Towards AI
FEBRUARY 9, 2024
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.
Dataconomy
APRIL 3, 2025
With applications ranging from genomics to image processing, t-SNE helps bridge the gap between intricate data environments and actionable insights. t-SNE was developed by Laurens van der Maaten and Geoffrey Hinton in 2008 to visualize high-dimensional data. What is t-SNE (t-distributed stochastic neighbor embedding)?
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Towards AI
APRIL 8, 2024
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.
Kaggle
APRIL 20, 2020
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
Tableau
DECEMBER 1, 2021
Four reference lines on the x-axis indicate key events in Tableau’s almost two-decade history: The first Tableau Conference in 2008. The first Tableau customer conference was in 2008. Tableau had its IPO at the NYSE with the ticker DATA in 2013. Visual encoding, in particular, tapped the power of the human visual system.
Tableau
DECEMBER 1, 2021
Four reference lines on the x-axis indicate key events in Tableau’s almost two-decade history: The first Tableau Conference in 2008. The first Tableau customer conference was in 2008. Tableau had its IPO at the NYSE with the ticker DATA in 2013. Visual encoding, in particular, tapped the power of the human visual system.
Mlearning.ai
APRIL 25, 2023
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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