Sudarshan Koirala's Projects
30 days of Databricks is a step-by-step guide to learn Databricks in 30 days for complete beginners.
Apache Airflow tutorial
Building an Artificial Neural Network (ANN) in TensorFlow 2.0 for fashion MNIST dataset
Using Artificial Neural Networks(Regression Task) to predict how much a customer is willing to pay for a car using the different features of Customer
Using Apriori model to find the association between different products in a store
Bluffing Detector using Different Non-Linear ML models
App to add book list with JS
Using Support Vector Machines (SVM) in breast cancer classification
Sample code for Channel 9 Python for Beginners course
Simple Streamlit app to have interaction with your csv file.
Simple Streamlit and Chainlit app to have interaction with your website URL.
Simple ChatGPT like AI bot using ChatGPT API from OPENAI.
Using K-Means Clustering and Hierarchical clustering on same dataset and comparing the prediction
Building a Convolutional Neural Network in TensorFlow 2.0 for cifar10 dataset
Using CNN for classifying dogs and cats images
The 3rd edition of course.fast.ai
Coursera's Machine Learning by Andrew Ng
Generate LlamaIndex apps with a command line tool, create-llama
Using different machine learning and deep learning models to detect the credit card fraud detection
Build CRUD application using JavaScript modules.
Repo with data engineering resources
Cheat Sheets
Collection of useful data science topics
Repo for dbt practice
Using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) on same dataset and analyzing the best one
This repo contains datasets that can be used for exploration and training ML models.
The https://www.freeCodeCamp.org open source codebase and curriculum. Learn to code for free together with millions of people.
Building an Artificial Neural Networks (ANN) to access the churn rate of a customer (whether a customer will leave the bank or not)
Search GitHub Users and their repositories
:zap: Dynamically generated stats for your github readmes