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Applied Machine Learning in Python: a hands-on Guide with Code - free, online e-book by Professor Michael J. Pyrcz at The University of Texas at Austin.
Applied Geostatistics in Python: a hands-on Guide with GeostatsPy - free, online e-book by Professor Michael J. Pyrcz at The University of Texas at Austin.
This repository contains a collection of 50 hands-on Python projects ranging from beginner to intermediate level. The projects cover a wide variety of applications including QR code generation, ema…
Repository for my Python Crash Course YouTube tutorial series.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Join the Data Science Tribe! Let's embark on this exhilarating journey together! Ready to join the #100DaysofDataScience adventure? Comment below if you're joining the challenge, and don't forget t…
Guided course to crash into the most basic ML algorithms.
For Data Enthusiasts Statistics Cheatsheet 2024
This is a repository to save code and posts of 100 Days of Datascience Linkedin Series
Python tutorials for Geology students and professionals.
Welcome to my #100daysofDataScience challenge repository
Arquivos das aulas de Machine Leaning em Português (python + scikit-learn - https://www.youtube.com/playlist?list=PL4OAe-tL47sb3xdFBVXs2w1BA2LRN5JU2_)
Como dito: aqui estarão os arquivos d'O Melhor Curso de Python
Arquivos das aulas de Pandas em português
Break the linear presentation of Jupyter Notebooks with sticky cells!
A collection of the code I have written for my YouTube tutorials.
This Repository contains the solutions of the Python Coding Challenges from Coderbyte
Ridgeline Plot in Python Video Tutorial
This repo contains the implementation of netflix's original recommender system based on matrix factorization which changed the recommender systems forever 10 years back. Delve in to the notebooks t…
I've built a custom neural network with NumPy for classification. It's flexible, supporting various layers, neurons, activations, and uses gradient descent for training. Ideal for deep learning und…
In this repository you'll find Data Science Projects
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data