A collection of all the data science projects done by me in the past. Codes are available as ipynb.
Here is a list of project you will find in this repository:
This project aims to visualize the current scenario of various cryptocurrencies in market. An elaborate attempt has been made to understand the trends of various cryptocurrencies using my knowledge of Data Science, Statistics and Python.
In this Project, we intend to generate investing insight by applying sentiment analysis on financial news headlines from Finviz. Using this natural language processing technique, we will try to understand the emotion behind the headlines and predict whether the market feels good or bad about a stock.
This directory contains some machine learning models that I have built from scratch, without using any standard machine learning python library. Currently contains the IrisDataset, classified using Decision Tree.