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basic-analysis-of-feedbacks-using-nlp

This notebook contains a basic analysis of some tagged feedbacks borrowing techniques from NLP. Each feedback can have multiple tags. The goal is to tag a new feedback.

bayesian_hyperparameter_tunning

It contains the importance of hyperparameter tuning to extract the best performance out of a machine learning model given the data.

carnd_advanced_lane_finding

Contains files for the Project

carnd_behavioral_cloning-

carnd_project_2

Contains the files from Deep Learning

cis521

Intro to Artificial Intelligence (Don't steal my code bro!)

competition

conformal_prediction

This repo contains the necessary info regarding the Conformal Prediction. It specifically contains references that I am going to use for my project but also contains reference to other more extensive github resources

diffusion_and_bayesian_inference

This repo contains information regarding Diffusion Models and Bayesian Statistics

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

gnn_repo

Contains reference papers and other info related to Graph Neural Network

llm_finetuning

Resources on fine tuning LLMs on specific set of data

machine-learning

Content for Udacity's Machine Learning curriculum

ml_resources

mlops_resources

Contains information about MLops resources such as the Stanford course and GokuMahandas's course(highly recommended)

monitoring-drift

Contains information and resources about Monitoring Data Drift

mypracticecodes

This is where I keep all my working codes (optimized or not)

neural-net-troubleshoot

Contains information gathered from different sources about trouble shooting NN training

portfolio

pytorch_geometric

Graph Neural Network Library for PyTorch

synthetic-data-generation-repo

Contains information (Blog posts, papers and software) about Synthetic Data (mostly Tabular) generation

tridib_portfolio

Data Science / Data Analytics Portfolio

ud120-projects

Starter project code for students taking Udacity ud120

variational_ae_resources

Contains all the sources I have used to build VAE