ABHISINDH CHATTERJEE's repositories
Bellabeat_Product_Analysis
Welcome to the Bellabeat data analysis case study! In this case study, we perform many real-world tasks of a junior data analyst. Bellabeat is a high-tech manufacturer of health-focused products for women, and meet different characters and team members. In order to answer the key business questions, we will follow the steps of the data analysis process: ask, prepare, process, analyze, share, and act.
abhisindh
Config files for my GitHub profile.
Abhisindh_Datahack
This project aimed to predict xyz and seasonal flu vaccine likelihoods using machine learning. Categorical data was transformed with get_dummies, missing values were imputed with the mode, and RandomForestClassifier was chosen for its robustness. Model evaluation via ROC AUC yielded a mean score of 0.8532, indicating strong predictive performance.
Data-Structures-and-Algorithms
Some basic data structure and algorithms
exam-timetabling-problem
The problem is to create am optimized timetable using given data under the following constraints: 1. No student should have overlapping exams 2. Room capacity must not exceed 3. Rooms must have the required facilities etc.
sales_data_analysis
In this project we use Python Pandas & Python Matplotlib to analyze and answer business questions about 12 months worth of sales data. The data contains hundreds of thousands of electronics store purchases broken down by month, product type, cost, purchase address, etc.
Virtual-Paint
Creating a Virtual paint using opencv-python
website
personal website
disney-data-science-tasks
Creation of a Disney Movie Dataset & Analysis using Python
document-scanner
Apply warp perspective to get the top-down view of a document using opencv
first-contributions
🚀✨ Help beginners to contribute to open source projects
friendship-dare
A simple friendship dare website that uses queries to transfer data
OpenRefine
OpenRefine is a free, open source power tool for working with messy data and improving it
pygame
Simple games on python
sklearn
Data & Code associated with my tutorial on the sci-kit learn machine learning library in python