Category: Community Platform
-
Risk-Aware Strategies for DCA Investors
Let’s look at the the Dollar-Cost Averaging (DCA) investment approach that involves investing the same amount of money in a target security at regular intervals over a certain period of time, regardless of price. It can make it easier to deal with uncertain markets by making purchases automatic. It also supports an investor’s effort to invest…
-
A Closer Look at the Azure Cloud Portfolio – 3. Azure DevOps Boards
1. Getting Started with AB You need the MS account to start AB. Choose Start free option. Choose Public option Click Advanced: Git version control (there could be code versions or file management) and Basic work item process The first/second one is the distributed/centralized version control Project management process: Agile, Basic, CMMI, Scrum Capability Maturity…
-
A Closer Look at the Azure Cloud Portfolio – 1. Essentials
Table of Contents Azure Cloud Concepts Source: 2023 TomTom Azure packaged software, IaaS, PaaS, and SaaS: Azure Synapse SQL Pool Learn more about Polybase here. Azure DevOps Boards Capability Maturity Model Integration (CMMI) is a process level improvement training and appraisal program. Add new items and divide work into time slots called sprints. Learn more about…
-
Build A Simple NLP/NLTK Chatbot
Featured Image – Canva. How Can Chatbots Help Improve Your Bottom-line? A chatbot is a computer program or software that automates conversation with a user. They can be programmed with different responses based on what a user chooses or requests. Chatbots can provide real-time customer support and are therefore a valuable asset in many industries. Contents: You can build an industry-specific…
-
Cloud-Native Tech Autumn 2022 Fair
Let’s dive deeper into the cloud-native tech trends and features to follow in Q4 2022 and beyond. Contents: Markets Services Serverless Cybersecurity DevSecOps ML/AI/IoT Use-Cases Events Training Explore More Infographic
-
Breast Cancer ML Classification – Logistic Regression vs Gradient Boosting with Hyperparameter Optimization (HPO)
Breast Cancer (BC) is the leading cause of death among women worldwide. The present study optimizes the use of supervised Machine Learning (ML) algorithms for detecting, analyzing, and classifying BC. We compare Logistic Regression (LR) against Gradient Boosting (GB) Classifier within the Hyperparameter Optimization (HPO) loop given by GridSearchCV. We use the publicly available BC dataset…