One thing that has surprised me my path to learning Tensorflow is the fact that this library accommodates models other than neural networks, such as linear regression, logistic regression, random forest, and gradient boosted trees. In a recent post I discussed tensorflow’s gradient boosted trees model, which is housed in…

Tensorflow is the premiere library to create neural networks in the Python programming language. I took my time to begin studying this library because, having previously studied Pytorch, I believed that it would be very difficult to learn. One thing that I have learned since I decided to study Tensorflow…

Whilst studying Tensorflow, I have learned that the library also supports traditional algorithms,such as linear regression, logistic regression, gradient boosting trees, and random forest. In this blog post, I intend to focus on Tensorflow’s Gradient Boosted Tree model in particular. Why does Tensorflow offer the Gradient Boosted Trees model? TensorFlow…

Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Pandas has many functions that create series and dataframes, and manipulate the data contained in those structures. One of the great things that pandas can…

In an earlier post, I made predictions on the classification of a dataset of cheetahs and lions using a pretrained model. In that post, I used the pretrained convolutional neural network (CNN), MobileNet, to classify images images as being either a 0 for a cheetah or a 1 for a…

A dataframe is a structure that arranges data in a two dimensional table of rows and columns, much like a spreadsheet. Dataframes are perhaps one of the most common structures used in data analytics because they are a flexible and intuitive way of working with data. The pandas library was…

MobileNet is a type of convolutional neural network (CNN) architecture that was specifically designed for mobile and embedded vision applications, where there are often resource constraints such as limited memory, processing power, and battery life. MobileNet achieves high accuracy while also being computationally efficient and lightweight. The MobileNet architecture uses…

Kaggle has carried on their playground competition for the third year in a row, and in this year, 2023, the data science company is already on its eleventh competition question. When I looked on Kaggle’s competition page and saw another competition had been posted, I decided that I had to…

Kaggle, a data science company, has an ongoing competition that features the MNIST dataset. The link to this competition is here:- https://www.kaggle.com/competitions/digit-recognizer The MNIST dataset is a widely used benchmark dataset in machine learning and computer vision. It consists of a set of 70,000 grayscale images of handwritten digits from…