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/csengupta1101/rock-paper-scissor-game

Rock Paper Scissor game built with Python 3. Jupyter notebook used as IDE. Code File , Read Me attached herewith.

game if-else-statements numpy python python3 random

Last synced: 03 Dec 2025

https://github.com/0xunkn0wn4m1r/data_engineering_banking_project

🏦 Build a complete data engineering workflow for a banking system, showcasing ETL processes, data transformations, and an interactive financial dashboard.

automation data-analysis data-cleaning data-science feature-engineering fintech-bank flask-api loan-default-prediction machine-learning mlops model-explainability numpy postgresql scikit-learn segmentation shap sql unsupervised-learning

Last synced: 03 Nov 2025

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: 22 Mar 2025

https://github.com/chathumiamarasinghe/nn-training-model

A comprehensive project for training neural networks to solve real-world problems. This repository includes customizable code for building, training, and evaluating neural network architectures using popular deep learning frameworks.

jupyter-notebook matplotlib numpy phyton scikit-learn

Last synced: 21 Feb 2025

https://github.com/apal21/tensorflow-linear-regression-fit-data

Fit a line passing through data with some random noise using Tensorflow linear regression with Gradient Descent Optimizer.

gradient-descent linear-regression numpy python3 tensorflow

Last synced: 20 Feb 2025

https://github.com/hamishivi/denserflow

A basic numpy neural net library. This achieved high marks in a uni assignment!

deep-learning neural-network numpy

Last synced: 22 Mar 2025

https://github.com/codeslash21/tmdb_data_analysis

We analysed TMDB dataset which contains around 11000 movies details. We analyzed to find some interesting facts about the dataset.

data-analysis data-visualization matplotlib nanodegree-project numpy pandas python tmdb-movie

Last synced: 18 Aug 2025

https://github.com/abdelmajidlh/fifa19

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

fifa matplotlib numpy pandas python seaborn

Last synced: 22 Mar 2025

https://github.com/abhisingam/brickbreaker

A Terminal-Based game made in Python that emphasises upon the use of OOPs concepts. Python | NumPy | Game Development

game-development numpy python3

Last synced: 02 Apr 2025

https://github.com/abideen-olawuwo/nyc-taxi

Prediction the duration of New York Taxi trip

linear-regression matplotlib numpy pandas python seaborn sklearn

Last synced: 04 Dec 2025

https://github.com/satyas567/weatherdataanalysis

Comprehensive Weather Data Analysis with Python: Explore trends, visualize patterns, detect outliers, and predict temperature using humidity and wind speed

jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn seaborn

Last synced: 30 Dec 2025

https://github.com/adarshkoppmanjunath/produceitemrecognitionusingcnn

Produce Item Recognition- Dataset is created from scratch, has train, validation, and test set. Train is with 800 images per class, test and validation are with 320 images per class. Totally dataset has 24 classes. I have used CNN and VGG16 for the model training.

cnn-keras conda kivy machine-learning numpy opencv pandas python

Last synced: 22 Jul 2025

https://github.com/prateekrajsrivastav/question-answering-model

This project is an NLP-based Question-Answering System that leverages machine learning and natural language processing techniques to provide answers to user queries based on a given context or dataset. The system processes textual input, extracts meaningful insights, and returns relevant answers to the user's question.

huggingface-transformers matplotlib nltk numpy pandas seaborn spacy

Last synced: 06 Apr 2025

https://github.com/alepm1990/nba-analytics

Análisis y trabajos en Python con BBDD deportivas

matplotlib-pyplot numpy pandas pyhon python3 seaborn

Last synced: 02 Apr 2025

https://github.com/rakesh3596/apple-phone-sales-analysis

Apple Phone Sales Analysis using Python tools like Pandas, Matplotlib, Numpy, Plotly, Apple csv file

csv-files csv-reader matplotlib numpy pandas plotly python

Last synced: 18 Aug 2025

https://github.com/theoldvalyria/analysis_of_orders

Промежуточный проект курса "Аналитик данных" (KARPOV.COURSES)

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 10 Apr 2025

https://github.com/muazify/pyequationsolver

A Python script that solves mathematical equations for the variable 'x' using a hybrid approach, combining symbolic solving (for exact solutions) with numerical methods (for approximations when symbolic solving is insufficient).

equation-solver numpy python3 sympy

Last synced: 09 Apr 2025

https://github.com/manjotkaurgill/agritech

Enter details of your soil and weather, and find best suitable crop for farming. With our advanced AI system, you can make informed decisions and optimize your agricultural practices.

flask generative-ai insight-generation machine-learning matplotlib mongodb nextjs numpy pandas python scikit-learn seaborn

Last synced: 08 Oct 2025

https://github.com/jessicahora/series_temporais

Análise de Series Temporais do Consumo de Energia da Alemanha.

numpy pandas python time-series-analysis

Last synced: 30 Dec 2025

https://github.com/shubhansu-kr/int213-python-programming

Python Programming | Semester 3 | Python | OOPS | Tkinter | Pandas | Numpy

lpu numpy oops-in-python pandas python sem3 tkinter-gui

Last synced: 16 Mar 2025

https://github.com/wondermongering/stochasticgutbrainmodel

StochasticGutBrainModel is a computational simulation framework that explores the complex interactions between the gut microbiome, metabolites, hormones, and neural signaling in the gut-brain axis

bioinformatics computational-biology computational-neuroscience differential-equations educational gut-brain-axis gut-microbiota hobby-project interdisciplinary mathematical-modelling matplot metabolism numpy open-source pandas py scipy stochastic-simulation

Last synced: 31 Dec 2025

https://github.com/ondiekelijah/shadowcoach-formtracker

A computer vision-based workout form tracking application that uses AI to monitor exercise form, count repetitions, and provide real-time feedback.

mediapipe-pose numpy opencv-python

Last synced: 09 Apr 2025

https://github.com/mayankmittal29/algovision-statistical_methods_in_ai

Implementation of various machine learning algorithms from scratch, including Linear Regression, K-Nearest Neighbors, Decision Trees, and K-Means clustering. Also done EDA on data, Implemented LSH, IVF, SLIC algorithms also with evaluation metrics

decision-tree-classifier eda gradient-descent image-segmentation ivf knn-classification linear-regression lsh-implementation matplotlib-pyplot numpy pandas python3 seaborn sgd-optimizer sklearn slic-superpixel-algorithm

Last synced: 30 Dec 2025

https://github.com/psavarmattas/covid19-dashboard

The goal of this project is not to build just another dashboard for Covid 19. But, to focus on collaborative plot ideas, and a mobile friendly UI/UX.

appseed bootstrap covid covid-19 css dashboard django docker html javascript json numpy plotly python travis-ci

Last synced: 04 Dec 2025

https://github.com/shivangmathur1/simple-qlearning

Solving gym environments using Numpy Qtables and Q-learning

gym numpy qlearning

Last synced: 16 Oct 2025

https://github.com/shayan1408/machine_learning_predicts_laptop_prices

About This is a project on the laptop store dataset to predict laptop prices. Random Forest and XGBRegressor machine learning models are used.

flask jupyter-notebook machine-learning-projects notebook-jupyter numpy pandas pipeline python randomforestregressor scip seaborn streamlit winsorize-values xgbregressor

Last synced: 09 Apr 2025

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: 09 Apr 2025

https://github.com/max134/deepplate

A custom-trained YOLOv11-based license plate detection with PaddleOCR for accurate ANPR.

computer-vision cv2 deep-learning image-recognition licesnse-plate-recognition numpy object-detection ocr paddleocr real-time-processing sqlite3 ultralytics yolov11

Last synced: 13 Jul 2025

https://github.com/kecnry/nparray

High-Level Wrappers for Building and Manipulating Numpy Arrays

numpy numpy-arrays python

Last synced: 08 Jan 2026

https://github.com/chandkund/stock-price-prediction-

Predict Tesla stock prices using historical data. The project preprocesses data, applies normalization and standardization, trains a linear regression model, and evaluates its performance. Visualizations include box plots and time series plots.

data-science linear-regression numpy pandas plotly python sklearn sklearn-model

Last synced: 21 Jan 2026

https://github.com/davityak03/object-detection-in-images-using-yolo

This project demonstrates object detection using the YOLO (You Only Look Once) model, providing a solution for detecting and labeling multiple objects within images or video streams. This implementation covers image preprocessing, model inference, and visualization of detected objects.

computer-vision matplotlib-pyplot numpy object-detection opencv-python pandas python yolo

Last synced: 18 Jan 2026

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

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

numpy pandas python sckit-learn

Last synced: 23 Jun 2025

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: 06 Sep 2025

https://github.com/johassel/feed_forward_neural_network

Fully-connected feed-forward neural network based on the couse "Python for Machine Learning" at TU Berlin WiSe 24/25

machine-learning neural-networks numpy python

Last synced: 20 Feb 2025

https://github.com/supernovasatsangi23/modifying-biomarker-gene-identification-for-effective-cancer-categorization

A project that focuses on implementing a hybrid approach that modifies the identification of biomarker genes for better categorization of cancer. The methodology is a fusion of MRMR filter method for feature selection, steady state genetic algorithm and a MLP classifier.

dataset deep-learning deep-neural-networks feature-selection genetic-algorithm machine-learning machine-learning-algorithms mlp-classifier mrmr neural-network numpy pandas-dataframe python python3 scikit-learn scikit-learn-python tkinter-gui tkinter-python

Last synced: 10 Oct 2025

https://github.com/baschin1103/principal_component_analysis

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

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

Last synced: 28 Mar 2025

https://github.com/beyza-ozben/fft_ses_temizleme

BİL314-Sinyaller ve Sistemler Dersi/Final Projesi (Fourier Dönüşümü)

audio-denoising conda-environment fastfouriertransform fft librosa matplotlib noisereduce numpy python scipy-library soundfile

Last synced: 27 Jun 2025

https://github.com/eiichiroito/numpharo

NumPy like tools for Pharo Smalltalk

matplotlib-pyplot numpy pharo pharo-smalltalk smalltalk

Last synced: 18 Jan 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: 06 Sep 2025

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

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

numpy ocr-recognition opencv pandas python3 tesseract

Last synced: 27 Jun 2025

https://github.com/chandkund/movie-recommender-system

Unlocking the magic of personalized movie recommendations! This project uses the Cosine Similarity Algorithm to suggest movies based on user-selected titles, making movie discovery more enjoyable.

cosine-similarity matplotlib nltk numpy pandas-python seaborn

Last synced: 18 Jul 2025

https://github.com/elmezianech/classifyreviews_nlp

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

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

Last synced: 05 Dec 2025

https://github.com/mchenryspagg/wrangle-and-analyze-data

This project which is known as 'wrangle and analyze data' involves the wrangling of WeRateDogs twitter archive data from the period of 2015 to 2017

api data dataanalysis datacollection datawrangling datetime json numpy os pandas pil python requests tweepy-api visualization

Last synced: 20 Feb 2025

https://github.com/tromesh/attendance-predictor

Student Attendance predictor for Scheduling lecture sessions

matplotlib numpy pandas tensorflow

Last synced: 04 Aug 2025

https://github.com/navindafernando/lane-detection

Lane Detection with Image Feature Extraction Techniques :aerial_tramway:

image-feature-extraction kernel-filters machine-learning neighborhood numpy opencv sobel-filter

Last synced: 20 Feb 2025

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: 30 Dec 2025

https://github.com/ifte-13/early-stage-brain-stroke-detection

Predictive Analysis & Early Detection of Brain stroke using Machine Learning Algorithm

decision-tree imbalanced-learn knn matplotlib numpy pandas random-forest scikit-learn seaborn

Last synced: 06 Jul 2025

https://github.com/ianisdev/ca_ms_ai_data_analytics

Continuous Assessment MSCAI - Data Analytics

jupyter-notebook matplotlib numpy pandas python3 sklearn

Last synced: 30 Dec 2025

https://github.com/kiarashyavari/python_interview

Practice intermediate to advance topics of Python here

decorators generator multiprocessing multithreading numpy pandas python python3

Last synced: 25 Mar 2025

https://github.com/samp1012/email_sms_spam_detector

An Email/SMS spam classifier that aims to identify and distinguish between spam and non-spam messages.

multinomial-naive-bayes naive-bayes-classifier natural-language-processing numpy pandas python scikit-learn spam-detection text-vectorization tokenization

Last synced: 30 Dec 2025

https://github.com/iv4n-ga6l/Simple-Image-Segmentation

Simple implementation of image segmentation using the Watershed algorithm

imagesegmentation matplotlib numpy opencv python watershed-algorithm

Last synced: 28 Apr 2025

https://github.com/iv4n-ga6l/Geometric-ShapesRecognizer-in-image

Geometric shapes recognizer API built in python

api-rest flask numpy opencv python shaperecognitionapi

Last synced: 28 Apr 2025

https://github.com/harshavardh8n/machine-learning-projects

Machine Learning Projects: A collection of machine learning projects developed as part of the curriculum, utilizing libraries such as NumPy, Pandas, Seaborn, and Matplotlib. These projects demonstrate various algorithms, including Apriori and Decision Trees, showcasing practical applications and data analysis techniques.

apriori-algorithm decision-trees jupyter-notebook machine-learning numpy pandas python

Last synced: 18 Jan 2026

https://github.com/piyushxbhardwaj/credit-card-fraud-detection

In this project, we focus on developing a machine learning model to detect fraudulent transactions within credit card data. Credit card fraud poses a significant challenge to financial institutions and consumers globally, with traditional rule-based detection systems often struggling to adapt to new fraud tactics.

matplotlib numpy pandas python scikit-image seaborn

Last synced: 09 Oct 2025

https://github.com/sakhileln/multimodal-agent

A beginner-friendly project to build a simple multimodal AI agent. 🦾

agent agents ai keras nlp nlp-machine-learning numpy opencv pillow spacy-nlp tensorflow

Last synced: 27 Jun 2025

https://github.com/pramodyasahan/cifar-10-object-recognition

This repository contains a TensorFlow-based image classification model designed to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset comprises 60,000 32x32 color images in 10 classes, with 6,000 images per class.

convolutional-neural-networks numpy python tensorflow

Last synced: 06 Jul 2025

https://github.com/sandeepannandi/slicecam

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

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

Last synced: 27 Jun 2025

https://github.com/yimethan/basics-of-data-analysis

2023-2 Basics of Data Analysis

data-analysis numpy pandas python

Last synced: 12 Apr 2025

https://github.com/andrewsy1004/logistic-regression-spam-classifier

This project implements a spam email classifier using Logistic Regression.

numpy pandas scikit-learn

Last synced: 11 Oct 2025

https://github.com/daksh777/expressando

Expressando is a rock, paper, scissors game made using Python (TensorFlow, Keras and OpenCV)

keras keras-tensorflow machine-learning numpy opencv opencv-python tensorflow

Last synced: 01 Mar 2025

https://github.com/anas436/ibm-cloud-data-analysis-of-cars

Exploratory Data Analysis of Cars in Python

ibmwatson matplotlib numpy pandas python3 seaborn

Last synced: 06 Jul 2025

https://github.com/shwetapardhi/assignment-04-simple-linear-regression-2

Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

correlation-analysis data-visualization distplot eda feature-engineering model-building model-predictions model-template numpy ols-regression p-value pandas python r-square-values regression-plot seaborn simple-linear-regression smf statsmodels t-score

Last synced: 27 Feb 2025

https://github.com/shwetapardhi/assignment-03-q2--hypothesis-testing

Anova ftest statistics A hospital wants to determine whether there is any difference in the average Turn Around Time (TAT) of reports of the laboratories on their preferred list. They collected a random sample and recorded TAT for reports of 4 laboratories. TAT is defined as sample collected to report dispatch. Analyze the data and determine wheth

annova ftest hypothesis-testing numpy pandas python scipy significance-testing stats

Last synced: 27 Feb 2025

https://github.com/shwetapardhi/assignment-1-q11--basic-statistics-level-1

Q11) Suppose we want to estimate the average weight of an adult male in Mexico. We draw a random sample of 2,000 men from a population of 3,000,000 men and weigh them. We find that the average person in our sample weighs 200 pounds, and the standard deviation of the sample is 30 pounds. Calculate 94%,98%,96% confidence interval?

confidence-interval normalization numpy pandas python scipy stats

Last synced: 27 Feb 2025

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

💊detect diabetes using machine learing

added machinelearning numpy pandas python scikit

Last synced: 14 Sep 2025

https://github.com/mkdirer/disaster-tweet-nlp-adaboost-transformers

A machine learning project that classifies tweets as disaster-related or non-disaster-related using transformers and the AdaBoost technique. Achieved an accuracy of approximately 80% on the validation set

geopy keras matplotlib numpy pandas python sklearn tensorflow

Last synced: 16 Oct 2025

https://github.com/pedrolustosa/energyforecasting

This project offers a complete solution for solar energy generation analysis and forecasting, using different machine learning models and a modern, intuitive web interface.

artificial-intelligence axios bootstrap5 chartjs css data-science fastapi fontawesome html5 numpy pandas python r react react-bootstrap rpy2 sklearn spinner toastr typescript

Last synced: 30 Dec 2025

https://github.com/jha2001/prodigy_infotech_task_02

Task- 02: Create a K-means clustering algorithm to group customers of a retail store based on their purchase history

google-colab k-means-clustering matplotlib numpy pandas seaborn

Last synced: 05 Sep 2025

https://github.com/pedro-stanaka/dlnd-projects

Projects from Deep Learning Nanodegree from Udacity

artificial-neural-networks deep-learning machine-learning numpy python3

Last synced: 22 Jul 2025

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

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

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

Last synced: 24 Dec 2025

https://github.com/jahanostg/healthguard_with-smart-ai-diagnosis-hub

This project is a Flask-based platform for patients, donors, and doctors, integrating hospital management in one solution. It uses Machine Learning models for predictive health analysis and Power BI for interactive dashboards. Through this project, I enhanced my skills in full-stack development, applied ML, and healthcare data solutions.

css flask-api google-colaboratory-notebooks html5 js machine-learning mysql numpy pandas pkl-model powerbi python-3

Last synced: 06 Sep 2025

https://github.com/ljadhav25/false-alarm-detection

The data was first pre-processed and analysis libraries like Numpy and Pandas were used to make it ready to be utilized by a machine learning algorithm.Problems like standard scaling, categorical data and missing values were handled with appropriate techniques. Then, we used LogisticRegression model.

flask flask-api logestic-regression numpy pandas pkl pycharm-ide python

Last synced: 19 Jan 2026

https://github.com/muhammadadilnaeem/bcg-data-science-job-simulation-on-forage-august-2024

This repository contains all the tasks, code, and documentation completed during the BCG Data Science job simulation on The Forage platform. The simulation focused on analyzing customer churn, building predictive models, and presenting insights for a major utility company.

bcg customer-churn-prediction-with-machine-learning data data-science forage numpy pandas

Last synced: 29 Oct 2025