Américo Alves's repositories
awesome
collection of awesome lists
awesome-chatgpt-prompts
This repo includes ChatGPT promt curation to use ChatGPT better.
awesome-gcp-certifications
Google Cloud Platform Certification resources.
BooksForGeeks
Collection of useful books for Geeks. Not a Geek? Be a Geek!
cloudml-samples
Samples for Google Cloud Machine Learning Engine
Data-Science--Cheat-Sheet
Cheat Sheets
data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
DataAnalysisWithExcel
GitHub repo for Dave Langer's YouTube tutorials on data analysis with Excel
gcp-certifications
gcp-certifications
Getting-Started-in-R
An 8 page guide to starting with R - Tidyverse Edition
Please like, share and subscribe to our youtube channel codequickie where we go hands on and in-depth with the projects outlined in this repo
graph_simulations
Synthesising graphs and simulating things
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
how_to_learn_ds_meetup
The materials from the How to learn data science meetup
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
jdemetra-app
JDemetra+ desktop application
ml-pima-notebook
Experiments with Pima Indians Diabetes dataset and Machine Learning
multi-layer-neural-network
A multi layer neural network written in Python, which can be trained to solve the XOR problem.
neural_prophet
NeuralProphet - a Neural Network based Time-Series model
powerbi-visuals-dotplot
A dot plot is used to show a representation of the distribution of frequencies. It is most often used to show counts of an occurrence.
prophet_forecasting
forecasting examples using Facebook Prophet
Python
Jupyter Notebooks with Python Course
python-docs-samples
Code samples used on cloud.google.com
tensorflow
An Open Source Machine Learning Framework for Everyone
text-analytics-with-python
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
web_apps_python
Aplicaciones web en python