In my previous post, I shared how to predict using a single criteria leveraging machine learning in Python. If you haven’t read that, be sure to read that first here to get a better understanding of what we’re trying to do. In this post, I’ll let computer predict something based on multiple criteria. For example, […]
Tag: ai
Machine Learning in Python (Univariate Linear Regression)
In this post, I share a method to utilize Machine Learning using Python. I have collected some data from CDC site about birth rate in the USA over several years. What I’d like to show you is how we can predict birth rate for a year that is NOT present in the dataset. For example, […]
Text-to-Speech (TTS) and Pandas (POTUS data)
In this post, I introduce you to my Python 3.x program that reads an external data file containing all president names of the USA to-date (2022), and that allows users to enter a query to and hear the names of presidents as the result. The query can be a number such as a first N […]
Network graphs explained with scenarios (Python) – Part 2
This is Part 2 of the series “Network graphs explained with scenarios“. Please read Part 1 first for proper continuity. A few of the scenarios I cover in this blog series here: Project scheduling example – Shows how to compute critical path on a network of related tasks. Covered in Part 1.Routing example – Shows […]
Network graphs explained with scenarios (Python) – Part 1
Network graphs are quite fascinating to me. They are all around us and used daily in a multitude of real-world applications from supply-chain, routing, mapping, social media, scheduling, to networking. In this two-part blog series, I’ll go over some real-world applications of graphs and how to generate them dynamically using Python. There are many complex […]
Raw Data to Machine Learning to Decision-Tree: Excel
Machine Learning in Excel? Isn’t ML the new thing, new algorithm that’s only done in the Cloud using R and Python? Nope! We’ve been doing in Excel for many years!! It’s only recently getting a lot of attention with Cloud and large datasets and made much, much simpler to use for today’s Data Scientists— but […]
Speech Recognition and back (using AI/Python)
In one of my earlier blogs, I shared tips on how to build a Text-To-Speech application in Python, which you can read in the post: Interactive Text-To-Speech App… In this post, I’ll show you the reverse…where we can take our voice, and even an audio-recording, and transcript them into English text. Once I do that, […]