[ad_1] Still looking for a New Year’s resolution? Here are 6 skills to develop to make you & your team ridiculously efficient. What makes a great data analyst? Great data analysts can find creative solutions to complex problems and produce quality work in record time. They know exactly which questions to ask to get to…

[ad_1] How to use the full capabilities of Matplotlib to tell a more compelling story Electricity Production by Source in the US — Image by AuthorTelling a compelling story with data gets way easier when the charts supporting this very story are clear, self-explanatory and visually pleasing to the audience. In many cases, substance and…

[ad_1] What would you say it is you do here? Photo by Cookie the Pom on UnsplashNow that many of us are returning to the office and getting back into the swing after a winter break, I have been thinking a bit about the relationship between machine learning functions and the rest of the business.…

[ad_1] Photo by Christian Dubovan on UnsplashThree tricks to prevent your data project from memory overflow A few years ago, I wrote a blog post on how to write memory-efficient loops in Python which became quite popular. The positive response encouraged me to write a second part, where I delve into additional memory optimization methods.…

[ad_1] I believe that the primary goal of analysts is to help their product teams make the right decisions based on data. It means that the main result of analysts’ work is not just getting some numbers or dashboards but influencing reasonable data-driven decisions. So, presenting the results of our research is a critical part…

[ad_1] Tiny-Llama logo (src: https://github.com/jzhang38/TinyLlama)Learn how to deploy a real ML application using AWS and FastAPI Introduction I have always thought that even the best project in the world does not have much value if people cannot use it. That is why it is very important to learn how to deploy Machine Learning models. In…

[ad_1] Navigating Nested Loops and Memory Challenges for Seamless Performance using Python Photo by Kevin Canlas on UnsplashIn this exploration of Python code optimization, we look at common issues that impede performance resulting in overheads. We analyze two issues here- one related to nested loops, and the other related to memory/allocation issues caused by reading…

[ad_1] You can start your data science journey at any time; expanding your skill set should be an ongoing, yearlong process. Still, even those of us who are skeptical of new year’s resolutions can’t deny the sense of excitement and opportunity that comes with a whole, blank-slate year on the horizon. What better time to…

[ad_1] Photo by Jon Tyson on UnsplashLet us consider a nonlinear function f(x), where x is a continuous variable. We would like to find the minimum value of this function f(x) by changing our decision variable x. The optimization problem can mathematically be formulated in the following manner: In most cases, the user comes across…

[ad_1] There exist publicly accessible data which describe the socio-economic characteristics of a geographic location. In Australia where I reside, the Government through the Australian Bureau of Statistics (ABS) collects and publishes individual and household data on a regular basis in respect of income, occupation, education, employment and housing at an area level. Some examples…