Apprendre les concepts de Machine Learning et pour explorer différentes techniques de modélisation , améliorer la précision du modèle et apprendre davantage sur les techniques de Machine Learning.

Software that filters and provides a visualization of a filtered list of graphs according to the properties given by the user.

Utilizing Python to perform exploratory data analysis on multiple datasets regarding species conservation status to identify patterns or trends within endangered species.

A high-level app and dashboarding solution for Python

100 days journal - to keep yourself accountable (multiple languages available)

A curated list of various Matplotlib resources

Clash Royale players statistics

PyComplexHeatmap: A Python package to plot complex heatmap (clustermap)

A library to create interactive maps of geographical datasets

Create a machine learning model to make predictions about a customer based on previous behaviors and demographic features. Can customer feature demand (lifetime purchase) be accurately determined?

A repository containning the assets for the data science cycle for predicting fire-risk levels for the greater city of Montreal. Six datasets were leveraged for this project including fire incidents, crimes, property assessments, demographics and weather conditions. Python libraries, Tableau and Excel were leveraged for this project.

Analyse gpx tracks of city bike rides to find the optimal cruise speed. Optimal means fastest ride without long waiting on stop lights.

Tutoriales de Python para el análisis de datos en el curso IE0405 - "Modelos Probabilísticos de Señales y Sistemas" de la Universidad de Costa Rica.

🎨 A succinct matplotlib wrapper for making beautiful, publication-quality graphics

Calculates four point moving averages for a graph.

Using matplotlib to visually analyze mouse treatment studies.

Projets du parcours Data Analyst OC

Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon

computer algebra system in python

Predicting Tehran stock market index based on historical index, gold, brent oil, and dollar prices

This Repository Contains all the Code and Other ConceptNotebooks that i Have Written While Learning Machine Learning from Hands on ML Book.

Supervised Machine Learning

Daily code in Python

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

Contains code snippets from the languages/libraries I'm currently developing in.

Kaggle Struggle

matplotlib: plotting with Python

The Diabetes Prediction ML project aims to develop a machine learning model that can predict the likelihood of an individual developing diabetes based on certain risk factors such as age, weight, blood sugar level, family history, and lifestyle habits. This project can be used by healthcare professionals to identify high-risk patients and provide e

🐍 Materiály, Zdrojové Kódy, Prezentácie ku kurzom SAV Python, OOP, R, Analytika

Data Analytics for PropTech. Includes EDA + visualizations, data engineering, listings deduplication, competitiveness metrics, correlation analysis, ML + DL models for regression, SHAP for AI Explainability.