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Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
This repo has a basic CNN trained on cifar-10 dataset
This is a simple neural network code for beginners.
A python library for the Statistics Canada API
The goal of this project is to use data analysis to uncover actionable insights that align with core business objectives. By applying the CRISP-DM (Cross-Industry Standard Process for Data Mining) …
Graph theory to optimize the road transportation network of a retail company
A framework for land-use classification using open sourced python based geospatial modules.
All documents from AlexTheAnalyst YouTube videos
Notebooks and scripts for Medium publications: https://medium.com/@alexroz
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A race bar chart about unemployment per economic activity in Cyprus
The unravelsports package aims to aid researchers, analysts and enthusiasts by providing intermediary steps in the complex process of turning raw sports data into meaningful information and actiona…
How to make a bi-variate choropleth map with GeoPandas and Matplotlib?
By determining the optimal set of routes for a fleet of vehicles to serve a given set of customers, we can minimize total costs or distances traveled
andresberejnoi / bar_chart_race
Forked from dexplo/bar_chart_raceCreate animated bar chart races in Python with matplotlib
This software package allows for: 1) The creation of an urban network model, which links transport, streets and land use in one large graph. 2) The calculation of Neighbourhood Reach Centrality, a …
Code and Content for Manning Publication on Graph Neural Networks
Library to implement graph neural networks in PyTorch
Aphtasik / Graph-theory-algorithms-with-Python
Forked from aghezzafmohamed/Graph-theory-algorithms-with-PythonImplementation of graph theory algorithms from scratch using python
This repo will outline the process of constructing a bivarate choropleth map in python.
A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/
A curated list of Best Artificial Intelligence Resources
Package with useful functions to create geo-spatial visualizations from a GTFS.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A collection of tutorials for different machine learning tasks
High-level Python bindings to the Valhalla routing framework.