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Forget Streamlit: Create an Interactive Data Science Dashboard in Excel in Minutes

KDnuggets

Go to the PivotTable Analyze tab >> select Pivot Chart >> select Clustered Column. Add data labels: Expand Chart Elements >> click Data Labels. Regional Performance Column Chart Select the Regional pivot table. Format: Title: Sales by Region. Different colors for each region. Data labels on top of columns.

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5 Error Handling Patterns in Python (Beyond Try-Except)

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Error Handling Patterns in Python (Beyond Try-Except) Stop letting errors crash your app.

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Top 17 trending interview questions for AI Scientists

Data Science Dojo

These professionals venture into new frontiers like machine learning, natural language processing, and computer vision, continually pushing the limits of AI’s potential. This is used for tasks like clustering, dimensionality reduction, and anomaly detection. What are some emerging AI applications that excite you?

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Large Language Models: A Self-Study Roadmap

Flipboard

Step 1: Cover the Fundamentals You can skip this step if you already know the basics of programming, machine learning, and natural language processing. The key here is to focus on concepts like supervised vs. unsupervised learning, regression, classification, clustering, and model evaluation. So, lets get started.

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Bitcoin price outlook: How AI and data science are reshaping crypto market forecasting

Dataconomy

Clustering algorithms (K-Means) classify wallet activity to forecast shifts on a larger scale. No model, however sophisticated, can account for the black swan events, regulatory changes, or exchange outages. XGBoost/Random ForestGood with many variable predictions like BTC dominance, open interest and ETH correlation.

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Predictive modeling

Dataconomy

Predictive modeling is a mathematical process that focuses on utilizing historical and current data to predict future outcomes. By identifying patterns within the data, it helps organizations anticipate trends or events, making it a vital component of predictive analytics.

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How Untold Studios empowers artists with an AI assistant built on Amazon Bedrock

AWS Machine Learning Blog

The implementation uses Slacks event subscription API to process incoming messages and Slacks Web API to send responses. The incoming event from Slack is sent to an endpoint in API Gateway, and Slack expects a response in less than 3 seconds, otherwise the request fails. Sonnet model for natural language processing.

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