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.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/williyam-m/movie-recommendation-system
Developed a web app with a cosine similarity machine learning model for personalized recommendations based on user history, likes, bookmarks, and activity. Implemented user auth and CRUD operations for movies.
django machine-learning numpy pandas prediction-model python scikit-learn
Last synced: 10 Apr 2026
https://github.com/mchenryspagg/prosper-loan-project
A data analysis project that entails using the data from a fictional loan company known as Prosper to perform exploratory data analysis using univariate, bivariate and multivariate visualizations to produce insights that answers questions asked from the data
datastorytelling exploratory-data-analysis exploratory-data-visualizations jupyter-notebook matplotlib-pyplot numpy pandas python seaborn-plots
Last synced: 13 Apr 2026
https://github.com/nvinayvarma189/deep-learning-with-tensorflow
This repo consists all the basics of tensorflow and all major Deep Learning algorithms and techniques implemented in tensorflow. It will explain you the basics of tensorflow. You can visualize how tensors flow through a grapg while you create one
autoencoder cnn deep-learning gan matplotlib neural-network numpy pandas python3 reinforcement-learning rnn tensorflow
Last synced: 11 Apr 2026
https://github.com/ankushmallick1100/diabetes-prediction-of-females-using-maching-learning-techniques
This is a machine learning work that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here various machine learning algorithms like SVM, RF Classifier, DT Classifier, KNN, LR , LR with CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library.
classification cross-validation decision-tree-classifier diabetes diabetes-prediction jupyter jupyter-notebook logistic-regression machine-learning machine-learning-algorithms numpy pandas python random-forest random-forest-classifier regression streamlit support-vector-machine xgboost xgboost-classifier
Last synced: 04 Apr 2026
https://github.com/rahatmoktadir03/market-anomaly-detection
This AI-engineering project involves building a machine learning model to classify financial market conditions and detect potential market crashes. It includes developing investment strategies based on the model’s predictions and designing an AI-driven bot to explain the results to end users.
ai anomaly-detection financial-analysis investment-strategies machine-learning numpy pandas python sklearn
Last synced: 09 Feb 2026
https://github.com/hrishixd/weather-data-analysis
This project involves analyzing weather data using Python to uncover patterns and trends in temperature, precipitation, and other meteorological parameters. The analysis showcases the use of Python libraries for data cleaning, manipulation, and visualization.
Last synced: 17 Apr 2026
https://github.com/adityashinde716/liam-the-healthcare-chatbot
Made a healthcare chatbot Liam which will help you to detect your health problem and gives precautions.
csv numpy pandas python python3 random random-forest random-forest-classifier requests sklearn sklearn-library sklearn-model
Last synced: 05 May 2026
https://github.com/vvipjain/stock-trend-analysis
Stock Trend Analysis
matplotlib numpy numpy-arrays numpy-library pandas pandas-dataframe pandas-library pandas-python pyhton3 python seaborn
Last synced: 13 Apr 2026
https://github.com/nemeslaszlo/dog_breed_identification
Dog breed identification model to identify and label 120 different dog breeds.
matplotlib numpy pandas tensorflow tensorflow-hub
Last synced: 13 Apr 2026
https://github.com/paulo-santos-ds/dados-telefonia
Este projeto tem como objetivo desenvolver um modelo que possa analisar o comportamento do cliente e recomendar um dos planos mais recentes de uma companhia telefônica fictícia.
matplotlib numpy pandas python3 sklearn
Last synced: 12 Apr 2026
https://github.com/prashver/customer-segmentation
This project utilizes unsupervised machine learning to segment bank customers for targeted marketing campaigns. It covers tasks like data exploration, determining optimal clusters, and applying k-means for segmentation. Ideal for marketing departments in banking and retail industries.
customer-segmentation matplotlib numpy pandas seaborn sklearn
Last synced: 07 Apr 2026
https://github.com/pranav-bot/ml-dl-models-from-scratch
This contains the most commonly used machine learning and deep learning models written from scratch without the use if any libraries except Numpy which is used for calculations
deep-learning descion-tree from-scratch linear-regression logistic-regression machine-learning naive-bayes neural-networks numpy perceptron pytorch qlearning random-forest regression reinforcement-learning support-vector-machines svm
Last synced: 15 Apr 2026
https://github.com/satyanaryana-merla/financial-analysis-in-loan-analytics
sample datasets containing information about several loans, including details such as loan amount, interest rate, term duration, and other key characteristics. For this project, we need you to calculate a cash flow amortization schedule for each loan,
amortization amortization-schedule bank numpy pandas python
Last synced: 17 Apr 2026
https://github.com/gandhasiri-rahul-mohan/association-rules-q1-books
Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots
apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-machine-learning
Last synced: 04 May 2026
https://github.com/harmim/vut-sui-homework
Umělá inteligence a strojové učení - Domácí úloha
artificial-intelligence classification gaussian-distribution logistic-regression machine-learning matplotlib numpy nuralnetwork python scipy sui torch vut vut-fit
Last synced: 17 Apr 2026
https://github.com/tynab/machine-learning-overview
CyberSoft Machine Learning 03 - Overview
elasticnet-regression jupyter-notebook k-nearest-neighbours knn knn-classification label-encoder lasso-regression linear-regression logistic-regression machine-learning matplotlib numpy one-hot-encoder ordinal-encoder pandas ridge-regression scikit-learn scipy seaborn sklearn
Last synced: 11 Apr 2026
https://github.com/rcghpge/pymo
A framework in Mojo for AI/ML/DL applications and other domains.
deep-learning deep-neural-networks machine-learning machine-learning-models magic-cli max-gpu modular mojo mojo-language numpy pandas pymo python python-language scikit-learn
Last synced: 15 Mar 2025
https://github.com/felixsoderstrom/perceptron-for-ocr
Training an AI model to recognize handwritten digits
ai backpropagation machine-learning neural-network numpy pytorch
Last synced: 23 Apr 2025
https://github.com/datarohit/nlp-course-files
The files in this Repo are files for the online NLP-Course from Udemy.com which I completed.
nlp nlp-machine-learning nltk numpy panda python sklearn spacy
Last synced: 12 Apr 2026
https://github.com/cyberoctane29/unicorn-companies-analysis
This project explores unicorn companies, private startups valued at over $1 billion, using Python for data analysis. It covers industry trends, geographic distribution, and investment patterns through EDA, including data cleaning, handling missing values, datetime transformations, and visualizations to uncover key insights.
data-analysis eda numpy pandas python
Last synced: 02 May 2026
https://github.com/kaushikrohida/leetcode-premium
mysql numpy pandas pandas-dataframe postgresql python3
Last synced: 05 Apr 2026
https://github.com/uni-creator/handwritten_number_recognition_system
A Handwritten Number Recognition System built from scratch using Deep Learning from Scratch. The model is trained on digit images and can classify handwritten numbers with high accuracy.
computer-vision deep-learning handwritten-digit-recognition image-processing implementation-from-scratch minst nueral-networks numpy pandas pytorch
Last synced: 17 Apr 2026
https://github.com/mathpfreitas/top-hits-spotify-2000-to-2019-
# 🎧 Top Hits Spotify (2000 - 2019)Explore music trends from 2000 to 2019 with this dataset of songs, artists, and genres. Use the insights to understand what makes a hit in today's music landscape. 🐙💻
analysis analytics chart data-analysis data-visualization exploratory-data-analysis hits interactivedashboards jupyter-notebook matplotlib music musical numpy pandas plotly python timeseries track-hits
Last synced: 01 Jul 2025
https://github.com/Vice777/SAFE-HEART
Classify the chances of having a Heart Attack based on your Heart's Condition.
kaggle machine-learning matplotlib mlfromscratch mlp-classifier multilayer-perceptron-network numpy pandas pickle streamlit streamlit-webapp
Last synced: 11 Mar 2025
https://github.com/34j/numpy-flint-arb
Arbitrary precision floating / ball arithmetic (interval arithmetic) dtype in NumPy / array API
acb arb arbitrary-precision array-api flint interval-arithmetic mpmath numpy
Last synced: 10 Mar 2026
https://github.com/iv4n-ga6l/openpose-prediction
Person's body parts or joint position detection using openCV
detection numpy opencv prediction prediction-model python
Last synced: 17 Apr 2026
https://github.com/ahmed-hassan-ai/nlp-sentiment-analysis
Sentiment Analysis
dropout keras lstm matplotlib numpy pandas regularization seaborn
Last synced: 30 Apr 2026
https://github.com/dhruvsrikanth/pynn
Purely NumPy based API for building deep neural networks.
deep-learning deep-learning-framework machine-learning numpy python pytorch
Last synced: 09 May 2026
https://github.com/michael-insights/portfolio
This repository showcases my projects and skills in Data Analytics, Data Science, and Machine Learning. It includes hands-on work in data analysis, predictive modeling, and machine learning algorithms, aimed at solving real-world problems.
data-analytics data-science data-visualization datapreprocessing jupyter-notebooks machine-learning matplotlib numpy pandas predictive-modeling python scikit-learn sql
Last synced: 11 Apr 2026
https://github.com/kavayk29/quora-duplicate-question-pair
This project improves information retrieval by detecting duplicate question pairs in the Quora dataset using data exploration, text preprocessing, feature engineering, and models like Random Forest and LSTM, aiming to streamline question-answering.
beautifulsoup4 bilstm gensim keras lstm matplotlib numpy pandas pytorch random-forest seaborn sklearn tensorflow xgboost
Last synced: 21 Jan 2026
https://github.com/gitfrandu4/40982-p1
Repositorio de la Práctica 1 en Visión por Computador, explorando el uso de OpenCV para crear imágenes artísticas, manipular píxeles y capturar video. Incluye ejercicios como diseño de un tablero de ajedrez, estilo Mondrian, y un efecto “Pop Art” con la cámara web.
computer-vision image-processing mondrian-style numpy opencv pop-art python visual-art webcam-capture
Last synced: 09 Apr 2026
https://github.com/mdaffailhami/data_science_speedrun_journey
This repository contains notebooks and projects related to my data science speedrun journey.
algebra artificial-intelligence data-analysis data-analyst data-science data-scientist jupyter-notebook machine-learning math mathematics numpy pandas postgresql probability python statistics
Last synced: 05 Apr 2026
https://github.com/dantasl/probabilidade-analise
Análise sobre o desempenho dos discentes na disciplina Resolução de Problemas Matemáticos Para Tecnologia da Informação (RPMTI) nos semestres de 2015.2, 2016.1 e 2016.2
data-science numpy pandas probability
Last synced: 13 Apr 2026
https://github.com/aarryasutar/linear_multivariate_regression_on_football_statistics
Linear regression models are used to predict football player attacking stats based on attributes like finishing and passing, with the model trained, evaluated, and applied for predictions. Multiple features improve accuracy, and performance is assessed using metrics like MSE and R-squared.
datasets feature-selection football-stats linear-reg machine-learning mae mse multivariate-regression numpy pandas rmse scatter-plot train-test-split
Last synced: 14 Apr 2026
https://github.com/camilajaviera91/apache-beam-pipeline-first-approach
This code demonstrates how to integrate Apache Beam with scikit-learn datasets and perform simple data transformations. It loads the Linnerud dataset from scikit-learn, converts it into a Pandas DataFrame for easier manipulation.
apache-beam dataframes glob kmeans-clustering matplotlib-pyplot mean-absolute-error mean-square-error numpy os pandas pipelines scipy-stats seaborn silhouette-score sklearn sklearn-datasets standardscaler
Last synced: 28 Apr 2026
https://github.com/priyanka7411/customer-churn-prediction
Customer Churn Prediction using machine learning. This project covers the full data science lifecycle—data cleaning, exploratory analysis, feature engineering, model building, and extracting actionable business insights.
jupyter-notebook model numpy pandas python random-forest-classifier scikit-learn-matplotlib-seaborn
Last synced: 04 May 2026
https://github.com/vidhi1290/zomato-data-analysis
Zomato Data Analysis - Explore the world of Zomato restaurant data through Python and data analysis. Uncover trends and insights using Pandas for data manipulation and Matplotlib for visualization. Join us in this journey to reveal the hidden stories within the data!
data-analysis data-analysis-python data-science data-visualization dataprocessing machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn zomato-data-analysis
Last synced: 11 Apr 2026
https://github.com/shahinuralambhuiyan/learning-ml
Start learning Machine Learning basic from CodeBasics Channel
anaconda jupyter-notebook kaggle-dataset matplotlib numpy pandas pip python
Last synced: 12 Apr 2026
https://github.com/venky-1710/stress-level-predection
Stress Level Prediction is a web app using machine learning to estimate user stress levels. It takes inputs like anxiety, sleep quality, and academic performance, then predicts stress using a Decision Tree Classifier. Built with Python, Flask, and scikit-learn, it's useful for students, researchers, and those interested in stress management.
css flask html machine-learning numpy pandas python python-sklearn scikit-learn
Last synced: 05 Apr 2026
https://github.com/ngirimana/ml_knn
Welcome to the KNN Project! This will be a simple project very similar to the lecture, except you'll be given another data set. Go ahead and just follow the directions below.
artificial-intelligence knn-algorithm knn-classification knn-classifier machine-learning matplotlib numpy pandas python3 searbon
Last synced: 12 Apr 2026
https://github.com/tynab/inferential-statistics
CyberSoft Machine Learning 03 - Inferential Statistics
anaconda anaconda-navigator cybersoft cybersoft-academy inferential-statistics ipynb jupyter-notebook machine-learning machine-learning-03 matplotlib ml ml-03 numpy pandas py python scikit-learn scipy seaborn sklearn
Last synced: 06 Mar 2026
https://github.com/palak-463/tablataalrecognitionsystem
Software built using Python which makes use of CNN and FNN to detect the Taals of the Tabla, an Indian classical music instrument. 🎛️
cnn deep-learning flask fnn librosa numpy os pickle python scikit-learn
Last synced: 11 Apr 2026
https://github.com/mattdelaune/saas_cohort_analysis
This project analyzes customer segmentation and behavior using data science and cohort analysis. Key metrics like CRR, NRR, CLR, and CLV are examined through detailed charts, including the cohort layer cake and CLR vs. CLV cost efficiency analysis. Exploratory Data Analysis and systematic data manipulation reveal actionable insights.
anaconda git jupyter-notebook matplotlib numpy pandas python saas-data sales-data sales-data-analysis-project seaborn
Last synced: 03 Jan 2026
https://github.com/shanmukhsrisaivedullapalli/cifar10
This project uses TensorFlow to classify images from the CIFAR-10 dataset. It compares the performance of an Artificial Neural Network (ANN) and a Convolutional Neural Network (CNN), covering data preprocessing, model training, evaluation, and prediction on new images.
cifar10-classification cnn-classification matplotlib neural-networks numpy pickle pillow python3 tensorflow
Last synced: 03 Feb 2026
https://github.com/vijayjoshi16/credit-card-fraud-detection-using-ml-in-python
Credit Card Fraud Detection Using ML in Python
data-analysis jupyter-notebook logistic-regression machine-learning matplotlib-pyplot numpy pandas python regression seaborn
Last synced: 17 Apr 2026
https://github.com/rhazra-003/fake_news_detector
A Machine Learning model to detect fake news with more than 95% accuracy
fake-news numpy pandas scikit-learn
Last synced: 18 Apr 2026
https://github.com/nitsc/spell-from-threebodytrilogy
Implemented the process of extrapolating from Gaia stellar data, to 3D visualizations, to three-views, to three-view signals, to three-view audio of signals, and even their inversions. This project proves the feasibility of the Logic (Luoji)'s “spell” from “The Three Body Problem” trilogy.
3d 3d-graphics astronomy astronomy-astrophysics audio audio-processing data data-science data-visualization gaia graph information-technology information-visualization numpy python python-3 python3 signal signal-processing visiualization
Last synced: 02 May 2026
https://github.com/madhuresh2011/amazon-sales-report-analysis-using-python
This project focuses on analyzing Amazon sales data using Python to uncover insights into sales performance, customer behavior, and product trends
charts cleaning-data data-analysis jupyter-notebook matplotlib numpy pandas python seaborn visualization
Last synced: 17 Apr 2026
https://github.com/yashuv/numpy-for-data-science
A well structured practical deep dive into functional programming in NumPy.
Last synced: 28 Oct 2025
https://github.com/shriram-vibhute/digit_classification
This project demonstrates various machine learning techniques for classifying handwritten digits from the MNIST dataset. It covers data preprocessing, model training, evaluation, and advanced classification strategies.
classification data-analysis data-visualization machine-learning matplotlib numpy pandas sk-learn
Last synced: 28 Oct 2025
https://github.com/sun-data/named-arrays
Python library that implements named tensors with Astropy Quantity support.
astropy named-arrays named-tensor numpy python scientific-computing
Last synced: 28 Oct 2025
https://github.com/rakibhhridoy/easywaydiveinto-datascience
Data Science is not as easy as it seems at first. The most problem faced by new learner are lack of resource knowledge as well as confusion in using the various resources. I hope this repository will benefit confusion learner.
algorithms algorithms-implemented bayesian-statistics data-science deep-learning deep-neural-networks linear-algebra machine-learning matplotlib multivariate-calculus numpy optimization pandas python scikit-learn scipy seaborn statistics statsmodels tensorflow
Last synced: 06 Apr 2026
https://github.com/takana671/photoeditor
Python image processing tool
canvas composite dialog-box drag images-dragged numpy opencv photoeditor pillow pixel tkdnd tkinter tkinter-canvas tkinter-python tkinterdnd tkinterdnd2
Last synced: 26 Mar 2025
https://github.com/tillahoffmann/idxhound
🐶 Track indices across one or more numpy selections.
data numpy scientific-computing
Last synced: 14 May 2026
https://github.com/eljandoubi/landmark-classification-tagging-for-social-media
a CNN-powered app to automatically predict the location of the image based on any landmarks depicted in the image.
cnn-classification numpy pytest pytorch transfer-learning
Last synced: 07 May 2026
https://github.com/saif-gitreps/car-price-prediction-model
ML model that predicts car price based on different car features. (in dev..)
data-preprocessing data-visualization matplotlib numpy pandas python seaborn
Last synced: 01 Apr 2025
https://github.com/RYANFRANKLIN237/Data-science-ml
trained ML and DL models to give accurate classifications,predictions and recommendations
artificial-neural-networks convolutional-neural-networks jupyter-notebooks kaggle keras logistic-regression naive-bayes-algorithm numpy pandas python scikitlearn-machine-learning tensorflow
Last synced: 30 Apr 2025
https://github.com/sidsurakanti/mnist-classification
realtime handwritten digit recognition & mnist digit classification from scratch w/ only maths and numpy
classification math ml mnist numpy
Last synced: 14 May 2026
https://github.com/isaacef/independent-motion-detector
Detect independently moving objects in a scene captured by a single camera.
Last synced: 09 May 2026
https://github.com/renan-siqueira/face-recognition-research
This project pertains to video analysis, face recognition, and image clustering.
data-science deep-learning dlib docker docker-image face-recognition machine-learning neural-network neural-networks numpy opencv opencv-python pillow python scikit-learn scipy
Last synced: 13 Apr 2026
https://github.com/nathanielsimard/numpy-mnist-classifier
Feed forward neural network using Numpy for MNIST classification.
deep-learning machine-learning mnist mnist-classification mnist-classifier numpy
Last synced: 29 Apr 2026
https://github.com/sumitgirwal/diabetes-linear-regression-ml
This is a simple diabetes checker machine learning test model, build with linear regression in Python , Matplotlib, NumPy, and sklearn. Diabetes is built in a dataset within the sklearn library. Where first you train the model then you apply a test to see how the output/result is approximate/good or change something in the model.
linear-regression matplotlib numpy python3 sklearn
Last synced: 18 Apr 2026
https://github.com/abhy-kumar/ahmedabad-weather-projection
This notebook tries to predict Ahmedabad's weather using historical trends
arima-forecasting numpy pandas python
Last synced: 13 Apr 2026
https://github.com/lunastev/flowmodel
FlowModel is a lightweight and extensible machine learning framework designed for beginners to easily experiment with AI development through a modular plugin architecture.
ai ai-model ai-models beginner-friendly flow-model flow-models flowmodel framework lightweight machine-learning model numpy plugin-architecture python torch torchvision
Last synced: 20 May 2026
https://github.com/rasbeetech/loan-calculator
Tkinter framework application
matplotlib numpy python tkinter
Last synced: 20 Mar 2025
https://github.com/msadeqsirjani/machine_learning_hands_on
A comprehensive machine learning repository containing different concepts, algorithms and techniques.
cnn computer-vision data-analysis data-science data-visualization deep-learning keras machine-learning matplotlib neural-network nlp numpy open-source pandas python rnn scikit-learn seaborn tensorflow
Last synced: 06 Apr 2026
https://github.com/yanboishere/Trade.with-SuperTrend.parameter
OKX API to confirm the process of appearance and disappearance of upper or lower limit lines for the super trend parameters in crypto trading pairs in TraderView, and perform multiple buying and selling transactions based on this parameter index.｜对于crypto交易对中 TraderView中的超级趋势参数 出现以及消失上限线或下限线前后过程进行确认 从而根据该参数指标的出现 进行多次合约做多&做空 开仓买卖 （使用OKX api）
bitcoin blockchain bot btc crypto cryptocurrency cryptography numpy okx okx-api okx-sdk okx-v5 python talib trade trade-bot tradebot
Last synced: 22 Oct 2025
https://github.com/abdullokhonz/python_lessons
Python lessons are here.
abramyan codewars eel flappy-bird gtts instaloader instasaver leetcode lessons numpy os pygame pyowm python python3 random telebot tkinter turtle
Last synced: 15 May 2026
https://github.com/harmanveer2546/music-genre-classification
Classifying the genre of a music using deep neural networks.
cnn deep-learning ipython keras knn labelencoder librosa music numpy pandas pickle python scipy sequential svc tensorflow
Last synced: 06 Apr 2026
https://github.com/anumit-web/ml-masterlist-2024
ML Masterlist, Machine Learning, 2024
image-segmentation kmeans-clustering machine-learning matplotlib numpy pandas reinforcement-learning scikit-learn supervised-learning unsupervised-learning
Last synced: 19 Jan 2026
https://github.com/katerynazakharova/deep-learning-and-neural-networks
Examples of NN models. DL algorithms
deep-learning dl h5py matplotlib neural-network neural-networks nn numpy pli scipy
Last synced: 26 Mar 2025
https://github.com/cypher-adi/loan-predictor
A loan approval prediction system.
flask ipynb-jupyter-notebook machine-learning numpy
Last synced: 05 Mar 2026
https://github.com/aryansk/mnist-deep-learning-exploration
This repository contains implementation of various deep learning approaches for the MNIST handwritten digit classification task, using both scikit-learn and Keras frameworks.
keras machine-learning machine-learning-algorithms mnist-classification numpy python scikit-learn tensorflow
Last synced: 08 Apr 2026
https://github.com/lioccoumd/news-sentiment-analysis
This scrapes a variety of news stations websites for article titles and evaluates them using distilBERT pretrained model for sentiment analysis.
beautiful datasets distilbert news nltk numpy python pytorch reques scraping-websites sentiment-analysis transformers
Last synced: 16 Feb 2026
https://github.com/mirgis/sassy-sandbox
A diverse code collection encompassing Python, JavaScript, Julia, and others, providing a wealth of examples, experiments, and snippets.
android aws bokeh ipynb ipywidgets javascript julia kotlin matplotlib numpy playground python3 r sandbox scipy
Last synced: 02 Apr 2026
https://github.com/artikumari28/movie-recommender-system
This project is a content-based movie recommendation system, where movies are recommended based on their similarity in content. The system analyzes various features such as genres, cast, and descriptions to suggest similar movies.
google-colab machine-learning nltk numpy pandas pickle scikit-learn streamlit
Last synced: 06 Apr 2026
https://github.com/jai0212/cash-app-bias-busters
A platform developed with Cash App to help ML engineers detect and visualize biases in models using Fairlearn. Features include a collaborative and interactive dashboard (React, Chart.js), a Flask backend, and a secure MySQL database for data storage and analysis.
bias-detection chartjs fairlearn flask machine-learning mysql numpy pandas pytest python react scikit-learn scipy
Last synced: 16 Feb 2026
https://github.com/msadeqsirjani/cinemetrics
This project focuses on analyzing the Netflix dataset to gain insights into the movies and TV shows available on Netflix.
decision-trees jupyter matplot netflix nlp nltk numpy pandas plotty python scikitlearn-machine-learning seaborn sklearn svm
Last synced: 06 Apr 2026
https://github.com/gourab-sinha/instabot
This project is all about web scraping using Selenium, BeatifulSoup and Python Packages.
beautifulsoup matplotlib numpy pandas python3 selenium-python
Last synced: 06 Apr 2026
https://github.com/epsoft/image-augmentation
Image Augmentation
conv2d database datase dense image-augmentation matplotlib numpy os pyplot sequential tensorflow
Last synced: 06 Apr 2026
https://github.com/raghavendranhp/waiter_tip_prediction
The "Waiter Tips Prediction Model" is a machine learning tool that forecasts waiter tips based on factors like the total bill, customer demographics, and dining specifics. It assists waitstaff and restaurants in understanding and estimating tipping patterns
eda numpy pandas plotly-express plotly-graph-objects python sklearn
Last synced: 06 Apr 2026
https://github.com/bl33h/relations
A program for relation analysis and matrix operations using numpy. It determines relation types and performs matrix computations.
discrete-mathematics matrix matrix-operations numpy python relations
Last synced: 15 May 2026
https://github.com/charmee123/krishak_vriddhi
https://krishak-vriddhi.onrender.com
bootstrap css flask html javascript machinelearning-python numpy pandas scikit-learn
Last synced: 06 Apr 2026
https://github.com/priyanshgoantiya/ml-from-scratch-without-sklearn
This repository contains machine learning algorithms implemented from scratch using only NumPy—without relying on scikit-learn or other high-level ML libraries. The goal is to provide a deeper understanding of how fundamental machine learning models work under the hood by implementing them step by step.
Last synced: 15 May 2026
https://github.com/frknbm/python
data-science data-structures numpy pandas pycharm python
Last synced: 06 Apr 2026
https://github.com/bl0nder/regressify
A multi-task neural network coded from scratch that performs simultaneous regression and classification.
classification deep-learning multitask-learning neural-networks numpy regression
Last synced: 15 May 2026
https://github.com/upul/chocolate-quality-analysis
This repository contains a Jupiter notebook which describes how to use basic machine learning tools such Scikit-Learning, Pandas, and Numpy for buiding models.
machine-learning numpy pandas predictive-analytics scikit-learn
Last synced: 04 May 2026
https://github.com/emersonpenelli/100-days-of-code-with-python
Repositório da jornada de 100 dias codando em Python.
100daysofpython flask numpy pandas plotly python selenium-webdriver sqlite tkinter
Last synced: 11 Apr 2026
https://github.com/jaffar-hussein/python-pdb-parser-and-analysis
A Python-based parser and analysis tool for Protein Data Bank (PDB) files. The project aims to facilitate the manipulation of PDB files, enabling users to extract and compute various structural properties of proteins, such as counting amino acid residues and calculating distances between atoms.
jupyter-notebook matplotlib numpy pdb pdb-parser python3 seaborn
Last synced: 10 May 2026
https://github.com/mchenryspagg/outlier-detection-in-election-data
This project aims to examine possible voting irregularities in Nigeria's 2023 election, focusing on alleged vote manipulations by INEC. It seeks to ensure election transparency by identifying polling units with results that significantly differ from nearby units.
geographic geographical-information-system geospatial-analysis geospatial-data latitude-and-longitude matplotlib-pyplot numpy outlier-detection pandas python seaborn
Last synced: 20 Jan 2026
https://github.com/mthiboust/array2image
Converts a Numpy array to a PIL image.
array data-visualization image numpy pillow plotting python
Last synced: 15 May 2026
https://github.com/vidhi1290/text-classification-model-with-attention-mechanism-nlp
This Python project utilizes PyTorch to perform text classification with an attention mechanism. Pre-trained GloVe embeddings are processed for word representation, and a custom attention model is trained on consumer complaint data to categorize complaints into product categories.🎯
attention-mechanism deeplearning machine-learning nlp nltk numpy pandas python pytorch scikit-learn text-classification tqdm
Last synced: 06 Apr 2026
https://github.com/mahnoorsheikh16/credit-card-default-prediction
This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.
encoding hiplot imblearn json knn-imputer logistic-regression matplotlib numpy pandas pca-analysis plotly scipy seaborn sklearn smote streamlit support-vector-machines timeseries-forecasting visualization xgboost-classifier
Last synced: 06 Apr 2026
https://github.com/thomasonzhou/minitorch
rebuilding pytorch: from autograd to convolutions in CUDA
Last synced: 02 Feb 2026
https://github.com/anish202020/big-data-analysis-mini-project
The primary purpose of this code is to predict wind speed using an LSTM model. The model is trained on historical wind speed data to forecast future values.
keras matplotlib-pyplot numpy pandas sklearn
Last synced: 12 Apr 2026
https://github.com/nisaaragharia/neural-networks-from-scratch
Neural Networks from scratch
artificial-intelligence beginner machine-learning neural-network numpy pandas
Last synced: 07 May 2026
https://github.com/ewertondrigues02/dados-do-covid-19
Análise exploratória dos dados do COVID-19 / de 22 de Janeiro de 2020 a 27 de Julho de 2020 em 188 países análise feita com as ferramentas como: jupyter Notebook, Google Colab, Excel, Power BI e bibliotecas: Pandas, Matplotlib, Numpy.
analise-exploratoria colab covid-19 covid19 dataframe folium folium-maps folium-python google-colab jupyter jupyter-notebook numpy pandas python3
Last synced: 02 May 2026
https://github.com/huichuanli/play-with-linear-algebra
use python3 and Numpy to realize my personal linear Algebra library
Last synced: 07 May 2026
