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anz_llm_bootcamp

australian-postcodes

List of Australian Post Codes and Suburbs

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

autoscraper

A Smart, Automatic, Fast and Lightweight Web Scraper for Python

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

azure-mlops-learn

azure-search-openai-demo

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

benchmark_agents

bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

causality

Tools for causal analysis

causalml

Uplift modeling and causal inference with machine learning algorithms

chatgptcsv

This work tries different method to querying on CSV file

coding-problems

Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures

coursera-deep-learning

My notes / works on deep learning from Coursera

customer-survival-analysis-and-churn-prediction

In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.

data-science-interviews

Data science interview questions and answers

datascience_marketing

Here I'll publish all of my personal projects that relate to Data Science in Marketing

datasciencewithpython

This contains python notebooks for Data Analysis

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal in

examples

fastbook

The fastai book, published as Jupyter Notebooks

full-speed-python

Full Speed Python: a book for self-learners

generative-ai

Sample code and notebooks for Generative AI on Google Cloud

generative-ai-pharmacist

Generative AI Pharmacist (For Demo Purposes Only)

gensim

Topic Modelling for Humans

introduction-to-machine-learning

This repo will house all our course material and code snippets from the Introduction to Machine Learning Class

langchain

⚡ Building applications with LLMs through composability ⚡

learn-python

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.