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: 2026-06-26 00:18:09 UTC
- JSON Representation
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/muhammad-fiaz/gpt
A simple implementation based on the "Attention is All You Need" paper, using GPT-2 for text generation.
attention-is-all-you-need gpt gpt-2 gpt-3 gpt-implementation gpt-using-pytorch gpt2 numpy open-source paper-implementations python pytorch pytorch-implementation
Last synced: 13 Apr 2026
https://github.com/apoorva-info/eye-blink-detetction
Blink Detector Sensitive to Facial Orientation
mediapipe numpy opencv python3
Last synced: 28 Apr 2026
https://github.com/harmanveer2546/movie-industry
Investigate the film industry to gain sufficient understanding of what attributes to success and in turn utilize this analysis to create actionable recommendations for companies to enter the industry.
business business-analytics dataanalysis datetime matplotlib numpy pandas python seaborn
Last synced: 11 Apr 2026
https://github.com/smusab9152/pokemon_data_analysis
This repo that explores and analyzes a dataset of Pokémon attributes. The analysis includes data cleaning, exploratory data analysis (EDA), and visualizations .
analytics data-analysis data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas pokemon python seaborn statistical-analysis
Last synced: 02 May 2026
https://github.com/fayzi-dev/machin_learning
Machin Learning Full Algorithm (Linear Regression, Decision tree, Random forest, Neural network ,Logistic regression ,Support vector machine ,Naive Bayes ,Clustering, XGBoost,DBscan,KMeans)
algorithms artificial-neural-networks logistic-regression machine-learning matplotlib matplotlib-pyplot naive-bayes-classifier numpy pandas python python3 seaborn seaborn-plots sklearn sklearn-knn sklearn-library sklearn-linear-model sklearn-linear-regression sklearn-metrics sklearn-svm
Last synced: 09 Apr 2025
https://github.com/listiangr/play_tennis_classification
This project analyzes weather data to predict whether a person will play tennis or not. The main goal is to make accurate predictions based on factors such as weather, temperature, humidity, and wind.
classification flask html-css jupyter-notebook kaggle-dataset naive-bayes numpy pandas pickle play-tennis python sklearn
Last synced: 11 Apr 2026
https://github.com/Shriram-Vibhute/RealEstateForecast-Price-Prediction-System
This project aims to predict Prices of House. It involves several key stages, including data preprocessing, feature engineering, model selection, and evaluation. The goal is to develop a model that provides accurate and reliable price predictions based on the given features.
exploratory-data-analysis feature-engineering feature-transformation hyperparameter-tuning machine-learning matplotlib numpy pandas python random-forest sklearn
Last synced: 02 Apr 2025
https://github.com/achalesh27022003/python-assignments-iwt
This repository is objected to have all the assignments and project related to IWT (Semester - 3).
cosinewave frame grid image imagetk labels matplotlib-pyplot numpy numpy-arrays numpy-library photoimage pil python3 sinewave spyder tkinter tkinter-gui window
Last synced: 10 Apr 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/daniel207pzd/google-advanced-data-analytics-capstone-project-salifort-motors
data-analysis-python data-analytics exploratory-data-analysis google-advanced-data-analytics google-advanced-data-analytics-capstone jupyter-notebook matplotlib numpy pandas python random-forest scikit-learn scikitlearn-machine-learning seaborn xgboost
Last synced: 11 Apr 2026
https://github.com/ryantusi/ai_ml_fundamentals
Welcome to my GitHub repository showcasing projects completed during the AI/ML Foundation course from Codecademy. This repository contains a collection of projects that demonstrate my skills and knowledge in the field of artificial intelligence and machine learning.
artificial-intelligence data-science data-visualization exploratory-data-analysis foundation machine-learning numpy pandas python
Last synced: 14 Apr 2026
https://github.com/qua77i20/ai2
A simple single-layer neural network (perceptron) built in Python. Demonstrates backpropagation training from scratch for beginners.
ai backpropagation data-science deep-learning machine-learning neural-network numpy perceptron python
Last synced: 15 May 2026
https://github.com/mohd-tahzeeb-khan/reverse_dcf-calculator-and-vistualization
This Dashboard is Developed by me. I had Applied for Internship in which i had to develop this Dashboard to showcase my skill and talent.
beautifulsoup bs4 dash dashboard dataframes flask numpy pandas plotly plotly-dash plotly-express python requests shares stock-market
Last synced: 14 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/skywalkerSam/ML-101
Getting started with AI & ML!
ai-ml jupyter-notebooks matplotlib ml ml-framework numpy pandas python3 scikit-learn tensorflow
Last synced: 23 Apr 2025
https://github.com/parmeetbhamrah/air-quality-india-analysis
Exploratory data analysis of real-time air quality data from Indian cities using Python, Pandas, Matplotlib, and Seaborn.
air-quality data-analysis eda exploratory-data-analysis government-data india matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/vineet416/eda-travel
EDA Travel data by PW Skills Data Analytics Course.
data-encoding data-preparation data-preprocessing data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas plotly python sklearn-library train-test-split train-test-using-sklearn
Last synced: 14 Apr 2026
https://github.com/shivendrra/Seeker
This project will help to write new scripts for YouTube videos from scratch using fine-tuned Llama-7B
ai artificial-intelligence finetuning google-custom-search-api google-custom-search-engine llama2 llm numpy pandas python pytorch react-native reactjs transformers youtube-api
Last synced: 30 Dec 2025
https://github.com/nikita620/phishing-website-detection-by-machine-learning-techniques
Phishing is one of the familiar attacks that trick users to access malicious content and gain their information. In terms of website interface and uniform resource locator (URL), most phishing webpages look identical to the actual webpages. Various strategies for detecting phishing websites, such as blacklist, heuristic, Etc.
bagging boosting decision-trees numpy pandas python random-forest sckiit-learn sql
Last synced: 10 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/fsubject/rotating-cube
Rotating Cube is a 3D engine made from scratch
3d 3d-engine 3d-graphics from-scratch numpy pygame python
Last synced: 31 Jan 2026
https://github.com/upul/indi
Small Machine Learning library written in Python
algorithms machine-learning numpy python scipy
Last synced: 10 Apr 2026
https://github.com/moindalvs/simple_linear_regression_1
Predicting Delivery Time Using Sorting Time
aic bic data-transformation f-statistics likelihood log-transformation matplotlib numpy ols-regression ordinary-least-squares pandas-dataframe pandas-library prediction predictive-modeling residuals rmse-score simple-linear-regression sklearn sklearn-library
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https://github.com/kwanit1142/sars-cov-2-detection-radiology-based-multi-modal-multi-task-framework
Keras-based Implementation for "SARS-CoV-2 Detection: Radiology based Multi-modal Multi-task Framework" (Accepted in 45th IEEE EMBC 2k23)
gans keras matplotlib numpy opencv os pandas pillow scipy sklearn tensorflow transfer-learning wasserstein-distance
Last synced: 14 Apr 2026
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/htlinh0604/invoice-data-extraction
This project demonstrates a classic OCR pipeline. This Flask app takes an image, applies an OpenCV preprocessing pipeline, and uses Tesseract OCR to digitize Vietnamese invoices (Bách Hóa Xanh)..
flask numpy ocr-recognition opencv pandas python regex tesseract-ocr
Last synced: 10 Nov 2025
https://github.com/justsecret123/one-piece-characters-detector
An object detector trained with a Kaggle GPU, using Tensorflow and a fine-tuned ssd resnet50.
artificial-intelligence computer-vision convolutional-neural-networks deep-learning deep-neural-networks docker fine-tuning jupyter kaggle kaggle-dataset matplotlib numpy object-detection python single-shot-detector tensorflow tensorflow-object-detection tensorflow-serving transfer-learning
Last synced: 11 Apr 2026
https://github.com/hokagem/byakuganvisualizer
The ByakuganVisualizer repository hosts a Python tool designed to compare images and highlight their differences. It simplifies the process of identifying disparities between images, making it ideal for tasks like testing and quality assurance. Moreover, it offers a color filter that can be used to correct images for color-blind users.
color-blind color-correction colorblind image-manipulation numpy pillow
Last synced: 21 Jan 2026
https://github.com/aminkhavari78/geoai-challenge-estimating-soil-parameters-from-hyperspectral-images-
Can you predict soil parameters from hyperspectral earth observation data?
dee keras matplotlib neural-network numpy pandas seaborn
Last synced: 13 Apr 2026
https://github.com/michaelradu/computational-physics
A collection of Jupyter notebooks demonstrating the use of Python to solve classical and modern physics problems through computational modeling.
computational-model computational-modeling computational-physics education educational jupyter jupyter-notebook latex matplotlib notebook notebooks numerical-analysis numerical-methods numpy physics physics-analysis physics-simulation python scikit-learn
Last synced: 07 Apr 2025
https://github.com/fatma-moanes/deep-learning-labs
My implementation for the labs of the Neural Networks and Deep Learning course that I studied at my university, Zewail City.
classification cnn data-science deep-learning gan keras matplotlib neural-network-architectures neural-networks numpy pandas preprocessing python regression-models regularization seaborn tensorflow time-series-analysis
Last synced: 14 Apr 2026
https://github.com/epsoft/traffic
traffic
cv2 numpy os sklearn sys tensorflow traffic
Last synced: 11 Apr 2026
https://github.com/rixiiz/knn-model-to-predict-the-obp-of-mlb-players
A machine learning model I built that can predict the On Base Percentage (OBP) of Major League Baseball (MLB) players at the end of the season
artificial-intelligence dataset f1-score jupyter-notebook knn-regression machine-learning matplotlib mse numpy pandas python scikit-learn supervised-learning
Last synced: 01 Jul 2025
https://github.com/mgobeaalcoba/matplotlib_y_seaborn
Aquí dejaré trabajos de visualización realizados con ambas librerías de Python.
data-analysis data-science data-visualization dataset matplotlib numpy pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/datarohit/fifa-2020--data-analysis
This is dataset is from Kaggle.com which contains data of 18000+ fifa players with more than 100 features about them for analysis. Simple analysis performed on this Dataset.
exploratory-data-analysis exploratory-data-visualizations matplotlib-pyplot numpy pandas seaborn
Last synced: 10 Apr 2026
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/ashar97/financial-engineering
Financial Engineering Practicum Assignments
financial-engineering matlab numpy pandas python r yahoo-finance
Last synced: 11 Apr 2026
https://github.com/yessasvini23/deepfake_immunization_toolkit
🛡️ AI-powered toolkit to detect deepfakes, educate users, and verify content authenticity using federated learning and blockchain. Built for election security, media integrity, and digital literacy.
blockchain matplotlib numpy opencv python pytorch scikit-learn
Last synced: 11 Apr 2026
https://github.com/nirmalyabag20/diabetes-prediction-using-machine-learning
This project focuses on predicting diabetes using machine learning algorithms based on health metrics like glucose levels, blood pressure, and BMI. By comparing different models, the goal is to identify the most accurate approach for early diabetes detection, showcasing the potential of machine learning in healthcare.
decision-tree-classifier jupyter-notebook kneighborsclassifier logistic-regression matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn svc
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https://github.com/amirhnajafiz-university/s7dc01
Final project of Data Communications course
data-communication matplotlib modulation numpy python scipy signal signal-processing
Last synced: 11 Apr 2026
https://github.com/babak2/synthea-data-analysis
Synthea Data Analysis
data-analysis data-visualization jupyter-notebook jupytext matplotlib numpy pandas python3 seaborn synthea
Last synced: 11 Apr 2026
https://github.com/zion-dev1/e-commerce-analysis
Short machine learning project which analyses customer behaviour 🔎
analysis clustering ecommerce machine-learning numpy pandas sklearn
Last synced: 05 Jul 2025
https://github.com/aahad91/idv
Interactive Data Visualization - Master Course
matplotlib numpy pandas plotly python3
Last synced: 08 May 2026
https://github.com/harmanveer-2546/supply-chain
Supply chain analytics is a valuable part of data-driven decision-making in various industries such as manufacturing, retail, healthcare, and logistics. It is the process of collecting, analyzing and interpreting data related to the movement of products and services from suppliers to customers.
customer-segmentation-analysis data data-analysis data-cleaning data-insights ggplot2 numpy pandas performance-evaluation predictive-analytics-for-business python risk-assessment sales-analysis statistical-analysis supply-chain tidyverse trend-analysis
Last synced: 10 Apr 2026
https://github.com/kunalshelke90/predict-bank-credit-risk-using-south-german-credit-data
This is an end-to-end ML project, which aims at developing a classification model for the problem of classifying a given customer profile into either of the risk category (safe or not safe). The final classifier used for this project is CatBoost classifier. Deployed in AWS.
aws cassandra catboost-classifier classification credit-risk data data-science dataanalysis dockerfile finance financial-analysis flask github-actions logging machine-learning mlflow numpy pandas python
Last synced: 03 Jan 2026
https://github.com/shreeparab1890/flipkart-laptops-analysis-eda
This ipython notebook is the Exploratory data analysis (EDA) of the Laptops listed on Flipkart.
data-analysis eda exploratory-data-analysis matplotlib-pyplot numpy pandas plotly
Last synced: 14 Apr 2026
https://github.com/bursasha/deeplearningai-machine-learning-tensorflow-course
Projects and certificates from a machine learning course focused on TensorFlow and Keras, covering neural networks, CNNs, NLP, and time series analysis 🧠
convolutional-neural-networks deeplearning-ai keras machine-learning mlcourse natural-language-processing neural-networks numpy pandas python-machine-learning recurrent-neural-networks tensorflow
Last synced: 10 Apr 2026
https://github.com/rixiiz/using-knn-to-predict-the-obp-of-mlb-players
Using KNN to predict the On Base Percentage (OBP) of Major League Baseball (MLB) players at the end of the season
artificial-intelligence dataset f1-score jupyter-notebook knn-regression machine-learning matplotlib mse numpy pandas python scikit-learn supervised-learning
Last synced: 05 Apr 2026
https://github.com/ryannapp12/quant_trading_engine
A modular, and scalable quantitative trading engine built in Python. This project demonstrates efficient data caching with SQLite, concurrent backtesting, and advanced risk analytics, showcasing best practices in clean code architecture and performance optimization.
algorithmic-trading backtesting dash data-analysis data-visualization fintech lstm machine-learning numpy pandas plotly python quantitative-finance real-time risk-management sqlite technical-analysis tensorflow time-series-analysis trading-strategies
Last synced: 11 Apr 2026
https://github.com/Tritonix711/FractureAI
This tool helps people upload X-rays to find broken bones. It uses a machine to mark where the breaks are and gives users marked pictures to download. A smart computer also helps people understand their broken bones and gives them advice.
css cv2 flask gorq html javascript matplotlib npm numpy pandas pydantic python react scikit-learn torch torchvision ultralytics
Last synced: 19 Aug 2025
https://github.com/nirmalyabag20/loan-status-prediction-using-machine-learning
This project focuses on predicting the loan status (approved or not approved) based on various applicant details. The goal is to develop a machine learning model that accurately classifies whether a loan should be approved, helping financial institutions make informed lending decisions.
matplotlib numpy pandas python scikit-learn seaborn support-vector-machine
Last synced: 19 Jan 2026
https://github.com/tom474/rice_plant_disease_classification
[RMIT 2025A] COSC2753 - Machine Learning - Group Assignment
classification machine-learning matplotlib numpy pandas python scikit-learn seaborn tensorflow
Last synced: 11 Jun 2025
https://github.com/nomadsdev/financial-trend-analyzer
FinancialTrendAnalyzer helps analyze and visualize sales data to uncover financial trends. It uses Python to calculate total sales, track changes, and generate insightful charts for better decision-making.
business-intelligence data-analysis data-visualization financial-analysis matplotlib numpy pandas python revenue-trends sales-data seaborn time-series-analysis
Last synced: 19 Jan 2026
https://github.com/hamdaniqhmqd/project-predict-saham-bbri
Repository Project-Predict-Saham-BBRI is a group assignment project that uses Streamlit, scikit-learn, and related technologies to build a BBRI stock price prediction application based on day, week, and month input.
data-visualization numpy pandas python sklearn streamlit
Last synced: 11 Apr 2026
https://github.com/gauranshgoel123/predictive-demand-analysis
Demand Forecasting Project A web application for predicting future demand for part numbers based on historical data. Built with React for the frontend and FastAPI with Python for the backend, this application visualizes demand trends and allows users to input additional data for improved accuracy. In render analyzer is frontend analysis is backend
chartjs data-analysis data-science data-visualization dataset deployment full-stack machine-learning numpy pandas predictive-analysis prophet-model python reactjs render
Last synced: 13 Apr 2026
https://github.com/gaurangdave/house_price_predictions
Machine Learning Application to predict House Prices
hands-on learning-by-doing machine-learning numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/vidhi1290/hr_employee_prediction
"Welcome to the HR Employee Promotion Prediction project! This repository contains the code and resources for a machine learning project that focuses on predicting employee promotions. By analyzing various employee attributes, this project aims to provide valuable insights for HR decision-making and talent recognition within organizations.
data-exploration data-science data-visualization docker hr-employee-prediction hyperparameter-tuning machine-learning matplot model-building numpy pandas scikit-learn seaborn streamlit streamlit-webapp
Last synced: 13 Apr 2026
https://github.com/omerkel/fractals
Rendering Fractals like Hilbert curves, Julia sets and Mandelbrot sets in various techniques.
fractals glsl-shaders hilbert-curve julia-sets jupyter-notebook mandelbrot-sets matplotlib numpy webgl-shader
Last synced: 13 May 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/harmanveer2546/credit-card-fraud-detection
The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.
ann catboost eda lightgbm machine-learning matplotlib neural-network numpy pandas python random-forest seaborn xgboost
Last synced: 11 Apr 2026
https://github.com/singhmnprt01/Custom-Deep-Neural-Network-Package
A custom deep neural network package that gives the liberty to design your deep neural network using only NumPy
customized-deep-neural-network deep-learning-framework maths-behind-neural-network numpy
Last synced: 09 Jul 2025
https://github.com/balaji24092001/python
All python related content: notes, problems, progress archive.
matplotlib numpy opencv pandas python3 scipy-stats seaborn sklearn sqllite
Last synced: 12 Apr 2026
https://github.com/aymen016/emotion-recognition-using-face-detection
A deep learning-based project that detects human faces and predicts their emotions in real-time using OpenCV and a trained neural network model.
gpu-acceleration haar-cascade-classifier keras-tensorflow matplotlib numpy opencv python
Last synced: 13 Apr 2026
https://github.com/huangcongqing/python-libraries
python库(numpy,pandas...)学习
matplotlib numpy pandas python3 xgboost
Last synced: 09 Mar 2026
https://github.com/aryansk/fake-news-detection
A sophisticated machine learning solution to detect fake news using multiple classification algorithms. Identify the credibility of news articles with advanced text analysis techniques!
fake-news-detection machine-learning machine-learning-algorithms matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/yogeshnile/flight-delay-prediction
In this repo i developed predict a flight delay using machine learning.
flight-delay-prediction jupyter-notebook machine-learning numpy pandas python3 seaborn sklearn
Last synced: 13 Feb 2026
https://github.com/moeeinaali/ce282-la
Solutions to Dr. Rabiee's CE282: Linear Algebra Course (Sharif University of Technology - Spring 2024)
linear-algebra matplotlib numpy pandas python
Last synced: 13 Apr 2026
https://github.com/serhatderya/tabular-playground-series
This repository contains solutions of monthly Tabular Playground Series in Kaggle.
ai artificial-intelligence data data-preprocessing data-processing data-science data-visualization jupyter-notebook kaggle machine-learning numpy pandas python regression scikit-learn scikitlearn-machine-learning seaborn software statsmodels
Last synced: 11 Apr 2026
https://github.com/the-developer-306/house-price-predictor
House Price Predictor: Harnessing machine learning algorithms to forecast housing prices in Boston, empowering buyers and sellers with accurate predictions based on key factors like location, crime rate, rooms, accessibility, and more.
csv ipynb-jupyter-notebook joblib matplotlib numpy pandas python scikit-learn
Last synced: 23 Feb 2026
https://github.com/zolabar/interactive-calculus
Interactive Calculus with SymPy and Jupyter Widgets
ipywidgets jupyter-notebook numpy plotly python sympy voila-dashboard
Last synced: 15 Apr 2026
https://github.com/urme-b/multimodal-multisensor
Longitudinal neurophysiological study of adult psychometric testing.
keras matplotlib numpy pandas python pytorch scikit-learn seaborn tensorflow
Last synced: 13 Apr 2026
https://github.com/bobzheng00/medscan-mentor
MediScan Mentor is an innovative application designed to assist medical students in interpreting CT scans.
artificial-intelligence brain-diseases colab-notebook ct-scans deep-learning education machine-learning medical-ai-project medical-imaging mongodb numpy object-detection openai pandas pubmed python pytorch rag streamlit yolov5
Last synced: 17 Jul 2025
https://github.com/faizantkhan/regression-project-bangalore-property-price-prediction
🏠 Bangalore Property Price Prediction is a comprehensive project designed to accurately predict property prices in Bangalore. Leveraging advanced regression techniques and a dataset sourced from Kaggle, the model undergoes meticulous feature engineering, data cleaning, and parameter tuning to ensure high accuracy.
backend-api css data-cleaning data-science data-visualization eda flask html javascript machine-learning-algorithms numpy pandas project project-repository property python regression-models server
Last synced: 14 Apr 2026
https://github.com/nguyenanhtuan1912/computer_vision_exercises
Trong này sẽ chứa các file source về bài tập Computer Vision.
computer-vision numpy opencv python
Last synced: 12 Apr 2026
https://github.com/alisonmitchell/boston-housing
Investigation of the Boston housing dataset to evaluate, train and test a regression model to predict house prices.
data-science machine-learning matplotlib numpy pandas python scikit-learn scipy seaborn
Last synced: 10 Apr 2026
https://github.com/guptaachin/titanic-data-analysis
This is analysis and modelling of the famous Titanic Data Set from Kaggle.
dataanalytics datamining datascience machinelearning numpy pandas python scikit-learn structuredpyramidanalysisplan tableau tableau-desktop
Last synced: 13 Apr 2026
https://github.com/geson-anko/numpy_ndarray_msgs
A ROS2 package for transmitting NumPy ndarrays between ROS2 nodes.
Last synced: 23 Feb 2026
https://github.com/epsoft/text-generation-stopword
text generation stopword
datasets generation nltk nltk-library nltk-python numpy re stopword text wordnet wordnet-library
Last synced: 15 May 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/alexandrbig1/py-design-analysis-algo
Advanced Python project on the design and analysis of algorithms. Includes practical modules on dynamic programming, graph theory, big data (Bloom filter, HyperLogLog), parallel computing (MapReduce), and optimization. Uses libraries like NumPy, Matplotlib, NetworkX, BTrees, PrettyTable, and Datasketch for efficient computation and visualization.
algorithms asyncio git heapq matplotlib numpy python python3 turtle
Last synced: 09 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/mrtaz77/numerical-analysis
Hub of numerical methods, implemented using python and its data analysis libraries like numpy and matplotlib.
interpolation matplotlib-pyplot newton-raphson numpy regression
Last synced: 19 Jun 2026
https://github.com/socrats/tscluster
Clustering time-series
clustering cython numpy python series time-series
Last synced: 19 Apr 2026
https://github.com/dulajkavinda/live-sketching
✍️ Converting live video stream from webcam into a sketch using OpenVC and Keras
added image-filtering keras machinelearning matplotlib numpy opencv python
Last synced: 10 Apr 2026
https://github.com/nafisfaysal/minwater_reviews
anaconda bootstrap3 django machine-learning numpy panda python3 sklearn
Last synced: 10 Apr 2026
https://github.com/mothnik/robust_fourier
Noise- and Outlier-Robust Fourier Transform with Hermite Functions with NumPy and Numba
chebyshev-polynomials fourier-transform hermite-functions hermite-polynomials least-square-regression logsumexp numba numpy python robust-statistics
Last synced: 04 Jan 2026
https://github.com/l-johnston/microohm
SI unit system in Numpy as native dtype
Last synced: 24 Feb 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/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/mousazourob/stockdataresampler
Python script that resamples an instruments minute by minute candle stick data to any interval
alpha-vantage-api numpy pandas python
Last synced: 07 May 2026
https://github.com/andrehaguiar/pos-graduacao-inteligecia_artificial-ciencia_de_dados
Cronograma do curso
ciencia-de-dados dados matplotlib-pyplot numpy orange pandas python scipy sklearn
Last synced: 11 Apr 2026
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