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dl_course

dl_nlp_course

dlandnlp

ds_exercises

Exercise Notebooks for Data Science Training

entityembedding-working_example

This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical Features for Training a Neural Network.

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

fastpages

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

fsdl-text-recognizer-2021-labs

Complete deep learning project developed in Full Stack Deep Learning, Spring 2021

genai_llm

The notebooks for the GenAI and LLM Course

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.

happy2hire

Job Hiring Website

hive-demo

Following along with the Hive tutorial at StrataConf / HadoopWorld

iimbclasses

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

interpretable_machine_learning_with_python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

intro2stats

Introduction to Statistics using Python

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

isb_mlul

isbnlpv1

learndatascience

A fork of the LearnDataScience tutorials for learning beginner data science in python with my own work included, I don't have much experience with python, so the code isn't the best. You can find the original here https://github.com/nborwankar/LearnDataScience

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

llm-applications

A comprehensive guide to building RAG-based LLM applications for production.

llmtutorials

Tutorials for LLMs

lm-hackers

Hackers' Guide to Language Models

loghub

A large collection of system log datasets for AI-powered log analytics

machine-learning-specialization

Exercises and programs developed under Machine Learning Specialization by University of Washington.

machine-learning-with-python

Python code for common Machine Learning Algorithms

mica_classes

Materials for MICA Classes

mlazuredepv1

mlcoursev1