Parking Lot Occupancy K-means Analysis in National Parks in the United States
Introduction The objective of this study is to determine the correlation that exists in the levels of…
Forecasting model for influenza A cases (H7N9) based on Random Forests
The objective of this study is to present a machine learning model based on Random Forests that…
Walmart — Store Sales Forecasting
For this Machine Learning project, we will use the “Walmart Recruiting – Store Sales Forecasting” dataset, from…
Hotel Booking Demand EDA
For this EDA project, I will use the “Hotel booking demand” dataset, which can be found here…
5 NumPy Functions that you Should Know
Introduction NumPy is an open-source extension for Python that allows us to use vectors and matrices. We…
Image Classification with COIL-100 Dataset in PyTorch
In this post, we will use PyTorch to go through different models to classify images from the…
Deep Learning in PyTorch with CIFAR-10 dataset
In this post, we will learn how to build a deep learning model in PyTorch by using…
Cars price prediction through linear regression with PyTorch
Through linear regression, we can predict values based on the corelation of variables. This can be very…
5 Useful tensor functions for PyTorch
Lately, PyTorch has gain a lot of popularity among the data science community, as one of the…