Data Modeling & Design
pdf | | 2024-09-04 | Author:Jean-Georges Perrin & Eric Broda
( Category:
Data Modeling & Design
September 10,2024 )
pdf | | 2024-01-25 | Author:Lee, Pui Shing;Charm, Toa;
( Category:
Data Modeling & Design
July 4,2024 )
pdf | | 2011-09-28 | Author:E. Minami & H. Shibata & M. Nomoto & T. Fukuda
( Category:
Data Modeling & Design
June 1,2024 )
pdf | | 2020-07-02 | Author:I. Jovovic & V. Grossi & P. Adam & L. Simon & I. Antheaume & F. Gelin & M. Ader & P. Cartigny
( Category:
Data Modeling & Design
May 25,2024 )
epub |eng | 2024-04-03 | Author:Steven Sanderson | David Kun
A basic embedding process The process of embedding matplotlib and plotnine visualizations into Excel typically involves exporting your plots or charts as image files (such as PNG or JPEG) and ...
( Category:
Data Modeling & Design
May 16,2024 )
epub |eng | 2023-04-15 | Author:Adnan Masood & Heather Dawe
( Category:
Data Modeling & Design
April 30,2024 )
pdf | | 2011-08-18 | Author:Mohammadhossein Heidari Sureshjani & Shahab Gerami
( Category:
Data Modeling & Design
April 19,2024 )
epub |eng | 2024-03-12 | Author:John C. Shovic & Alan Simpson [Shovic, John C. & Simpson, Alan]
Each link's code will look something like this, though each will have a unique URL, image source, and text: <a href="https://alansimpson.me/datascience/python/lists/"> <img src="images/lists256.jpg" alt="Python lists"> <span>Lists</span> </a> The three items ...
( Category:
Data Modeling & Design
April 6,2024 )
pdf | | 2024-02-15 | Author:Mayank Malhotra [Malhotra, Mayank]
( Category:
Data Modeling & Design
February 18,2024 )
epub |eng | 2023-01-15 | Author:Mohamed Abouahmed & Omar Ahmed
A common model we can use for unsupervised learning is an autoencoder. As mentioned in Chapter 4, an autoencoder is a neural network composed of an encoder and a decoder. ...
( Category:
Data Modeling & Design
January 7,2024 )
epub |eng | 2022-01-15 | Author:Eryk Lewinson
Plot the efficient frontier: MARKERS = ["o", "X", "d", "*"] fig, ax = plt.subplots() portf_results_df.plot(kind="scatter", x="volatility", y="returns", c="sharpe_ratio", cmap="RdYlGn", edgecolors="black", ax=ax) ax.set(xlabel="Volatility", ylabel="Expected Returns", title="Efficient Frontier") ax.plot(ef_vol_list, ef_rtn_list, "b--") for ...
( Category:
Data Modeling & Design
January 3,2024 )
Categories
Popular ebooks
The Mikado Method by Ola Ellnestam Daniel Brolund(9464)Algorithms of the Intelligent Web by Haralambos Marmanis;Dmitry Babenko(8001)
Learning SQL by Alan Beaulieu(5677)
Weapons of Math Destruction by Cathy O'Neil(5309)
Building Statistical Models in Python by Huy Hoang Nguyen & Paul N Adams & Stuart J Miller(4299)
Azure Data and AI Architect Handbook by Olivier Mertens & Breght Van Baelen(4287)
Serverless Machine Learning with Amazon Redshift ML by Debu Panda & Phil Bates & Bhanu Pittampally & Sumeet Joshi(4179)
Big Data Analysis with Python by Ivan Marin(4001)
Data Wrangling on AWS by Navnit Shukla | Sankar M | Sam Palani(3943)
Driving Data Quality with Data Contracts by Andrew Jones(3864)
Machine Learning Model Serving Patterns and Best Practices by Md Johirul Islam(3647)
Data Engineering with dbt by Roberto Zagni(3050)
Blockchain Basics by Daniel Drescher(3019)
Hands-On Machine Learning for Algorithmic Trading by Stefan Jansen(2728)
Solidity Programming Essentials by Ritesh Modi(2680)
Learn T-SQL Querying by Pam Lahoud & Pedro Lopes(2655)
Feature Store for Machine Learning by Jayanth Kumar M J(2653)
Time Series Analysis with Python Cookbook by Tarek A. Atwan(2643)
Pandas Cookbook by Theodore Petrou(2612)
Mastering Python for Finance by Unknown(2597)
