This repository contains a portfolio of data science projects completed by me for self-learning, academic, and hobby purposes. Presented in the form of iPython Notebooks, and R markdown files (published at RPubs).
For a more visually pleasant experience for browsing the portfolio, check out (https://roman1117459.github.io/My_Portfolio_website/)
-
- Predicting Boston Housing Prices: A model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
-
- R
- Dataset analysis&fit_neuralmodel: This is a academic purpose project where I have learned data analysis and visualisation using R. It is a very important tool for a data scientist or ml engineer. Because using R, the analysis and visualising part is easy. I have implement some visualisation, Data Cleaning, and fit a model in this project.
- R
-
- Python
- ML with Linear Regression: Using Linear Regression to predict the estimate price of a house using its location, number of bedroom and bathroom. This project is completed by using python framework flask. The model have a very good accuracy and this is a datascience end to end project. Where I have completed data collection, Data cleaning, feature engineering, data visualisation, fitting model and finally the part of deployment successfully.
- Python
Public.
I also dabble in all other kinds of technology. You can find a general portfolio here.
If you liked what you saw, want to have a chat with me about the portfolio, work opportunities, or collaboration, shoot an email at [email protected].