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I saw this cool project named SkinDeep by Vijish Madhavan trending on reddit today. So I decided to try and port it to Deepnote, and it was super easy, runs on our free CPU machines pretty fast, check out the result:
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Here's the project if you want to duplicate it and give it a shot:
https://deepnote.com/project/SkinDeep-D8BAqIJ1RLKh2M0sC6s4cg/%2FSkinDeep.ipynb
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Here's the project if you want to duplicate it and give it a shot:
https://deepnote.com/project/SkinDeep-D8BAqIJ1RLKh2M0sC6s4cg/%2FSkinDeep.ipynb
This notebook is an analysis of a dataset that documents verbal attacks Mr. Trump posted on Twitter, from when he declared his candidacy in June 2015 to Jan. 8, when Twitter permanently barred him.
To get the discussion flowing, here is my CV. I still have not updated it since I joined Deepnote π . Any feedback welcome!
Please feel free to join in and get some feedback on your CV from others in the community. Also, have a look at the blog here and book office hours next week.Β
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Please feel free to join in and get some feedback on your CV from others in the community. Also, have a look at the blog here and book office hours next week.Β
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Data Love is the conference for Data Engineers, Data Scientists, and everyone who wants to dive into the data-driven world.
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- I have converted all my pgsql code into a notebook by using ipython-sql and sqlalchemy you can see the proper tutorial here.
- This code is part of assessment test of the Udemy course The Complete SQL Bootcamp 2021: Go from Zero to Hero.
- The solution in this notebook is mine, so if you have any problem understanding any SQL commands do mention it in the comments.
- Dataset is also provided by Udemy Sql Course.
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In this project, I have used HTML code in markdown to make my project look beautiful following the perfect color scheme to represent feminism. I have also demonstrated new ways to display data by using a donut pie chart, colorful data table, exploding pie chart, and many more. ο»Ώ
Deepnote Notebook
Deepnote Notebook
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Background
The data was collected from the merchant (Gufhtugu Publications www.Gufhtugu.com) who are partners in this research study. There is a dire need for such a dataset to learn about Pakistanβs emerging e-commerce potential and I hope this will help many startups in many ways.Β
Project Description
In this project, I have explored tabular data provided by the Gufthugu publication and applied all the Data visualization skills I have gathered last year. Plotly and Seaborn are leading in Data Visualization and I have shown different ways to analyze data and come up with a proper conclusion.Β
Project contains
- Data exploration
- Geographical AnalysisΒ
- Maps
- Animations
- Data Visualization
- linear RegressionΒ
- Catboost
- Post-training Shap Analysis
- Simple SKlearn Regression
- Time-series Data exploration
- Best selling books
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This notebook will take a long time to load so be patient as it uses JS Script Libraries.
I pulled data from both Spotify and Genius's API, and compared musical and lyrical valence using VADER on Frank Ocean's discography to see if there were any commonalities.
Ignore the HTML in the table of contents (I created this notebook before deepnote included their own table of contents on the sidebar).
https://deepnote.com/@ferdie-taruc/Frank-Ocean-Sentiment-Analysis-pEQ7cqL5TmGZpEELyCcV3gο»Ώ
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Ignore the HTML in the table of contents (I created this notebook before deepnote included their own table of contents on the sidebar).
https://deepnote.com/@ferdie-taruc/Frank-Ocean-Sentiment-Analysis-pEQ7cqL5TmGZpEELyCcV3gο»Ώ