Here I post some of my projects in data science or implementation of what I learnt in practice. For more information or to get the code, click “Read More”. You will be forwarded to my GitHub or my posts.
Data Clustering from Scratch using Python
In this project, I implement some of the classical clustering algorithm on a large dataset using the Python programming language. I implemented k-Means (representative – based), DBSCAN (density – based) and hierarchical clustering from scratch and then tested them against one specific dataset.
Retail Transactions Analysis and Association Rule Mining
This project delves into the world of retail transactions, uncovering hidden patterns and customer buying behaviors. Here, you’ll find the code, data, and insights generated through the analysis.
Exploratory Data Analysis on the TMDB 6000 Dataset
This project is created to accumulate and summarize several techniques in SQL that I learned for exploratory data analysis
Time Series Analysis on Dhaka Stock Prices
This project contains a collection of Python notebooks demonstrating various time series analysis techniques, primarily using the powerful statsmodels library. From fundamental concepts to advanced modeling and evaluation, these notebooks provide a hands-on guide for understanding and working with time series data. Mainly, I created this to educate myself
Tai Duc Phan Portfolio 