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/abideen-olawuwo/frauddetection
A credit card Fraud Detection Model
logistic-regression matplotlib numpy pandas python seaborn sklearn
Last synced: 13 Apr 2026
https://github.com/joiceo/python
Projetos e exercícios em Python
eda machine-learning numpy pandas python seaborn sklearn
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/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/annygutierrez/bank-ann
Basic Artificial Neural Network
keras matplotlib numpy pandas sklearn
Last synced: 13 Apr 2026
https://github.com/archishmansengupta/dnn
Digit Neural Network is a digit recognition network based on MNIST data set using numpy, pandas and matplotlib
matplotlib mnist neural-network numpy pandas python
Last synced: 13 Apr 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/prediction-of-ticket-cancellation
The objective is to develop a model that accurately predicts whether users will cancel their tickets. Each cancellation incurs a fine for the ticket registration site from the passenger company.
datetime evaluation gridsearchcv labelencoder numpy pandas standardscaler stratified-k-fold train-test-split xgboost-model
Last synced: 04 May 2026
https://github.com/hootbu/cyberpunk-filter-desing
This project aims to design filters with a cyberpunk aesthetic by performing low-level image manipulation in Python.
computer-vision image-manipulation matplotlib numpy python
Last synced: 08 May 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/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/akansharajput280799/covid19-impact-analysis-usa
Data Analysis and Predictive Modeling to study COVID-19 impact across age groups, regions, and seasons in the USA.
classification-algorithm clustering-algorithm data-preprocessing data-visualization descriptive-statistics exploratory-data-analysis matplotlib numpy pandas seaborn
Last synced: 13 Apr 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/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/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/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/tatmorenno/python_para_data_science
Python para Data Science Introdução à linguagem e Numpy 🌎💻
Last synced: 13 Apr 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/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/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/themusharraf/loan-predictor
fastapi jobl ml numpy pandas sckiit-learn
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/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/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/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/darkksideyoda/dataminingclass
Data Mining Class 101
artificial-intelligence data-science machine-learning numpy pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/intscription/machine-learning
Machine Learning and it's advance concepts
adaboost numpy pandas pca-analysis pipeline random-forest scikit-learn svm
Last synced: 28 Apr 2026
https://github.com/pramodyasahan/spaceship-titanic
This repository features a machine learning model designed to predict whether passengers of a space travel company are likely to be transported. The model employs CatBoostClassifier, a machine learning algorithm known for handling categorical data effectively.
machine-learning numpy pandas python scikit-learn
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/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/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/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/muskan-setiya/spotify-data-analysis
Used Spotify.csv from Kaggle
matplotlib numpy pandas python seaborn tableau
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/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/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
https://github.com/ediloaz/linear-regression-with-lists-numpy-and-pytorch
This was done like the homework #01 of Machine Learning Course, of Computer Science Master.
arrays-raw jupyter-notebook machine-learning numpy python pytorch
Last synced: 13 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/aiwithqasim/ab-testing-for-shoefly.com
In this project, I had analyzed the data set of SHOEFLY.COM to find out valuable insights to check which platform is more useful for advertisement.
Last synced: 13 Apr 2026
https://github.com/danny-1k/nnpy
Neural network library written from scratch in numpy
deep-learning neural-networks-from-scratch numpy python
Last synced: 17 May 2026
https://github.com/gyselle-marques/face-detection
Machine Learning: Face Detection System created using OpenCV.
colab-notebook face-classification face-detection machine-learning numpy open-cv-face-detection opencv opencv-python python
Last synced: 13 Apr 2026
https://github.com/subratamondal1/heart-attack-prediction
Heart Attack Prediction of patients based on the required data. Data Ingestion - Data Preparation - Exploratory Data Analysis (EDA) - Modelling - Evaluation.
data-analysis data-science data-visualization kaggle-dataset machine-learning matplotlib-pyplot numpy pandas python3 scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/ola-kaznowska/numpy-matrix-arrays
Practice working with the NumPy library and multiple arrays. Copy() and view() functions
Last synced: 18 Apr 2026
https://github.com/jersonrn/termviewer3d
Interactive terminal environment that allows users to explore 3D models in real-time.
3d ascii cupy gpu linear-algebra numpy python
Last synced: 19 May 2026
https://github.com/yash-3-bit/pubg-game-prediction
catboost-model data-visualization feature-engineering numpy pandas
Last synced: 13 Apr 2026
https://github.com/18mahi/digital_cave
An intermediate-level deep learning project that compares Convolutional Neural Networks (CNN) and Multi-Layer Perceptrons (MLP) on the MNIST handwritten digits dataset. This project demonstrates data augmentation, learning rate scheduling, and visual comparison of model performance
cnn confusion-matrix data-augmentation data-science deep-learning evaluation-metrics jupyter-notebook keras learning-rate-scheduler machine-learning matplotlib mlp numpy python3 scikit-learn seaborn tensorflow
Last synced: 13 Apr 2026
https://github.com/pranavsp108/time-series-forcasting
A time-series forecasting project to predict hourly energy consumption using Python, Pandas, and an XGBoost regression model.
data-analysis data-science energy-consumption forecasting matplotlib numpy pandas python scikit-learn sustainability time-series xgboost
Last synced: 10 Apr 2026
https://github.com/ahmadbuilds/fake-news-classifier
Classifies news articles as real or fake using an NLP pipeline with TF-IDF + n-grams and machine learning models. Includes text preprocessing, feature engineering, model training, and evaluation.
fastapi logistic-regression matplotlib n-grams nextjs nltk numpy pandas python3 random-forest-classifier react scikit-learn seaborn supervised-learning tf-idf typescript xgboost-classifier
Last synced: 11 Apr 2026
https://github.com/nihanthbhargav/time-series-stock-market
This project combines computer vision and NLP by segmenting pet images with a U-Net model and generating captions using CNN-RNN/LSTM. Using the Oxford-IIIT Pets dataset, it demonstrates a unified pipeline that integrates pixel-level segmentation with automatic caption generation for meaningful image understanding.
matplotlib numpy pandas plotly python scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/farhad-here/height-distribution-analysis
Statistical comparison of height distributions in two groups using mean, standard deviation, and boxplots.
coefficient-of-variation data-analysis interquartile-ranges matplotlib mean numpy python scipy standard-deviation variance
Last synced: 13 Apr 2026
https://github.com/sudharshan-bathini/chat-bot-using-cornell-movie-data-set
Developed an AI chatbot using the Cornell Movie Dialogs dataset; trained an LSTM-based model to generate context-aware, conversational responses for user inputs.
keras lstm-sentiment-analysis neural-networks nlp numpy python tensorflow tokenizer
Last synced: 08 Apr 2026
https://github.com/christabelsakyi/product_purchase_prediction
As a newly hired AI Engineer, your task is to predict customer behavior based on various features such as age, income, and gender. This exercise involves cleaning the data, training a decision tree model, and evaluating the model's performance to understand the key factors influencing customer purchasing decisions.
machine-learning matplotlib-pyplot numpy python seaborn sklearn
Last synced: 08 May 2026
https://github.com/umer-farooq-cs/california-housing-regression
Linear Regression experiments on the California Housing dataset across five phases, using NumPy and scikit-learn only (no pandas). Includes EDA, polynomial features, SGD with scaling, residuals, 5-fold CV, and an LNCS-style report with figures.
california-housing cross-validation deep-learning-for-perception linear-regression numpy polynomial-features reproducible-research residual-analysis sgd sklearn
Last synced: 09 May 2026
https://github.com/nimaabediforud/heart-disease-prediction
The project highlights the end-to-end workflow of data preprocessing, model building, evaluation, and comparison for a healthcare prediction task.
biomedical-applications biomedical-data-science biomedical-engineering classification deep-learning machine-learning neural-networks numpy pandas prediction python seaborn sklearn tensorflow
Last synced: 15 Apr 2026
https://github.com/yahiazakaria445/arabic-answer-grading-using-sequence-models
An NLP project on Arabic data using LSTM model
matplotlib nltk numpy pandas scikit-learn tensorflow
Last synced: 08 Oct 2025
https://github.com/thkox/uni_2023-content-based-image-retrieval
This project is a team assignment for the "Image Analysis" course, offered in the 7th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.
7th-semester cartesian-product content-based-image-retrieval department-of-informatics hyperedge-similarity-calculation hypergraph image-analysis matplotlib networkx numpy python rank-normalization scipy torchvision university-of-piraeus
Last synced: 08 Oct 2025
https://github.com/alex-s2222/mem_chat_bot
телеграмм бот для создания gif из текста введённого пользователем
cv2 google-api moviepy numpy python python-telegram-bot requests
Last synced: 08 Oct 2025
https://github.com/chandkund/stock-price-prediction-
Predict Tesla stock prices using historical data. The project preprocesses data, applies normalization and standardization, trains a linear regression model, and evaluates its performance. Visualizations include box plots and time series plots.
data-science linear-regression numpy pandas plotly python sklearn sklearn-model
Last synced: 21 Jan 2026
https://github.com/piyushxbhardwaj/credit-card-fraud-detection
In this project, we focus on developing a machine learning model to detect fraudulent transactions within credit card data. Credit card fraud poses a significant challenge to financial institutions and consumers globally, with traditional rule-based detection systems often struggling to adapt to new fraud tactics.
matplotlib numpy pandas python scikit-image seaborn
Last synced: 16 Feb 2026
https://github.com/mkdirer/disaster-tweet-nlp-adaboost-transformers
A machine learning project that classifies tweets as disaster-related or non-disaster-related using transformers and the AdaBoost technique. Achieved an accuracy of approximately 80% on the validation set
geopy keras matplotlib numpy pandas python sklearn tensorflow
Last synced: 12 Apr 2026
https://github.com/samuelpuerta/modelosiasaberprocolombia
PROYECTO KAGGLE - Crear un modelo para predecir el redimiento de los estudiantes en las pruebas Saber Pro
ai ia jupyter-notebook machine-learning numpy pandas prediction-model predictive-modeling python
Last synced: 06 May 2026
https://github.com/armahdavi/analytics_statistics_ml_plotting_dust_extraction_hvac_filters_ph2
PhD Technical Paper 1 - Phase 2 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available
data-pipelines data-science data-visualization machine-learning matplotlib-pyplot numpy pandas-dataframe python scipy-stats sklearn statistics
Last synced: 14 Apr 2026
https://github.com/netbr3ak/planetary-system-simulation
Planetary System Simulation enables users to simulate the trajectories of two planets in a gravitational system. Through a simple web interface, users can predict planetary movements using technologies such as Flask, NumPy, and SciPy.
astronomy flask gravitational-dynamics numerical-analysis numpy physics planetary-systems scipy simulation web-application
Last synced: 14 Apr 2026
https://github.com/bhavnanahar/coral_project
ChatGPT said: This project analyzes and predicts the health of coral reefs in the Florida Keys by examining coral cover and species richness trends over time.
colab-notebook matplotlib numpy pandas plotly python random-forest scikit-learn seabo
Last synced: 14 Apr 2026
https://github.com/gojoel/brockton-data-analysis
Analyzes police logs from the city of Brockton, MA and attempts predictive analysis.
data-science exploratory-data-analysis geopy machine-learning matplotlib numpy pandas seaborn
Last synced: 09 May 2026
https://github.com/dmarks84/coursework_project_image-text-recognition
Project for University of Michigan Python Programming Specialization -- Read in documents with images and text, and utilized CV libraries/packages to extract specific types of images and text, pairing them together
classification computer-vision image-classification numpy pandas programming python text-classification
Last synced: 14 Apr 2026
https://github.com/vishalgaud17/stroke
A simple Streamlit web app that predicts stroke risk based on user input features like age, BMI, glucose level, and lifestyle factors, using a pre-trained machine learning model.
machine-learning numpy pandas python scikit-learn streamlit
Last synced: 14 Apr 2026
https://github.com/gurramankit/censusproject_ml_randomforest
The objective of this project is to build a classification model using the Census Income dataset from the UCI Machine Learning Repository. The model predicts whether an individual's income exceeds $50,000 per year, based on their demographic and employment-related attributes.
matplotlib numpy pandas python random-forest scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/thekartikeyamishra/colorextractor
A Python-based project that extracts the dominant colors from an image using the KMeans clustering algorithm. This project is useful for applications like image processing, color palette generation, or analyzing the most prominent colors in images.
kmeans-clustering matplotlib matplotlib-pyplot numpy p pillow python sklearn
Last synced: 05 May 2026
https://github.com/rscr1/summer_practice_mai_2
Решение всех заданий летней практики
matplotlib numpy pandas python scipy sympy
Last synced: 14 Apr 2026
https://github.com/gustavodinizmonteiro/pagehank
gephi information-retrieval numpy pagerank pandas pipenv python python3
Last synced: 14 Apr 2026
https://github.com/tnel7/data-science-yandex-practicum
Проекты из Яндекс Практикума "Специалист по Data Science"
data-science machine-learning nlp-machine-learning numpy pandas seaborn sklearn
Last synced: 19 Jan 2026
https://github.com/paulokarabyna/ml-foundations-day1
🔧 Set up a Python environment and practice linear algebra with NumPy while plotting vectors and reflections in this Day 1 ML foundations starter repository.
ai data-science education jupyter-notebook linear-algebra machine-learning matplotlib numpy terminal-mac tutorial visualization
Last synced: 18 May 2026
https://github.com/badranalyst/time-series-analysis-of-global-trends-in-diet-gym-and-finance
This project analyzes global trends in diet, gym, and finance over time using time series data. The analysis is performed using Python libraries like Pandas, Matplotlib, and Seaborn to visualize trends and identify patterns in these sectors across various countries.
data-analysis dataset matplotlib-pyplot numpy pandas python seaborn time-series
Last synced: 14 Apr 2026
https://github.com/ljadhav25/false-alarm-detection
The data was first pre-processed and analysis libraries like Numpy and Pandas were used to make it ready to be utilized by a machine learning algorithm.Problems like standard scaling, categorical data and missing values were handled with appropriate techniques. Then, we used LogisticRegression model.
flask flask-api logestic-regression numpy pandas pkl pycharm-ide python
Last synced: 19 Jan 2026
https://github.com/akshay-kamath/anomaly_detection
This project addresses the challenge of identifying anomalies in sales data, aiming to optimize sales strategies by uncovering deviations from expected profit patterns.
anomaly anomaly-detection cblof flask isolation-forest knn matplotlib numpy pandas pyod python sklearn
Last synced: 19 Jan 2026
https://github.com/priyanshulathi/air-quality-index-prediction
Machine learning based air quality index prediction using environmental and pollutant data to classify and forecast pollution levels.
machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 19 Jan 2026
https://github.com/bharath-tars/deeptumor2.0
DeepTumor2.0 is a project aimed at developing a flask webapp with robust front end and highly trained model using tensorflow in the backend with several features like with automatic html template reporting. **NOTE: DeepTumor2.0 has been moved from Azure to On-Render to save costs**
css datetime docs flask github html javascript keras numpy onrender os pandas python sheety smtp tensorflow
Last synced: 21 Jan 2026
https://github.com/omcodewizard/nasa-battery-analysis
This repository contains code for analyzing battery data from NASA's battery testing dataset. The analysis involves processing battery impedance, electrolyte resistance, and charge transfer resistance across charge/discharge cycles to track the aging and performance of various batteries.
battery-impedence nasa-battery-dataset numpy pandas plotly python
Last synced: 09 May 2026
https://github.com/saifalibaig/covid-19-death-rate-analysis-using-python
Analysis of Covid-19 data along with the world happiness report to identify if there is any relationship between death rate and happiness rate of countries all over the world.
data-analysis data-visualization numpy pandas python3 sns visualization
Last synced: 03 May 2026
https://github.com/ricardorobledo/paymentcardfrauddetection2025
Comparative analysis of probabilistic classification models for credit card fraud detection, focusing on model calibration and threshold optimization in highly imbalanced datasets.
imbalanced-learn matplotlib numpy pandas python3 scikit-learn search
Last synced: 14 Apr 2026
https://github.com/azaz9026/python_project_for_data_analysis
numpy pandas postgresql python3
Last synced: 14 Apr 2026
https://github.com/dhruvrajsinhzala24/house-price-predictor-ml-model
A machine learning project to predict house prices using linear regression and random forest models. The project leverages housing data to train and evaluate models, comparing their performance using metrics like MSE and R². Visualizes actual vs. predicted prices to assess model accuracy.
linear-regression machine-learning matplotlib ml numpy pandas python random-forest-regression sklearn
Last synced: 14 Apr 2026
https://github.com/ayodimeji1/ai_clustering
artificial-intelligence clustering-algorithm machine-learning numpy pandas seaborn sklearn
Last synced: 13 Apr 2026
https://github.com/gayatri018/ab-testing-marketing-campaign
This project involves conducting A/B testing to evaluate the performance of two marketing campaigns: Facebook Ads and Google Adwords for an online retail business. The primary goal is to determine which campaign is more effective in driving user engagement and conversions, helping the company optimize its marketing strategies.
ab-testing linear-regression matplotlib numpy pandas python scipy seaborn sklearn-
Last synced: 10 Apr 2026
