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Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
NormVAE Model on NeuroImaging data: Paper Implementation
Implementation of the paper: “NormVAE: Normative modeling on NeuroImaging data using Variational Autoencoders”. I trained the model with our own custom dataset of MCI/AD patient data from ADNI. Generated the deviation maps for studying how much the diseased brain region volumes deviate from that of Healthy Controls.. 
Axis Bank Stock Data Analysis
The project is based on the dataset I obtained from kaggle. The Analysis I am performing is on the ‘AXISBANK’ stock market data from 2019-2021.AXISBANK is one of the stocks listed in NIFTY50 index. 
Research Themes
Page contains updates about my current research interests
Software
Page contains my software projects and other open-source contributions
Posts
Neural Networks for Regression with TensorFlow
Published:
This Notebook demonstrates modelling regression problems using Neural Networks with TensorFlow. Neural Networks can approximate non-linear relationships within dataset.They can be used for regression problems as well as classification problems.
TensorFlow Fundamentals
Published:
This post demonstrate the fundamental concepts in TensorFlow. TensorFlow is an end-to-end open souce Machine learning framework developed by Google. It can be used to implement complex deep learning models using inbuilt methods. It also blends very nicely with NumPy so we can use the Numpy Arrays in TensorFlow. This is one of the first post in the Deep learning with TensorFlow series.
Logistic Regression with a Neural Network Mindset
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This notebook demonstrates, how to build a logistic regression classifier to recognize cats. This notebook will step you through how to do this with a Neural Network mindset, and will also hone your intuitions about deep learning.
Pandas Data Analysis Basics Tutorial
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This tutorial demonstrates data analysis using example from two data sets using the Pandas Library. All the important operations are described in markdown cells.
Guide to Numpy Operations
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Numpy is a python library used to create, modify and interact with Arrays. It is a very vast and powerful library which is very essential for data analysis tasks. The Numpy library basic routines are very simple and easy to learn. Numpy is also known for scientific computation since it can handle large amount of data in the form of arrays.
Python Basics Tutorial
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Basic Python Tutorial covering syntax of python and basic operations in python.
notes
Machine Learning Course Notes (AndrewNg Course)
My entire Machine learning course notes along with code implementations for all algorithms. The notes are based on the course taught by AndrewNg offered by stanford on Coursera
Computing Trajectories of the Lorenz system using Adaptive Runge-Kutta Method
Computing Trajectories of the Lorenz System using Adaptive Runge-Kutta Method
portfolio
publications
A Brief Survey on Fine-Tuning LLaMA 7B Model using parameter efficient fine-tuning methods
talks
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.