NumPy | Ecosyste.ms: Awesome

https://github.com/nikita620/churn-prediction-using-ann

minor project for Python and AI

artificial-neural-networks matplotlib numpy pandas

Last synced: 03 May 2026

https://github.com/chenna7893/enhancing-customer-retention-a-machine-learning-approach-to-churn-prediction

Churn prediction using machine learning models like Random Forest, Decision Tree, and XGBoost involves identifying customers who are likely to stop using a company's services.

decision-tree-classifier matplotlib numpy pandas random-forest-classifier xgboost

Last synced: 02 May 2026

https://github.com/mrhoban/python-syntax-medical-insurance-project

datascience matplotlib numpy python

Last synced: 04 May 2026

https://github.com/rahulchouhan1/air-quality-data-in-india

India Air Quality Analysis (2015-2024)

matplotlib numpy pandas python

Last synced: 11 Apr 2026

https://github.com/karthik9273/electric-vehicle-market-segmentation

Electric Vehicle market in India using Segmentation analysis and come up with a feasible strategy to enter the market, targeting the segments most likely to use Electric vehicles.

data-science machine-learning-algorithms matplotlib numpy numpy-arrays pandas seaborn statistics

Last synced: 18 Apr 2026

https://github.com/petridhsg/firewall-data-classification

A single implementation of a machine learning algorithm for a firewall data classification task

machine-learning matplotlib numpy python seaborn

Last synced: 01 May 2026

https://github.com/abdelrhman941/numpy

numpy

Last synced: 24 Feb 2025

https://github.com/boobshash/numpy-neural-net

Simple and extendable library for deep learning in numpy

deep-learning mlp-classifier numpy

Last synced: 20 Jul 2025

https://github.com/youssefali11997/100-numpy-exercises

100 exercise on NumPy library. NumPy (Numerical Python) is a package used for scientific computing with Python.

data-science numpy python3

Last synced: 18 May 2026

https://github.com/rohansoni45/movie-recommendation-system

This project is a Content-Based Recommender System that suggests movies to users based on their preferences and watched history. The system leverages cosine similarity to find and recommend movies similar to a selected title. It is built using Python and libraries like Pandas, NumPy, and Scikit-learn.

content-based-filtering cosine-similarity data-analysis data-science machine-learning numpy pandas python recommender-system render scikit-learn

Last synced: 17 Apr 2026

https://github.com/ugurcan222/a-different-approach--image-enhancement-with-imputation-and-regression-methods

This experimental work presents a different approach to increase the size and quality of an image by adding a blank pixel around each pixel in an image, enlarging the image, breaking it into parts, and generating these blank pixels by predicting them with models.

ai-image-upscaling computer-vision digital-image-processing gradient-boosting image-analysis image-enhancement image-enlargement image-interpolation image-processing imputation knn machine-learning numpy opencv pixel-prediction python randomforest regression-models super-resolution xgboost

Last synced: 17 Jan 2026

https://github.com/jim-by/scrape_analysis_books

Scraping book data from the website books.toscrape.com and performing analysis on the collected data.

beautifulsoup json matplotlib numpy pandas python scipy scraping seaborn

Last synced: 09 Apr 2026

https://github.com/0xkibh/books-recommendation-system

This is the website with collections of top readed books with the functionaliy of recommendation system. It basically recommends the book on the basis of given books. It also shows data of different books available.

bootstrap css flask font-awesome html numpy pandas pickle

Last synced: 07 Apr 2026

https://github.com/dataspieler12345/mathematics_for_ai

Mathematics for AI

jupyter-notebook matplotlib-pyplot numpy python sympy-library

Last synced: 19 Apr 2026

https://github.com/harmanveer2546/house-price-prediction-using-machine-learning

We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.

catboost-classifier linear-regression machine-learning matplotlib numpy pandas python random-forest seaborn support-vector-machine

Last synced: 07 Apr 2026

https://github.com/redreaper420/secret-qr-code-injector

Script for secret QR code injection into PNG images.

image-manipulation numpy pillow png python qrcode steganography

Last synced: 14 May 2026

https://github.com/yusufterzii/numpybasics

numpy numpy-arrays numpy-exercises

Last synced: 18 May 2026

https://github.com/dineshdhamodharan24/singapore_flat_resale_

This project focuses on developing a machine learning model to predict the resale values of apartments in Singapore. The goal is to create a user-friendly online application that enables users to obtain accurate predictions for the resale values of specific properties.

data-analysis flat json numpy pandas pickle project python streamlit

Last synced: 07 Apr 2026

https://github.com/bishopce16/world_weather_analysis

The project’s objective is to improve a travel app to give customers a way to decide their travel destination and ideal hotel based on weather preferences.

apis citipy datetime gmaps json-traversal jupyter-notebook matplotlib numpy pandas python requests scipy

Last synced: 13 Apr 2026

https://github.com/farzeennimran/moon-phases-prediction-using-ai

Deep learning model that predicts the phase of the moon 🌒🌓🌔🌕🌖🌗🌘

artificial-intelligence cnn cv2-library data-science data-visualization deep-learning keras matplotlib numpy opencv predictive-modeling python tensorflow

Last synced: 07 Apr 2026

https://github.com/vbhvsingh0/cdc_immunization

This project explores the relationships in between different vaccines and the sex, age and other basic features in the data.

data-cleansing data-manipulation-with-pandas data-science numpy pandas-python python3

Last synced: 05 May 2026

https://github.com/brenderb/python-projects

General interest and school python projects I completed. Included are lab analysis files (with uncertainty analysis, fitting, and graphing), simulation files (visualization of electric+magnetic fields, etc), specific research project files (data extraction + processing for a building science lab, graphs for a medical physics paper) and misc files

csv fitting matlab matplotlib numpy os pandas pyplot python scipy uncertainty

Last synced: 05 Apr 2025

https://github.com/vbhvsingh0/deforestation_rainfall_correlation

The aim of this project is to check if there is any correlation of rainfall with deforestation in Pennsylvania state of USA.

correlation-analysis data-science matplotlib-pyplot numpy pandas python3

Last synced: 29 Apr 2026

https://github.com/vbhvsingh0/fraudulent_transactions

A few models were developed based on Decision trees and Logistic Regression to categorize fraudulent transactions

credit-card-fraud data-science logistic-regression machine-learning numpy numpy-python pandas pandas-python python3 random-forest-classifier

Last synced: 09 May 2026

https://github.com/avs123a/image-edge-detection-demo

Demo of image edges detection using different operators, norms and custom masks

demo edge-computing edge-detection image-analysis image-manipulation image-processing jupyter-notebook numpy python python27 python3

Last synced: 04 Feb 2026

https://github.com/isa1asn/mnist-neural-net

Applying neural networks on the MNIST dataset (from scratch & using tf)

from-scratch keras mnist-classification neural-networks numpy pandas relu-activation softmax tensorflow

Last synced: 12 Apr 2026

https://github.com/notshrirang/opennn

Neural Networks for humans. An implementation from scratch in Python using NumPy. Consists of Optimizers such as Adam, SGD, Adagrad, RMSProp, and activation functions ReLU, Softmax and Losses. All implemented from scratch.

deep-learning machine-learning neural-network numpy

Last synced: 27 Apr 2026

https://github.com/technologicat/orderfix

Reorder solutions of parametric studies to make continuous curves

cython eigenvalues numpy postprocessing python python2 python27 python3 python34

Last synced: 25 Jan 2026

https://github.com/alexsolov28/vkrb

Выпускная квалификационная работа бакалавра «Система анализа алгоритмов машинного обучения для решения задач классификации с использованием Pandas»

jupyter-notebook matplotlib numpy pandas python scikitlearn seaborn streamlit

Last synced: 15 Feb 2026

https://github.com/harmanveer-2546/motor-vehicle-accidents-in-india

As per the report, a total of 4,61,312 road accidents have been reported by States and Union Territories (UTs) during the calendar year 2022, which claimed 1,68,491 lives and caused injuries to 4,43,366 persons.

accidents accidents-analysis darkgrid data-analysis eda exploratory-data-analysis indian-roads inline matplotlib motor-vehicles numpy pandas review seaborn visualization

Last synced: 19 Jan 2026

https://github.com/mituskillologies/aiml-dypiemr-sep24

Programs conducted at DYPIEMR, Pune in training on AIML during September 2024.

artificial-intelligence data-analysis data-science machine-learning matplotlib neural-network numpy pandas python3

Last synced: 05 Apr 2025

https://github.com/harmanveer-2546/guide-to-regularization

Regularization is a crucial technique in machine learning that helps to prevent overfitting. Overfitting occurs when a model becomes too complex and learns the training data so well that it fails to generalize to new, unseen data.

generalization inline l1 l2 matplotlib numpy overfitting overfitting-prevention overfitting-reduced pandas regularization regularization-methods regularization-techniques regularization-to-avoid-overfitting seaborn

Last synced: 05 Apr 2025

https://github.com/harmanveer-2546/ad-click-prediction-analysis-and-insights

To predict whether a user will click on ad or not.

ads analysis classification-report click insights linearregression matplotlib numpy onehotencoder pandas pipeline prediction preprocessing randomforestclassifier seaborn sklearn sklearn-compose sklearn-library sklearn-metrics standardscaler

Last synced: 27 Jan 2026

https://github.com/djdhairya/fish-species-detection-and-recognition

Dataset

deep-learning epoch heatmap mobilenetv2 numpy pandas relu sckiit-learn train-test-split

Last synced: 20 Jan 2026

https://github.com/rohansahu15/stackoverflow-hashtag-generator

ai machine-learning nlp numpy pandas

Last synced: 18 Jan 2026

https://github.com/chandkund/predicting-heart-disease

Welcome to the Heart Disease Prediction project! 🩺 This project focuses on developing a predictive model to assess heart disease risk based on health indicators like age, cholesterol levels, and blood pressure. By analyzing these features, we aim to create an effective tool for early diagnosis and heart disease prevention

machine-learning matplotlib numpy pandas python seaborn sklearn

Last synced: 18 Jan 2026

https://github.com/shivjotchoudhary/shivjot-core

High-performance Python utilities for AI/ML workflows, computer vision, and enhanced Pandas/NumPy data engineering.

computer-vision data-science machine-learning numpy pandas python

Last synced: 18 Apr 2026

https://github.com/Mike014/SoundBot

This Repository will contain the prototype of a ChatBot created for the playback of audio, or everything related to audio in the world of video games and not.

chatbot dsp nlp nlp-library nlp-machine-learning numpy python scipy sound-processing

Last synced: 12 Sep 2025

https://github.com/zobayerakib/student-result-data-analysis__data-analysis-project

linear-regression machine-learning mathplotlib numpy pandas predictive-analytics random-forest-regression seaborn student-result-analysis

Last synced: 07 Apr 2026

https://github.com/vlasdislav/mymlalgorithms

algorithms ml numpy pandas

Last synced: 07 May 2026

https://github.com/aapo-kossi/christmas_tree_spectrogram

Colab notebook to generate a spectrogram visualization on a programmable led installation

colab-notebook numpy pandas python

Last synced: 07 Apr 2026

https://github.com/hanzopgp/tensorflowtest

Learning how to use jupyter notebook, tensorflow, numpy and other librairies for machine learning projects. Following Thibaut Neveu's tutorial.

artificial-intelligence convolutional-neural-networks deep-learning lstm-neural-networks machine-learning matplotlib multilayer-neural-networks numpy personal recurrent-neural-networks sklearn tensorflow

Last synced: 07 Apr 2026

https://github.com/hansalemaos/stridesduplicatefinder

Calculate overlapping values between two arrays and return the results as a DataFrame

duplicates fast numexpr numpy strides

Last synced: 07 Mar 2026

https://github.com/imdadmiran17/data_analysis_exercise

data-analysis numpy numpy-arrays numpy-exercises python3

Last synced: 17 May 2026

https://github.com/subhamsarangi/visualize

Data Visualizations using Python

bokeh matplotlib numpy pandas pyplot python3 seaborn

Last synced: 07 Apr 2026

https://github.com/hbmartin/mathjs-to-func

Compile serialized math.js expression trees into fast, reusable Python callables. Optional parse extra.

ast compiler expression-evaluator expression-parser expressions formula formula-parser formulae mathjs numpy

Last synced: 17 May 2026

https://github.com/razvan48/digit-recognizer-in-python

A simple digit recognizer written using Python.

graphics knn knn-algorithm knn-classification machine-learning machine-learning-algorithms numpy pygame python

Last synced: 17 May 2026

https://github.com/alyssahusna44/poai-image-classification

An implementation of an AI model that classifies animal subspecies. The project involved data preparation, model training using ResNet50, DenseNet121, and MobileNetV3, and evaluation using metrics: accuracy and mAP. 🗂️

artificial-intelligence image-classification machine-learning model-training-and-evaluation neural-networks numpy pandas python tensorflow

Last synced: 09 Apr 2026

https://github.com/orthoin3d/django-ndarrayfield

New Django field to store numpy ndarray.

django django-fields numpy numpy-arrays

Last synced: 07 Mar 2026

https://github.com/hi-shekhar/data_science

Data science

algorithm-comparison decision-trees keras kmeans linear-regression logistic-regression numpy pandas python sentiment-analysis svm time-series visualization webcrawler

Last synced: 05 Apr 2026

https://github.com/zohaib-cheema/defacto

DeFacto is a machine learning-based tool that classifies fake news articles using a hybrid model built with Scikit-learn, TensorFlow, and Keras. The system analyzes social and political content to detect deception in news stories and social media posts, providing a reliable solution to address the growing issue of misinformation.

flask git keras numpy pandas r scikit-learn tensorflow

Last synced: 07 Apr 2026

https://github.com/prajakta1321/authencheck

Amdocs Gen AI Graduate Hackathon 2024-25- A comprehensive fact-checking and misinformation detection system that leverages cutting-edge AI models and multiple news sources to verify information circulating on social media

api bert-fine-tuning flask-application matplotlib ngrok-server nlp nlp-machine-learning numpy pandas python3 scikit-learn seaborn wandb

Last synced: 05 Apr 2026

https://github.com/ediloaz/machine-learning-study-and-tests

Some codes for testing new features in Machine Learning while I'm studying and understand how to works it.

cv2 jupyter-notebook machine-learning numpy python pytorch tensorflow

Last synced: 08 Apr 2026

https://github.com/nermeenkamal/amazon_web_scraping

analysis beautifulsoup data-science dataset matplotlib numpy pandas python seaborn visualization webscraping

Last synced: 07 Apr 2026

https://github.com/bbergerud/tenops

Creating a common interface for numpy, pytorch, tensorflow, etc.

numpy pytorch tensorflow

Last synced: 20 Jan 2026

https://github.com/hansalemaos/ffmpeg_stream_to_numpy

ffmpeg stream to numpy arrays

cv2 ffmpeg numpy python stream video

Last synced: 29 Apr 2026

https://github.com/jose-zothner-meyer/finance-individual-loans

A comprehensive analysis of a financial institution's loan portfolio using Python, focusing on data preprocessing, exploratory data analysis (EDA), and feature engineering.

credit data-science data-visualization eda exploratory-data-analysis finance jupyter-notebook matplotlib numpy pandas plotly python scipy seaborn

Last synced: 09 Apr 2026

https://github.com/elmezianech/email-spam-ham-classifier-nb-simple

Count Vectorizer Naive Bayes Email Classifier: This Python project utilizes a simple Naive Bayes approach with Count Vectorizer to classify emails as spam or ham. The implementation focuses on word frequency for classification.

countvectorizer emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering

Last synced: 07 Apr 2026

https://github.com/ramyacp14/global-warming-analysis

Analyzes and visualizes global temperature data to identify climate change trends. The project includes global and seasonal temperature trend analysis, country-wise and city-specific temperature visualizations, and geospatial analysis with interactive maps and heatmaps.

data-visualization folium geospatial-analysis jupyter-notebook matplotlib numpy opencage-geocoder pandas plotly python seaborn

Last synced: 07 Apr 2026

https://github.com/krishbharadwaj5678/clearbg

Instantly remove backgrounds from any image with Clear BG. Upload your photos, remove the unwanted backdrop, and download the result in seconds.

background-remove background-remover deployment numpy onnxruntime pillow python python3 rembg streamlit

Last synced: 07 Apr 2026

https://github.com/imcrazeegamer/shift-maker

Shift Schedule Generator WIP

generative numpy python

Last synced: 28 Apr 2026

https://github.com/zakircodearchitect/intent-classifiers-on-regression-models

This project compares five optimization algorithms (GD, SGD, Momentum, RMSProp, and Adam) on Univariate Linear Regression and a neural network for Intent Classification with the ATIS dataset. It evaluates convergence speed, stability, and final loss, showing that Adam delivers the best performance across both models.

atis-dataset intent-classification jupyter-notebook keras keras-neural-networks matplotlib numpy python regression-models tenserflow

Last synced: 02 May 2026

https://github.com/sadegh15khedry/creditcard-transaction-anomaly-detection-using-isolationforest

detecting fraudulent transactions in credit card data using anomaly detection techniques.

anomaly-detection matplotlib numpy pandas python seaborn sklearn

Last synced: 27 Feb 2025

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/prab9166/-web-content-extraction-and-sentiment-analysis-

web content extraction and sentiment analysis on URLs provided in an Excel file. Its divided into classes to manage different stages such as data loading, web scraping, text processing, sentiment scoring, and output generation

beautifulsoup lxml nltk-python numpy pandas python re requests xlsxwriter

Last synced: 06 May 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/aaaastark/wordassociation-mutualinformation-nlp-project

Word Association and Mutual Information Project

gensim machine-learning matplotlib natural-language-processing nlp nltk numpy pandas python seaborn sklearn wordcloud

Last synced: 13 Apr 2026

https://github.com/jpcadena/ventas-facturas

Ventas con facturas

data data-analysis data-exploration data-extraction data-science excel feature-engineering matplotlib microsoft numpy pandas powerbi product-sales pylint python receipts sales

Last synced: 12 Apr 2026

https://github.com/bhiogade/hpi-analysis

House price index (HPI) Analysis

data-analysis data-cleaning data-visualization gathering-data numpy pandas-python

Last synced: 30 Apr 2026

https://github.com/iadtya/hate-text-classification

Training RNN(LSTM) on Hate speech with tensorflow and keras

fastapi keras lstm nltk numpy pandas tenserflow

Last synced: 12 Apr 2026

https://github.com/vishant007/annadataa

A Website For Farmers To Guide Them Regarding Crop Prouction In Their Native Language

django flask-application google-collab kaggle machine-learning-algorithms numpy pandas python3 scikit-learn

Last synced: 13 Apr 2026

https://github.com/marianoviola/reim

🕸️ A Computational Framework for Inferring System Truth from Distributed Noisy Observations

fastapi numpy pandas python3 scipy

Last synced: 11 Jun 2026

https://github.com/prakshal0809/machine_learning_algorithms

This project showcases basic machine learning programs I developed during my studies, written in Python, intended for educational use or as a foundation for more advanced projects.

machine-learning matplotlib numpy pandas python

Last synced: 12 Apr 2026

https://github.com/jimmymugendi/luxdev-week-2-boot-camp

correlation-analysis eda matplotlib numpy pandas seaborn-plots visualizations

Last synced: 07 May 2026

https://github.com/sadegh-khedry/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: 10 Apr 2026

https://github.com/karthikmprakash/karthikmprakash

Karthik's Portfolio

bs4 data-analysis data-science keras machine-learning numpy pandas portfolio python selenium skills streamlit

Last synced: 13 Apr 2026

https://github.com/pythonhealthdatascience/stars-reproduce-lim-2020

Assessing the computational reproducibility of Lim et al. 2020 as part of STARS.

covid-19 covid19 discrete-event-simulation numpy open-science pandas python quarto reproducibility reproducible-research simulation

Last synced: 13 Apr 2026

https://github.com/lorenzorottigni/ml-iris-svm

Machine Learning python bootcamp: Support Vector Machines on iris flower dataset

ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines

Last synced: 10 Apr 2026

https://github.com/jillmpla/pythonxmldatabase

A Python & XML database application for a book collection.

database matplotlib numpy pandas pandas-dataframe python xml

Last synced: 12 Apr 2026

https://github.com/ahmedabdalkreem/healty-care

The Complete project using neural network to arrive the best healt know he is stoke or not.

matplotlib neural-network numpy pandas python3 sklearn-library

Last synced: 13 Apr 2026

https://github.com/railab/nxscli-np

Nxscli extention with Numpy operations

numpy nxscli

Last synced: 21 Apr 2026

https://github.com/abhinavraj009/x_ray-conversion-csv-

To convert an X-ray image into a CSV format for machine learning or data analysis, you'll typically want to represent the image as numerical pixel values.

machine-learning numpy opencv pandas python

Last synced: 13 Apr 2026

https://github.com/lexxai/goit_python_ds_hw_05

Метод опорних векторів -Support Vector Machine, SVM. Дерева рішень - RandomForestClassifier, XGBClassifier

classification numpy pandas python random-forest-classifier reporting scikit-learn svm-classifier svm-model xgbclassifier

Last synced: 12 Apr 2026

https://github.com/waghraj1699/codeclauseinternship_crop_disease_identification

Crop Disease detection app,it predicts wheather the given image of crop has disease or not.

cnn deep-learning machine-learning numpy pandas transfer-learning

Last synced: 13 Apr 2026

https://github.com/iamkushvanth/marketing-campaign-analysis

Data analysis comparing the performance of Facebook and AdWords ad campaigns in 2019, Using Statical Methods such as A/B test focusing on clicks, conversions, cost-effectiveness, and seasonal trends.

ab-testing hypothesis-testing linear-regression matplotlib-pyplot numpy pandas python regression-analysis scikit-learn scipy stastistics

Last synced: 07 Apr 2026

https://github.com/takana671/partiallytransparentimage

A simple tool to make an image partially transparent

geomipterrain numpy opencv pillow python3 transparent-image

Last synced: 07 May 2026

https://github.com/vedikasnehil/daily-leetcode-

Daily LeetCode Using Python is a project dedicated to solving coding challenges consistently using Python. It focuses on improving problem-solving skills, mastering Python techniques, and building a collection of clean, well-documented solutions. Perfect for interview preparation, learning algorithms, or daily coding practice!

matplotlib numpy pandas python python3 seaborn