Blog Posts in Cards
Where I talk about different programming concepts in python.
If you are working in CircleCi trying to deploy AWS stack and you get an error message that says “Invalid template path”. Here is the solution: Move your template file from inside .circleci folder to the same folder level as .circleci
“Problem” – Error: Error creating DB Instance: InvalidParameterValue: The parameter MasterUserPassword is not a valid password.
“Solution” is to change the special field to false. Just removing the special field input doesn’t work because the default value for the special field is true.
This comparison between kajabi and wordpress will cover SEO, Video Blogging, Social sharing, Editing blog, promoting digital business, website speed, plugins or no plugins, website security, and more factors.
This post is about bringing several individual blog posts together and showing you an orderly fashion to follow to build your app with FastAPI, Use docker for the environment, and Deploy using AWS.
Deploy your data science APP to AWS using AWS ElasticBeanStalk. This tutorial assumes you are using docker for your environment. If you are not using docker for your environment, you can still follow this tutorial.
Before installing docker, you need to find out the type of windows system you have. The process for installing docker on windows 10 pro is different than the process for installing docker on windows 10 home.
This tutorial will be focused on teaching you how to install WSL2 on windows 10 home and windows 10 pro. How you install WSL2 on windows 10 HOME is different than how you install it on windows 10 PRO
This is just a short post talking about my experience working in a cross functional tech team. I worked with 14 people that included a project lead, a web dev team, an iOS team, a UX/UI team, and 4 other data scientists.
Marketing tools can help you tailor your promotion efforts across multiple platforms and can improve your reach. This kind of technology can help you capture leads, develop relationships, and maintain contact with the clients you have worked so hard to get.
In Summary, this is how to create a line graph in tableau Drag the 2 columns you want to graph into the view. Could be a dimension and a measure values, or a measure and a measure values Change your dimension value from discrete data to continuous data (if applicable) Select the level of detail you want (if applicable) Here is a work-through explanation of the above steps. You have to realize that a line graph shows continuous data over time. So, to create a line graph, we will be graphing sales over the ship date In tableau, when you
I choose to implement the Gaussian naive Bayes as opposed to the other naive base algorithms because I felt like the Gaussian naive Bayes mathematical equation was a bit easier to understand and implement.
Virtual environments are a way to isolate your projects to avoid package/version conflicts between projects when working on different projects that require different packages and/or versions
In this tutorial we cover how to create anaconda environments, how to import and export anaconda environments, and how to put your anaconda environment in jupyter lab.
How to use pandas and python to merge 2 or multiple dataframes. How to do inner, outer, left, right, left_on, right_on, left_index, right_index merge. Join and concat, merge dataframes with no column in common.
This multi image recognition project aims to accomplish a couple of things. The primary objective was to build a model that can classify 15 various fruits. These are the steps taken to accomplish that mission.
How to quickly and efficiently explore your dataset with Pandas Profile Report Function. The first thing to do with a new dataset is to explore it and get a feel and intuition for the data before you start hacking away at the data.
How to load data from CSV file, URL link, ZIP file, .TAR file in Jupyter Notebook and Visual Studio Code using Python and Pandas. How to Use WGET, import Zipfile, Import Tarfile, and other file unlocking techniques.
This tutorial will teach you how to create new columns and datasets in python using pandas for data analysis. Pandas is one of the easiest and most popular tools to create datasets.
Before you engineer a new feature, you need to ask yourself questions like, what is the purpose of this new feature, what am I trying to accomplish with this new feature, what experiment am I running?