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/llwusill/firepredictioncnn
CNN kullanarak Orman Yangını Tahmin/Tespit Sistemi
matplotlib numpy opencv-python pandas sckiit-learn seaborn tensorflow
Last synced: 12 Apr 2026
https://github.com/frolov-andrey2405/prime-numbers-and-polar-coordinate-system
Prime numbers and polar coordinate system
Last synced: 01 May 2026
https://github.com/dan-niles/neural-networks-from-scratch
A neural network implemented using only NumPy and Pandas for CS3631: Deep Neural Networks
Last synced: 05 May 2026
https://github.com/dahsie/machine_learning_from_scratch
This project aims to implement some machine learning basic techniques(e.g. MinMaxScaler, StandardScaler, TD-IDF, PCA, Logistic Regression, LDA, KNN, Naive Bayes Classifier) using only pyton, numpy and pandas. This will enable me to have hone my data scientist skills
classification clustering data data-processing datascience machienlearning nlp nltk numpy pandas python regression
Last synced: 04 May 2026
https://github.com/alainlebret/python-et-ia-2
Personal resources from my course "Python & IA"
artificial-intelligence deep-learning image-processing machine-learning matplotlib neural-network numpy python scikit-image scikit-learn
Last synced: 12 Apr 2026
https://github.com/nilusche/feed_forward_network_py
Implementation of a neural network in python which can predict handwritten numbers from the MNIST dataset.
colab-notebook feed-forward-neural-networks neural-network numpy python
Last synced: 01 May 2026
https://github.com/asuquoaa/cdc_2017_immunization_data_analysis
This project analyzes data from the CDC's 2017 National Immunization Survey Public Use File (NISPUF17) to answer research questions about immunization, child health, and vaccine-related behaviors.
Last synced: 12 Apr 2026
https://github.com/elifftosunn/data-labeling
Bu araç veri kazıma aşamasından sonra verilerin istenilen kategoriye göre etiketlenmesi ve kullanılmayacak olan verilerin database'ten silinmesi ile makine öğrenmesi modellerini kullanmak için etiketleme adımınını otomatikleştirmek amaçlı yapılmıştır.
base64 kaleido numpy os pandas plotly postgresql psycopg2 psycopg2-binary time
Last synced: 12 Apr 2026
https://github.com/manoj-kumar-c/data_analyst_projects
Live Data Analyst Projects.
Last synced: 07 Feb 2026
https://github.com/nambukeerthi/youtube_dataproject
Build a Streamlit App – A user-friendly interface. Use Google API – Fetch YouTube channel data. Store in SQL Database – Save channel details for easy access. Search & Join Tables – Allow users to query and view data
api numpy pandas python sql streamlit
Last synced: 09 Apr 2026
https://github.com/dylan-stewart/marvel-mysql-project
Project for Data Science
data-science iris-dataset marvel mysql network-x numpy pandas python
Last synced: 13 Apr 2026
https://github.com/djdhairya/electronic-search-engine
bytesio countervector nltk numpy pandas pickel pillow sklearn streamlit
Last synced: 13 Apr 2026
https://github.com/yosrak5/predictive_maintenance
End-To-End Predictive Analytics to predict Hardware Maintenance Before it occurs using data preprocessing and Machine Learning classification modeling (XGBOOST , Random Forest )
data-factory data-perspective machine-learning-workbench matplotlib numpy pandas python random-forest seaborn xgboost
Last synced: 25 Feb 2026
https://github.com/shwetapardhi/assignment-1-q11--basic-statistics-level-1
Q11) Suppose we want to estimate the average weight of an adult male in Mexico. We draw a random sample of 2,000 men from a population of 3,000,000 men and weigh them. We find that the average person in our sample weighs 200 pounds, and the standard deviation of the sample is 30 pounds. Calculate 94%,98%,96% confidence interval?
confidence-interval normalization numpy pandas python scipy stats
Last synced: 13 Apr 2026
https://github.com/murugavl/loan_approval_prediction
This project is a Loan Approval Prediction System that uses Machine Learning to determine whether a loan application should be approved or rejected based on various factors. It is deployed using Streamlit for an interactive user experience.
jupyter-notebook machine-learning numpy pandas python random-forest-classifier scikit-learn stremlit
Last synced: 13 Apr 2026
https://github.com/pedasoft-consult/house-price-prediction
This project is a machine learning-powered web application for predicting house prices based on various features such as area, bedrooms, bathrooms, and more. It uses Flask for the backend and HTML/CSS/JavaScript for the frontend.
flask joblib matplotlib numpy pandas r2 random-forest regression seaborn sklearn
Last synced: 13 Apr 2026
https://github.com/gustavo-venceslau/housing-price
A Machine Learning project to create a model to predict housing prices. The project is based on the example in chapter 2 of the book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélion Géron
conda machine-learning matplotlib numpy pandas python sklearn
Last synced: 13 Apr 2026
https://github.com/bachboy0/montecarlo
Python-based Monte Carlo simulations for statistical analysis and modeling.
monte-carlo-methods numpy python
Last synced: 21 Apr 2026
https://github.com/dineshdhamodharan24/industrial-copper-modeling
It seems like you have a project that involves modeling industrial copper data using Python and several libraries such as pandas, numpy, and scikit-learn. This is a common and practical approach, as these libraries are widely used for data manipulation, analysis, and machine learning tasks.
bussiness-solution numpy pandas pickle pickle-file seaborn sklearn-library streamlit
Last synced: 13 Apr 2026
https://github.com/jim-by/tweet-sentiment-analysis
Sentiment analysis of tweets using TextBlob for labeling and RandomForest for classification.
nltk nltk-tokenizer numpy pandas python random-forest-classifier sklearn textblob-sentiment-analysis
Last synced: 13 Apr 2026
https://github.com/nabilshadman/python-uk-weather-analytics
An end-to-end data science workflow of UK weather data
data-engineering data-science data-visualization machine-learning matplotlib numpy pandas scikit-learn
Last synced: 13 Apr 2026
https://github.com/ellennewerkla/apriori-analise_cesta_de_mercado
Análise de Cesta de Mercado (Market Basket Analysis) utilizando o algoritmo Apriori para identificar regras de associação entre produtos em um conjunto de transações de supermercado.
apriori-algorithm jupyternotebook marketbasketanalysis mathplotlib mba numpy pandas python3
Last synced: 13 Apr 2026
https://github.com/karanyeole/movie-rating-analysis
analyzing movie ratings from various sources to gain insights into audience preferences, trends, and patterns in movie ratings. The project utilizes data analysis and visualization techniques to explore and interpret movie rating data, providing valuable information for movie enthusiasts, filmmakers, and industry professionals.
matplotlib numpy pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/rkarahul/ok.win-big-small-predictor
Predict the next “Big” or “Small” outcome on the OK.Win lottery-style game using OCR + time-series features + ML.
joblib numpy opencv-python paddleocr paddlepaddle paddlepaddle-gpu pandas python sckit-learn
Last synced: 13 Apr 2026
https://github.com/preethiphilip/prosper-loan-data-analysis
This project explores the Prosper loan dataset to uncover trends, borrower behaviors, and factors influencing loan performance. Using Python and data visualization techniques, the analysis examines key variables such as credit scores, loan status, income ranges, and debt-to-income ratios to gain insights into credit risk and lending patterns.
jupyter-notebook matplotlib numpy pandas python3 seaborn
Last synced: 13 Apr 2026
https://github.com/sunilsm7/numpy-starter
IPython Notebook(s) demonstrating NumPy functionality.
Last synced: 13 Apr 2026
https://github.com/rajsinha7/hand-gesture-recognition
This project serves as a foundation for integrating hand gesture controls into interactive applications like games, presentations, or robotic controls. It features: Real-time hand tracking with MediaPipe Hands and Live visualization of hand landmarks and gesture labels
Last synced: 13 Apr 2026
https://github.com/ananyajain2004/fake-news-detection
A python project for detecting fake news using machine learning algorithms.
decision-tree-classifier gradient-boosting-classifier logistic-regression machine-learning numpy pandas python3 random-forest-classifier testing
Last synced: 13 Apr 2026
https://github.com/alinenog/desenvolve_gb_2022
Formação Desenvolve 2022 do Grupo Boticário na área de dados
data-analysis data-science googlesheet machine-learning numpy pandas python
Last synced: 13 Apr 2026
https://github.com/vvipjain/iphone-sales-analysis
Iphone Sales Analysis
jupyter-notebook numpy numpy-arrays numpy-library pandas pandas-dataframe pandas-library pandas-python plotly plotly-express plotly-python python python3
Last synced: 13 Apr 2026
https://github.com/allanotieno254/pinecone-index-creation-vector-store-database-
This project demonstrates how to create an index in Pinecone, a vector database optimized for similarity search and machine learning applications. The notebook covers setting up a Pinecone client, creating an index, and managing vector data efficiently.
index jupyter-notebook numpy pinecone python
Last synced: 13 Apr 2026
https://github.com/vasu7052/recognizing-handwritten-digits
This is a machine learning project created in Python using Neural Networks and Supervised Learning Algorithms.
machine-learning machine-learning-algorithms numpy python scikit-learn
Last synced: 13 Apr 2026
https://github.com/veb-101/deeplearning-specialization-coursera
My Solutions to the course Deeplearning.ai
deep-learning jupyter-notebook keras matplotlib numpy pandas python3 tensorflow
Last synced: 13 Apr 2026
https://github.com/mahdibehoftadeh/polynomial-regression-co2-emissions
A simple machine learning polynomial regression using a large dataset to learn and predict CO2 emission of a car by its built features like engine size and cylinders
machine-learning matplotlib numpy nural-network pandas polynomial-regression python scikit-learn
Last synced: 22 Feb 2026
https://github.com/goessl/adjugate
A package for calculating submatricies, minors, adjugate- and cofactor matrices.
adjugate cofactor determinant inverse linear-algebra matrix minor numpy python submatrix
Last synced: 07 Jan 2026
https://github.com/debjyotisaha/web-application-projects
Web Applications developed with the help Python libraries and ML algorithms
algorithms cufflinks machine-learning matplotlib numpy pandas prediction python scikit-learn seaborn sklearn streamlit
Last synced: 13 Apr 2026
https://github.com/athul64/tmdb-dataset-analysis
This data set contains information about 10,000 movies extracted from TMDB. The dataset contains movies from 1960 to 2015. Including user ratings and revenue. Original data from Kaggle.
data-visualization dataframe eda numpy pandas python
Last synced: 14 Apr 2026
https://github.com/prateekrajsrivastav/financial-transition-classification
This project focuses on classifying financial transactions using machine learning techniques. By leveraging labeled data, the model aims to categorize transactions into predefined categories (e.g., "Food," "Transport," "Shopping," etc.).
matplotlib numpy pandas-python scikitlearn-machine-learning seaborn
Last synced: 07 Sep 2025
https://github.com/djdhairya/car-parking-detection
cnn cv2 deep deep-learning epoch flask keras numpy numpy-arrays opencv pickle tensorflow
Last synced: 13 Apr 2026
https://github.com/murugavl/customer_churn_prediction
Customer churn prediction is a crucial task in business analytics, helping companies identify customers who are likely to leave and take preventive actions. This project utilizes Machine Learning (ML) techniques to analyze customer behavior and predict churn.
jupyter-notebook machine-learning matplotlib numpy pandas pickle python scikit-learn streamlit
Last synced: 13 Apr 2026
https://github.com/bbhargavpanchal/brain-tumor-segmentation-unet
U-Net based Convolutional Neural Network for brain tumor segmentation using MRI images. Implemented in Python with TensorFlow, OpenCV, and Scikit-learn.
keras-tensorflow numpy opencv pandas python scikit-learn sklearn tensorflow
Last synced: 13 Apr 2026
https://github.com/oleksiilatypov/titanic_ml
Titanic Survival Prediction using ML and Flask Deployment.
data-science docker flask machine-learning numpy pandas skit-learn
Last synced: 13 Apr 2026
https://github.com/ksprugevics/magic-square
Some simple algorithm implementations for solving (ordinary) magic squares using NumPy
algorithms mathematics numpy python
Last synced: 21 Apr 2026
https://github.com/danhenriquex/data_science_and_machine_learning
A.I, Data Science & Machine Learning and Deep Learning with Tensorflow
deep-learning deep-neural-networks machine-learning matplotlib numpy pandas tensorflow
Last synced: 13 Apr 2026
https://github.com/debjyotisaha/deep-learning-projects-phase-1
Deep Learning Projects which demonstrate the use of Python and its complex ML algorithms
deep-learning machine-learning neural-network numpy opencv pandas python seaborn streamlit
Last synced: 13 Apr 2026
https://github.com/hilarionengarejr/movie-recommender-app
Sentiment analysis on user reviews for movie recommendations using Content Based Filtering.
docker flask nltk numpy pandas python3 scikit-learn selenium
Last synced: 10 Apr 2026
https://github.com/anarya22/accenture-north-america-data-analytics-and-visualization-job-simulation-on-forage
Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture. Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions. Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.
analyzing-visualization data-cleaning data-visualization numpy pandas powerbi powerpoint-presentations
Last synced: 09 May 2026
https://github.com/pratyush905/farecast-nyc-taxifare-predictor
Machine learning models to predict nyc taxi fare based on given dataset
jupiter-notebook kaggle machine-learning matplotlib numpy python regression-models scikit-learn
Last synced: 13 Apr 2026
https://github.com/eesunmoon/aml_project
[Project] Analyzing Fitness Patterns & Building Predictive Models
matplotlib numpy pandas python3 recommender-system scikit-learn seaborn tensorflow
Last synced: 13 Apr 2026
https://github.com/dmarks84/coursework_project_text-mining-topic-modeling
Project for University of Michigan Applied Data Science Specialization -- Developed functions to score similarity between text passages.
data-modeling data-reporting data-visualization databases eda nlp numpy pandas python statistics text-mining
Last synced: 12 Apr 2026
https://github.com/mosalem149/data-mining-assignments
That repo for data mining quizzes and tasks.
anaconda data-mining dataframe jupyter-notebook matplotlib mlxtend numpy pandas python quizzes scikit-learn seaborn tasks
Last synced: 13 Apr 2026
https://github.com/caterinatasinato/python-projects
Projects I worked on as Trainee in Data Analytics at ProfessionAI
matplotlib numpy pandas python3
Last synced: 13 Apr 2026
https://github.com/tharushiimasha/python-practice
This repository contains Python programs and exercises from practice sessions. It covers Python basics, file handling, and libraries like NumPy and pandas for data manipulation.
api-integration csv-files file-handling json-files jupyter-notebook numpy oops-in-python pandas python web-scraping
Last synced: 13 Apr 2026
https://github.com/darshanpakhale250-gif/customer-churn-prediction-ml
A machine learning project to predict customer churn using regression and classification models including logistic regression, decision tree, and random forest. Performed EDA, visualizations, and model evaluation. The dataset is taken from Kaggle and implemented in Google Colab.
colab-notebook customer-churn-analysis data-science decision-trees kaggle logistic-regression machine ml numpy pandas python random-forest
Last synced: 13 Apr 2026
https://github.com/raghavendranhp/youtube_data_harvesting
The "YouTube Data Analyzer" is a versatile tool for businesses and content creators, enabling them to gather, analyze, and harness valuable insights from multiple YouTube channels. With streamlined data collection, storage in MongoDB, migration to SQL, and a user-friendly Streamlit interface, it empowers users to make data-driven decisions
apiintegration data datacollection eda googleapi googleapiclient matplotlib mongodb mysql mysqlconnector numpy oops pandas pymongo python pythonoops sql sqlalchemy streamlit youtube-api
Last synced: 13 Apr 2026
https://github.com/kizman-23/supervised_models
Classical prediction of future data using models trained by labeled data
numpy pandas scikit-learn supervised-machine-learning
Last synced: 13 Apr 2026
https://github.com/blairnangle/python3-numpy-ta-lib
Docker image with NumPy and TA-Lib installed. Built and uploaded to Docker Hub using GitHub Actions.
Last synced: 13 Apr 2026
https://github.com/venkat-0706/accenture-hackathon
Developing an e-commerce recommendation system involves utilizing technologies such as Python for programming, Pandas for data manipulation, SQL for database management, FastAPI for building APIs, PostgreSQL for data storage, and Docker for containerization.
alembic api docker fastapi machinelearningalgorithms matplotlib numpy postgresql pydantic python3 scipy seaborn sqlmodel
Last synced: 13 Apr 2026
https://github.com/anujdutt9/language-model-using-rnn
Text Generation using basic RNN from scratch using Python and Numpy.
language-model numpy python rnn text-generation
Last synced: 08 May 2026
https://github.com/fearless-spider/spideroptic-cli
Spider Optic CLI is a command line application.
cement cli cli-app command-line makefile numpy oanda pypi python
Last synced: 01 May 2026
https://github.com/somyaaaaaa2004/travelling-sales-man-problem
This project is a soft computing-based solution to the Traveling Salesman Problem (TSP) using a Genetic Algorithm (GA), implemented entirely from scratch in Python on Google Colab. The goal of the TSP is to find the shortest possible route that visits each city exactly once and returns to the starting point. It's a classic NP-hard combinatorial
genetic-algorithm jupyter-notebook matplotlib-pyplot numpy pandas python travelling-salesman-problem
Last synced: 06 May 2026
https://github.com/harmanveer-2546/eda-on-indian-railways
Indian Railways is a statutory body under the ownership of the Ministry of Railways of the Government of India that operates India's national railway system. As of 2023, it manages the fourth largest national railway system by size with a track length of 132,310 km, running track length of 106,493 km and route length of 68,584 km.
clean-data eda exploratory-data-analysis geometry geopandas indian-railways json linestring matplotlib numpy os pandas plotly python railway seaborn shapely train visualization
Last synced: 09 Apr 2026
https://github.com/harmanveer-2546/tweets-cleaning-with-python
Twitter is one of the most used data sources for data analysis. The reason is that it’s open and free to collect unless you subscribe to the paid version one. Besides, it’s pretty simple to collect data from it.
filtering function-calling nlptk numpy os pandas punctuation python re removing-links tokenization tweet-cleaning twitter-data-analysis twitter-sentiment-analysis
Last synced: 10 Apr 2026
https://github.com/lingumd/school_district_analysis
Updated test score data and school district analysis using Python.
averages binning jupyterlab numpy pandas pandas-loc python
Last synced: 13 Apr 2026
https://github.com/csengupta1101/rock-paper-scissor-game
Rock Paper Scissor game built with Python 3. Jupyter notebook used as IDE. Code File , Read Me attached herewith.
game if-else-statements numpy python python3 random
Last synced: 11 May 2026
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/charanpool/image-patch-mapping
A Python toolkit for image processing — edge detection, template matching, and patch detection using OpenCV
canny-edge-detector computer-vision edge-detection image-processing numpy opencv python sobel-filter template-matching
Last synced: 18 Jan 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/harmanveer-2546/predicting-schizophrenia-disorder
The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase
boxplot decisiontreeregressor disorder linearregression matplotlib mean-squared-error numpy pairplot pandas prediction randomforestregressor schizophrenia seaborn train-test-split visualization
Last synced: 13 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/zvdy/movie_recommendation
Movie Recommendation Search Engine using Jupyter Notebooks, Pandas, Nnmpy, SciKit Learn, IPyWidgets
data-science jupyter-notebook machine-learning numpy pandas python scikit-learn
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/nur-alam39/course-lab-experiments
The lab works: Code of academic courses-Digital Image Processing, Microprocessor, OOP, Numerical Analysis
cpp lab lex matplotlib numpy oop opencv python
Last synced: 13 Apr 2026
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/jessicahora/series_temporais
Análise de Series Temporais do Consumo de Energia da Alemanha.
numpy pandas python time-series-analysis
Last synced: 07 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/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/subhas-pramanik-09/car-detection-and-counting
This project counts the number of cars passing through a designated line in a video file using OpenCV and background subtraction techniques.
machine-learning numpy object-detection opencv
Last synced: 13 Apr 2026
https://github.com/fearless-spider/ai_with_python
AI with Python playground
artificial-intelligence numpy python3 vagrant
Last synced: 08 May 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/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/tromesh/attendance-predictor
Student Attendance predictor for Scheduling lecture sessions
matplotlib numpy pandas tensorflow
Last synced: 05 May 2026
https://github.com/themusharraf/loan-predictor
fastapi jobl ml numpy pandas sckiit-learn
Last synced: 13 Apr 2026
https://github.com/ivangael/image-toolbox-backend
api-rest flask numpy opencv python tensorflow
Last synced: 28 Apr 2025
https://github.com/dbriane208/python-for-data-science
Machine Learning and Data Science repository. Love crafting Machine Learning models.
data-analysis data-science data-visualization machine-learning numpy pandas python seaborn
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/harmanveer2546/recognizing-digits
I used the MNIST dataset for the implementation of a handwritten digit recognition app. To implement this, will be using a special type of deep neural network called Convolutional Neural Networks. In the end, I also build a Graphical user interface(GUI) where you can directly draw the digit and recognize it straight away.
dense flatten gui keras maxpooling mnist numpy pandas pillow python sequential
Last synced: 13 Apr 2026
https://github.com/iv4n-ga6l/GenderDetection
Gender detection using gender classification model
genderclassification genderdetection numpy pil python resnet18 torch torchvision
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