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My GPT-4 Prompting Methods: The Why And How For Data Visualization

Towards AI

My methods of using GPT-4 to optimize my data visual workflow For the past 6 months, I have been a heavy daily GPT-4 user. I know it makes me sound like an addict, but I have found many good reasons and many excellent use cases where this tool is an invaluable resource for improving my data workflow.

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Quan Sun on finishing in second place in Predict Grant Applications

Kaggle

After the first 10 testing submissions, I realised that there was a concept drift happening between 2007 and 2008. To me, this probably means, the decision rules for grant applications were somehow changed during 2007 and 2008. What tools I used Software/Tools used for modelling and data analysis: Weka 3.7.1

professionals

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Netflix Data Analysis using Python

Mlearning.ai

Further Analysis From the first plot, we can see the frequency of content added by Netflix from 2008 to 2021. From the second plot, we can see the top 20 genres that have been added by Netflix from 2008 to 2021. plt.figure(figsize=(12,6)) df[df["type"]=="TV Show"]["release_year"].value_counts()[:20].plot(kind="bar",color="Blue")

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Top 8 End to End Machine Learning Projects with Source Codes

Mlearning.ai

We have the IPL data from 2008 to 2017. In this blog, I implemented a Flight Price Prediction model using different techniques and also I performed very frequent data visualizations to better understand our data. We will also be building a beautiful-looking interactive Flask model.

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Visualizing the Tour de France in the year I tackle the route

Cambridge Intelligence

In the lead up to this, my day job as a software developer gave me a break from hard training rides, but my love of cycling sparked a mini side project: building web apps with the data visualization tools I help to develop, and using them to analyze and visualize Tour de France data.

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Simple Streamlit Sliders: Intaractive Map Visuals with GPT-4 Prompting

Towards AI

The GPI contains a numerical value indicating the relative peacefulness of 163 countries over a 15 year period (2008–2022). This dataset can be downloaded from the website visionofhumanity.org. This allows users to see how peace levels in different countries have evolved over time.

Python 100
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[Latest] 20+ Top Machine Learning Projects for final year

Mlearning.ai

We have the IPL data from 2008 to 2017. Flight Price Prediction with Flask app — with data visualizations So guys this is yet another one of the most favorite projects of mine. We will also be building a beautiful-looking interactive Flask model. Working Video of our App [link] 12. Working Video of our App [link] 15.