A convolutional neural network (CNN, or ConvNet) is a class of deep neural networks, most commonly applied to analyzing visual imagery. The network can be a pretty large network and it can range from a few million to a billion parameters. Below I have an image of the architecture of…

In Canada particularly in Ontario, the COVID-19 Cases are on a rise. Ontario’s Premier Doug Ford declared a second state of emergency and issued a stay-at-home order for the province, which started on Jan 14, 2021. The latest headline states that Ontario reports a single-day increase in new COVID-19 cases…

In this blog, we will be covering up the concepts of using the logistic regression along with neural networks, applying forward and backward propagation, and then applying them to the practice in order to build your image recognition system i.e a cat classifier in this case. …

Introduction Here I built an ML pipeline using Microsoft Azure Studio. Dataset I used the Adult Census dataset within Microsoft Azure ML Studio for predicting accuracies. This dataset is from the Machine Learning repository. Data selection and cleaning The Adult Census dataset was imported into the dashboard. To account for…

Introduction In this blog, I discuss my machine learning capstone project where I apply algorithms (for both classification and regression) to identify the most reliable algorithm in each of them that depicts the highest performance on both training and test data and that can be considered for the future dataset. …

Introduction In this blog, I explored the dataset discussing tracking alcohol consumption in mainly European and Australian nations. The original Tableau file and pdf for the “Alcohol Consumption by Country” data has been made public on my Github here. Data Set For this blog, I have used the makeover Mondays dataset —…

Introduction In this blog, I explored the dataset by Next Gen Stats tracking data for running NFL plays. The code for the “NFL plays” data has been made public on my Github here. Data Set For this blog, I have used the Kaggle data set — NFL Big Data Bowl. The dataset contains…

Introduction In this blog, I explored the credit default data using Microsoft Power BI. The Microsoft BI dashboard for the “Credit Card Default” data has been made public on my Github here. Data The dataset used for the data analysis in Power bi is from UCI Machine Learning Repository. The…

Exploring Wine Reviews using Pandas Introduction There are a lot of wine enthusiasts all over the world In this blog, I explored the wine review data using Pandas. The code for the “Wine Review” data has been made public on my Github here. I am a Professional Engineer(P.Eng) and a Project…