Problem-Solving: Leaning on New Thinking Skills

Problem-Solving: Leaning on New Thinking Skills


English | ISBN: 0367749815 | 2021 | 162 pages | PDF | 2 MB

user AACND |  Comments: (0)

 Problem-Solving (Career Skills Library)
Problem-Solving (Career Skills Library)
128 pages | English | ISBN-10: 089434210X | ISBN-13: 9780894342103
user Coktum |  Comments: (0)

 Problem Solving (Career Skills Library)
Problem Solving (Career Skills Library)
128 pages | English | ISBN-10: 081605522X | ISBN-13: 978-0816055227
user Coktum |  Comments: (0)

 Problem-Solving Through Problems (Problem Books in Mathematics)
Problem-Solving Through Problems (Problem Books in Mathematics)
352 pages | English | ISBN-10: 038790803X | ISBN-13: 9780387908038
user Coktum |  Comments: (0)

 Problem-Solving Strategies (Problem Books in Mathematics)
Problem-Solving Strategies (Problem Books in Mathematics)
413 pages | English | ISBN-10: 0387982191 | ISBN-13: 9780387982199
user Coktum |  Comments: (0)

Problem Solving Methods and Strategies in High School Mathematical Competitions

 

Problem Solving Methods and Strategies in High School Mathematical Competitions (300 Pages)
by Bin Xiong, Yijie He, Yongming Liu, Ming Ni, Lingzhi Kong and Yuanlin Wan

English | 2024 | ISBN: 9811277427 | 301 pages | True PDF | 5.35 MB

user speedzodiac |  Comments: (0)

Problem-Solving For Facilities Management


https://www.udemy.com/course/problem-solving-for-fm/

practical approaches to solving FM's problems.
user Anxiety |  Comments: (0)

 


Problem Solving Course Creation

https://www.udemy.com/course/problem-solving-course-creation/

Problem Solving Course Creation
user Anxiety |  Comments: (0)

 


Problem Solving using PySpark - Regression & Classification

https://www.udemy.com/course/problem-solving-using-pyspark-regression-classification/

 


MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch


Genre: eLearning | Language: English | Duration: 35 Lectures ( 1h 48m ) | Size: 1.1 GB


This course is based on real world problems in PySpark, surrounding Data Cleaning, Descriptive statistics, Classification and Regression Modeling. The first segment introduces descriptive statistics in PySpark and computing fundamental measures such as mean, standard deviation and generating an extended statistical summary. The second segment is based on cleaning the data in PySpark, working with null values,  redundant data and imputing the null values. The third segment is about Predictive modeling with PySpark using Gradient Boosted Trees Regression The fourth and fifth segments  are based on applying classification techniques in PySpark. The fourth Segment introduces the application of Spark XGB Classifier for a classification problem and the fifth segment is about using a deep learning model for text sentiment classification. The sixth segment is about time series analytics and modeling using PySpark and Prophet The seventh segment introduces  Spark SQL for data querying and analysis. These segments also include advanced visualization techniques through Seaborn and Plotly libraries including  Box plots to understand the distribution of the data and assessment of outliers, Count plots to understand balance in the proportion of data, Bar chart to represent feature importance as part of the Gradient Boosted Trees Regression Model, Word Cloud for text analytics and analyzing time series data to extract seasonality and trend components. Each of these segments, has a Google Colab notebook included aligning with the lecture.

user LENYA |  Comments: (0)

Problem Solving With C++ Programming Language by put codes


Published 12/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.60 GB | Duration: 3h 52m

C++ problem solving ,C++ Practice Coding ,C plus plus programming language , software engineering , development.

 

user Gamystyle |  Comments: (0)


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