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advanced-qa-and-rag-series

This repository contains advanced LLM-based chatbots for Q&A using LLM agents, and Retrieval Augmented Generation (RAG) and with different databases. (VectorDB, GraphDB, SQLite, CSV, XLSX, etc.)

ai-bootcamp

Self-paced bootcamp on Generative AI, LLMs & AI Agents

ai-in-a-day

AI features in Power BI

ask-multiple-pdfs

A Langchain app that allows you to chat with multiple PDFs

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

books

Collection of Programming, Databases, Linux & Tools Books

chemgan-challenge

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

cleaning-titanic-data

One of the most popular starter data sets in data science, the Titanic data set. This is a data set that records various attributes of passengers on the Titanic, including who survived and who didn’t. Here I have detected some missing value, replace the missing values and also create new values added to the dataset. There are two csv files, first one is titanic_original.csv and second one is tatanic_clean.csv. Second csv is generated from the R code, called 'titanic.r' here. Have fun.

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

content-aws-mls-c01

Mike Chambers Machine Learning Specialty - July 2018

cortanaintelligencesuiteworkshopmanual

This repo contains the workshop manual for the Microsoft Cortana Intelligence Suite End-to-End Workshop.

cortanaintelligenceworkshopprereqdeployment

crewai

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

crewai-examples

data-analysis

Data Science Using Python

datascience

deep-learning-books

deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

demo1

deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

dp100

Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure

enronfraud

Fraud Detection by finding the Person of Interest (POI)

freecodecamp

freeCodeCamp.org's open source codebase and curriculum. Learn to code at home.

gitdata

h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow

Part I: Notebooks & Code "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

handson-ml

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

house_prices_project

House Prices project from Kaggle.

kaggle-titanic

A clojure implementation of Kaggle.com's titanic project