NumPy | Ecosyste.ms: Awesome

https://github.com/dyegopimentel/sentiment-analysis-and-wordclouds-in-python

We developed a sentiment analysis algorithm and at the end we bring a wordcloud to give an overview of what is being said about the topic we are analyzing.

matplotlib numpy pandas python sentiment-analysis tweepy wordcloud

Last synced: 09 May 2026

https://github.com/matheussc017/irisclassification_sklearn

Application of Machine Learning technique to classify 3 types of iris flower

data-science machine-learning numpy pandas python

Last synced: 09 Apr 2026

https://github.com/raghavendranhp/waiter_tip_prediction

The "Waiter Tips Prediction Model" is a machine learning tool that forecasts waiter tips based on factors like the total bill, customer demographics, and dining specifics. It assists waitstaff and restaurants in understanding and estimating tipping patterns

eda numpy pandas plotly-express plotly-graph-objects python sklearn

Last synced: 06 Apr 2026

https://github.com/arunagirinathan-k/text-classifier-using-nlp_techniques

A Text Classification using NLP Techniques.

matplotlib nlp nltk numpy pandas scikit-learn seaborn spacy text-classification

Last synced: 09 Apr 2026

https://github.com/paulo-santos-ds/rotatividade_de_clientes

A operadora de comunicações InternetGO está interessada em prever a rotatividade de seus clientes (churn). Se for identificado que um usuário está planejando trocar de operadora, a empresa poderá oferecer códigos promocionais e opções de planos especiais para evitar a perda desse cliente.

catboost numpy pandas pyplot python seaborn sklearn

Last synced: 09 Apr 2026

https://github.com/vidhi1290/essay-quality-prediction-keystroke-analysis-with-randomforest

Explore the Essay Quality Prediction project—a machine learning model that predicts essay quality based on typing behaviors. Leveraging a Random Forest Regressor, this tool provides insights into writing processes. Connect with me on LinkedIn and find more projects on GitHub. Happy coding! 📝✨

essay-quality-prediction kaggle-competition machine-learning mean-square-error nlp-machine-learning numpy pandas random-forest random-forest-regressor scikitlearn-machine-learning seaborn sklearn

Last synced: 03 May 2026

https://github.com/mehraaaaa24/stockpriceprediction

A real-time web app that predicts stock prices using an LSTM model, visualizes data with moving averages, and allows user input for stock symbols.

jupyter-notebook keras lstm-neural-networks matplotlib numpy pandas python streamlit tensorflow yfinance

Last synced: 15 Feb 2026

https://github.com/theankurgoswami/study-notes

Notes of topics I study.😛

deep-learning-book linear-algebra numpy opencv pandas regular-expressions sql tensorflow

Last synced: 09 Apr 2026

https://github.com/xaxm007/nn-numpy

A Basic Logistic Regression Neural Network using NumPy and calculus.

critical-indulgence logistic-regression neural-network numpy study

Last synced: 19 May 2026

https://github.com/rhazra-003/flight_delay_predictor

A ML model to predict Flight Delays

azure-storage jupyter-notebook matplotlib numpy pandas scikit-learn seaborn

Last synced: 13 Apr 2026

https://github.com/letiziaia/dsp_2021

Basic Python code snippets for data science students

data-science numpy pandas python

Last synced: 09 May 2026

https://github.com/xenia101/local-outlier-factor

Deriving the Local Outlier Factor Score

algorithm algorithms classification local-outlier local-outlier-factor lof machine-learning numpy pandas python python3 sklearn sklearn-library

Last synced: 09 Apr 2026

https://github.com/salma-mamdoh/python

My journey in Learning Python

database hakerrank-solutions jupyter-notebook kaggle matplotlib numpy oops-in-python pandas problem-solving python seaborn sqlite

Last synced: 02 Apr 2026

https://github.com/mramshaw/ml_with_missing_data

How to handle missing or incomplete data

incomplete-data machine-learning matplotlib ml numpy pandas python python3 scikit-learn seaborn sklearn

Last synced: 07 Apr 2026

https://github.com/mr-chang95/ibm_recommendation_system

Data Science Project for Udacity's Data Scientist Program. Using Python in Jupyter Notebook.

experimental-design ibm-watson machine-learning numpy pandas recommendation-engine recommendation-system udacity-data-science-nanodegree

Last synced: 20 Apr 2026

https://github.com/ryanlevee/nexrad-mapbox-backend

Python and Flask backend services for the NEXRAD Mapbox Viewer

api async aws aws-s3 backend boto3 concurrency flask matplotlib multiprocessing nexrad noaa numpy pyart python pytz rest-api s3 unidata waitress

Last synced: 09 Apr 2026

https://github.com/rickymagner/nonlinear-gradient-descent

An example of using gradient descent to approximate noisy data sampled from a cubic curve.

matlab matplotlib numpy octave pandas python

Last synced: 09 Apr 2026

https://github.com/gaurav9364/credit-card-fraud-detection

Credit Card Fraud Detection using Machine Learning – A classification project that detects fraudulent credit card transactions using supervised learning, with data preprocessing, handling class imbalance, and model evaluation (ROC-AUC, Precision, Recall, F1-score).

googlecolab imbalanced-learn matplotlib numpy pandas python scikit-learn seaborn xgboost

Last synced: 08 Apr 2026

https://github.com/reusjimenez/python-data-analysis

Casos completos y ejercicios prácticos de análisis de datos. 📊

data-analysis data-visualization jupyter-notebook machine-learning matplotib numpy pandas python sklearn

Last synced: 12 Apr 2026

https://github.com/yanboishere/Trade.with-SuperTrend.parameter

OKX API to confirm the process of appearance and disappearance of upper or lower limit lines for the super trend parameters in crypto trading pairs in TraderView, and perform multiple buying and selling transactions based on this parameter index.｜对于crypto交易对中 TraderView中的超级趋势参数出现以及消失上限线或下限线前后过程进行确认从而根据该参数指标的出现进行多次合约做多&做空开仓买卖（使用OKX api）

bitcoin blockchain bot btc crypto cryptocurrency cryptography numpy okx okx-api okx-sdk okx-v5 python talib trade trade-bot tradebot

Last synced: 22 Oct 2025

https://github.com/jimmymugendi/neural-network-for-binary-classification

aws neural-networks numpy pandas sagemaker tensorflow

Last synced: 09 Apr 2026

https://github.com/evardnk/dataanalyticsportfolio

Собрание моих проектов по аналитике данных

api automation data-analysis etl-pipeline jupyter-notebook jupyterlab kpis numpy pandas pipeline postgresql powerbi python sql visualization

Last synced: 17 Feb 2026

https://github.com/muhozgu/bi_image_classifier

Binary image classifier (dogs vs cats) using a convolutional neural network (CNN)

cnn computer-vision data-analysis data-analytics data-science data-visualization deep-learning keras machine-learning matplotlib numpy pandas pyhton pytorch seaborn tensorflow torchvision

Last synced: 07 Apr 2026

https://github.com/tynab/lottery

Xổ số kiến thiết

crawl da data-analyst deep-learning dl jupyter-notebook lottery matplotlib numpy pandas pip pip3 py python scikit-learn sklearn tynab xo-so xo-so-kien-thiet yan

Last synced: 03 Aug 2025

https://github.com/hanai/nb_quantopian

量化交易笔记

jupyter numpy pandas python quantitative tiingo

Last synced: 09 Apr 2026

https://github.com/hariprasath-v/mh_google_cloud_bigquery_ltv_prediction_challenge

Build a model that can predict customers' Long Term Value (LTV).

bigquery colab-notebook klib machine-learning matplotlib numpy pandas python python3 seaborn

Last synced: 09 Apr 2026

https://github.com/gallo13/neuralnetworks-deeplearning-image-classification-with-cnn

Explore the implementation of CNN with a color image dataset (Project 1)

cnn convolutional-neural-networks gpu-tensorflow jupyter-notebook keras keras-tensorflow numpy python scikit-learn seaborn tensorflow tensorflow2

Last synced: 07 Apr 2026

https://github.com/ankushmallick1100/django-insurance-premium-predictor-web-app

This is a web app where a user can signup to the website first and then login to access the website. Then, he/she can give their age, select his/her gender, bmi, number of children, select whether he/she is a smoker or not, and select his/her region. Gradient Boosting Regressor is used in this project which gives the best accuracy of 89.798.

bootstrap bootstrap5 css django gradientboosting gradientboostingregressor html insurance-prediction insurance-premium-predictor machine-learning matplotlib numpy pandas python regression regression-models sklearn tailwind tailwind-css tailwindcss

Last synced: 09 Apr 2026

https://github.com/kr1shnasomani/traffisense

A computer vision toolkit for traffic analysis with vehicle detection, speed estimation, segmentation, and number plate recognition.

computer-vision deep-learning neural-network numpy opencv pypi pytorch

Last synced: 12 Apr 2025

https://github.com/kientech/crop-recommendation-with-machine-learning

The Crop Recommendation with Machine Learning project is designed to assist farmers and agricultural professionals in selecting the most suitable crops for their specific environmental conditions.

fastapi machine-learning modeling numpy pandas python reactjs sklean

Last synced: 22 Mar 2025

https://github.com/willprice/arsenal

Personal arsenal of python utilities

data-science machine-learning numpy pandas personal-tools python

Last synced: 09 Apr 2026

https://github.com/bhargav-joshi/img-caption-generator

Automatically creating the description or caption of an image using any natural language sentences is a very challenging task. It requires both methods from computer vision to understand the content of the image and a language model from the field of natural language processing to turn the understanding of the image into words in the right order. In addition to that we have discussed how this model can be implemented on web and will be accessible for end user as well.

flask jupyter-notebook keras machine-learning nlp nltk numpy pandas python tensorflow

Last synced: 09 Apr 2026

https://github.com/aymen016/film-recommendation-engine

A machine learning-powered movie recommender system designed to provide personalized recommendations based on user preferences and data analysis. This project includes a backend recommendation engine, a Streamlit-based interface, and a web-based frontend for an enhanced user experience.

flask numpy pandas pickle python scikit-learn streamlit

Last synced: 09 Apr 2026

https://github.com/theanujsinha01/customer-segmentation-using-k-means-clustering

This project focuses on customer segmentation using the K-Means clustering algorithm. A user-friendly Streamlit dashboard allows users to upload their own dataset, choose any two numeric features (like age, income, or spending score), and perform clustering. The app dynamically visualizes customer groups, recommends the best number of clusters

jupyter-notebook k-means-clustering machine-learning matplotlib numpy pandas python seaborn streamlit unsupervised-learning

Last synced: 09 Apr 2026

https://github.com/lioccoumd/news-sentiment-analysis

This scrapes a variety of news stations websites for article titles and evaluates them using distilBERT pretrained model for sentiment analysis.

beautiful datasets distilbert news nltk numpy python pytorch reques scraping-websites sentiment-analysis transformers

Last synced: 16 Feb 2026

https://github.com/epsoft/image-augmentation

Image Augmentation

conv2d database datase dense image-augmentation matplotlib numpy os pyplot sequential tensorflow

Last synced: 06 Apr 2026

https://github.com/srgrace/data-cleaning-challenge

Data Cleaning Challenge

data-science jupyter-notebook numpy pandas python scikit-learn

Last synced: 09 Apr 2026

https://github.com/aakashks/ct-reconstruction-2d

Python Implementation of Computed Tomography (CT) reconstruction for 2D images

computed-tomography ct-reconstruction numpy

Last synced: 09 Aug 2025

https://github.com/priyanshgoantiya/ml-from-scratch-without-sklearn

This repository contains machine learning algorithms implemented from scratch using only NumPy—without relying on scikit-learn or other high-level ML libraries. The goal is to provide a deeper understanding of how fundamental machine learning models work under the hood by implementing them step by step.

numpy

Last synced: 15 May 2026

https://github.com/vedanty3/heart-disease-prediction

This project aims to build a machine learning model using K-Nearest Neighbor, LogisticRegression, RandomForestClassifier to classify whether or not a person has heart disease based upon his medical attributes. (accuracy achieved : 88.52%)

confusion-matrix correlation-matrices jupyter-notebook knn-classification logistic-regression machine-learning matplotlib numpy pandas python random-forest randomforestclassifier roccurve scikit-learn sklearn zerotomastery

Last synced: 09 Apr 2026

https://github.com/abhilash1910/deepgenerator

Sentence Sequence Transduction Library (Seq to Seq) for text generation using sequential generative Vanilla RNN using numpy

adagrad generativemodeling nlp numpy optimizer rnn seq2seq-model transduction vanilla-rnn

Last synced: 19 May 2026

https://github.com/nikorasu/snakeai

WIP project to use machine learning to play Snake!

ai deep-learning dqn educational machine-learning ml neural-network numpy pytorch q-learning reinforcement-learning snake-game supervised-learning supervised-machine-learning terminal

Last synced: 09 Apr 2026

https://github.com/kr1shnasomani/treetracer

Detection of trees from aerial image using detectron2

computer-vision deep-learning detectron2 neural-network numpy opencv pypi pytorch

Last synced: 05 Mar 2025

https://github.com/supriya811106/healthcare-recommedation-system

A Flask-based web app that predicts diseases based on symptoms and recommends specialized doctors. It uses machine learning for accurate health predictions and location-based doctor searches.

css flask-application healthcare-application html javascript machine-learning numpy pandas recommendation-system scikit-learn

Last synced: 04 Mar 2026

https://github.com/vmariiechko/python-image-processing

Raster graphics editor

desktop image-processing numpy opencv python

Last synced: 28 Apr 2026

https://github.com/syedaanif/ds-ml-pyhton

This repo contains learnings about Data Science and Machine Learning using Python

artificial-intelligence data-science machine-learning matplotlib numpy pandas plotly python seaborn

Last synced: 07 Apr 2026

https://github.com/ewertondrigues02/dados-do-covid-19

Análise exploratória dos dados do COVID-19 / de 22 de Janeiro de 2020 a 27 de Julho de 2020 em 188 países análise feita com as ferramentas como: jupyter Notebook, Google Colab, Excel, Power BI e bibliotecas: Pandas, Matplotlib, Numpy.

analise-exploratoria colab covid-19 covid19 dataframe folium folium-maps folium-python google-colab jupyter jupyter-notebook numpy pandas python3

Last synced: 02 May 2026

https://github.com/szilagyipeter99/imageprocessing

This repository contains the examples discussed in the Image processing practices.

classification image-processing machine-learning matplotlib numpy pillow python segmentation

Last synced: 18 May 2026

https://github.com/anas436/data-visualization-with-python

jupyterlab matplotlib matplotlib-pyplot numpy pandas python3

Last synced: 09 Sep 2025

https://github.com/devwithzain/tensorflow-learning

Learning Tensorflow

numpy tensorflow

Last synced: 19 May 2026

https://github.com/sidsurakanti/mnist-classification

realtime handwritten digit recognition & mnist digit classification from scratch w/ only maths and numpy

classification math ml mnist numpy

Last synced: 14 May 2026

https://github.com/drill-n-bass/data-analysis-projects

Projects related to my Data Analyst path.

analysis data-analysis data-visualization matplotlib matplotlib-pyplot mysql mysql-database numpy pandas pandas-dataframe pandas-library pandas-python python python3 seaborn seaborn-plots static-analysis statistics

Last synced: 07 Apr 2026

https://github.com/burhanahmed1/data-analysis-with-python

Data-Acquisition and Basic Insights, Data Wrangling, Exploratory Data Analysis (EDA), and Training Prediction Models(Machine Learning) on two datasets.

data-analysis data-aquisition data-insights data-science data-wrangling dataanalytics datascience-machinelearning eda exploratory-data-analysis machine-learning-models matlpotlib numpy pandas practice-programming prediction-model python scikit-learn scikitlearn-machine-learning seaborn

Last synced: 24 Feb 2025

https://github.com/khaymanii/wine-quality-prediction-model

This is a model built using Python and Random Forest Classifier which is an ensemble algorithm and also a supervised learning algorithm

matplotlib numpy pandas python sckit-learn

Last synced: 09 Apr 2026

https://github.com/eljandoubi/landmark-classification-tagging-for-social-media

a CNN-powered app to automatically predict the location of the image based on any landmarks depicted in the image.

cnn-classification numpy pytest pytorch transfer-learning

Last synced: 07 May 2026

https://github.com/abdullokhonz/python_lessons

Python lessons are here.

abramyan codewars eel flappy-bird gtts instaloader instasaver leetcode lessons numpy os pygame pyowm python python3 random telebot tkinter turtle

Last synced: 15 May 2026

https://github.com/ZauJulio/FeaturesAnalyzer

Python data analyze and machine learning tool

gtk machine-learning numpy pandas python sklearn

Last synced: 10 Aug 2025

https://github.com/akashshnkr/multi-disease-prediction

Developed and integrated three machine learning models for predicting diabetes, Parkinson's, and heart disease into a Streamlit-based web application. The interface allows users to input data and receive accurate health predictions, enhancing early detection and healthcare outcomes.

logistic-regression machine-learning-algorithms numpy pandas python scikit-learn streamlit-webapp svm

Last synced: 02 Jan 2026

https://github.com/zaaim-halim/image-processing

an implementation of different filters and operations on images using Numpy and little help from OpenCV and PILL

contour-detection corner-detection edge-detection filters image-processing numpy python3

Last synced: 20 May 2026

https://github.com/aarryasutar/logistic_regression_on_age_prediction

This code evaluates the performance of a logistic regression model on age prediction using various features to predict a binary target variable, calculating metrics to determine the performance. It evaluates the comparison, identifies favorable features, and visualizes the ROC-AUC curve to determine the best model performance.

accuracy-score confusion-matrix f1-score feature-selection logistic-regression model-training numpy pandas precision recall rmse roc-auc-curve scikit-learn visualization

Last synced: 20 Jan 2026

https://github.com/virajbhutada/article-recommendation-system

This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.

anaconda article-recommendation clustering-algorithm data-analysis data-science keras-tensorflow machine-learning machine-learning-algorithms ml-models numpy pandas plotly python scikit-learn scipy

Last synced: 06 Jan 2026

https://github.com/hedriss10/projetc-cardio

"Analise de dados sobre saúde"

jupyter-notebook matplotlib numpy pandas python

Last synced: 20 May 2026

https://github.com/khaymanii/parkinsons-disease-detection-model

This model was built with Python and Support Vector Machine Algorithm

matplotlib numpy pandas python scikit-learn

Last synced: 19 Apr 2026

https://github.com/gourab-sinha/instabot

This project is all about web scraping using Selenium, BeatifulSoup and Python Packages.

beautifulsoup matplotlib numpy pandas python3 selenium-python

Last synced: 06 Apr 2026

https://github.com/vidhi1290/hr_employee_prediction

"Welcome to the HR Employee Promotion Prediction project! This repository contains the code and resources for a machine learning project that focuses on predicting employee promotions. By analyzing various employee attributes, this project aims to provide valuable insights for HR decision-making and talent recognition within organizations.

data-exploration data-science data-visualization docker hr-employee-prediction hyperparameter-tuning machine-learning matplot model-building numpy pandas scikit-learn seaborn streamlit streamlit-webapp

Last synced: 13 Apr 2026

https://github.com/gauranshgoel123/predictive-demand-analysis

Demand Forecasting Project A web application for predicting future demand for part numbers based on historical data. Built with React for the frontend and FastAPI with Python for the backend, this application visualizes demand trends and allows users to input additional data for improved accuracy. In render analyzer is frontend analysis is backend

chartjs data-analysis data-science data-visualization dataset deployment full-stack machine-learning numpy pandas predictive-analysis prophet-model python reactjs render

Last synced: 13 Apr 2026

https://github.com/valmir-unicap/rastreamento-de-gestos-para-controle-video

Projeto final da disciplina de visão computacional

ctypes mediapipe numpy opencv python vlc

Last synced: 13 Apr 2026

https://github.com/ndohvich/car-price-prediction-eda-using-xgboost-regression

predict the price of sale car

jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python random-forest xgboost

Last synced: 28 Apr 2026

https://github.com/aditya-ranjan1234/1stsem-el-dataset-analysis

Netflix Dataset Analysis

beginner matplotlib numpy pandas python

Last synced: 18 Apr 2026

https://github.com/harmanveer-2546/supply-chain

Supply chain analytics is a valuable part of data-driven decision-making in various industries such as manufacturing, retail, healthcare, and logistics. It is the process of collecting, analyzing and interpreting data related to the movement of products and services from suppliers to customers.

customer-segmentation-analysis data data-analysis data-cleaning data-insights ggplot2 numpy pandas performance-evaluation predictive-analytics-for-business python risk-assessment sales-analysis statistical-analysis supply-chain tidyverse trend-analysis

Last synced: 10 Apr 2026

https://github.com/upul/indi

Small Machine Learning library written in Python

algorithms machine-learning numpy python scipy

Last synced: 10 Apr 2026

https://github.com/aahad91/idv

Interactive Data Visualization - Master Course

matplotlib numpy pandas plotly python3

Last synced: 08 May 2026

https://github.com/zensam7/easy_my_ai

Библиотека для создания ИИ, написана ПОЛНОСТЬЮ с нуля

genetic-algorithm library machine-learning neural-networks numpy q-learning

Last synced: 14 Feb 2026

https://github.com/otuemre/simplenet

A simple neural network framework built from scratch using Python and NumPy. Designed as a learning tool, SimpleNET includes essential layers, activation functions, and loss functions, enabling users to build and train basic neural networks from the ground up.

backpropagation deep-learning from-scratch machine-learning neural-network numpy python

Last synced: 13 Apr 2026

https://github.com/mdaiyub/covid-19-detection

The emergence of Coronavirus Disease 2019 (COVID-19) in early December 2019 has caused immense damage to health and global well-being. Currently, there are approximately five million confirmed cases and the novel virus is still spreading rapidly all over the world. The chest X-ray images along with emerging Artificial Intelligence (AI) methodologies, in particular, Deep Learning (DL) algorithms have recently become a worthy choice for early COVID-19 screening. This work proposes a DL-assisted automated method using X-ray images for the early diagnosis of COVID-19 infection. We evaluate the effectiveness of the pre-trained Convolutional Neural Network (CNN) model. The model has been validated on publicly available chest X-ray images and it is obtained by CNN with an accuracy of 97.26%. This study will be useful for researchers to think about the design of more effective CNN-based models for early COVID-19 detection.

backend early-stopping global keras matplotlib modelcheckpoint numpy os pandas tensorflow

Last synced: 02 Apr 2026

https://github.com/otivedani/hedge_hog

Histogram of Oriented Gradients, full numpy

feature-extraction histogram-of-oriented-gradients hog-features numpy

Last synced: 13 Apr 2026

https://github.com/zion-dev1/e-commerce-analysis

Short machine learning project which analyses customer behaviour 🔎

analysis clustering ecommerce machine-learning numpy pandas sklearn

Last synced: 05 Jul 2025

https://github.com/ishutak/disease_prediction

An AI-powered disease prediction system that uses machine learning to predict diseases based on symptoms. The system employs an ensemble of models including Random Forest and Neural Networks to provide accurate predictions with confidence levels.

css3 htlm5 javascript jquery numpy pandas pytorch scikit-learn select2

Last synced: 11 Apr 2026

https://github.com/localhostpib/pythonplayground

Playground of destruction :-D

bootstrap designpatterns docker flask html jupyter-notebook matplotlib numpy office365 pandas plone5 plotly pygal python rest-api schedule seaborn sharepoint tal totp

Last synced: 10 Apr 2026

https://github.com/datarohit/titanic-survival-data--classification

This is a Titanic Survival Data from Kaggle Competition with Multiple Classification Algorithm testing and Detailed Exploratory Data Analysis.

classification-algorithm kaggle-competition machine-learning-algorithms matplotlib-pyplot numpy pandas seaborn sklearn

Last synced: 10 Apr 2026

https://github.com/pvlbzn/kot-or-not

Logistic regression (shallow neural network) which predicts whether input image is a cat or not.

classification-algorithm image-classification logistic-regression machine-learning neural-network numpy

Last synced: 01 Mar 2025

https://github.com/yashika-malhotra/micromobility-service-provider---hypothesis-testing

Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts

colab-notebook data-visualization eda exploratory-data-analysis hypothesis-testing jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-library scipy-stats seaborn skit-learn

Last synced: 12 Apr 2026

https://github.com/petitgrizzlies/metaheuristiques

Travaux pratiques de meta heuristique. Unige 2016-2017

cffi cpp golang heuristic-algorithm matplotlib numpy python35

Last synced: 13 Apr 2026

https://github.com/arif-miad/blood-cell-image-classification-for-cancer-detection

cnn-model deep-neural-networks keras-tensorflow numpy pandas python seaborn sklearn

Last synced: 13 Apr 2026

https://github.com/nirmalyabag20/wine-quality-prediction-machine-learning

This project analyzes the chemical properties of wines to identify key factors influencing quality. By leveraging machine learning techniques, i aim to develop predictive models that accurately classify wine quality, providing valuable insights for producers and enthusiasts alike.

k-neighbors-classifier logistic-regression machine-learning matplotlib numpy pandas python random-forest seaborn svc

Last synced: 09 Apr 2026

https://github.com/yogeshnile/flight-delay-prediction

In this repo i developed predict a flight delay using machine learning.

flight-delay-prediction jupyter-notebook machine-learning numpy pandas python3 seaborn sklearn

Last synced: 13 Feb 2026

https://github.com/alainamariajoe/creditcard-fraud-detection

jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/fatma-moanes/machine-learning-labs

My implementation for the labs of the Machine Learning course that I studied in my university, Zewail City.

bootstrap data-analysis data-science deep-learning keras knn-classification linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib ml neural-networks numpy pandas pca preprocessing python seaborn svm-classifier

Last synced: 12 Apr 2026

https://github.com/mgobeaalcoba/matplotlib_y_seaborn

Aquí dejaré trabajos de visualización realizados con ambas librerías de Python.

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

Last synced: 13 Apr 2026

https://github.com/aminkhavari78/geoai-challenge-estimating-soil-parameters-from-hyperspectral-images-

Can you predict soil parameters from hyperspectral earth observation data?

dee keras matplotlib neural-network numpy pandas seaborn

Last synced: 13 Apr 2026

https://github.com/moindalvs/simple_linear_regression_1

Predicting Delivery Time Using Sorting Time

aic bic data-transformation f-statistics likelihood log-transformation matplotlib numpy ols-regression ordinary-least-squares pandas-dataframe pandas-library prediction predictive-modeling residuals rmse-score simple-linear-regression sklearn sklearn-library

Last synced: 17 Apr 2026

https://github.com/sarincr/introduction-to-pyqt5

PyQt5 is a comprehensive set of Python bindings for Qt v5. Qt is set of cross-platform Python libraries that implement high-level APIs for accessing many aspects of modern desktop and mobile systems.

app appdevelopment data-science kivy kivymd machine-learning numpy opengl pygui pyqt pyqt5 pyqt5-desktop-application pyqt6 pyside2 scipy tensorflow tkinter tkinter-graphic-interface tkinter-gui tkinter-python

Last synced: 13 Apr 2026

https://github.com/m-rishab/housing-price-prediction

The Housing Price Prediction Accuracy Improvement project is a data-driven initiative focused on enhancing the precision and reliability of housing price predictions. This project encompasses a multidisciplinary approach, combining data science, machine learning, and real estate insights to optimize the accuracy of forecasts in the housing market.

gridsearchcv hyperparameter-tuning matplotlib matplotlib-pyplot numpy pandas pickle python3 randomforestregressor scipy sklearn

Last synced: 11 Apr 2026

https://github.com/mnitin-reddy/reducing-review-overhead-with-ml-based-application-screening

A machine learning classification project to filter out low-probability visa applications using historical data. It features an end-to-end implementation with CI/CD on AWS, achieving 93% accuracy with a KNN model optimized through Optuna, alongside integration of MLOps tools like Evidently and MLflow.

aws docker githubactions hypothesistesting machinelearning matplotlib mlflow mlops mongodb numpy optuna pandas python scikit-learn seaborn