis

This repository covers data cleaning, analysis, and visualization of global alfalfa and pellet imports, focusing on trends from 2003 to 2023. It also includes a predictive analysis of global alfalfa demand for 2024-2029, using data science techniques to provide insights for stakeholders in the alfalfa industry.

data-analysis data-cleaning data-visualization matplotlib numpy pandas python sckiit-learn tableau

Last synced: 12 Feb 2026

https://github.com/arserchung/ml_cnn

Basis CNN intro& project of recognize to cat or dog

glob keras keras-models numpy opencv os sklearn tensorflow

Last synced: 13 Feb 2026

https://github.com/maia-bastos/estimativas

Projeto de Probabilidades, Amostragem e Estimações com dados reais (IBGE).

numpy pandas python3 scipy-stats

Last synced: 16 Apr 2026

https://github.com/rakesh3596/tutedude_projects

It consist of 3 major project 1:Covid19 Analysis 2:Rainfall Prediction 3:Tumor Detection

csv-files matplotlib numpy pandas plotly python sklearn-library

Last synced: 16 Apr 2026

https://github.com/kavayk29/speech-recognition-using-tdnn-and-data-augmentation

Developed a speech recognition system using TDNN, preprocessing audio, extracting MFCC features, and training the model. Fine-tuning with augmented data (19,000 rows) improved accuracy from 9% to 80% training and 40% validation. Data augmentation proved crucial for enhancing model performance and generalization. Still working to increase the acc.

deep-learning keras-tensorflow numpy os pandas tdnn tensorflow

Last synced: 14 Feb 2026

https://github.com/mchenryspagg/economic-variable-correlation-and-productivity-model

This report provides an in-depth analysis of Nigeria's economic performance over the past decade, spanning from 2014 to 2024.

correlation exchangerates inflation moneysupply numpy productivity python regression regression-analysis regression-models visualization

Last synced: 15 Feb 2026

https://github.com/type0-1/salary-truth-predictor

A supervised machine learning regression model. Includes problem statement, approach to solution, code, images, dataset, and Jupyter Notebook for interactive analysis.

linear-regression machine-learning matplotlib-pyplot ml numpy pandas polynomial-regression projects scikitlearn-machine-learning support-vector-regression

Last synced: 16 Apr 2026

https://github.com/anujdutt9/reinforcement_learning

Reinforcement Learning using Numpy and PyTorch.

numpy python3 pytorch reinforcement-learning

Last synced: 16 Apr 2026

https://github.com/pramodyasahan/health-insurance-cost-prediction

This project focuses on predicting health insurance costs using a polynomial regression model. By employing machine learning techniques in Python, the project aims to accurately estimate insurance costs based on various personal attributes. The model takes into account several features including age, sex, BMI, number of children, smoking status etc

machine-learning matplotlib numpy pandas python3 scikit-learn

Last synced: 16 Apr 2026

https://github.com/5hraddha/sda-megaline-the-best-plan

Megaline is a telecom operator and it offers its clients two prepaid plans, Surf and Ultimate. The commercial department wants to know which of the plans brings in more revenue in order to adjust the advertising budget.

data-visualization hypothesis-testing matplotlib numpy pandas scipy seaborn statistical-data-analysis

Last synced: 16 Apr 2026

https://github.com/costrouc/xnd-notebooks

A collections of notebooks that demonstrate xnd, ndtypes, and gumath features

binder gumath ndtypes notebooks numba numpy xnd

Last synced: 16 Apr 2026

https://github.com/macktb/tetris

Tetris game

list-comprehension numpy

Last synced: 16 Apr 2026

https://github.com/shiqilu77/machinlearning-lol_gaming

a supervised model that predicts the match winning rate in LOL game based on the lineups of both sides. Implemented data processing by multiple python API including sklearn, NumPy, pandas, and by feature encoding, kNN, Synthetic Minority Oversampling Technique, etc

league-of-legends machine-learning numpy supervised-learning

Last synced: 16 Apr 2026

https://github.com/archish27/pythontutorial

Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications

matplotlib numpy pandas pygame python python-2 python-3 scikit-learn soup

Last synced: 01 Apr 2026

https://github.com/laurencewarne/eratosthenes

Random implementations of the sieve of Eratosthenes

algorithm eratosthenes numpy python3

Last synced: 16 Apr 2026

https://github.com/littie28/hazy-frames

Hierarchical coordinate frames - crystal clear transforms

3d coordinate-systems geometry numpy python reference-frames scipy transformations

Last synced: 18 Apr 2026

https://github.com/shriansh8619/eda_customer_behavior

This project analyzes Nielsen transaction data using Python to uncover sales trends, customer preferences, and purchasing patterns. It provides insights to optimize inventory, create targeted promotions, and improve store performance. The goal is to help supermarkets enhance strategies and boost profitability based on data-driven insights

matplotlib numpy pandas python seaborn

Last synced: 16 Apr 2026

https://github.com/dr-rompecabezas/page-view-time-series-visualizer

A data science project built as part of the freeCodeCamp curriculum.

matplotlib numpy pandas python seaborn

Last synced: 16 Apr 2026

https://github.com/supershivam5/python_projects

💻 Python programming with Numpy, Pandas, Matplotlib.🌟 Love exploring new technologies. Check out my projects!

matplotlib-pyplot numpy pandas scikit-learn seaborn

Last synced: 17 Apr 2026

https://github.com/hansalemaos/npchessimage

Creates a chessboard pattern as an image.

chessboard cv2 image numpy

Last synced: 05 Mar 2026

https://github.com/miozilla/treebasedmodel

treebasedmodel :evergreen_tree::airplane::dancer: : Invistico Airline | Tree-based Modeling, Machine Learning (ML), Predictive, Decision Making, GridSearchCV, sklearn |

accuracy decisiontreeclassifier exemplar experience f1-score flight hyperparameter logistic-regression matplotlib model numpy pandas plot-tree precision pyplot recall seaborn selection train-test-split tuning

Last synced: 03 Jun 2026

https://github.com/shashwat9kumar/us-accidents-data-analysis

Analysis of the US accidents using the US-Accidents dataset (4.2 million entries) from Kaggle

accidents accidents-analysis data-analysis data-analytics data-visualisation data-visualization matplotlib numpy pandas python

Last synced: 17 Apr 2026

https://github.com/ricobuilds/ml-roadmap

Opinionated roadmap to machine learning in 2023

conda huggingface machine-learning matplotlib numpy pandas python pytorch

Last synced: 06 Mar 2026

https://github.com/psavarmattas/speechtotext

we shall build a very simple speech recognition system that takes our voice as input and produces the corresponding text by hearing the input.

facebook-api ipython librosa machine-learning numpy python pytorch soundfile transformers

Last synced: 02 Apr 2026

https://github.com/iamwatchdogs/cardiovascular-risk-prediction

This mini-project uses machine learning algorithms to predict possible risks of heart disease by analyzing given data.

jupyter-notebook machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/amanimagdi/data-flux-fullstack

This repository is for a full stack application provides in-depth analysis and manipulation of various data types (tabular data, RGB images and textual data), Flask on BE and ReactJs on FE.

flask javascript numpy pandas python reactjs tailwindcss

Last synced: 02 Apr 2026

https://github.com/loong64/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

autograd deep-learning gpu loong64 loongarch64 machine-learning neural-network numpy python tensor

Last synced: 02 Apr 2026

https://github.com/prajapatsur/data-analytics-1

Wanted to revise all the basic concepts of the data cleaning, transformation and analysis, so worked on this project. Took a little bit help of AI tool to implement some fresh concepts.

matplotlib numpy pandas sklearn

Last synced: 17 Apr 2026

https://github.com/kernel-loophole/numerical-computing

Numerical Computing use python(Numpy,metplotlib).

numpy python quantum-computing

Last synced: 17 Apr 2026

https://github.com/felixamaladhas/amazon-reviews-sentiment-analysis

This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.

matplotlib numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/cosmicsid004/air_draw

Digital drawing....

handtracking mediapipe numpy opencv

Last synced: 30 Apr 2026

https://github.com/sofiakhutsieva/analytical_report_for_producers_of_educational_programs

Подготовка аналитического отчета (Проект в skillbox )

analytics matplotlib numpy pandas seaborn

Last synced: 17 Apr 2026

https://github.com/tashi-2004/deep-learning-grid-world-q-learning

Deep Learning Grid World Q-Learning . Implement Q-learning in a 5x5 grid where an agent navigates obstacles and rewards. Train the agent with varying learning rates, visualize its progress, and see Q-values as heatmaps. Run the script to start training and view results. Contributions are welcome!

agent-based-modeling artificial-intelligence deep-learning deep-q-learning exploitation exploration machine-learning machine-learning-algorithms matplotlib-pyplot numpy python q-learning q-learning-algorithm reinforcement-learning reinforcement-learning-algorithms state-value-function training

Last synced: 17 Apr 2026

https://github.com/prahaladhchandrahasan/object-localization

this is a blue colour detector in keras and tensorflow

computer-vision keras numpy pkl tensorflow

Last synced: 17 Apr 2026

https://github.com/kaushik-puttaswamy/exploratory-data-analysis-using-python

This project applies Exploratory Data Analysis (EDA) using visualizations like box plots, scatter plots, and correlation matrices. It helps identify patterns, select ideal functions via least squares error, and map test data while evaluating deviations.

bokeh expolatory-data-analysis matplotlib numpy pandas python seaborn sqlalchemy

Last synced: 17 Apr 2026

https://github.com/rosieoh/emergency_dataanalysis

오픈데이터분석-응급의료체계 방안 정책 제안 데이터 분석

ipython matplotlib numpy pandas python scikit-learn scipy

Last synced: 04 Apr 2026

https://github.com/jinhx128/data_analysis

基于Matplotlib+Numpy+Pandas搭建的数据分析项目。

matpolotlib numpy pandas python

Last synced: 18 Apr 2026

https://github.com/lexxai/goit_python_ds_hw_01

GoIT, Python Data Science, Homework number 1.

data-science google-colab jupyter-nootebook numpy numpy-arrays python

Last synced: 18 Apr 2026

https://github.com/27ahmad/movie-recommendation-system

Welcome to the Movie Recommendation System! This project uses Streamlit to provide personalized movie recommendations based on user preferences and similarity.

movie-recommendation numpy pandas python scikit-learn

Last synced: 04 Apr 2026

https://github.com/jass024/bitcoin-historical-analysis

Performed comprehensive time-series analysis on 14+ years of Bitcoin historical data using Python (Pandas, NumPy, Plotly). Calculated key technical indicators (SMA, EMA, RSI, volatility) to identify market trends, potential anomalies, and areas of regulatory concern. Visualized results using interactive Plotly charts.

numpy pandas python-3

Last synced: 18 Apr 2026

https://github.com/vansh-py04/data-analysis-questions-pandas-numpy-sql

Solution to 450+ Data Science Tech Stack questions essential for Data Analysts and Scientists!

data-analysis data-science deepnote machine-learning numpy pandas python sql

Last synced: 18 Apr 2026

https://github.com/abdul-rafay19/california-housing-price-prediction

This project predicts California housing prices using machine learning regression models, including Random Forests and Decision Trees. It covers data preprocessing, exploratory analysis, model training, and hyperparameter tuning to optimize performance.

decision-trees gridsearchcv linear-regression matplotlib numpy pandas python random-forest randomsearch-cv scikit-learn scipy seaborn

Last synced: 04 Apr 2026

https://github.com/sultanazhari/decisive-model-with-high-profit-potential-and-low-risk

OilyGiant mining company finding the best place for 200 new well points, As an Data Scientist we're creating a model who can choose the best 200 point by profit and risk.

accuracy-score chi2-contingency confusion-matrix logistic-regression matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn

Last synced: 18 Apr 2026

https://github.com/hariprasath-v/machinehack-analytics-olympiad-2022

Create a machine learning model to help an insurance company understand which claims are worth rejecting and the claims which should be accepted for reimbursement.

catboost-classifier exploratory-data-analysis logloss machinehack numpy optuna pandas python scikit-learn shap

Last synced: 18 Apr 2026

https://github.com/armanshadyan/bacteria-detection

Deep learning-powered tool for detecting and analyzing bacteria in microscope images. Designed for microbiology research, it identifies bacteria, counts them, and calculates coverage area with high precision. Supports real-time video processing, single-image analysis, batch processing, and model training.

mediapipe numpy object-detection opencv python pytorch

Last synced: 05 Apr 2026

https://github.com/murugavl/flower-prediction

Flower Prediction is a machine learning project that uses the Iris dataset to classify iris flowers into three species: Setosa, Versicolor, and Virginica. The project includes data analysis, model training with various algorithms, and deployment via a Flask web application for user-friendly predictions.

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

Last synced: 05 Apr 2026

https://github.com/ashithapallath/feature-engineering

This repository contains a range of examples and techniques for feature engineering, aimed at improving dataset quality and boosting model performance. It covers essential methods such as Exploratory Data Analysis (EDA) and Interquartile Range (IQR) analysis for detecting and handling outliers.

exploratory-data-analysis feature-engineering iqr-method matplotlib numpy outlier-detection pandas python seaborn

Last synced: 18 Apr 2026

https://github.com/alexkhype/04python-carpricepredictor

Modelo de machine learning para predecir el valor de mercado de autos usados, optimizando precisión y eficiencia.

catboost data-science lightgbm machine-learning numpy pandas python sklearn statistics xgboost

Last synced: 05 Apr 2026

https://github.com/shdrn2402/incomesresearch

The project aims to study the influence of various characteristics on a person’s income. In this project, I practiced data preprocessing and visualization, and also touched on the basics of machine learning.

jupyter-notebook matplotlib numpy pandas python seaborn sklearn visualization

Last synced: 05 Apr 2026

https://github.com/nowon1/insurance-claim-prediction_version

This project aims to predict the insurance claim amounts based on various customer attributes using machine learning techniques. The project involves data preprocessing, exploratory data analysis, feature engineering, and model training and evaluation.

data-preprocessing data-science data-visualization exploratory-data-analysis feature-engineering insurance jupyter-notebook machine-learning numpy pandas predictive-modeling python random-forest regression-analysis scikit-learn

Last synced: 05 Apr 2026

https://github.com/al-ghaly/prosper-loans-analysis

A statistical Analysis Project, to analyze the data of a finance company’s loans Using Python packages (pandas – NumPy – seaborn – matplotlib)

data-analysis matplotlib numpy pandas python python-data-analysis seaborn statistical-analysis statistics

Last synced: 18 Apr 2026

https://github.com/ahmaruff/kmeans-img-compress

Simple python image compression library using K-Means clustering

color-quantization image-compression image-processing kmeans kmeans-clustering numpy python

Last synced: 18 Apr 2026

https://github.com/rahuls-1106/dataspark

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-visualization jupyter-notebook matplotlib numpy pandas-dataframe powerbi python seaborn sql

Last synced: 18 Apr 2026

https://github.com/amdjadouxx/my_neural_network

implementation of a neural network library

deep-neural-networks ia machine-learning numpy python3

Last synced: 18 Apr 2026

https://github.com/jcardonamde/reto_cobranzas_sector_financiero

This project analyzes data provided by the organization iData, focusing on the collection process of a financial company. The objective is to develop segmentation strategies that enhance portfolio recovery and improve debt management.

data-science kmeans-clustering machine-learning machine-learning-algorithms matplotlib numpy pandas python seaborn

Last synced: 19 Apr 2026

https://github.com/renukadhule/airbnb_listings_and_reviews_python_analysis

Explore Airbnb listings and reviews from over 250,000 properties across 10 major cities. Dive into data on listing details, host information, pricing, and customer reviews for better insights

matplotlib-pyplot numpy pandas python seaborn

Last synced: 19 Apr 2026

https://github.com/prahaladhchandrahasan/housingprices_adavanced_regression

A machine learning model for "House Prices: Advanced Regression Techniques" kaggle competition.

machine-learning-algorithms matplotlib-pyplot numpy pandas python3 scikit-learn

Last synced: 20 Apr 2026

https://github.com/prithvikings/zomato_data_anaysis

This analysis provides insights into customer preferences and restaurant performance on Zomato. The visualizations and findings can help Zomato make informed decisions to improve customer experience and tailor their offerings.

matplotlib numpy pandas python seaborn

Last synced: 20 Apr 2026

https://github.com/jbalooshie/school_district_analysis

Analysis of standardized testing results using NumPy and Pandas, executed in Jupyter Notebook. Summaries of the testing results are provided based on school, test type, and grade level.

data-analysis data-science dataframes jupyter-notebook numpy pandas python

Last synced: 20 Apr 2026

https://github.com/vtorres09/projetomonitoriaip

📋 Data analysis of a dataset created to select students to be teacher assistant (Introduction to Programming).

numpy object-oriented-programming pandas python

Last synced: 20 Apr 2026

https://github.com/muhammadmoeezkhan/euclidean-distances

Python Program That Calculates Euclidean Distances Via 5 Algorithms

numpy pandas-python scipy timeit

Last synced: 20 Apr 2026

https://github.com/mkhekare/bikesharing_ml

Provides insights into the bike sharing trends based on various factors such as time of day, season, and weather. The findings can be used to improve bike sharing services and understand user behavior.

matplotlib numpy numpy-library pandas seaborn

Last synced: 20 Apr 2026

https://github.com/gandholisarat/mlp-backprop-pmat403

This repository contains a Jupyter Notebook developed for my course, demonstrating symbolic and numerical computation, visualization, and problem-solving in Python using libraries such as SymPy, NumPy, SciPy, and Matplotlib.

jupyter jypyternotebook matplotlib numpy

Last synced: 20 Apr 2026

https://github.com/danpoynor/pet-shelter-data-analysis-notebook

Demonstration of skills analyzing data from a pet shelter. The CSV data contains tables detailing the incoming and outgoing animals and I use my knowledge of Pandas to gather and present the requested information.

csv data-analysis data-cleaning data-science jupyter-notebook matplotlib numpy pandas pet-shelter tabular-data

Last synced: 21 Apr 2026

https://github.com/prince-gh/numpy

Learn Numpy step by step

library numpy prince-gh python

Last synced: 22 Apr 2026

https://github.com/jbayardo/aa-tp2

Q-Learning for Four in a row

matplotlib numpy python q-learning

Last synced: 24 Apr 2026

https://github.com/alepheleven/neuralnet

Neural Network library in NumPy✨

neural-network numpy

Last synced: 24 Apr 2026

https://github.com/redinfinitypro/pygamecicruit

Rating: (6/10) The code combines a Pygame GUI application with a PySpice circuit simulation, providing a user-friendly interface with buttons, menu options, dropdown menus, input boxes, sliders, and text elements.

matplotlib numpy os pygame pyspice random sys

Last synced: 24 Apr 2026

https://github.com/takana671/texturegenerator

Procedually generate texture images from noise.

cloud cubemap cv2 cython noise noise-textures numpy python skybox

Last synced: 25 Apr 2026