-
Flask Webapp for Exploration of SG Properties
- Data scraped from www.99.co website - spiders provided inside folder
- Access at https://towardsdatascience.com/exploring-sgs-rentals-with-an-interactive-webapp-built-using-dash-flask-and-heroku-part-1-cccd9e8dd1b8 for the writeup on on the app was built
- In addition, clone the relevant folder from the repository if you want to check out the Ipython notebook that documents the entire process from A-Z includding the data-cleaning/preprocessing phase
- To test out the Flaskapp, please clone the relevant folder from the repository and deploy the app locally via 'localhost:'
- Alternatively, access the link https://sg-property-99co.herokuapp.com/ to test out the live deployed version of the app
- There are differences between the live deployed version & the locally deployed version (more details in README file inside folder)
-
Prediction Labels of various water pumps across Tanzania
- Data provide on Drivendata.org
- Access at https://huytofu.github.io/Tanzania_Water_Pumps_Status_Prediction.html to view the Ipython notebook (pictures not loaded).
- Alternatively, read the writeup of this project on my personal blog at https://medium.com/the-informed-man/predicting-water-pump-status-in-tanzania-810909307390
- Or, you can just clone the relevant folder from the repository and examine the notebook yourself
-
Prediction of success of Unconcluded Kickstarter Campaigns
- Data scrapped from the Kickstarter website
- Access at https://huytofu.github.io/Kickstarter_Campaign_Final_State_Prediction.html to view the Ipython notebook (pictures not loaded)
- Alternatively, read the writeup of this project on my personal blog at https://medium.com/the-informed-man/exploring-details-of-kickstarter-campaigns-part-1-c35d0009ed9
- Or, you can just clone the relevant folder from the repository and examine the notebook yourself
-
Predicting Future Sales of customers at a large Brazil Ecommerce platform based on details acquired from their first purchase
- Data provided by the company itself on Kaggle portal
- Access at https://huytofu.github.io/Brazil_Ecommerce_Future_Sales_Prediction.html to view the Ipython notebook (pictures not loaded).
- Or, you can just clone the relevant folder from the repository and examine the notebook yourself
-
Notifications
You must be signed in to change notification settings - Fork 1
huytofu/huytofu.ML_Projects
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Collection of personal Machine Learning projects with downloadable codes
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published