course-v3

The 3rd edition of course.fast.ai

coursera-machine-learning-engineering-for-prod-mlops-specialization

Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai

crackingthesqlinterview

"Cracking the SQL Interview" is a comprehensive guide for individuals who are preparing for a job interview related to SQL.

customer-segmentation-with-excel

Main tasks for this coporate project : Data Quality Assessment (Assessment of data quality and completeness in preparation for analysis) Data Insights (Targeting high value customers based on customer demographics and attributes) Data Insights and Presentation (Using visualisations to present insights)

customer-transactions-analysis-project

Real world cooperate Project I will be conducting analysis on client's transaction dataset and identify customer purchasing behaviours to generate insights and provide commercial recommendations.

customersegmentationml

Customer Segmentation Machine Learning using K-Means Clustering Algorithm

data-analyst-nanodegree-project-portfolio

This repository contains a collection of all the capstone projects made for the Data Analyst Nanodegree Certification - Udacity

data-analyst-portfolio

deep-learning-projects

This repository contains all the deep learning projects done as tutorial

deep_learning_projects

DeepLearning Models using Keras framework

deeplearning

A deep learning code base, mainly for paper replication, in the areas of image recognition, object detection, image segmentation, self-supervision, etc. Each project can be run independently, and there are corresponding articles to explain.

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow

deeplearningpractice

about deep learning projects

deeplearningreading

Deep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)

deeplearningstars

Top Deep Learning Projects based on their Stars!

di-engine

OpenDILab Decision AI Engine

dvc

🦉 Data Version Control | Git for Data & Models | ML Experiments Management

e-commerce-sales-data-analysis

I'll be performing some Analysis on this transnational dataset which contains all the transactions for a UK-based and registered non-store online retail. The company mainly sells unique all-occasion gifts. Many customers of the company are wholesalers.

e2e-mlops

[DEPRECATED] Demo repository implementing an end-to-end MLOps workflow on Databricks. Project derived from dbx basic python template

e2e_fake_news_classifier

An End to End MLOps Pipeline for a fake news detector model.

engineeringmlops

Engineering MLOps, published by Packt

euphoric_fiddler

Euphoric Fiddler is a bunch of random experiments and scripts in data preprocessing and image filtering. It includes some notebooks on recommendations based on category and collaborative filtering. None of the code is optimised for production and is largely used as a reference to quick scripts and as a playground.

evidently

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

feature-engineering-for-machine-learning

Code repository for the online course Feature Engineering for Machine Learning

flowise

Drag & drop UI to build your customized LLM flow

forml

ForML - A development framework and MLOps platform for the lifecycle management of data science projects

fsdl-text-recognizer-2022-labs

Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022

globalmarketanalysiswithtableau

We'll be exploring and analyzing a "Global Market" dataset with SQL, then visualizing it using Tableau.

googleappsanalysis

Analyzing various apps found on the Google Play Store with the help of different python libraries. The dataset is chosen from Kaggle. It is the web scraped data of 10k Play Store apps for analyzing the Android market. It consists of in total of 10841 rows and 13 columns.