This repository contains all the deep learning projects done as tutorial

Benchmarking computational single cell ATAC-seq methods

Python tutorial: start here if you don't know Programming

Data Engineering, Data Warehouse, Data Mart, Cloud Data, AWS, SAS, Redshift, S3

This repository contains codes for all the Undergraduate Labs for I.T branch : N.S.U.T

A repo that helps you to create certificates in bulk easily

You can find projects about Predictive Analytics for Business. There are 6 projects in this repo.

The Jupyter Notebook Programming language IDE submodule for SNU Programming Tools (2D Mode)

Material of the master-level course "Observational Astrophysics II" at the Department of Astronomy of Stockholm University.

If you visit any recipe websites, let’s say food.com, for example, you will notice a section called “You’ll also love.” Under this section, the website recommends recipes related to the one you are looking at or based on your past rating patterns. The end objective of this project is to perform EDA and extraction from the raw data using PySpark

An interactive tool for fitting Butler-Volmer equations to potentiodynamic scan data in Jupyter Notebook. Provides corrosion parameters and user-friendly plotting with features like IR compensation and axis switching. Requires Python 3.8 (Anaconda).

Various simple experiments with the Metropolis-Hastings algorithm and ordinary Monte Carlo methods. Personal project, autumn 2019.

🧠️🖥️2️⃣️0️⃣️0️⃣️1️⃣️💾️📜️ The sourceCode:JupyterNotebook category for AI2001, containing JupyterNotebook programming language datasets

Quantity Takeoff with Jupyter Notebook

A end to end project with with EDA done on PowerBI deployed on Heroku which predicts if the Customer would Churn or not by using Random Forests Classifier as its model

To predict selling house prices based on historical data for Ironhack's mid-bootcamp project. Also, Linear Regression practice.

This assignment used Python-Pandas to analyze the 'Heroes of Pymoli' fantasy game and generate a report from the purchasing data to create meaningful insight.

It is a Problem Which I got During the ZS Data Science Challenge From Interview Bit Hiring Challenge Where I secured a 40th Rank out of 10,000 Students across India. It is a Dataset which requires Intensive Cleaning and Processing. Here I have Performed Classification Using Random Forest Classifier and Used Hyper Tuning of the Parameters to achi…

final project for ece143

ComputerVision Project