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ClearThis example demonstrates how to set up Llama 2 in a notebook to do inference
This notebook demonstrates how to use the Azure Storage Blobs client library for Python. Azure Blob storage is Microsoft's object storage solution for the cloud
The Finance Database tries to solve that. It features 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets
LangChain focuses on constructing indexes with the goal of using them as a Retriever
genai is an IPython extension that can help you diagnose errors and exceptions quickly
Fortuna offers three different usage modes: From uncertainty estimates, From model outputs and From Flax models
Automate SEO content generation on any topic using Noteable, Google Search, Transformers and OpenAI GPT-3 API. #NLP #OpenAI #GPT-3.
Funnels are everywhere. They're so common that you might say we live in a world of funnels
Homegrown "DALL-E" with CPUs only leveraging Stable Diffusion
Polars represents data internally using Apache Arrow arrays while Pandas stores data internally using NumPy arrays
You Might Be Uncertain About ChatGPT but Have You Ever Wondered What ChatGPT is Uncertain About
This notebook walks through a simple LSTM in JAX with Haiku
Apply an Exploratory Data Analysis (EDA) uncover insights about the employee retention and the patterns or factors driving attrition
Noteable's SQL cells can be used to create tables, insert or update rows and any other SQL data modifications, as long as the underlying database permissions
Use W&B for machine learning experiment tracking, dataset versioning, and project collaboration
Pydeck is a Python library for creating interactive maps and 3D visualizations using WebGL. It is built on top of the popular deck.gl library
Seaborn provides a high-level interface for creating informative and attractive statistical graphics.
Folium is a Python library used for creating interactive maps and visualizations. It is built on top of the Leaflet.js library
We show that passing input points through a simple Fourier feature mapping enables a multilayer perceptron (MLP) to learn high-frequency functions
Matplotlib is a popular data visualization library in Python that allows users to create a wide range of high-quality 2D and 3D plots, charts, and graphs.
In this tutorial, we use Feast to generate training data and power online model inference for a ride-sharing driver satisfaction prediction model
This notebook uses OpenSky's HTTP Rest API to detect flights positions
We are training an image classifier from scratch on the Kaggle Cats vs Dogs dataset
In this R notebook, we'll use ggplot2 to explore some data from the Star Wars movies.
Plotly is a powerful and interactive data visualization library that allows users to create high-quality and interactive graphs, charts, and dashboards
Comet’s machine learning platform integrates with your existing infrastructure and tools
Messy datasets? missingno provides a small toolset of flexible and easy-to-use missing data visualizations and utilities that allows you to get
Plotnine is a Python data visualization library built on top of the popular ggplot2 library from the R programming language
Understanding how the frequency of natural hazards has evolved over the years for these countries could help with looking into their development
A trait can be defined as a biological attribute like eye or hair color. As it relates to farming, traits could include the size of a crop, its structure
Veganism is the practice of abstaining from animal products, particularly in diet. Well-organized vegan diets are regarded as appropriate for all stages
Comparison charts in Data Explorer (DEX) are used to compare data points by category, enabling aggregation or directly at the row-level
Use Python and VerticaPy to predict healthcare costs with Machine Learning. Noteable Data Notebook + VerticaPy Speeds = 🚀 Data Science Project Lifecycle
Vega is an open-source data visualization grammar that allows you to create interactive and customizable visualizations using a declarative language
This tutorial walks through an example using DEX's parallel coordinate features. The data we're using comes from Indian Food 101
This tutorial shows you how to make custom reports using the Twilio REST API to access your data and drive your insights
This project walks through data exploration and feature selection for advertising performance data for a large retailer. See how EDA is a breeze with DEX
This cell notebook uses Trino to query an Apache Hive database in EMR. This demo generates a Word Cloud from a repository of global news articles
This notebook connects to a Snowflake demo DB containing retail customer data. The results are then displayed on a radar chart to show the customer segmentation
This notebook shows an example code that connects to Confluent Cloud to leverage Kafka and KSQL in order to work with Distributed Data Streaming technology
This cell shows an example code that queries a database in Databricks containing the 2021 World Happiness Report
This notebook shows an example code to learn how to read and write data to and from S3 object storage
This notebook shows an example code that queries a public BigQuery dataset containing a list of medicare nursing facilities by state
Leverage DEX (Noteable's visual data explorer) to quickly perform Exploratory Data Analysis. See how #DEX frees up 100+ hours/year for a data scientist
Michigan drivers pay 🤯 $5800 + for car insurance. Explore more Auto Insurance Data - Premiums, Claims and Percent Insured Drivers per State!
This short template notebook walks you through examples of how to fetch data from an any API
The average American consumer is will spend $192.80 on Valentines Day 2023. That's a 10% increase from 2022. Explore more fun facts about valentines day
Despite the growing number of households using smart home devices, statistics show a slowdown in the market’s growth rate
We use our access to the Twitter API to show how you can use Noteable to access Twitter data
Explore how Anticancer drug development is driven by demand, usage by health institutions, and disease prevalence
Analyze clickstream / web traffic data with Python and use DEX to visualize various paths users take to discover, interact with, and use a product
Altair is a Python library used for creating interactive visualizations of data. It is built on top of the Vega-Lite visualization grammar
In this project, we will do a quick analysis of environmental data to assess changes in climate conditions
We all know what it is like to feel stressed and being under pressure is a normal part of life
We see that Consumers Spending in Billions increased steadily year-over-year apart from 2010, 2013, 2016, and 2021
This example connects to Amazon Redshift database and creates a scatterplot matrix (SPLOM) to visualize data from Heart failure clinical records
The estimate of average 2015 Christmas spending is at its highest point, 830, since 2007’s pre-recession amount of 866. 2015 also has the third-highest spending
This example shows how to query a PostgreSQL database to return data about campaign donations from a dataset containing Santa Cruz County Donations
Envirofacts provides a single point of access to U.S. EPA environmental data contained in U.S. EPA databases
GeoPlotlib is an open-source Python library for creating dynamic and interactive visualizations of geographical data
Bokeh is a Python library for creating interactive visualizations for modern web browsers
Pygal is a Python module that allows you to create interactive and customizable vector-based graphs and charts
