Data Analysis and Machine Learning using SQL and Google Data Studio
#bigquery #dataanalysis #machinelearning
In this webinar, I will be presenting on how to build a production-ready Multiple Time Series model using a bunch of simple SQL queries on big data scale data. We will also perform a detailed analysis of time series data using Google Data Studio visualization tool. Below topics will be covered in detail
Data Analysis using Google Data Studio
Exploratory Data Analysis
Understanding BigQuery and BigQuery ML
Build Multiple Time Series Model using SQL
Understand Trained Model and Parameters
Evaluate and Forecast Future Value
Visualize Forecasted Output
We will be using BigQuery, BigQuery ML, and Google Data Studio in this webinar
Видео Data Analysis and Machine Learning using SQL and Google Data Studio канала AIEngineering
In this webinar, I will be presenting on how to build a production-ready Multiple Time Series model using a bunch of simple SQL queries on big data scale data. We will also perform a detailed analysis of time series data using Google Data Studio visualization tool. Below topics will be covered in detail
Data Analysis using Google Data Studio
Exploratory Data Analysis
Understanding BigQuery and BigQuery ML
Build Multiple Time Series Model using SQL
Understand Trained Model and Parameters
Evaluate and Forecast Future Value
Visualize Forecasted Output
We will be using BigQuery, BigQuery ML, and Google Data Studio in this webinar
Видео Data Analysis and Machine Learning using SQL and Google Data Studio канала AIEngineering
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
![Deploying Machine Learning Pipelines using PyCaret](https://i.ytimg.com/vi/MQCzehNPqes/default.jpg)
![AI Uncensored - Data Science Q&A and connect with Industry experts](https://i.ytimg.com/vi/eobVlHfuPaI/default.jpg)
![Model Deployment Deep Dive using Containers, Google Cloud Run and App Engine](https://i.ytimg.com/vi/kyQH71pB0vI/default.jpg)
![Time Series Data Analysis and Exploratory Analysis - A Deep Dive](https://i.ytimg.com/vi/3sH1kisAK9s/default.jpg)
![Understanding Artificial Intelligence and Its Future | Neil Nie | TEDxDeerfield](https://i.ytimg.com/vi/SN2BZswEWUA/default.jpg)
![APIs for Beginners - How to use an API (Full Course / Tutorial)](https://i.ytimg.com/vi/GZvSYJDk-us/default.jpg)
![Machine Learning Zero to Hero (Google I/O'19)](https://i.ytimg.com/vi/VwVg9jCtqaU/default.jpg)
![Artificial Intelligence Trends for 2021 and Beyond](https://i.ytimg.com/vi/MtvH_5hd5Oc/default.jpg)
![MIT Introduction to Deep Learning | 6.S191](https://i.ytimg.com/vi/njKP3FqW3Sk/default.jpg)
![Risto Siilasmaa on Machine Learning](https://i.ytimg.com/vi/KNMy7NCQDgk/default.jpg)
![Logistics Regression and Feature Engineering using SQL - BigQuery ML](https://i.ytimg.com/vi/pX4P6uG1CuU/default.jpg)
![The opportunities with AI and machine learning](https://i.ytimg.com/vi/954inChlPxE/default.jpg)
![Model Deployment Architecture explained with business use case - Part 3](https://i.ytimg.com/vi/O2RlquSP6bc/default.jpg)
![Data Science Interview with a PayPal Data Scientist (Roman Numeral)](https://i.ytimg.com/vi/9mFaPhwsAb4/default.jpg)
![Getting started with Google Cloud AI Platform - Hands On Session](https://i.ytimg.com/vi/y63OIKPe52Y/default.jpg)
![Artificial intelligence and algorithms: pros and cons | DW Documentary (AI documentary)](https://i.ytimg.com/vi/s0dMTAQM4cw/default.jpg)
![Data Science Career and Learning path Discussion on Ravit Show](https://i.ytimg.com/vi/4GcS07UA3HQ/default.jpg)
![Data Structures for Beginners Full Course Tutorial](https://i.ytimg.com/vi/YOfXMQnUlZY/default.jpg)
![End to End Machine Learning Pipeline using Tensorflow](https://i.ytimg.com/vi/wPri78CFSEw/default.jpg)
![2020 Machine Learning Roadmap (still valid for 2021)](https://i.ytimg.com/vi/pHiMN_gy9mk/default.jpg)