$SPY MACD hitting elevated zones reminds me of previous cycles. 📊When we see hits around 1.5 like July 3rd, it's worth noting the historical context -extreme readings often preceded corrections. Not a sell signal, but worth watching for divergence! #SPY #MACD #TechnicalAnalysis

Your struggle isn’t weakness. It’s proof you’re still in the fight. Don’t give up. The climb is brutal, but the view is worth it. #PositiveEnergy

#SEO - "Outside the industry, nobody knows what we do” - Schultheiß & Lewandowski (2021).

I was analyzing the 50-day vs. 200-day moving average using #Python when I encountered some errors. I turned to #AI for quick solutions. I could not be more excited about all what is available at my fingertips in mini-seconds.

#AI can be our best companion—if we know the fundamentals—allowing us to stand on the shoulders of #AI and the vast knowledge base built by previous programmers on #GitHub, #StackOverflow, and #StackExchange. #Copilot #GoogleColab

#PyCrat is very close to the #caret package in R. There is a very good documentation of the #PyCrat package for free at pycaret.gitbook.io/docs. #PyCrat is designed to simplify and automate workflows for building, training, and deploying machine learning models.

#caret really makes beginner's life way much easier. You can run a random forest model with only one line of syntax. library(caret) model <- train(Species ~ ., data = iris, method = "rf")

Arvind Narayanan's new book opening. The analogy of "Vehicle" to "Artificial Intelligence" (#AI) truly captures what we are going through right now.

A post with 50K likes is rare. Supply chain efficiency relies on smart resource use and specialization. #Tariffs raise prices by adding costs to imports. When consumers can't afford the increase, companies may face lower sales or bankruptcy.

Deploying tools or KPIs is easy. We often rely on them to simplify the decision-making process. Are managers making good decisions? That is a business question. A tool, #dashboard, or #KPI should not be a substitute for aligning #data and people to work together effectively.

People think R is just for stats. But it also shines at many areas: ✔️ Pulling and cleaning data from Google Sheets (googlesheets4), Qualtrics surveys (qualtRics), Census Bureau APIs (tidycensus), and transforming with dplyr + tidyr; The #Rstats Ecosystem, David Smith is on Bluesky, 2017

✔️ Creating high-quality, customizable visualizations with ggplot2, plotly, etc ✔️ Spatial analysis using sf, tmap, and leaflet ✔️ Automating reports & workflows with rmarkdown and GitHub Actions ✔️ Extending workflows with #AI tools like GitHub Copilot, chatgpt, or OpenAI APIs

Just read this from an influencer I follow on LinkedIn: Deep domain expertise plus alien-level technical skills equals lots of interesting and rewarding work to do. Do you agree?

In a recent post "Skills vs. AI skills" ( "towardsdatascience.com/skills-vs-ai-s…), Dr. Tosic shared tips on using #AI: 🧠Experiment with multiple AI models. 🧠Understand AI failures and how to evaluate outputs. 🧠Use low-code or no-code platforms to create, not just consume, AI products.

Here is a hot tip on how to talk about your skills. Stop telling people what you *know* how to do things. Start telling people the problems you help them solve. For example: ✴️ Don't say: "I build machine learning models." ✴️ Say: "I help companies reduce customer #churn by 20%."

✴️ Don't say: "I do predictive analytics." ✴️ Say: "I help stakeholders forecast demand accurately so they never run out of stock."

🔄 #DataAnalytics is a Team Sport. This image by Data Science Dojo shows it perfectly! 🔧 Data Engineers build pipelines and APIs. 🧪 Data Scientists analyze patterns and build models. 💼 Managers bridge the gap with critical thinking and ensure business decisions align with goals

The magic happens in the overlaps: ✨ #Programming & #BigData connects engineers and analysts ✨ Analysis & Hypothesis Development/Testing drives model development and decision-making ✨ #Storytelling & #Visualization brings insights to life!

#Claude is the winner in #coding and #programming!

The Road Less Traveled... Sometimes, we tend to follow conventional wisdom and ignore the fact that change is a part of life. This #DataViz shows that having a top-aligned axis might be a good practice as labels and highlights are more likely to be in the reader's field of view.