kartikeythedatawrangler Goto Github PK

100-days-of-machine-learning

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

al-go-rithms

:musical_note: Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/

bentoml-mlflow

calflask

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

course-master-big-data-with-pyspark-and-aws

Master Big Data With PySpark and AWS

customer_segmentation

An end-to-end project on customer segmentation

daily-dose-of-data-science

A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/

data-science

Collection of useful data science topics along with articles, videos, and code

dl-simplified

Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013

fastapi-docker-kubernetes-streamlit

fastapi-with-tailwindcss

How to setup FastAPI with TailwindCSS

flaskineuron

fmd_docker2

fundamentals-handson

Files for the Docker and Kubernetes Fundamentals Hands-On labs

gitpractise

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hap

heart_disease_prediction

Heart Disease prediction using 5 algorithms

image_scaper_fsdm

img_scraper

ineuron-test

ineuron_assignments

kaggle-projects

lgm-internsip

linkedinposts

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

made-with-ml

Learn how to responsibly develop, deploy and maintain production machine learning applications.

ml-pipeline-using-stroke-data

This project demonstrates the implementation of a ML pipeline and CI/CD using data on heart strokes. The pipeline includes data preprocessing, model training and evaluation, and deployment. The project leverages GitHub for version control and integration with GitHub actions for efficient and automated model updates.