This repository contains materials from all disciplines of the fourth semester

A Kahn process base class along with an operating system API and a pin-accurate bus model for refinement of KPN models in SystemC

This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!

This repository contains all data science projects taken in the IBM data science course.

Independent Project - Kaggle Dataset-- I worked with the News Category Dataset, which provided a headline and description, etc. in .json format; used NLTK for NLP, tokenizing, lemmatizing, and finding part-of-speech; trained and tuned parameters on classifier models to predict news category based on headline text.

This is data analysis powerful exam paper powered by Coursera. Which i solved using python simple way. Data Analysis, Data Visualization, Model Development, Data warangling, Model Evolution And Refinement most of the important topic are covered in this repo..

This repository contains a Python script for analyzing house sales data in the USA, employing machine learning techniques for data preprocessing, exploratory data analysis, and model development. It includes modules for data wrangling, EDA, model evaluation, and refinement.

In this series of notebooks, we will dive into each step of the data analysis process of a data set with some information about a list of cars and several attibutes, including their prices. So essentially we will develop a model to predict cars price.

Explainable Debugger for Black-box Machine Learning Models

Data and code for the manuscript "Assessing the utility of CASP14 models for Molecular Replacement: https://doi.org/10.22541/au.162412334.48194370/v1

Data analysis with Python to building and evaluating data models.