Providing full stack development
I am an experienced developer who works with a team to create and design software and websites as per requirements. We are specialized in ML python and website development.
ABN 72 448 279 253
All contracts are delivered to 100% satisfaction if possible. There is always a guarantee clause to ensure quality.
This project involved using python to construct an ML model through six different approaches including Random Classification/ Decision Tree modeling, linear, KNN, etc. It consisted of 10 main inputs with 3 iterations of mean, standard error and largest/worst figures totaling 30 inputs to classify a binary output of 1/0 using an ML classification model. The highest accuracy on test data consisting of around 113 inputs gave an accuracy of 97%. Below is the screenshot of the final output with heatmap for each model using the seaborn library in Python showing accuracy results in the title along with F scores.
This is a small script I wrote in ruby to allow customer checkout discount to be tiered based upon total cost. In Shopify, the main problem is that the checkout item cannot be discounted as a whole and thus only each line item can be discounted. So to solve this problem I generated a % discount on each line item adding up to the final discount needed in the checkout. For example if a customer shopped for $110 with three items X, Y, Z and the tiered discount range specified in the code for $110 is $20 then that $20 is spread to X,Y,Z as weighed so that total end discount is $20 with $90 being final payment. This is an important workaround for Shopify stores looking to customize discounting features according to promotions. Can only be implemented through Shopify plus.
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