In this project I analyzed historical stock price data to identify trends and forecasted future prices using LSTM model.
Identified clusters of customers using K-Means. Task involved: Identification of number of clusters to be formed, Data Modelling and prepation and Visualization of the identifed clusters
In this task, We will be using data from a random sample of loans obtained from a peer-to-peer lending platform with the aim of helping the platform identify risky loan applicants more accurately.We will be using different Machine Learning models with different parameters and then finally choose the best model.
This is a simple visualization carried out using Tableau to showcase some important information regarding the state of Unemployment in Botswana.
They say, 'A journey of a thousand miles begins with a single step', but I feel with me just creating this website I have already taken multiple steps but in a direction I still HOPE takes me to my desired destination. "The stars are aligning", "This feels way too good to be true". These are some of the quotes I kept on saying to myslef after my first interaction with Data Related tasks. I graduated from Heriot Watt University with an Honours degree in Mathematics, and unfortunately I left University without a clear career plan or knowledge of what to do with a Mathematics degree. But then what I knew I got from Mathematics was the ability to solve problems, think creatively and learn quickly so I then encouraged myself to to pursue a variety of online courses from Photoshopping skills, to Product Development and many more but what eventually got my attention and desire was Data Analysis. For the first time, I felt I had found my true purpose.
Fortunately I had the opportunity to apply my newly found skills at Botswana Telecommunications Corporation. This experienece gave me the opportunity to work with real-world data, understanding the limitations both the organisation and Human Resource can have when dealing with Data. I then decided to go Upksill myself in a more formal environment, that's was when I enrolled for Masters in Data Science at University of Essex, and this is where I am currently at. The experience has been too good, learning is exciting and there is always a new challenge everyday.
I am excited to share my learning process here, as well as potentially collaborate fore short term or long-term projects in here.
Sometimes we always get into new experience being unsure, this is basiucally a motivational post.
Read MoreThis dissertation explores the use of supervised machine learning models for detecting fraud in mobile money transactions.
Read More