This repository is a collection of some data science related projects I have done during my master's and while attending a data science bootcamp by datarockie. It involves data querrying with SQL and programming in python and R.
During my master's in Biorobotics, I took Introduction to Artificial Intelligence as a mandatory course from which I learned machine learning with python. Below are some of applications I learned from the course.
Building my own version of KNeighbors Classifier.
Building my own version of Gaussian Naive Bayes Classifier
Fitting DecisionTreeRegressor with the best criterion and max depth to predict Seoul Bike Sharing Demand Data
In this bootcamp, I learned essential data science skills covering spreadsheets, statistics, data transformation, data visualisation and programming skills including:
- SQL
- Python
- R
Mockup relational database for a restaurant created using SQLite. Please checkout how the queries run on my replit
Please check out my python notebooks here
Use of pandas library to import a dataframe for analysis and visualisation
Clean raw data and prepare a dataset for COVID-19 Report on Looker Studio
Web scraping on IMDb
Use of a public API to get data from the Naruto universe
A class of python with a few class methods for mimicking the operation of an ATM and logging all transactions
A mini game built from user-defined functions with a result summary plot using pandas
Some charts plot of built-in diamond dataset using ggplot2
code snippets I used for transforming tables in nycflights13 package
Comparing 2 regression models created with caret package for predicting house price in India