Docker image for Deep Learning used at @koto-bank Contains Tensorflow, Keras, PyTorch, OpenCV and a few Python ML libraries.

Ejercicios en Python con JupiterNotebook de Redes Neuronales

My Jupyter Notebooks

This Jupiter Notebook retrieves the weather data of a town/city (input by user)

dockerfile for jupiter notebook based on Anaconda

The given infographic tells a data story about child labor in developing countries. Originally, the html page was generated via jupiter-notebook tool and then published on github. Link: https://ericsson312.github.io/Infographic/

Homeworks

My Jupiter Notebooks

Este repositório deve servir como treinamento no estudo de mineração de dados usando o Pandas e exibindo os gráficos usando a biblioteca do Seaborn, todas usando Python, usei preferencialmente o Google Colab para rodar este notebook.

A notebook that basically generates random linear and parabolic data and then it fits various curves (polynomials with different degrees) in that data.

scientific computing studies 📓

Labs, exams, exercises and more exercises presented with Jupyter notebook | Softuni | Dilyan Tsenkov

[Deep Learning, Machine Learning, Data Visualization] Two Jupiter Notebooks created to showcase different ML and explainability libraries.

In this repository you can find a Jupiter Notebook containing the solution of a linear system using the Cholesky Decomposition method.

Data Science and Business Analytics Task-1 (Predict the percentage of an student based on the no. of study hours) Using simple linear regression model, forecasting the marks of a student based on the numbers of hours studied per day. Tool(s) Used - Python (Jupyter Notebook)

Analyze World Weather and Create a Travel Itinerary using Pandas, Matplotlib, SciPy statistics., Citipy, Weather Map API, Gmaps API and Jupyter Notebook.

A Case Study of Extract, Transform, Load. Documentaion includes sources of data, types of data wrangling performed (data cleaning, joining, filtering, and aggregating) and the schemata used in the final production database. Technologies used include Pandas, PostgreSQL, Jupyter Notebook.

A python code running with jupyter notebook or google colabs, implementing the Data Mining Associating rule with Apriori algorithm.

.NET Interactive Notebook to demo using Playwright with Dataverse

The goal of this project is to predict someone's obesity level from a given dataset. During this project I had to clean the dataset, change the structure of the dataset, make visualizations, and do machine learning. This project contains : a Jupiter Notebook, a Django API, a Powerpoint explaining the problem.