Sanjay Kumar PhD's Projects
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
[LLM Security] Protecting Your LLMs with Information Bottleneck
Notebooks from IBM Advanced Data Science Specialization on Coursera
Coursera 9-Course Specialization
Prediction of World Cup 2019 using Artificial Intelligence and Machine Learning.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
A simple REST API for state-wise COVID-19 cases in India
Inferential Statistical Analysis with Python - Coursera - University of Michigan
A bunch of books I have read/want to read
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Coursera - Introduction to Deep Learning and Neural Networks with Keras (Offered By IBM)
[Coursera] Introduction to Discrete Mathematics for Computer Science Specialization
(WIP) Getting started with Docker - An introduction to Docker with data science and engineering applications
The notebooks used for the Introduction to TensorFlow for AI, ML and DL course on Coursera by deeplearning.ai
Hands on deep learning/neural network practice with professor andrew ng and google brain AI advocate "Laurence Moroney",link of this coursera course : https://www.coursera.org/learn/introduction-tensorflow#utm_source=email&utm_medium=dl.aiGeneralListCTA&utm_campaign=TFSC1Announcement
Notebooks and code for the book "Introduction to Machine Learning with Python"
Simple introduction to LLM Agents
Jenkins - Deployment API Integration Example
An open-sourced LLM judge for evaluating LLM-generated answers.
Matplotlib Jupyter Extension
Kaggle problem solving
Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.
This is the code for "K-Means Clustering - The Math of Intelligence (Week 3)" By SIraj Raval on Youtube
A tutorial for setting an SQL code generator with the OpenAI API