Abhishek Girish Patil's repositories
Simple-Plagiarism-Checker
Web Application for checking the similarity between query and document using the concept of Cosine Similarity.
Movie_Recommendation_Engine
Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.
Physionet-CSV-Conversion
Code to access the ECG data from Physionet using Python.
Audit-Risk-Classification
This project was part of the MIS6v99 Applied Machine Learning course that I took in Spring 2019. The goal of this project is to help the auditors by building a classification model that can predict the fraudulent firm on the basis the present and historical risk factors. The dataset is collected from the Auditor Office of India to build a predictor for classifying suspicious firms and is publicly available on UCI's Machine Learning Repository.
SUDOKU-using-Backtracking
Smart Sudoku puzzle generator as well as solver having multiple levels of difficulties.
Hospital-Readmission-Prediction-XGBoost
Prediction of a readmission for a patient based on the Electronic Health Records (EHR) data. This project was done as part of a timed challenge with a time limit of 3 hours to work on this dataset. So, it is just a preliminary model using XGBoost algorithm with some basic data exploration for data processing.
Olympics_Dataset
A brief analysis of a dataset consisting of medal tally of differrent countries participating in the Olympics.
Multiple-Linear-Regression-From-Scratch
Multiple Linear Regression from scratch without using scikit-learn.
Downcast-Datatypes
Code snippet to downcast datatypes in a Pandas DataFrame to facilitate very low memory usage and faster code execution.
Employee-Database-Application-Object-Oriented-Implementation
This project is a simple Employee Database Application using Object Oriented Programming concepts implemented in Python.
SlowPrinting
Code to print a string "slowly".
Stats-with-Python
Statistics concepts using Python.
Time-Series-Fault-Prediction
Tagup's Data Science Challenge to predict faults in machines based on their system logs.