pandas

Fundamental theory and practice in Data Science (DS). 🧮

Materials on various sections in Computer Science (CS). 🎓

Practical tasks on Deep Learning (DL) and Neural Networks (NN). 🤖

A not-so comprehensive guide bridging linear algebra theory with practical data science implementation. Meant to be used as a learning resource for someone with a strong linear algebra background. This project demonstrates how fundamental linear algebra concepts power modern machine learning algorithms, with hands-on Python implementations.

Supervised learning pipeline for rare event operational failure prediction, integrating leakage resistant preprocessing, class weighted modeling, precision recall threshold calibration, ROC AUC benchmarking, and permutation based feature importance to analyze production stress drivers.

Projet d’analyse du comportement des utilisateurs Instagram à partir d’un large dataset synthétique (plus d’un million d’utilisateurs).

Le projet explore :

Analyse exploratoire des données (EDA) Prédictions de variables comportementales (stress, âge, clics publicitaires, revenu) Identification de profils utilisateurs avec clustering (KMeans) Interprétation des résultats statistiques en lien avec la vie réelle

Méthodologie : visualisation, corrélations, sélection de modèles, entraînement, évaluation et interprétation.

Technologies : Python, Pandas, NumPy, Matplotlib, Scikit-learn, Jupyter.

Projet réalisé dans le cadre de la formation Développeur en Intelligence Artificielle (Simplon).

A pandas DataFrame with DataFrame index and columns!

📊 End-to-end marketing data analysis project using Python and Jupyter Notebook. 🔍 Focused on customer demographics, spending behavior, and campaign performance. 📈 Includes data cleaning, EDA, visualization, and actionable business insights.

Desktop app that converts soil element concentrations data from ICP-OES and ICP-MS to a LIMS-compatible format.

Bu programın amacı, İKYS Sisteminde bulunan verileri baz alarak, KBS Sisteminde hata olup olmadığını kontrol etmek amacıyla yazılmıştır.

Read ODS files into a pandas DataFrame while preserving direct formatting (bold, italic, underline) as markup (AsciiDoc, Markdown, HTML).

This repo will have all resources, labs, data which I use/d on Kaggle Network

Reads in a csv file (uploaded to Amazon S3 bucket) as a pandas dataframe. Performs basic data transformations and adds a column with flags based on ranges in temperature values in the dataframe. Uploads a copy of the modified data as a csv file in a different bucket. Emails list of recipients with a presigned URL to download the object.

IndyPy: Automate Spreadsheets talk on 2021-10-12. https://meetingplace.io/indypy/events/4798

Python Web Conference 2022 Let's Forget About Excel: Conda + Jupyter + Pandas to Leave Office Behind

Plática "Olvidate de Excel, bienvenido pandas" en Nerdearla México 2024 del 2024-11-07. https://nerdear.la/en/agenda/olvidate-de-excel-bienvenido-pandas/

NetscapeGen: A cross-platform Python GUI utility that converts structured Excel spreadsheets into standard Netscape HTML bookmark files. It automatically detects nested folder hierarchies from spreadsheet columns and generates a universal file compatible for import into Chrome, Firefox, Safari, and Edge.

Solución end-to-end para la migración y análisis de datos utilizando Python, FastAPI, Kafka y PostgreSQL. Implementa un pipeline de datos asíncrono y una API RESTful para analíticas, todo completamente containerizado con Docker Compose para un despliegue fácil y reproducible.

Python library to convert ros message streams to pandas dataframes.