Mlearning.ai

MARCH 15, 2023

Build a Stocks Price Prediction App powered by Snowflake, AWS, Python and Streamlit — Part 2 of 3 A comprehensive guide to develop machine learning applications from start to finish. Introduction Welcome Back, Let's continue with our Data Science journey to create the Stock Price Prediction web application.

Python 52

Python Machine Learning Data Extraction Data Analysis 52

AWS Machine Learning Blog

APRIL 7, 2023

Next, using an AWS Cloud9 environment or interactive development environment (IDE) of choice, download the requisite SageMaker packages and Docker Compose , a key dependency of JumpStart. script to retrieve the JumpStart model artifacts and deploy the pre-trained model to your local machine: python train_model.py Run the train_model.py

BERT 103

BERT Metadata Natural Language Processing ML 103

Heartbeat

NOVEMBER 6, 2023

If you have an idea about both but don't have docker or docker-compose installed on your system, you can check out this link for installing both on Ubuntu. Windows and Mac have docker and docker-compose packaged into one application, so if you download docker on Windows or Mac, you have both docker and docker-compose.

ETL 52

ETL Python Metadata Deep Learning 52

Mlearning.ai

FEBRUARY 18, 2023

with sdk v2 import libraries import tqdm import matplotlib.pyplot as plt import numpy as np import pandas as pd import seaborn as sns sns.set_style("whitegrid") import the data set # Import required libraries from azure.identity import DefaultAzureCredential from azure.identity import AzureCliCredential from azure.ai.ml

Machine Learning 52

Machine Learning ML Automation Linked Data 52

AWS Machine Learning Blog

DECEMBER 19, 2024

The trafilatura library provides a command-line interface (CLI) and Python SDK for translating HTML documents in this fashion. The following code snippet demonstrates the librarys usage by extracting and preprocessing the HTML data from the Fine-tune Meta Llama 3.1 models using torchtune on Amazon SageMaker blog post.

LLM 58

LLM Machine Learning Natural Language Processing ML 58