NumPy | Ecosyste.ms: Awesome

https://github.com/hanzopgp/transformerneuralnetwork

Building a transformer with Keras and TensorFlow following tutorial.

artificial-intelligence deep-learning jupyter-notebook machine-learning natural-language-processing numpy personal transformer

Last synced: 08 May 2026

https://github.com/alz-11/ftoc

Fahrenheit to Celsius conversion analysis, comparing accurate and approximate methods with visualizations and error analysis.

approximation celsius conversion data-visualization error-analysis fahrenheit fahrenheit-to-celsius jupyter jupyter-notebook matplotlib numpy python python-3 python3

Last synced: 08 May 2026

https://github.com/moustafamohamed01/data-analysis-ecommerce-purchases

Data Analysis : Analyzing (Ecommerce Purchases) dataset from Kaggle

jupiter-notebook numpy pandas python

Last synced: 08 May 2026

https://github.com/juanpablo70/pgad-assignment01

Breast Cancer Coimbra data set analysis

data data-science dataframe dataset jupyter-notebook matplotlib numpy pandas python

Last synced: 08 May 2026

https://github.com/filnow/tinygimp

project for image processing class

gimp numpy opencv pysimplegui python3

Last synced: 08 May 2026

https://github.com/sunnyrao07/water-quality-analysis

A machine learning project that predicts water potability based on chemical and physical attributes, using models like Logistic Regression, Random Forest, and XGBoost.

data-cleaning label-encoding logistic-regression matplotlib model-evaluation numpy pandas pyhton random-forest sckiit-learn seaborn smote standard-scaler xgboost

Last synced: 08 May 2026

https://github.com/dhruwsunita/zomato-data-analysis-project

Zomato data analysis project using Python.

data-analysis data-visualization jupyter-notebook matplotlib numpy pandas-dataframe python

Last synced: 08 May 2026

https://github.com/chdl17/credit-eda-casestudy

Credit EDA is a GitHub repository designed to provide educational materials and tools for exploring credit risk data. The repository contains notebooks, datasets, and code samples to help users learn and apply these concepts to credit data.

exploratory-data-analysis numpy pandas

Last synced: 08 May 2026

https://github.com/satvikpraveen/numpymasterpro

A hands-on, production-ready toolkit to master NumPy — from first principles to real-world applications. Includes modular Jupyter notebooks, reusable utility scripts, cheatsheets, and advanced projects like K-Means clustering from scratch.

broadcasting data-analysis data-science data-source data-visualization jupyter-notebook kmeans-clustering linear-algebra machine-learning matrix-algebra numerical-computation numpy numpy-broadcasting numpy-examples numpy-tutorial open-source python scientific-computing standardization vectorization

Last synced: 08 May 2026

https://github.com/krish57-bit/sentiment-analysis-using-bert

Sentiment analysis using NLP techniques and BERT Model

matplotlib natural-language-processing nlp nltk numpy pandas seaborn sentiment-analysis

Last synced: 08 May 2026

https://github.com/nova-land/kalmanfilter-python

Kalman Filter in PyTorch and Numpy

kalman-filter numpy python pytorch

Last synced: 08 May 2026

https://github.com/amiralisajadi/image-classification-neural-network

Custom deep learning model for binary image classification. Entirely built from scratch in Python with NumPy, including all ML functions, activations, and optimizations.

deep-learning image-classification image-classification-model machine-learning neural-networks numpy

Last synced: 08 May 2026

https://github.com/shaulamarquez/data-job-market

This is a Data Job Market analysis

analysis matplotlib numpy python seaborn

Last synced: 09 May 2026

https://github.com/jashmit918/image-caption-generator

Image Caption Generator

image-to-text matplotlib numpy pillow python streamlit torch transformers

Last synced: 09 May 2026

https://github.com/raghavendranhp/predictive-analytics-in-automotive-manufacturing-testing-time-optimization

Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.

elasticnet extratreesregressor fastica model-pipeline numpy pandas pca randomforestregressor svr-regression-prediction xgboost

Last synced: 09 May 2026

https://github.com/avinashkrishna07/plant-disease-prediction-cnn-deep-leanring-project

Plant Disease Prediction with CNN - Deep Learning Project

cnn-for-visual-recognition docker keras-tensorflow machine-learning numpy streamlit-webapp

Last synced: 09 May 2026

https://github.com/jsnevt/series_temporais

Previsão de eventos que ocorrem sazonalmente

datetime matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/sameerjain/ai-snake-game

Implemented a Q-learning agent to play and learn the classic Snake game, leveraging PyTorch for Neural Network. Visualized using Matplotlib, showcasing agent's evolving performance over time. Built UI using Pygame to visualize Snake, including food, and current score.

anaconda conda matplotlib neural-network numpy pygame python3 pytorch q-learning

Last synced: 09 May 2026

https://github.com/normyee/chatbot-pytorch_nlp

ChatBot utilizing neural networks, NLP techniques, and the Bag of Words model. Implements tokenization and stemming for efficient language processing.

bag-of-words chatbotai neural-network nlp-machine-learning nltk-python numpy python pytorch-nlp

Last synced: 09 May 2026

https://github.com/jupfu/beck-view-digitalize

Digitalize 16mm films with Python & reactivex & FT232H

cython ft232h libpng multiprocessing numpy opencv python3 reactivex um232h

Last synced: 09 May 2026

https://github.com/kemalcalak/developing-driverless-vehicles

This project includes the software required for an autonomous vehicle

numpy object-detection opencv segmentation yolo

Last synced: 09 May 2026

https://github.com/mahmood-anaam/deterministic-dynamic-programming

This repository explores deterministic dynamic programming solutions for the Shortest Path Problem (SPP) and the Traveling Salesperson Problem (TSP). It includes graphical representations, a detailed Jupyter notebook, and practical implementations for optimizing travel routes and minimizing costs in various city-based scenarios.

dynamic-programming graph-theory jupyter-notebook numpy python shortest-path-problem traveling-salesperson-problem

Last synced: 09 May 2026

https://github.com/dhruvv1402/x-twitter-bot-python

A Python-powered Twitter bot for content generation, analytics, and automation using Twitter API v2.

huggingface-transformers matplotlib nltk numpy pandas pillow python requests schedule textblob threading tweepy twitter-api wordcloud

Last synced: 09 May 2026

https://github.com/rishieeee/spam-email-classifier

A simple machine learning project that classifies emails as spam or ham using TF-IDF and a Multinomial Naive Bayes model. The project covers data cleaning, text preprocessing, feature extraction, model training, and evaluation. A great beginner-friendly introduction to NLP and ML workflows.

multinomial-naive-bayes numpy pandas python sckit-learn tf-idf

Last synced: 09 May 2026

https://github.com/aliyahscoding/tiny-recommender

Tiny item-item recommender in Python using cosine similarity over a toy user–item matrix. Simple CLI to print top-N recommendations.

collaborative-filtering cosine-similarity numpy pandas python recommender-system

Last synced: 09 May 2026

https://github.com/omogbolahan94/nobel-prize-winner-analysis

Data exploration, cleaning, visualization and presentation

markdown matplotlib numpy pandas plotly seaborn

Last synced: 09 May 2026

https://github.com/flexthink/matricize

A convenience library to convert between pure Python objects and their vectorized representations

data machine-learning numpy python

Last synced: 09 May 2026

https://github.com/ishaj72/analysis_model2

Dataset analysis model using matplotlib and other libraries

machine-learning matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/kingsley-ezenwaka/mean-var-std

This is a (mini) Python project, completed as part of the requirements for the Data Analysis with Python certification from freeCodeCamp.com.

numpy python

Last synced: 09 May 2026

https://github.com/amr-yasser226/pagerank-power-method

Modular Python implementation of the PageRank algorithm via the power method, with discrete‑math foundations, end‑to‑end code, and experimental validation.

discrete-mathematics graph-algorithms markov-chain network-analysis networks numpy pagerank power-method python scipy

Last synced: 09 May 2026

https://github.com/shaikats/python-assignment

Simulation and Modeling Lab assignments using Python, NumPy, Matplotlib, and Jupyter Notebook.

jupyter-notebook matplotlib numpy python simulation-modeling

Last synced: 09 May 2026

https://github.com/sivasurya681/financial-expense-tracker

The Financial Expense Tracker is a Python-based app built with Flet, Pandas, NumPy, and Matplotlib.pyplot for seamless expense management. It enables real-time tracking, categorization, and data visualization through bar and pie charts. Users can generate summaries, export/import data, and make informed financial decisions easily.

calculator-application differntial expense-tracker flet matplotlib-pyplot numpy pandas python salary-calculator total

Last synced: 09 May 2026

https://github.com/khaymanii/credit-card-fraud-detection-model

This model was built using python and Logistic Regression Machine Learning algorithm

matplotlib numpy pandas python sckit-learn

Last synced: 09 May 2026

https://github.com/raduldev/datasciencepython

Interview Task From CSIR-IGIB, Delhi & maps for journal

biopython colab-notebook counter jupyter-notebook matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/anker661/autograd-playground

A simple Numpy & Python based auto differentiation system that supports visualization before and after back-propagation.

auto-differentiation autograd computaion-graph jupyter-notebook numpy python3

Last synced: 09 May 2026

https://github.com/dmalexx/lab1_computervision

Computer Vision Intro

matplotlib matplotlib-python numpy opencv rgb

Last synced: 09 May 2026

https://github.com/betiniakarandut/portfolio-project

Sukkar and Cornell Integral Approach to Estimate Static Bottom Hole Pressure(SBHP)

numpy pandas python3

Last synced: 09 May 2026

https://github.com/alexgustafsson/word-frequencies

Data and tools to compile word frequencies, trigrams and more for use with NLP, spelling correction etc.

language nlp nltk numpy python python3 sklearn spelling-correction trigram

Last synced: 10 May 2026

https://github.com/tim-w-james/python-data-reference-code

Python reference code for data visualization, machine learning and SQL

data-science jupyter-lab numpy python

Last synced: 10 May 2026

https://github.com/dawoudtormos/rain_predicition_ml

This repository contains a machine learning project for rain prediction using historical meteorological data. The goal is to predict whether it will rain the next day based on weather measurements like atmospheric water vapor, cloud formation, and past rainfall records.

ai machine-learning machine-learning-algorithms matplotlib numpy seaborn sklearn

Last synced: 10 May 2026

https://github.com/dzakarias/waves

Fun with the sine function inspired by Chladni plates

numpy streamlit

Last synced: 10 May 2026

https://github.com/jupfu/beck-view-movie

Assemble mp4 video from list of images

multithreading numpy opencv python3 threadpool tqdm

Last synced: 10 May 2026

https://github.com/jjerphan/joml

A minimalist numpy-baked Neural Network API

deep-learning fun minimalist neural-network neural-networks numpy python wheel-implementing

Last synced: 10 May 2026

https://github.com/florasteve/ml-foundations-day2

Day-2 ML foundations: probability/stats refresh and NumPy logistic regression; notebooks with visuals.

data-science jupyter-notebook logistic-regression machine-learning matplotlib numpy statistics

Last synced: 10 May 2026

https://github.com/pravalika-hub11/marketing

CHECKIG

matplotlib-pyplot numpy pandas python

Last synced: 10 May 2026

https://github.com/andersoncrs/aprendizaje_no_supervisado_kmeans_customers

Este repositorio contiene un análisis de datos de clientes de un centro comercial utilizando técnicas de aprendizaje no supervisado, específicamente K Means y clustering jerárquico. El objetivo del proyecto es segmentar a los clientes en grupos homogéneos para entender mejor sus comportamientos y características.

data-analysis kmeans-clustering matplotlib numpy seaborn visualization

Last synced: 10 May 2026

https://github.com/relostar-devil/census-income-prediction

An end-to-end ML project using 1994 US Census data to classify income (>50K/<50K). The Jupyter Notebook covers data preprocessing, EDA, and model evaluation with multiple classifiers.

matplotlib numpy pandas scikitlearn-machine-learning seaborn

Last synced: 10 May 2026

https://github.com/gatuno1/details_meson_numpy_error

Documents for exploration of meson error on numpy installation over PyPy on Windows

meson numpy pypy unicode windows

Last synced: 11 May 2026

https://github.com/monarch1108/customerinsights-kmeans

understanding customers using KMeans and RFM(recency, frequency & monetary) analysis

data-analysis data-visualization kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn

Last synced: 11 May 2026

https://github.com/parthds02/customer-segmentation-with-kmeans-clustering

Analyze customer behavior using Python and KMeans Clustering on transactional data. Features RFM analysis, data cleaning, clustering insights, and actionable visualizations to support business decision-making.

data-analysis data-visualization feature-engineering kmeans-clustering numpy pandas vscode

Last synced: 11 May 2026

https://github.com/omogbolahan94/google-play-store-app-analysis

Data exploration, data cleaning, interactive data visualisation and insight presentation

matplotlib numpy pandas plotly

Last synced: 11 May 2026

https://github.com/samuel-schlemper-schlemuel/calculadora-de-media-variancia-e-desvio-padrao

Esse é um projeto do currículo do curso de analise de dados do FreeCodeCamp

numpy python

Last synced: 11 May 2026

https://github.com/daksh90a/wine-quality-analysis

The Wine Quality Analysis project is an AI/ML-based data analysis initiative aimed at predicting and understanding the factors that influence the quality of wine.

matplotlib-python numpy pandas seaborn

Last synced: 12 May 2026

https://github.com/chandkund/movie-recommender-system

Unlocking the magic of personalized movie recommendations! This project uses the Cosine Similarity Algorithm to suggest movies based on user-selected titles, making movie discovery more enjoyable.

Last synced: 12 May 2026

https://github.com/jsnevt/knn_neighborhood

ML - classificação por vizinhança

kneighborsclassifier matplotlib numpy pandas seaborn

Last synced: 13 May 2026

https://github.com/prathicashettym/agriculturallanddetection

6th Semester SDG EL

flask keras matplotlib numpy pandas python seaborn streamlit tensorflow

Last synced: 13 May 2026

https://github.com/neelimabonangi/defect-detection-hot-rolling

Defect Detection in Hot Rolling Using Machine Learning

classification data-analysis data-science defect-detection jupyter-notebook machine-learning manufacturing numpy pandas predictive-analytics python random-forest scikit-learn

Last synced: 12 Jun 2026

https://github.com/pnguyen215/pycelize

Pycelize is a Flask application designed for processing Excel and CSV files. It provides RESTful APIs for common data operations including extraction, normalization, mapping, SQL generation, and file binding.

excel lib numpy openpyxl pandas py-app pycelize python-service python3

Last synced: 17 Jun 2026

https://github.com/dino-kupinic/pocolocosolver

algorithmic solution with 3D visualization

algorithms numpy panda3d puzzle pytest python solver

Last synced: 19 Jun 2026

https://github.com/harshavardhanbommalata/knn_tutorial

K-Nearest Neighbors (KNN) is a simple yet powerful machine learning algorithm. Unlike models that learn parameters during training, KNN uses lazy learning—it stores the dataset and predicts by finding the closest neighbors, making decisions through majority voting.

machine-learning-algorithms mathematical-modelling matplotlib numpy pandas

Last synced: 20 Jun 2026

https://github.com/takana671/fluidcube

Particle Movement Using Curl Noise

curl-noise cython numpy panda3d python

Last synced: 22 Jun 2026

https://github.com/no0bitah/pdf-highlight-extractor

A Python tool for extracting highlighted text from PDF files while preserving formatting attributes (headers, bold, italic) and removing unwanted line breaks and page breaks. Perfect for integrating with content management systems.

automation crm documentation-tool numpy opencv pdf pdf-document-processor pillow pymupdf pypdfium2 python3 scrapping

Last synced: 23 Jun 2026

https://github.com/gyselle-marques/sobel-filter

Machine Learning: Image Processing with Sobel Filter.

colab-notebook image-processing machine-learning matplotlib numpy opencv python sobel sobel-filter

Last synced: 24 Jun 2026

https://github.com/syed-m-nofel/python-data-science-fundamentals

Python notebooks for data manipulation (Pandas/NumPy) and API workflows – from basics to practical examples.

api beginner-friendly data-analysis data-science http-requests jupyter-notebook numpy pandas pandas-dataframe python tutorial

Last synced: 03 May 2026

https://github.com/charlenry/python_data_science

Mes notebooks de travaux pratiques sur Python pour la Data Science

analysis data dataframe jupyter kaggle matplotlib notebook numpy pandas pyplot python science seaborn visualisation

Last synced: 25 Jun 2026

https://github.com/asayda01/airport_operations_analytics

The project analyzes the performance of Hold Baggage Screening X-ray Machines, identifying trends in system load, bottlenecks, and operator efficiency. Using an interactive Streamlit app, users can explore data-driven insights to optimize airport screening processes and improve overall operational performance.

data-science dataanalysis datainsights datavisualization numpy pandas python streamlit

Last synced: 03 May 2026

https://github.com/coderooz/handwritten_digit_recognition

This project uses a Convolutional Neural Network (CNN) to recognize handwritten digits from the MNIST dataset. The model is built using TensorFlow and Keras.

colab handwritten-digit-recognition image-classification matplotlib neural-network numpy python tensorflow

Last synced: 03 May 2026

https://github.com/takana671/noisetexture

Generating noise texture images.

cellular-noise cython domain-warping fractal noise-textures numpy periodic-noise perlin-noise python3 simplex-noise tileable-noise value-noise voronoi

Last synced: 03 May 2026

https://github.com/nicolashaubricht/analise-dados-pib-per-capita

Este projeto tem como objetivo a análise de dados sobre as variações do PIB per capita em diversos países ao longo dos anos.

numpy pandas plotly python

Last synced: 03 May 2026

https://github.com/atchayaah/home-value-insights-kc

Data-driven project predicting King County housing prices using EDA, regression models, and ML techniques, developed as part of IBM’s Data Analysis with Python course on Coursera.

joblib matplotlib numpy pandas pickle python scikit-learn seaborn

Last synced: 03 May 2026

https://github.com/akashparley/ipl-data-analysis

The IPL Data Analysis project focuses on extracting valuable insights from IPL match data using various data analytics techniques. By analyzing historical match outcomes, player performances, team comparisons, and venue statistics, the project visualizes trends and patterns through graphs like bar charts, line graphs, and scatter plots.

analytics data-visualization excel metplotlib numpy pandas python seaborn tableau-dashboards

Last synced: 04 May 2026

https://github.com/sohamrider786/house_price_predictor

A machine learning project to predict house prices based on various property features using advanced regression techniques. This project demonstrates end-to-end model development, including data preprocessing, feature engineering, model training, evaluation, and visualization.

machine-learning matplotlib-pyplot numpy pandas random-forest-regression sklearn-library

Last synced: 04 May 2026

https://github.com/yareva/linear-regression-predictor

Linear Regression Predictor Model

matplotlib numpy pandas python sckit-learn

Last synced: 04 May 2026

https://github.com/dr-rompecabezas/medical-data-visualizer

[freeCodeCamp] Medical Data Viz Jupyter Notebook built with Matplotlib and Seaborn

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 04 May 2026

https://github.com/timothyjan/intro-machine-learning-polynomial-regression

We use NumPy to implement vectorized linear and polynomial regression models and compare their performance using separate training and test sets.

numpy

Last synced: 04 May 2026

https://github.com/dmdlgg/calculadora_de_indicadores_estatisticos

Uma calculadora que retorna a média, mediana, desvio padrão, quartis e variância dos dados inseridos pelo usuário. Tecnologias utilizadas: Flet, Python e Numpy. (Ainda em andamento)

flet numpy pyhton

Last synced: 04 May 2026

https://github.com/mchenryspagg/investigate_a_dataset

This is a data analysis project that demonstrates the student's ability to use python data analysis libraries such as pandas, numpy and pyplot in matplotlib to investigate a dataset and answer specific questions from the dataset, thus demonstrating skills in data cleaning, data wrangling, and exploratory data analysis.

data-analysis datetime descriptive-analysis descriptive-statistics exploratory-data-analysis numpy pandas pyplot python visualization

Last synced: 04 May 2026

https://github.com/miozilla/fescarefine

fescarefine :skier::mount_fuji::guide_dog: : Refine & Test ML Models # Features Scaling # Normalization # Datasets

gradient-descent linear-regression matplotlib model-testing mse norm numpy ols overfit pandas scatter seaborn sklearn standardization statsmodels underfit

Last synced: 04 May 2026

https://github.com/florianwoelki/salary_linear_regression

This project is for salary prediction using linear regression without any machine learning library.

jupyter linear-regression machine-learning matplotlib numpy pandas python regression

Last synced: 04 May 2026

https://github.com/cheese23456/ai-based_stock_analysis_and_portfolio_optimisation

📈 Analyze stocks and optimize portfolios with AI-driven insights, technical indicators, and clear investment signals for informed decision-making.

ai asset-allocation financial-analysis huggingface-spaces numpy pandas portfolio-optimisation python scipy-optimize streamlit

Last synced: 04 May 2026

https://github.com/mohammadmahdi-abdolhosseini/data-analysis-and-ai-courses

Artificial Intelligence + Engineering Probability & Statistics courses projects

classification data-visualization genetic-algorithm jupyter-notebook machine-learning matplotlib minmax-alpha-beta-pruning neural-network numpy pandas python

Last synced: 04 May 2026

https://github.com/jonad/titanic_exploratory_analysis

Exploratory Data Analysis on Titanic Dataset

jupyter-notebook numpy pandas python3

Last synced: 04 May 2026

https://github.com/charlenry/machine_learning_estimer_prix_voiture

Projet de Machine Learning pour estimer le prix d'une voiture d'occasion via une application

joblib jupyter-notebook matplotlib-pyplot numpy oop-python pandas plotly-express python sklearn-linear-model sklearn-linear-regression

Last synced: 04 May 2026

https://github.com/florasteve/ml-foundations-day1

Day-1 ML foundations focused on linear algebra: vectors, dot products, norms, angles, projections, and basic matrix operations—implemented in a Jupyter notebook with NumPy/Matplotlib, clear 2D visuals, a self-quiz, and a brief reflection. Emphasizes how these math primitives map to core ML/AI ideas (similarity, least squares, geometric transforms).

ai data-science education jupyter-notebook linear-algebra machine-learning matplotlib numpy python3 terminal-mac tutorial visualization vscode

Last synced: 04 May 2026

https://github.com/sugha22/data_analysis

Actively upskilling in data science with hands-on learning during a Green Internship focused on environmental sustainability. Used Pandas and NumPy for data preprocessing and cleaning, and created visual dashboards in Excel and Tableau. Gained experience in interpreting sustainability metrics and communicating insights through data storytelling and

data-cleaning data-collection data-storytelling data-transformation excel numpy pandas preprocessing sustainability-metrics tableau-dashboards visualization

Last synced: 04 May 2026

https://github.com/secary/maths7027

Mathematical Foundations of Data Science

latex mathematics numpy pandas

Last synced: 04 May 2026

https://github.com/saifalibaig/crop-yield-prediction

🌾 A machine learning-based crop production prediction system using historical Indian agricultural data with advanced regression models and hyperparameter tuning.

eda feature-encoding feature-selection kaggle-dataset lasso-regression linear-regression matplotlib-pyplot numpy onehot-encoding pandas python3 ridge-regression seaborn simpleimputer xgboost-regression

Last synced: 04 May 2026

https://github.com/pedasoft-consult/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 numpy pandas python seaborn sklearn

Last synced: 04 May 2026

https://github.com/anas436/house-sale-prices-prediction-using-python

jupyter-notebook linear-models linear-regression matplotlib model-selection numpy pandas polynomial-features python3 ridge seaborn sklearn-pipeline standardscaler

Last synced: 04 May 2026

https://github.com/swarup-ranjan-mondal/chat-analyzer

A streamlit app to analyze whatsapp personal and group chats.

matplotlib numpy pandas python seaborn streamlit

Last synced: 04 May 2026

https://github.com/rtgrt5645/numpy-lab

🧮 Explore, manipulate, and visualize data with NumPy to enhance your Python skills in scientific computing and data analysis.

array-operations data-analysis data-science jupyter-notebook machine-learning numerical-computing numpy numpy-arrays numpy-library numpy-python python python3 scientific-computing

Last synced: 04 May 2026

https://github.com/manuethomas/credit-default-risk-analysis-eda

This repository contains the detailed EDA analysis of Home Credit Group Dataset. The analysis aims to find demographic and financial factors associated with higher or lower default risks, providing actionable insights for risk mitigation and improved lending practices

bivariate-analysis correlation-analysis data-preprocessing exploratory-data-analysis exploratory-data-visualizations matplotlib numpy pandas seaborn univariate-analysis

Last synced: 04 May 2026

https://github.com/abhinav330/911-emergency-calls-analysis

This Python Notebook analyzes emergency call data from the '911.csv' dataset. It uses various data visualization techniques to explore and gain insights into the emergency call data, including the types of calls, reasons for calls, and call patterns over time.

data-analysis data-science data-visualization eda exploratory-data-analysis exploratory-data-visualizations numpy pandas python

Last synced: 09 Jun 2026

https://github.com/abhishekyadav915/e-commerce-sales-analysis

E-Commerce Sales Analysis is a data analysis project that explores sales data from an e-commerce platform to uncover insights and trends. The analysis includes visualizing sales performance, customer behavior, and product trends to help optimize business strategies and improve customer satisfaction.

matplotlib-pyplot numpy pandas-library plotly python3

Last synced: 04 May 2026

https://github.com/alphan26/optimal-logistics-locator

This is a project in which we estimate the biomass avaibility of places due to their index and determine the optimal preprocessing depot and biorafinery in Gujarat, India

numpy pandas python sckit-learn

Last synced: 04 May 2026