The repository consists of an energy forecasting model using XGboost. The dataset consists of hourly energy consumption rates in kWh for an industrial utility.

Building a Multi-Label Classifier doesn't seem a difficult task using Keras, but when you are dealing with a highly imbalanced dataset with more than 30 different labels and with multiple losses it…

Data analysis of AirBnb website history in the city of Rio de Janeiro

Unsupervised learning problem. Customer segmentation project

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Learning Under Different Training and Testing Distributions

Data modeling in Apache Cassandra

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.