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: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/virajbhutada/google-stock-price-forecasting-lstm
Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.
data-analysis data-science data-visualization future-prediction google-dataset google-stock-price-prediction google-stocks lstm-model lstm-neural-network machine-learning machine-learning-models matplotlib model-building model-training numpy python stock-forecasting
Last synced: 27 Feb 2025
https://github.com/ashar97/financial-engineering
Financial Engineering Practicum Assignments
financial-engineering matlab numpy pandas python r yahoo-finance
Last synced: 11 Apr 2026
https://github.com/westurner/pypfi
A Python package for personal finance
arrow bootstrap3 csv factoryboy jquery jquery-tocify numpy pandas personal-finance pivot-tables python
Last synced: 11 Apr 2026
https://github.com/3rd-son/knn-breast-cancer-prediction-model-
A breast cancer prediction model using KNN with an accuracy of 96%
jupyter-notebook knn-classifier matplotlib numpy pandas python scikit-learn scipy search
Last synced: 11 Apr 2026
https://github.com/achuth-0908/hemoguard-anemia-predictor
A Web App incorporated with a Gradient Boosting Classifier Model, to predict Anemia with given data.
css flask html matplotlib numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/nemeslaszlo/financial-crisis-effects-on-some-stocks
Focusing on bank stocks to see how they progressed throughout the 2008-09 financial crisis all the way to early 2016.
cufflinks jupyter-notebook matplotlib numpy pandas pandas-datareader plotly seaborn
Last synced: 03 May 2026
https://github.com/msadeqsirjani/synapse
seizure detector with neural networks
cnn edf matplotlib neural-network numpy pyedflib python seizure-detection sklearn tensorflow
Last synced: 11 Apr 2026
https://github.com/pacatro/lse2text
Deep learning program that translates Spanish Sign Language (LSE) to text in real time.
ai cnn computer-vision deep-learning lse matplotlib numpy pandas python pytorch pytorch-lightning scikit-learn torchmetrics translation
Last synced: 11 Apr 2026
https://github.com/matx64/rs-netbot
Old School Runescape bot with CNN for object identification
Last synced: 04 May 2026
https://github.com/SudipBishwakarma/Bulk-Remove-OneSignal-Users
Bulk remove OneSignal subscribed users blazingly faster with parallel processing.
numpy pandas python python-logger python-multiprocessing python-threading python3
Last synced: 31 Mar 2025
https://github.com/nomadsdev/frequency-insight
SoundFreqAnalyzer: A Python tool to record audio, analyze frequencies, and save results.
audio-analysis audio-recording audio-tool data-visualization fft frequency-analysis keyboard-python numpy pyaudio python scipy signal-processing sound-engineering
Last synced: 21 Feb 2026
https://github.com/fatma-moanes/machine-learning-labs
My implementation for the labs of the Machine Learning course that I studied in my university, Zewail City.
bootstrap data-analysis data-science deep-learning keras knn-classification linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib ml neural-networks numpy pandas pca preprocessing python seaborn svm-classifier
Last synced: 12 Apr 2026
https://github.com/sarincr/introduction-to-pyqt5
PyQt5 is a comprehensive set of Python bindings for Qt v5. Qt is set of cross-platform Python libraries that implement high-level APIs for accessing many aspects of modern desktop and mobile systems.
app appdevelopment data-science kivy kivymd machine-learning numpy opengl pygui pyqt pyqt5 pyqt5-desktop-application pyqt6 pyside2 scipy tensorflow tkinter tkinter-graphic-interface tkinter-gui tkinter-python
Last synced: 13 Apr 2026
https://github.com/nirmalvatsyayan/data-analyst-nanodegree
Udacity data analyst nanodegree project submissions and learning
data-analysis numpy pandas python statistics udacity-data-analyst-nanodegree
Last synced: 12 Apr 2026
https://github.com/aymen016/data-visualization
A collection of data analysis projects using Python, covering various datasets and domains. Includes EDA, preprocessing, data visualization (Matplotlib/Seaborn), and Power BI dashboards.
dashboard eda jupyter-notebook matplotlib-pyplot matplotlib-python numpy pandas pandas-dataframe powerbi python seaborn seaborn-python visualization
Last synced: 15 Jun 2026
https://github.com/dhruvv1402/ai-based-realtime-hand-detection-using-opencv-and-mediapipe
A real-time AI system for detecting and tracking hands using Python, OpenCV, and Mediapipe. This project demonstrates how to identify hand landmarks and extract gesture data for further applications like gesture control, sign language interpretation, and more.
mediapipe numpy opencv os python python3 time
Last synced: 12 Apr 2026
https://github.com/pandeyankit123/books-recommender-system-using-machine-learning
This is a streamlit web application that can recommend various kinds of similar books based on an user interest.
jupyter-notebook machine-learning numpy pandas pickle python streamlit
Last synced: 12 Apr 2026
https://github.com/nemeslaszlo/lending-club-analysis
Lending Club analysis, with a model that can predict whether or nor a borrower will pay back their loan.
binary-classification classification data-visualization keras matplotlib numpy pandas seaborn tensorflow
Last synced: 12 Apr 2026
https://github.com/codehass/facial-emotional-detection
Implement a complete AI pipeline in Computer Vision, from face detection to emotion classification using CNNs (TensorFlow/Keras) and Haar Cascades (OpenCV), and integrate this model into a FastAPI API connected to a PostgreSQL database.
cnn-model fastapi keras mathplotlib numpy opencv postgresql pydantic pytest sqlalchemy tensorflow
Last synced: 12 Apr 2026
https://github.com/satvikpraveen/fashionmnist-analysis
A comprehensive analysis of the Fashion MNIST dataset using PyTorch. Covers data preparation, EDA, baseline modeling, and fine-tuning CNNs like ResNet. Includes modular folders for data, notebooks, and results. Features CSV exports, visualizations, metrics comparison, and a requirements.txt for easy setup. Ideal for ML workflow exploration.
computer-vision confusion-matrix convolutional-neural-networks deep-learning-algorithms exploratory-data-analysis fashion-mnist-dataset fine-tuning hyperparameter-tuning image-classification jupyter-notebook machine-learning-algorithms matplotlib-pyplot model-evaluation numpy pandas pytorch resnet-18 scikit-learn seaborn vgg
Last synced: 22 Apr 2025
https://github.com/osx-rsplug-a/py_studies
Python studies
math matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/nikita-data/unit_economics_projects
unit economics & cohort analysis projects
cac churn-rate conversion create-function data-analysis data-visualization eda hypothesis-testing ltv math matplotlib numpy python retention-rate roi scipy seaborn segmentation statistics unit-economics
Last synced: 06 Jan 2026
https://github.com/lasithaamarasinghe/movie-recommender-system
This ML model recommends movies that may align with the user's preferences based on TF-IDF matrix.
jupyter-notebook machine-learning movie-recommendation movielens-dataset numpy pandas python regex scikit-learn tf-idf-vectorizer
Last synced: 12 Apr 2026
https://github.com/aahnik/gdsc-ml-ds-bootcamp-2023
This repo contains files given by my seniors as well as assignments and final project done by me during the bootcamp.
data-science machine-learning ml numpy pandas python3 scikit-learn
Last synced: 28 Oct 2025
https://github.com/shreeyas-48/creditcardfrauddetection
Project for detecting credit card frauds using neural networks and logistic regression
autoencoder keras logistic-regression matplotlib neural-networks numpy pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/mgobeaalcoba/linear_algebra_for_machine_learning
Explore fundamental linear algebra concepts essential for machine learning in this repository, with code examples and explanations. Get a solid foundation for ML!
machine-learning matplotlib numpy pandas python3 scikit-learn scipy seaborn
Last synced: 12 Apr 2026
https://github.com/kr1shnasomani/sentimentscope
Sentiment analysis on movie review using TensorFlow and GloVe embeddings
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https://github.com/Willie-Conway/Data-Science-Tools-and-Ecosystem
🧠 Explore essential Data Science 🧪 tools, 🧰 libraries, and 🐍 Python arithmetic basics — perfect for beginners!
data-science jupyter keras notebooks numpy pandas python pytorch
Last synced: 12 Jun 2025
https://github.com/rayyan9477/machine-learning-driven-backorder-prediction-system
Experience a state-of-the-art Django web application designed to predict product backorders with exceptional accuracy. This platform leverages advanced machine learning techniques, incorporating pre-trained Random Forest Classifier, Decision Tree, and LGBM models.
matplotlib notebook numpy pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/csoren66/credit-card-fraud-detection
Credit card fraud detection through logistic regression.
logistic-regression machine-learning numpy pandas python sklearn
Last synced: 03 Mar 2025
https://github.com/hansalemaos/cythonnestednumpy
performs sorting and grouping operations on multidimensional NumPy arrays using Cython and hash-based algorithms.
Last synced: 07 Jan 2026
https://github.com/antonio-f/building_a_recurrent_neural_network_step_by_step
Building a Recurrent Neural Network Step by Step
coursera deep-learning long-short-term-memory lstm numpy recurrent-neural-networks rnn step-by-step tutorial
Last synced: 30 Mar 2025
https://github.com/anish202020/real-time-emotion-face-detection
The primary purpose of this website is to detect emotions in real-time using facial expressions captured via a camera.
fer keras numpy opencv python streamlit tensorflow
Last synced: 12 Apr 2026
https://github.com/yas-sim/python-dpcpp-extension-sample-code
Python extension sample code using Intel oneAPI DPC++. The extension does a simple image processing using DPC++ kernel.
box-filter convolution-filter dpcpp gpu-acceleration gpu-programming heterogeneous heterogeneous-parallel-programming image-processing numpy numpy-capi oneapi opencl python python-extension sample-code sycl
Last synced: 13 Apr 2026
https://github.com/hugo-hattori/property_price_prediction_machine_learning
Machine Learning Project to create an AI capable of predicting property's rental prices.
ai-models artificial-intelligence joblib jupyter-notebook machine-learning machine-learning-algorithms matplotlib matplotlib-pyplot numpy pandas pathlib plotly plotly-express python seaborn sklearn sklearn-linear-model sklearn-metrics sklearn-models streamlit
Last synced: 12 Apr 2026
https://github.com/mezgoodle/bounder
bound-points cluster-analysis clustering numpy pyqt5 python
Last synced: 12 Jun 2025
https://github.com/anish202020/weather_prediction_model_21int68_internship
Predicts weather using data analysis and machine learning neural networks. The project reads data from a CSV file, processes it, trains a neural network, and visualizes the results.
keras-neural-networks keras-tensorflow matplotlib numpy pandas sklearn
Last synced: 12 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/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/datarohit/imdb-reviews-sentiment-analysis
This is a NLP - Sentiment Analysis Project built using Bernoulli-Naive-Bayes Algorithm to Predict is the IMDB Movie Review is Positive or Negative.
bernoulli-naive-bayes classification count-vectorizer multinomial-naive-bayes nltk numpy pandas porter-stemmer regex sentiment-analysis sklearn
Last synced: 29 Apr 2026
https://github.com/felixsoderstrom/perceptron-for-ocr
Training an AI model to recognize handwritten digits
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Last synced: 23 Apr 2025
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/iver56/cython-region-growing
A quick experiment: Region growing (AKA flood fill) algorithm implemented in Cython and Python
benchmark cython flood-fill numpy python region-growing
Last synced: 25 Apr 2026
https://github.com/iBz-04/DiabetesCL
Predicting instances of diabetic & non-diabetic patients with Support vector machine classifier
data-science diabetes-prediction google-colab-notebook machine-learning machine-learning-projects medical-informatics numpy pandas-python python3 sckiit-learn svm-classifier
Last synced: 21 Oct 2025
https://github.com/abtaaahi/smartxi
SmartXI — A Streamlit app to recommend football teams based on budget, formation, and style, plus predict player market values using machine learning models. Easy setup and interactive visualizations included.
machine-learning machine-learning-algorithms numpy pandas plotly python random-forest streamlit
Last synced: 13 Apr 2026
https://github.com/lironmiz/machine-learning-specialization-course
Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng
artificial-neural-networks clustering coursera decision-trees deep-reinforcement-learning gradient-descent linear-regression logistic-regression logistic-regression-classifier machine-learning ml-models numpy project recommender-system regularization-methods scikitlearn-machine-learning supervised-learning tensorflow tree-ensembles xgboost
Last synced: 03 May 2026
https://github.com/jigyasag18/gold-price-prediction-project-using-machine-learning
This repository contains a machine learning project focused on predicting gold prices (GLD) using historical stock market data, including indicators such as SPX, USO, SLV, and EUR/USD. The project implements a Random Forest Regressor for accurate price forecasting, complete with data visualization, correlation analysis, and model evaluation metrics
data dataset jupyter-notebook jupyter-notebooks machine-learning machinelearing machinelearningalgorithms machinelearningmodel machinelearningprojects matplotlib mlproject numpy pandas randomforestregressor seaborn
Last synced: 23 Jul 2025
https://github.com/fiercex/toynn
Python实现神经网络
mnist-classification neural-network numpy python
Last synced: 15 May 2026
https://github.com/sivatsk26/university-admit-eligibility-predictor
This project is created using Machine Learning and Regression methods- a statistical technique to predict the outcome of event which is to verify the users’ admission eligibility level, considering the universities they have chosen. This is achieved based on the algorithms implemented, when is user feed the application with the required information
html-css-javascript ibm-cloud ibm-watson linear-regression machine-learning matplotlib numpy pandas python python-flask random-forest scikit-learn
Last synced: 13 Apr 2026
https://github.com/imswappy/brain-tumor-detection
🧠 Deep learning project for brain tumor classification using MRI images. Built with transfer learning (VGG16 + fine-tuning), TensorFlow/Keras, and deployed via Streamlit. Dataset & model loaded dynamically from KaggleHub. Includes training notebook, evaluation, and interactive web app.
kagglehub keras numpy pandas scikit-learn streamlit tensorflow vgg16-model
Last synced: 13 Apr 2026
https://github.com/quentinwidlocher/cours-python-pandas
Jupyter Lab sur le traitement des données en python
jupyter-lab matplotlib numpy pandas python
Last synced: 13 Apr 2026
https://github.com/takkii/pylean
Data analysis ( 🐍 💎 📈 )
analayze matplotlib numpy pandas python scikit-learn
Last synced: 09 Sep 2025
https://github.com/programmer-rd-ai/moviedatascraper
Explore the cinematic universe with our IMDb web scraping project! Dive into movie data with ease, uncovering insights from cast to critical reviews. With dynamic visualizations and reliable data, let's journey through the world of movies like never before. Lights, camera, analysis!
beautifulsoup beautifulsoup4 data data-analysis jupyter-notebook matplotlib numpy pandas programming python python3 scraping seaborn software web
Last synced: 01 Mar 2025
https://github.com/programmer-rd-ai/dimensionality-reduction
DimRed is a comprehensive Python toolkit for advanced dimensionality reduction, integrating with major machine learning libraries and featuring real-time performance monitoring to enhance data analysis and model efficiency.
analytics data-analysis data-science lightgbm machine-learning matplotlib numpy pandas programming python python3 sklearn university xgboost
Last synced: 01 Mar 2025
https://github.com/codewitheshayoutube/corvit_python_data_analytics_course
I teach Python & Data Analytics at Corvit Systems. This repository contains all course materials, including code, assignments, projects, and resources. ⭐ Stay updated!
matplotlib numpy pandas python python3 scikitlearn-machine-learning seaborn
Last synced: 13 Apr 2026
https://github.com/luluw8071/neural-network-from-scratch-using-numpy
A linear neural network from scratch using Numpy for training MNIST Dataset
deep-neural-networks digit-recognition-mnist mnist-classification neural-network-from-scratch numpy python
Last synced: 15 May 2026
https://github.com/rara-ch/data-analysis-portfolio
This repository to store my data analytics projects, showcasing my skills in SQL and Python.
data-analysis mathematics matplotlib numpy pandas portfolio probability python seaborn sql statistics
Last synced: 12 Mar 2025
https://github.com/celineboutinon/bottleneck
ENSAE-ENSAI Formation Continue (Cepe)/OpenClassrooms Data Analyst 2022-2023 - Projet 5
data-analysis data-analytics data-visualisation dataframes market-intelligence marketing-analytics matplotlib-pyplot missingno numpy pandas python seaborn
Last synced: 07 Sep 2025
https://github.com/mansurpro/digitrecognizer
DigitRecognizer is a simple, handcrafted neural network implemented with NumPy to classify handwritten digits from the MNIST dataset. This project demonstrates the foundational principles of neural networks, including forward propagation, backpropagation, and gradient descent, all built from scratch without relying on deep learning frameworks.
backpropagation custom-dataset data-visualization deep-learning from-scratch gradient-descent handwritten-digit-recognition machine-learning minimal-dependencies mnist neural-network numpy python
Last synced: 16 May 2026
https://github.com/camilajaviera91/clustering-first-approach
This code will help to understand, in a simple way, how the clustering model works. To achieve this, we will input certain variables (strings and integers), then plot them to visualize and analyze how the values are positioned.
array cluster clustering dictionaries matplotlib numpy pandas python
Last synced: 13 Apr 2026
https://github.com/mardavsj/numpy-in-python
The fundamentals of Python NumPy Library.
analysis-tool data-manipulation numpy numpy-arrays numpy-matrix python
Last synced: 14 Apr 2026
https://github.com/arufonsekun/computer-vision
This repository hosts the code produced in dojos, week tasks, theoretical presentations during my attending time in the UFFS computer vision study group. (refactor in progress)
computer-vision numpy opencv python3
Last synced: 17 Apr 2026
https://github.com/juanpablo70/pgad-exam
Midterm Exam Titanic data set
data-science dataframe dataset jupyter-notebook matplotlib numpy pandas python seaburn
Last synced: 17 Apr 2026
https://github.com/hayatiyrtgl/data_analysis_project
Financial data analysis: preprocess, visualize, calculate technical indicators.
data-analysis data-analysis-python data-science dataframe numpy pandas python python3 stock-price-prediction talib trade-analysis
Last synced: 04 Apr 2026
https://github.com/mnitin-reddy/anomaly-detection-in-server-networks
This project implements an anomaly detection algorithm to identify failing servers in a network. The model is trained on a dataset with throughput and latency features, estimating parameters for anomaly detection. The approach is extended to a high-dimensional dataset, showcasing its effectiveness in detecting outliers and anomalies
anamoly data-science machine-learning matplotlib numpy pyhton seaborn
Last synced: 19 Apr 2026
https://github.com/utkarsh-284/deep-learning
This repository contains the documents and main project file needed for building DNN from scratch using NumPy.
data-science deep-learning deep-neural-networks machine-learning mnist mnist-handwriting-recognition neural-networks numpy python3
Last synced: 03 May 2026
https://github.com/simipk12/eda-healthcare-project
Healthcare Insurance Cost Analysis This project analyzes the Healthcare Insurance dataset to explore factors that influence medical charges. The goal is to identify key drivers of insurance costs, detect outliers, and provide actionable insights for individuals, insurance companies, and policymakers.
eda matplotlib numpy pandas python seaborn
Last synced: 04 May 2026
https://github.com/musfiquejim/enacp-a-hybrid-machine-learning-framework-for-detecting-anticancer-peptides
EnACP: একটি Ensemble Learning মডেল যা অ্যান্টিক্যান্সার পেপটাইড সনাক্তকরণের জন্য ব্যবহৃত হয়।
adamoptimizer ai cnn-classification data-visualization deep-learning densenet inceptionv3 machine-learning matplotlib-pyplot numpy pandas randomforestclassifier randomforestregressor restnet sklearn u-net-pytorch vgg16 vgg19
Last synced: 04 May 2026
https://github.com/mdaiyub/face-mask-detection
Hello, Welcome to my mask detection project
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https://github.com/pinedah/escom_programming-for-data-science
This repository contains personal notes, exercises, and programs from the Programming for Data Science course at Instituto Politécnico Nacional (IPN). The course focuses on using Python programming for data handling, statistical analysis, and machine learning techniques.
data-science escom matplotlib numpy pandas python python-algorithms python-library
Last synced: 04 May 2026
https://github.com/svetlanam/data-scripts
Simple scripts for data cleaning, etl transformations and data reorganisations
data-cleaning data-transformation dimensions etl facts keboola numpy pandas python3 snowflake sql star-schema
Last synced: 04 May 2026
https://github.com/cchandre/ocdm
Optical Centrifuge for Diatomic Molecules
amo hamiltonian matplotlib molecular-mechanics numpy python3 scipy symplectic-integrators sympy
Last synced: 04 May 2026
https://github.com/md-emon-hasan/learnpython.org
A repository Python programming language, covering fundamental concepts, advanced topics, and practical applications for beginners.
exception-handling function generator lambda-functions numpy numpy-library python reduce
Last synced: 04 May 2026
https://github.com/flazefy2/ds-global_cybersecurity_threats
https://www.kaggle.com/datasets/atharvasoundankar/global-cybersecurity-threats-2015-2024
data-science data-visualization numpy python squarify statistics
Last synced: 05 May 2026
https://github.com/subh888999/-online-food-ordering-behavior-analysis-projects
This project analyzes online food ordering behavior to uncover key insights on customer preferences, restaurant performance, and factors influencing order volume. Through data-driven analysis, it aims to help optimize pricing, delivery times, and customer experience for food delivery platforms and restaurants.
matplotlib numpy pandas python seaborn statistics
Last synced: 05 May 2026
https://github.com/free-programmers/image_processing_python
image processing python
image-processing matplotlib numpy opencv opencv-python
Last synced: 05 May 2026
https://github.com/aryansk/geometric-transformation-visualizer
A comprehensive toolkit for visualizing various geometric transformations on both 2D shapes and images using Python. This project demonstrates fundamental geometric operations through interactive visualizations.
computer-vision matplotlib numpy opencv python
Last synced: 05 May 2026
https://github.com/myounus-codes/saleprice-prediction-dataset-analysis-and-cleaning-advance-regression
In this project I have cleaned the data for the model. Project Google Colab Link: https://colab.research.google.com/drive/1vQY-XEFJSdEkW2PQOSf1j13Yk8L-XXNw?usp=sharing
algorithms data-analysis data-science eda google-colab machine-learning numpy pandas python scikit-learn scikit-learn-python
Last synced: 05 May 2026
https://github.com/jsdhami/data-science-with-python
Data Science With Python->Target: AI/ML
ai articicial-inteligence deep-learning deep-neural-networks mathematics-machine-learning matplotlib ml numpy pandas python pytourch statistics tensorflow
Last synced: 05 May 2026
https://github.com/ujstor/streamlit-working-hours
The analysis pipeline involves combining the data forms, performing data cleaning, and starning streamlit server for statistical analysis.
data-pipeline numpy pandas statistics streamlit
Last synced: 06 May 2026
https://github.com/khaymanii/house-price-prediction-model
This model was built using Python and XGBoost Regression algorithm
matplotlib numpy pandas python scikit-learn
Last synced: 06 May 2026
https://github.com/khaymanii/customer_segmentation_model
This model was built using Python and KMeans Clustering algorithm
matplotlib numpy pandas python sckit-learn seaborn
Last synced: 06 May 2026
https://github.com/soumya-kushwaha/data-science-and-ml
data-science matplotlib numpy pandas python-libraries seaborn
Last synced: 06 May 2026
https://github.com/armahdavi/unsupervised-clustering-ml---pm_source_detection-indoor-air
Indoor PM2.5 source detection algorithm using unsupervised clustering ML method (k-means clustering)
climate-data dbscan dbscan-clustering jupyter-notebook kmeans kmeans-clustering matplotlib-pyplot numpy pandas pca python signal-processing spyder-python-ide tsne
Last synced: 06 May 2026
https://github.com/abhishek010397/logisticregression
Using Logistic Regression Classifier to Predict Target Using Three Features
csv iloc logistic-regression machine-learning numpy pandas-dataframe python3 sigmoid-function sklearn
Last synced: 06 May 2026
https://github.com/thevarunsharma/similar-word-finder
A web application with Python backend which finds words similar to a given word, using pre-trained GloVe word embeddings.
flask-application machine-learning nlp numpy python word-embeddings
Last synced: 07 May 2026
https://github.com/affromero/pixelcache
A versatile image processing library for Python with built-in support for caching, using Pillow, NumPy, and PyTorch.
image-processing numpy opencv pillow pytorch torchvision
Last synced: 07 May 2026
https://github.com/gehad-ahmed30/data-analysis
This repository offers a guide to data visualization with Pandas and includes practical examples and two complete projects. Learn to preprocess, analyze, and visualize datasets to solve real-world problems effectively.
analysis matplotlib numpy pandas python seaborn
Last synced: 07 May 2026
https://github.com/asut00/machine-learning-program_42ai
Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.
linear-regression machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 07 May 2026
https://github.com/duartegalvao/smart-bottle
Project for the ID2012 course on KTH.
django django-rest-framework internet-of-things jupyter jupyter-notebook numpy python python3 ubiquitous-computing
Last synced: 07 May 2026
https://github.com/ayaanjawaid/brain_stroke_prediction
project aims to predict the likelihood of a stroke based on various health parameters using machine learning models. The dataset is preprocessed, analyzed, and multiple models are trained to achieve the best prediction accuracy.
decision-trees exploratory-data-analysis matplotlib numpy pandas python regression xgboost
Last synced: 07 May 2026
