Zao Richardson Ansah's Projects
A customer segmentation analysis based on RMF metrics of the customer
Etch a sketch Odin Project
Test github repo
Learning HTML and CSS
Re-learning JavaScript
For my insight, I would be focusing entirely on the different reasons people take out loans and the variables that inflence their likelihood to get a loan and the loan amount available to different types of borrowers. I would start with the demography of the borrowers to get a general idea about who make up the population, their occupation, etc
A machine learning webapp that recommends other products to you after purchasing an item
This project creates customer segmentation of an Insurance company to give recommendations like saving plans, loans, wealth management, etc. on target customers groups.
A movie recommendations system based on user ratings using the cosine similarity algorithm
The Medical appointment attendance dataset to be investigated contains information from over 100k medical appointments in Brazil and is focused on the question of whether or not patients show up for their appointment, and the reason behind the attendance . A number of characteristics about the patient are included in each row
Predicts if a patient will show up at a scheduled appointment based on certain features.
Landing page for an interior design brand- Odin Project
Random password generator app
Rock Paper Scissors game - Odin Project
Detects if a headline is sarcastic or not
A machine learning webapp that predicts if an sms sent is either spam or not
The dataset that we would be wrangling, analyzing and visualizing is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs. WeRateDogs is a Twitter account that rates people's dogs with a humorous comment about the dog. These ratings almost always have a denominator of 10. The numerators, though? Almost always greater than 10.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent