Jaz AllibhaiHow To Implement API Authentication Using API KeysLearn how to securely implement authentication for your API using API keys7 min read·Feb 18, 2024----
Jaz AllibhaiIntroduction to Text Classification Using TransformersTransformers are extremely powerful models that have achieved state of the art results in many Natural Language Processing (NLP) tasks. The…4 min read·Jul 18, 2022----
Jaz AllibhaiIntroduction to MakefilesA Makefile is a file with a list of tasks that can be easily executed. To execute tasks listed in the Makefile, you use the ‘make’ utility…3 min read·Jan 31, 2022--1--1
Jaz AllibhaiIntroduction to MLflowMLflow is a great open source tool that allows you to track your model runs, including model parameters, metrics, results, data used, and…8 min read·Jan 17, 2022----
Jaz AllibhaiIntroduction to Docker for Data ScientistsDocker is an open source platform that allows you to build and deploy applications quickly. It packages your application into a container…5 min read·Jan 10, 2022----
Jaz AllibhaiinThe StartupData Science Essentials: Scraping Data From the WebWeb scraping is an important skill for any data scientist to have in their toolbox4 min read·May 17, 2020----
Jaz AllibhaiinTowards Data ScienceEnsemble Learning Using Scikit-learnEnsemble learning uses multiple machine learning models to try to make better predictions on a dataset. An ensemble model works by…8 min read·Nov 19, 2018--7--7
Jaz AllibhaiinTowards Data ScienceBuilding a Convolutional Neural Network (CNN) in KerasDeep Learning is becoming a very popular subset of machine learning due to its high level of performance across many types of data. A…7 min read·Oct 16, 2018--31--31
Jaz AllibhaiHoldout vs. Cross-validation in Machine LearningI recently wrote about holdout and cross-validation in my post about building a k-Nearest Neighbors (k-NN) model to predict diabetes. Last…2 min read·Oct 3, 2018--6--6
Jaz AllibhaiinTowards Data ScienceBuilding a k-Nearest-Neighbors (k-NN) Model with Scikit-learnk-Nearest-Neighbors (k-NN) is a supervised machine learning model. Supervised learning is when a model learns from data that is already…9 min read·Sep 26, 2018--11--11