# Vignya Durvasula

## The 3x+1 Collatz Conjecture Math Problem Explained

Regarding math problems, theories, or conjectures, some are not proven on a large scale and some are as mysterious and unsolved as they were when introduced. Mathematicians and researchers worldwide are working continuously to prove these theorems and we occasionally hear them succeed. The Collatz conjecture, also called the 3x + 1 problem or hailstone […]

## What Are the Pre-trained Models Available in PyTorch?

When it comes to machine learning or deep learning projects, the important and most crucial step after collecting and preprocessing data is the model selection. Choosing the right model will result in good accuracy on the training data and performance on the test data. PyTorch offers various pre-trained deep learning models like ResNet, AlexNet, VGG,

## A Quick Guide to Pytorch Loss Functions

Neural Networks can do pretty much everything. From classifying whether the given is a cat or a dog, object detection and even generating new images, they have many functionalities. As impressive as they are, building or training a neural network model is not a piece of cake. To get things done correctly using these models,

## Walk Through the HDF File Using Pandas

Imagine you are working on a big project that needs data from multiple sources. Agreed that collecting this data is cumbersome as it is, but storing the data together for easy access is an even more gruesome task. You would have to look for software or a tool that keeps together all your files in

## Exploring HDFStore Groups: Efficient Data Organization in Pandas

The Pandas library is regarded as the best Python tool for data analysis and storage. The library has several useful methods that export data from the Python environment to other compatible software and vice versa, cleaning and exploring the data. One such family of methods in the library is the HDFStore, which is used to

## How to Select an Object in an HDF File With Certain Conditions?

The need for alternatives to conventional data storage formats is growing day by day with the data complexities. Such storage formats must be able to store enormous data efficiently and retrieve or select the required information seamlessly. Gone are those days when data scientists used to believe CSV was their only savior. Now, we are

## How to Retrieve a Pandas Object Stored in an HDF File?

The HDF5 file format provides an efficient way to save and retrieve Pandas data objects like DataFrames. If you have already worked with Pandas and want to learn how to persist your data for later reuse, this article will show you how. We will focus specifically on how to store DataFrames in HDF5 files using

## Storing Data Frames and Series in HDF5 Files: A Complete Guide

With the growing need for data for almost every task related to data science and machine learning like Regression, Classification, or time series prediction, the need for storing and managing data is also growing rapidly and proportionately. Consider Reading this article on Regression vs Classification Sometimes, we might need to store the data obtained in

## How to Read SAS Files Using Pandas?

Technologies like data science and machine learning rely on robust data infrastructure to function properly. That’s why tools like SAS Institute’s Statistical Analysis Software and Python have become so popular. SAS specializes in data management, predictions, business intelligence—areas that help tame data. It’s used extensively in clinical analysis, research, investigating crime, and other data-rich domains.

## How to Display Detailed Info About the HDF Store?

Hierarchical Data Format(HDF) is a data storage technique that stores the data and the metadata of multiple files under a single file. The National Center for Super-Computing Applications(NCSA) has come up with this new storage format for the manipulation and storage of scientific data. NCSA has also developed the tools for creating and reading HDF