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README.md

1. Introduction

Instructor: Alexey Grigorev

1.1 Introduction

1.2 Environment preparation

1.2.1 GitHub Codespaces

OR

1.2.2 VM in AWS

Note: You don't have to rent an instance in the cloud. You can follow the same instructions for setting up your local environment.

Code:

Recommended development environment: Linux

Step 1: Download and install the Anaconda distribution of Python

wget https://repo.anaconda.com/archive/Anaconda3-2022.05-Linux-x86_64.sh
bash Anaconda3-2022.05-Linux-x86_64.sh

Step 2: Update existing packages

sudo apt update

Step 3: Install Docker and Docker Compose

Follow the instructions here: install-using-the-repository
Set up Docker's apt repository.

# Add Docker's official GPG key:
sudo apt-get update
sudo apt-get install ca-certificates curl
sudo install -m 0755 -d /etc/apt/keyrings
sudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg -o /etc/apt/keyrings/docker.asc
sudo chmod a+r /etc/apt/keyrings/docker.asc

# Add the repository to Apt sources:
echo \
  "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/ubuntu \
  $(. /etc/os-release && echo "$VERSION_CODENAME") stable" | \
  sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
sudo apt-get update

Install the Docker packages.

sudo apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin

To run docker without sudo:

sudo groupadd docker
sudo usermod -aG docker $USER

Step 4: Run Docker

docker run hello-world

If you get docker: Got permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Post "http://%2Fvar%2Frun%2Fdocker.sock/v1.24/containers/create": dial unix /var/run/docker.sock: connect: permission denied. error, restart your VM instance, or run: sudo dockerd

Note: If you get It is required that your private key files are NOT accessible by others. This private key will be ignored. error, you should change permits on the downloaded file to protect your private key:

chmod 400 name-of-your-private-key-file.pem

1.3 (Optional) Training a ride duration prediction model

Note: The NYC taxi data is now in parquet format, not CSV. Here's a video that explains how to read parquet data.

Links:

1.4 Course overview

1.5 MLOps maturity model

Links:

1.6 Homework

More information here.

Notes

Did you take notes? Add them here: