Sentiment Analysis: Sentiment Classification

Problem Solving Using Pyspark - Regression & Classification  eBooks & eLearning

Posted by ELK1nG at Dec. 18, 2023
Problem Solving Using Pyspark - Regression & Classification

Problem Solving Using Pyspark - Regression & Classification
Published 12/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.07 GB | Duration: 1h 49m

Gradient Boosted Trees, XGBoost, Spark NLP, Prophet, Data Cleaning, Descriptive Statistics, Spark SQL

Learning Path: R: Data Analysis And Machine Learning With R  eBooks & eLearning

Posted by ELK1nG at Jan. 2, 2023
Learning Path: R: Data Analysis And Machine Learning With R

Learning Path: R: Data Analysis And Machine Learning With R
Last updated 9/2017
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.15 GB | Duration: 8h 15m

Conquer the wider world of data science with R

neural networks for sentiment and stock price prediction  eBooks & eLearning

Posted by lucky_aut at Feb. 25, 2023
neural networks for sentiment and stock price prediction

neural networks for sentiment and stock price prediction
Last updated 2023-01-10
Duration: 02:45:29 | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.05 GB
Genre: eLearning | Language: English [Auto]

How to predict stock prices with neural networks and sentiment with neural networks. Machine learning hands on data scie

Sentiment Analysis for Social Media  eBooks & eLearning

Posted by insetes at Nov. 21, 2022
Sentiment Analysis for Social Media

Sentiment Analysis for Social Media By Carlos A. Iglesias (editor), Antonio Moreno (editor)
2020 | 152 Pages | ISBN: 3039285726 | PDF | 7 MB

R Data Analysis With Projects – Hands On: 3-In-1  eBooks & eLearning

Posted by ELK1nG at Jan. 3, 2023
R Data Analysis With Projects – Hands On: 3-In-1

R Data Analysis With Projects – Hands On: 3-In-1
Last updated 7/2018
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.76 GB | Duration: 13h 58m

Master R's basic and advanced techniques to solve real-world problems in data analysis and gain valuable insights from y
Mastering Classification Algorithms for Machine Learning: Learn how to apply Classification algorithms

Mastering Classification Algorithms for Machine Learning
by Majumdar, Partha;

English | 2023 | ISBN: 935551851X | 380 pages | Retail PDF | 18.84 MB

Exploring Natural Language Processing Projects with Transformers and Python  eBooks & eLearning

Posted by Free butterfly at Aug. 4, 2024
Exploring Natural Language Processing Projects with Transformers and Python

Exploring Natural Language Processing Projects with Transformers and Python: Harness the Power of Transformers to Develop Practical NLP Applications with Python's Top Libraries by Andrew M. Jones
English | June 14, 2024 | ISBN: N/A | ASIN: B0D76ZXCK3 | 147 pages | EPUB | 0.45 Mb

Exploring Natural Language Processing Projects with Transformers and Python  eBooks & eLearning

Posted by Free butterfly at Aug. 4, 2024
Exploring Natural Language Processing Projects with Transformers and Python

Exploring Natural Language Processing Projects with Transformers and Python: Harness the Power of Transformers to Develop Practical NLP Applications with Python's Top Libraries by Andrew M. Jones
English | June 14, 2024 | ISBN: N/A | ASIN: B0D76ZXCK3 | 147 pages | EPUB | 0.45 Mb

Data Science Projects 2 - Data Analysis & Machine Learning  eBooks & eLearning

Posted by ELK1nG at Dec. 14, 2022
Data Science Projects 2 - Data Analysis & Machine Learning

Data Science Projects 2 - Data Analysis & Machine Learning
Published 12/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 375.64 MB | Duration: 1h 27m

Learn how to build Data Science Projects with Python. Regression, Classification, Time-Series , NLP. Not for beginners.

Classification Methods for Internet Applications  eBooks & eLearning

Posted by arundhati at Feb. 2, 2020
Classification Methods for Internet Applications

Martin Holeňa, "Classification Methods for Internet Applications "
English | ISBN: 3030369617 | 2020 | 281 pages | PDF | 6 MB