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jmitchel3
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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.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
The "Python Machine Learning (2nd edition)" book code repository and info resource
A better notebook for Scala (and more)
comparing stand up comedians using natural language processing
Detecting cinema shot types using a ResNet-50
Learn how to scrape websites with Python, Selenium, Requests HTML, Celery, FastAPI, & NoSQL with Cassandra via AstraDB.
Learn to create & deploy a deep learning algorithm into a production REST API microservice using Python, Keras, FastAPI, & NoSQL.
Learn to build a basic machine learning model from scratch with this repo and tutorial series.
Learn to create an AI Travel Agent with FastAPI, Next.js, MariaDB, MindsDB, OpenAI, and more!
Scrape websites asynchronously with Python 3.8+, Asyncio, & arsenic (aka Selenium for Async).
Step-by-step tutorial to extract data, analyze, and decide on stocks in the market using Django, Celery, TimescaleDB, Jupyter, OpenAI, and more.
Turn your python projects into a task master and scheduling genie with the magic of Celery & Redis. This is Time & Tasks 2.
Notebook with the necessary instructions and code to clean your computer vision dataset
Learn how to take a scraped dataset and turn it into Django models using inspectdb. You can also use this method for legacy databases.
Learn how to schedule regular web scraping, save the data, and more with Django & Celery.
This repository is the exact code used in the course. For the complete & most up to date project go to https://github.com/codingforentrepreneurs/AI-as-an-API
Various notebooks we're working on from either our blog cfe.sh/blog or as general research.
Leverage modern open-source tools to create better web scraping workflows.
Learn how to use Python to load, adjust, and change data from both Google Sheets and Google Drive using Google Colab.
In this series, we're going to learn the fundamentals of the popular Python data science tool called Pandas.
Learn how to use LangChain to build AI bots that can reason, use your data, and search the internet.
Lean how to create an AI Slackbot with Django, Celery, Upstash Serverless Redis, and more.
Learn how to build your first neural network using Keras and Tensorflow to do Deep Learning!