I already shared ways to leverage Python for Machine Learning and predict values in univariate and multivariate regression models. Be sure to read those before proceeding to this as this builds on those concepts. In this post, we’ll also make prediction using regression model but this time we have categorical values to deal with. Categorical […]
Tag: ai
Machine Learning In Python (Multivariate Linear Regression)
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, […]
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, […]