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/vishal-verma-96/Honey_Production_Analysis_using_Python
In this project, I analyzed U.S. honey production from 1998 to 2021 across different U.S. cities, explored yields, and examined production values using Matplotlib and Seaborn visualizations.
matplotlib numpy pandas python-3 python-visualization seaborn
Last synced: 19 Apr 2025
https://github.com/unvercan/activation-function-comparison-pytorch
Comparison of common activation functions on MNIST dataset using PyTorch.
activation-functions dataset deep-learning image-classification machine-learning matplotlib mnist neural-network numpy python pytorch relu sigmoid tanh
Last synced: 13 Jun 2025
https://github.com/rezapace/number-generator
Proyek ini adalah sebuah program yang digunakan untuk menghasilkan deretan angka dengan langkah tertentu dan menambahkan teks setelah setiap angka. Program ini mendukung berbagai metode untuk menghasilkan angka, termasuk penggunaan CuPy untuk memanfaatkan GPU, serta penggunaan threading untuk meningkatkan kinerja.
colab cupy custom generator jupiter kumal link number numpy pyhon webkumal webkumal-projek
Last synced: 11 Apr 2026
https://github.com/aleandropresta/data-science-projects
A collection of my Data Science projects
data-mining data-science data-visualization matplotlib numpy pandas python seaborn
Last synced: 26 May 2026
https://github.com/raffaeleterribile/bike-sharing
jupyter-notebook machine-learning numpy pandas pytorch udacity-nanodegree
Last synced: 29 Apr 2026
https://github.com/nikhilsree5/netflixcasestudy
Global Content Strategy: Leveraging Data Insights to Optimize Netflix's International Growth
eda numpy pandas python visualization
Last synced: 13 Apr 2026
https://github.com/prowilliam/maze_generator
A maze generator is created where you can modify its dimensions and shows a red route where it describes the solution of the maze, and it is exported in png format
Last synced: 28 Apr 2026
https://github.com/alex1iv/asr_ru_numbers
Automatic Speech Recognition (ASR) system for Russian digits
audio-processing librosa numpy speech-recognition tensorflow
Last synced: 13 Apr 2026
https://github.com/alepm1990/nba-analytics
Análisis y trabajos en Python con BBDD deportivas
matplotlib-pyplot numpy pandas pyhon python3 seaborn
Last synced: 05 May 2026
https://github.com/shlok-nahar/mnist-cnn-classifier
This repository trains and evaluates three CNN models on MNIST, providing performance comparisons and 5 unique visualizations.
confusion-matrix graph heatmap-visualization json machine matplotlib mnist numpy precision-recall python receiver-operating-characteristic seaborn sklearn tensorflow
Last synced: 13 Apr 2026
https://github.com/paulo-santos-ds/machinelearninglogisticregression
A fraude de cartão de crédito é uma forma comum de fraude que afeta milhões de pessoas em todo o mundo. Essa fraude pode ter consequências graves, tanto para as vítimas quanto para as instituições financeiras que emitem os cartões de crédito.
math matplot numpy pandas python3 sklearn
Last synced: 13 Apr 2026
https://github.com/Verozavr/taxi-data-analytics-project
Data analytics and visualization projects in Python
challenge data-analitics data-analysis-python data-analytics data-science data-science-projects data-visualization matplotlib numpy pandas project projects python seaborn taxi-data training-project
Last synced: 31 Dec 2025
https://github.com/suresh-28/weather-forecasting-using-machine-learning
Weather Forecasting using machine Learning in python
csv-files jupyter-notebook machine-learning ml numpy pandas-dataframe prediction python
Last synced: 13 Apr 2026
https://github.com/yuu-eguci/cognitive-services-trial
Try to play with Cognitive Services!! [Cognitive Services] [OpenCV] [Numpy]
cognitive-services dotenv numpy opencv-python pipenv python python3
Last synced: 05 Jul 2025
https://github.com/ondiekelijah/shadowcoach-formtracker
A computer vision-based workout form tracking application that uses AI to monitor exercise form, count repetitions, and provide real-time feedback.
mediapipe-pose numpy opencv-python
Last synced: 09 Apr 2025
https://github.com/mayankmittal29/algovision-statistical_methods_in_ai
Implementation of various machine learning algorithms from scratch, including Linear Regression, K-Nearest Neighbors, Decision Trees, and K-Means clustering. Also done EDA on data, Implemented LSH, IVF, SLIC algorithms also with evaluation metrics
decision-tree-classifier eda gradient-descent image-segmentation ivf knn-classification linear-regression lsh-implementation matplotlib-pyplot numpy pandas python3 seaborn sgd-optimizer sklearn slic-superpixel-algorithm
Last synced: 11 Apr 2026
https://github.com/saifalibaig/covid-19-infection-rate-analysis-using-python
Analysis of Covid-19 Infection rate and the world happiness report to identify if there is any relationship between infection rate and happiness
data-analysis data-visualization jupyter-notebook numpy pandas python3 sns
Last synced: 18 Apr 2026
https://github.com/hari7261/playwithdata-python
This is one of the repository where I have put lot of data science and machine learning related questions on their solutions I hope you will find something better than some other platforms. Thank you Happy exploring
data-analysis data-science data-science-learning machienlearning matplotlib matplotlib-python ml numpy numpy-arrays numpy-library pandas pandas-dataframe pandas-library python python-script sklearn
Last synced: 13 Apr 2026
https://github.com/vishal815/python-based-flight-data-scraping-automating-data-collection-for-analysis
This project is a Python-based web scraping script designed to extract flight details from the Yatra travel website. The extracted data includes flight pricing, origin, destination, departure and arrival times, and duration. The data is then saved into a CSV file for further analysis.
beautifulsoup flight-data-analysis flight-data-visualization numpy pandas pyhton pyplot scraping scraping-python seaborn selenium vishal-lazrus vishallazrus webscraping webscraping-projects
Last synced: 18 Apr 2026
https://github.com/kecnry/nparray
High-Level Wrappers for Building and Manipulating Numpy Arrays
Last synced: 08 Jan 2026
https://github.com/animesh-chourey/loan-classifier
Trained machine learning algorithms (Logistic Regression, KNN, SVM, Decision Tree) specifically, after performing visualization and pre-preocessing tasks on a loan dataset. Executed the evaluation metrics such as F1-score, Log loss and jaccard-similarity score to assess the algorithms performance.
decision-tree f1-score jaccard-similarity knn logistic-regression logloss matplotlib numpy pandas preprocessing-data svm
Last synced: 06 May 2026
https://github.com/itshyphen/mass-mailing-script
A simple mass mailing script that sends personalized email to multiple emails importing from csv
Last synced: 13 Apr 2026
https://github.com/a-parida12/numericalmethods
Teaching Material for Workshop for Engineering Students
Last synced: 13 Apr 2026
https://github.com/shahzaibdev355/house-recommendation-backend
House Recommendation Backend is a Flask-based API that provides house recommendations based on user input. It includes endpoints to check the backend's functionality, fetch state data, and get personalized house recommendations based on criteria like price, property size, number of beds, number of baths, and state.
flask flask-api flask-cors numpy pandas scikit-learn tensorflow
Last synced: 05 Jan 2026
https://github.com/tnleite/loan-approval-prediction
Este repositório apresenta um modelo preditivo de aprovação de empréstimos, focado em minimizar o risco de inadimplência. Utilizando EDA e algoritmos de machine learning (Random Forest, XGBoost), ajustamos o threshold para maximizar o recall de inadimplentes, contribuindo para uma gestão de riscos eficiente.
classification-algorithm data-science exploratory-data-analysis machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn scipy seaborn xgboost-classifier
Last synced: 13 Apr 2026
https://github.com/amir0234-afk/housing-price-prediction-dnn
Keras + NumPy baselines for housing price regression
Last synced: 13 Apr 2026
https://github.com/isabelacaldeira/projetnumerique
Let's talk physics through code!
jupyter-notebook matplotlib numpy physics python python3 university-project
Last synced: 13 Apr 2026
https://github.com/collins-kimotho/wrangle-and-analyze-project
Data Wrangling and Analysis Project: Analyzing WeRateDogs Twitter Account Data
explanatory-data-analysis exploratory-data-analysis matplotlib numpy pandas python twitter twitter-api
Last synced: 11 May 2026
https://github.com/kartmaan/prime-number-analysis
Analysis notebook on prime numbers
analysis conjecture fibonacci fibonacci-numbers fibonacci-sequence math mathematics matplotlib notebook number-theory numpy polyfit prime prime-number-algorithm prime-numbers trends
Last synced: 17 May 2026
https://github.com/v41bh4vr4jput/python---numpy
A collection of hands-on examples, exercises, and projects to master NumPy — the fundamental package for numerical computing in Python. This repository is perfect for beginners and advanced learners looking to explore array manipulation, mathematical operations, and high-performance data analysis.
Last synced: 20 Apr 2026
https://github.com/chandkund/wine-quality-prediction
This project predicts wine quality based on physicochemical properties using machine learning models. By leveraging Random Forest Classifier, Logistic Regression, and SVM, the goal is to classify wines into quality categories and uncover the key factors that influence wine quality.
logistic-regression matplotlib numpy pandas-python random-forest-classifier svm-classifier
Last synced: 01 May 2026
https://github.com/harmanveer-2546/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-classifier eda lightgbm machine-learning matplotlib neural-network numpy pandas python random-forest seaborn xbg
Last synced: 13 Apr 2026
https://github.com/chmohit91/introduction-to-python
A comprehensive collection of Python programming resources, from basics to advanced concepts. Built for learners, by learners
matplotlib numpy pandas plotly python python-library python3 seaborn
Last synced: 13 Apr 2026
https://github.com/n1k1f0rm/ml-predicts
Place where you can find in transparent way how ML algos works
machine-learning ml numpy python
Last synced: 21 Apr 2026
https://github.com/sulaimanniazi/image-histogram-generator
Python based image histogram generator and plotter
cv2 cv2-library histogram image image-processing numpy os pylab python python-script python3 random skimage
Last synced: 28 Apr 2026
https://github.com/anushkundu/student-performance-analysis
Exploring Student Performance Factors
classification-algorithm clustering-algorithm data-analysis data-science exploratory-data-analysis machine-learning matplotlib numpy pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/falakjatin/face-recognition
This is my final year project of engineering. It might not work because its not maintained.
haarcascade-frontalface numpy opencv pandas python3
Last synced: 13 Apr 2026
https://github.com/hanzdr/2d-3d-object-transformation
For my Linear Algebra Project Defense
matplotlib-python matrix numpy
Last synced: 19 Apr 2026
https://github.com/nitish2773/food-delivery-delay-analyzer
matplotlib-pyplot numpy pandas python3 scipy-stats seaborn
Last synced: 30 May 2026
https://github.com/ifte-13/early-stage-brain-stroke-detection
Predictive Analysis & Early Detection of Brain stroke using Machine Learning Algorithm
decision-tree imbalanced-learn knn matplotlib numpy pandas random-forest scikit-learn seaborn
Last synced: 06 Jul 2025
https://github.com/dmarks84/coursework_project_ml-classification
Project for IBM Data Science course on Machine Learning -- Trained ML models for classification, evaluating based on a variety of metrics
classification communication data-modeling dataframes numpy pandas python scikit-learn supervised-ml
Last synced: 11 Apr 2026
https://github.com/tigureis/aula_deployment
This project not only demonstrates a machine learning pipeline but also serves as a template for deploying models into production. By leveraging the project's structure and code, you can streamline the process of deploying your own machine learning models.
Last synced: 11 Apr 2026
https://github.com/shivamkumar818/mbti-personality-prediction-from-text-data
MBTI Personality Prediction from Text Data This project leverages machine learning to predict Myers-Briggs Type Indicator (MBTI) personality types based on textual data, specifically from social media posts.
confusion-matrix correlation-matrix data-visualization dataset knn-classification linear-regression logistic-regression modeltraining navebayes numpy pandas python
Last synced: 13 Apr 2026
https://github.com/towaquimbayo/comp-4948
BCIT Computer Systems Technology (CST) - COMP 4948 (Predictive Machine Learning)
feature-selection keras matplotlib numpy pandas predictive-analytics predictive-modeling python pytorch regression scikit-learn sklearn statsmodels tensorflow
Last synced: 13 Apr 2026
https://github.com/iv4n-ga6l/Simple-Image-Segmentation
Simple implementation of image segmentation using the Watershed algorithm
imagesegmentation matplotlib numpy opencv python watershed-algorithm
Last synced: 28 Apr 2025
https://github.com/iv4n-ga6l/Geometric-ShapesRecognizer-in-image
Geometric shapes recognizer API built in python
api-rest flask numpy opencv python shaperecognitionapi
Last synced: 28 Apr 2025
https://github.com/iv4n-ga6l/Crowd-move-simulation
Crowd move simulation in python
matplotlib numpy python simulation
Last synced: 28 Apr 2025
https://github.com/harmanveer-2546/finding-you-next-perfect-house
In this exploratory data analysis, we compare a dataset which consists of various features about renting of houses available on these renting platforms listed by owners of these houses, and try to derive some constructive conclusions by performing Descriptive statistics of the available features.
adaboostregressor decisiontreeregressor exploratory-data-analysis house-price-prediction inline linearregression matplotlib numpy onehotencoder pandas plotly python randomforestregressor renting seaborn standardscaler xgbregressor
Last synced: 13 Apr 2026
https://github.com/roaajadaa/car-price-prediction
Use different models to predict car prices using web scraping
beautifulsoup data-visualization loss-functions machine-learning machine-learning-algorithms numpy pandas pickel preprocessing python sklearn
Last synced: 13 Apr 2026
https://github.com/hajaarh/malaria_hematie_cnn
Algorithme de réseaux de neurones convolutionnels
numpy pandas python resnet-50 sklearn-library tensorflow vgg16
Last synced: 13 Apr 2026
https://github.com/saro0307/exploratory-data-analysis-terrorism
Phase 1 of Data Science project (program) to perform Exploratory Data Analysis on Terrorism using Python On Google Colab for Coderscave Internship sept 2023
colaboratory data-analysis datascience machine-learning numpy pandas python seaborn skit-learn visualization
Last synced: 13 Apr 2026
https://github.com/dummumounika/ecommerce-sales-categorization
This repository contains Python code for text classification and analysis of e-commerce sales data. The script processes textual descriptions of products and categorizes them into predefined categories using a Naive Bayes classifier. It also includes various analysis and visualization methods to explore the dataset.
machine-learning matplotlib-pyplot ntlk numpy pandas python scikit-learn
Last synced: 13 Apr 2026
https://github.com/eny2930/ai-ml-projects
A project demonstrating various libraries and tools in using algorithms in machine learning. This repository includes code samples, datasets, and detailed explanations.
iris-dataset keras linear-regression logistic-regression matplotlib numpy pandas pytorch sckiit-learn seaborn sentiment-analysis
Last synced: 13 Apr 2026
https://github.com/sorabh-kapoor/face-recognition-attendance-system
The Facial Recognition System is an AI-powered application USING FLASK designed to detect and recognize faces with high accuracy. This system can be integrated into various applications, including security systems, attendance management, and identity verification.
flask flask-application knn ml numpy opencv pandas python scikit-learn
Last synced: 13 Apr 2026
https://github.com/dmarks84/coursework_project_nlp-with-nltk
Project for University of Michigan Applied Data Science Specialization -- Utilized NLTK library to process natural language, and then built several spelling recommenders for a list of misspelled words.
data-modeling databases dataframes eda nlp numpy pandas python reporting statistics text-mining visualization
Last synced: 13 Apr 2026
https://github.com/doondigangadhar30/ghiblify-animeganv3
A creative tool that generates beautiful Ghibli-style artwork from your image input.
colab-notebook jupyter-notebook numpy onnxruntime opencv python
Last synced: 01 Jul 2025
https://github.com/lmtreser/intro-data-science
Trayecto de formación en Ciencias de Datos con Python y Pandas
data-science matplotlib numpy pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/nambukeerthi/copper_project
Data Analysis Skills – Work with real-world data. Machine Learning Experience – Build and train models. Web App Development – Create interactive dashboards
eda machine-learning numpy pandas python streamlit
Last synced: 13 Apr 2026
https://github.com/yesenvidnath/facerecognitionapplight
This is a face recognition application wich is capable of recognizing a person based on thire face and take attendence from it
face-recognition facent flask numpy python
Last synced: 13 Apr 2026
https://github.com/nickklos10/league-of-legends-match-predictor
Predicting League of Legends Match Outcomes Using Logistic Regression and PyTorch.
jupyter-notebook matplotlib numpy pandas pytorch scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/shwetapardhi/assignment-04-simple-linear-regression-2
Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.
correlation-analysis data-visualization distplot eda feature-engineering model-building model-predictions model-template numpy ols-regression p-value pandas python r-square-values regression-plot seaborn simple-linear-regression smf statsmodels t-score
Last synced: 08 May 2026
https://github.com/aadrianleo/book-recommendation-system
Book Recommender System using the Book-Crossing dataset. Compares content-based (TF-IDF + cosine similarity) and collaborative filtering (SVD) methods for book recommendations. Includes data cleaning, EDA, and model evaluation (Precision@5, RMSE) in Python.
artificial-intelligence collaborative-filtering content-based-filtering cosine-similarity data-preprocessing jupyter jupyter-notebook machine-learning matrix-factorization numpy pandas predictive-modeling python3 recommendation-system recommender-system scikit-learn sckit-surprise
Last synced: 10 Apr 2026
https://github.com/blacksujit/neural_network_using_numpy_and_math
Inspired from a repo . i have implemented an some ground level maths and logic . In this neural network no tensorflow , pytorch is used it is just prepared by using numpy and some logical math.
algorithmic-composition basics-of-python calculus criticalthinking innovation machine-learning maths neural-network neuralnetworkusingnumpy numpy purebasics
Last synced: 26 Aug 2025
https://github.com/saraasgari99/videoclassificationusingdeeplearning
ML pipeline for biological video analysis using cutting-edge CNN architectures and industry-standard data processing and ML techniques
computer-vision data-processing keras-tensorflow machine-learning numpy sklearn tensorflow
Last synced: 13 Apr 2026
https://github.com/udacity-machinelearning-internship/support-vector-machine
Implementing SVM's using pandas and sklearn in python
numpy pandas sklearn support-vector-machines svm
Last synced: 13 Apr 2026
https://github.com/olfabelhadj/etude-de-sante-publique-avec-python
OpenClassrooms parcours Data Analyst Projet 4
acp clustering matplotlib-pyplot numpy pandas plotly-express scipy seaborn sklearn
Last synced: 13 Apr 2026
https://github.com/rajan-bhateja/data-analysis-with-python
Cleaning, analysis and visualization on various datasets using Python and its various libraries via Jupyter Notebook
data-cleaning data-science jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/dane-meister/machine-learning-algos
Repository of several ML algorithms implemented for different environments and robot control vectors.
colab-notebook gymnasium jupyter-notebook machine-learning-algorithms numpy opencv pybullet python pytorch
Last synced: 11 Apr 2026
https://github.com/nishantksingh0/twitter-sentiment-analysis
A ML/DL based Twitter sentiment analysis model based on Transformer based pretrained Encoding on sentence
kaggle-dataset matplotlib-pyplot nlp numpy pandas sklearn tensorflow transformer
Last synced: 11 Apr 2026
https://github.com/sadia-khan13/data-preprocessing
Welcome to the Data preprocessing Repository! This repository is dedicated to showcase the comprehensive resources and implementations related to Data Preprocessing using Python and Jupyter Notebook.
artificial-intelligence data-analysis data-mining data-preprocessing data-science jupyter-notebook matplotlib numpy pandas python seaborn-python sklearn
Last synced: 11 Apr 2026
https://github.com/psycho-poodle/simple_rnn_imdb
This repository contains a simple web application for sentiment analysis of movie reviews using a pre-trained RNN model. The application is built with TensorFlow and Streamlit, making it easy to use and deploy.
numpy python streamlit tensorflow
Last synced: 11 Apr 2026
https://github.com/frauvate/cheatsheet
This project provides ready-to-use templates for machine learning base models. This repo, which contains templates of common models in Jupyter notebook format, aims to help users quickly implement these models and easily adapt them to their own projects.
machine-learning machinelearning matplotlib numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/aritrakar/ai-projects
🤖A centralized collection of links to my AI projects roughly divided by topic.
numpy pandas python pytorch tensorflow
Last synced: 13 Apr 2026
https://github.com/sadegh15khedry/housing-prices-prediction-using-randomforest
This repository contains an implementation of random forest model to predict housing prices using the Boston Housing dataset.
csv joblib jupyter-notebook matplotlib numpy pandas pil python random-forest seaborn sklearn
Last synced: 27 Feb 2025
https://github.com/sadegh15khedry/titanic-survival-prediction
Predicting Titanic survival using neural networks.
conda-environment jupyter-notebook kersa matplotlib numpy pandas python seaborn sklea supervised-learning tensorflow titanic-kaggle
Last synced: 27 Feb 2025
https://github.com/npodlozhniy/dl-tinkoff
This is a warehouse of my homeworks for master MIPT deep learning course from Tinkoff FinTech
Last synced: 08 May 2026
https://github.com/anuraganalog/navie-bayes
Implemented Gaussian Naive Bayes Classifier from scratch
bayes classifier dataset datasets gaussian guassian-naive-bayes iris multinomial-naive-bayes naive naive-bayes-classifiers numpy py scratch
Last synced: 19 Apr 2026
https://github.com/paulo-freitas-junior/ifood-dev-week2023
Repositório sobre a Dev Week iFood sobre uso de Python e Inteligência Artificial para realização de cálculo de NPS ( Net Promoter Score ) e a utilização de IA para análise de sentimentos dos comentários usando tecnologia do ChatGPT-4.
bert chatgpt colab-notebook matplotlib nltk numpy pandas python textblob-sentiment-analysis
Last synced: 13 Apr 2026
https://github.com/alphan26/breastcancerclassification
This project involves a binary classification problem where we applied PyTorch to detect breast cancer.
matplotlib numpy pandas python pytorch
Last synced: 11 Apr 2026
https://github.com/tanmay-312/pacman-game-python
"Embark on a nostalgic journey with my Python Pac-Man game! 🎮🕹️ Crafted using pygame, tcod, numpy, and enum libraries, it's a modern twist on a classic. Navigate the maze, chomp pellets, and evade ghosts in this retro-inspired adventure! 🚀👻 #PythonGameDev #PacManRevival #ClassicGaming"
enum game game-development gamedev numpy pygame pygame-games python python-3 python3 tcod
Last synced: 22 Apr 2026
https://github.com/mstrlc/iss-project
FIT VUT – ISS – signal processing - synthesizing and resynthesizing of a MIDI keyboard
fit iss matplotlib numpy python scipy signal-processing vut
Last synced: 11 Mar 2025
https://github.com/nicolascoiado/nivel-mar
Este projeto realiza uma análise detalhada do nível médio global do mar (GMSL), utilizando uma base de dados pública que abrange medições históricas. O objetivo é explorar tendências, calcular a taxa média de elevação e visualizar os dados por meio de gráficos.
google-colab jupyter-notebook matplotlib numpy pandas python python3 scikit-learn
Last synced: 11 Mar 2025
https://github.com/thinker84/real-time-stock-price-prediction-and-market-analysis-using-machine-learning
Real-time stock price prediction app using LSTM, Streamlit, and historical data (2010–2023). Forecasts next 10 days & visualizes trends.
data-science django lstm machine-learning numpy pandas pandas-datareader scikit-learn stock-market stock-price-prediction stooq streamlit yahoo-finance yahoo-finance-api
Last synced: 13 Jul 2025
https://github.com/yasharmaster/coursera-deep-learning
Deep Learning Specialization by Andrew Ng on Coursera.
coursera coursera-deep-learning deep-learning keras keras-tensorflow numpy python tensorflow
Last synced: 11 Apr 2026
https://github.com/jacekkala/statistics_hypothesis_testing
Statistics & Hypothesis Testing in Python
charts hypothesis-testing jupyter-notebook matplotlib numpy pandas python scipy-stats seaborn statistics
Last synced: 11 Feb 2026
https://github.com/ksalekk/mlp-nn
classification multilayer-perceptron neural-networks numpy python
Last synced: 24 Apr 2026
https://github.com/omarsaad21/shopping-cart-eda
An EDA python project focusing on getting the most out of a movies dataset (- 1- combine this data together - 2- check messing values - 3- show summary statistics - 4- deal with date time and extract features from dates - 5- answer at least three questions from this data)
eda jupyter-notebook numpy pandas plotly python
Last synced: 13 Apr 2026
https://github.com/rishabhmathur06/pytorch
This repository contains codes related to the PyTorch tutorial provided by Patrick Loeber
neural-network numpy pandas python pytorch sklearn
Last synced: 13 Apr 2026
https://github.com/mastermindromii/car-price-prediction-model
Here is My Regression Project based on Predicting Price of Car using Linear Regression.
linear-regression matplotlib numpy pandas python scikit-learn seaborn
Last synced: 13 Apr 2026
https://github.com/dmarks84/coursework_project_network-analysis-node-link-prediction
Project for University of Michigan Applied Data Science Specialization -- Analyzed network nodes and edges, developing custom features based on various scoring metrics; used features to train classifier model to predict node attribute (employee salary type) and future edges (employee connections)
classification cross-validation data-reporting databases eda grid-search matplotlib network-analysis numpy pandas python scikit-learn statistics supervised-ml visualization
Last synced: 13 Apr 2026
https://github.com/fabriziomusacchio/ann_with_numpy
A how-to for building an artificial neural network from scratch using NumPy
ann artificial-neural-networks neural-network numpy
Last synced: 08 May 2026
https://github.com/vishnu-vamshii/heart-disease-prediction-using-ml
This project presents an end-to-end data analysis and machine learning pipeline for predicting heart disease using a publicly available dataset. The project includes data exploration, visualization, and implementation of various machine learning models to predict the likelihood of heart disease based on a set of clinical attributes.
machine-learning matplotlib numpy pandas python seaborn sklearn
Last synced: 11 Apr 2026
https://github.com/singhvishal003/brain_stroke_prediction
Brain Stroke Prediction according to age and Health Condition.
matplotlib numpy pandas sklearn
Last synced: 13 Apr 2026
https://github.com/shreeparab1890/heart-attack-analysis-prediction-accuracy-85.24
This iPython Notebook implements the Analysis and Predictions for Heart Attack. The Analysis is done on the dataset to identify the key features which has a impact on Heart Attack. After the analysis and data cleaning, the dataset is used to train the model using different ML algorithm.
eda exploratory-data-analysis matplotlib numpy pandas plotly prediction python scikit sklearn
Last synced: 13 Apr 2026
https://github.com/rutujaingole/jailbreaking-deep-models
This repository contains the codebase for Jailbreaking Deep Models, which investigates the vulnerability of deep convolutional neural networks to adversarial attacks. The project systematically implements and analyzes Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), and localized patch-based attacks on the pretrained
adversarial-attacks deep-learning densenet121 fgsm-attack imagenet-classifier jailbreak machine-learning numpy patch-based-attack pgd-adversarial-attacks torch
Last synced: 14 May 2026
https://github.com/nyx1311/toxicity-detector-using-bilstm
🚀 What we built: An AI-powered Women’s Safety & Well-Being Detector — a web app that flags multiple forms of online abuse in real time and offers tools for emotional recovery. 📊 Under the hood: BiLSTM + Word2Vec embeddings for deep, context-aware detection Trained on 21K+ labeled comments across 7 toxicity categories Built with Python, Tensor
epoch genism gpu keras-tensorflow matplotlib model nlp nlp-machine-learning nlpaug-textual numpy pandas pandas-library python3 streamlit tensorflow word2vec
Last synced: 14 Apr 2026
https://github.com/hilalozdemirbuyukasik/deep-learning
A collection of deep learning projects demonstrating RNNs, BiLSTMs, CNNs, and basic neural networks applied to time series forecasting, text sentiment analysis, image classification, and tabular data tasks, with examples of data preprocessing, model training, evaluation, and visualization.
bilstm cnn keras matplotlib nn numpy rnn scikit-learn tensorflow
Last synced: 12 Apr 2026