Child development theories

/in /by

A young woman has been arrested and is serving jail time for drug possession, assault, and armed robbery. Throughout her childhood and adolescence she has been in and out of trouble at school and with the juvenile justice system.
Considering the (limited) background information given above, choose three out of the five theories listed below and describe how each theory might explain how this young woman became the person that she is. (Refer to Chapter 2 of your textbook)
(15 points)

  1. Psychosocial Theory – Erikson
  2. Behaviorism/Learning Theory
  3. Cognitive Theory
  4. Sociocultural Theory
  5. Evolutionary Theory
    As you explain each of the 3 chosen theories and how they have impacted the woman’s life and present circumstance, be sure to differentiate each, using each theory’s underlying principles to illustrate its influence

Sample Solution

The post Child development theories appeared first on homework handlers.

Lord of the Flies

/in /by

Allegory: What is the “big picture” message of LOTF?

Sample Solution

The post Lord of the Flies appeared first on homework handlers.

The importance of the basic statistical tools in a real-life situation

/in /by

Suppose that you work for a large retail store and your supervisor asks you to write a brief report on the company’s sales in the last 4 years. You are asked to provide some important statistics and describe the confidence of your estimates.

Sample Solution

The post The importance of the basic statistical tools in a real-life situation appeared first on homework handlers.

Python as language

/in /by

  1. Write in details about following with examples:
    • Descriptive analytics
    • Predictive analytics
    • Prescriptive analytics
  2. Write theory and mathematics of following algorithms:
    • Multivariate Feature Selection
    • Random forests
    • Neural Network
    • Support vector machines
    • Mathematical modelling, simulation and optimization

Note: Cite referenced materials.

Use Dataset at : https://www.kaggle.com/jpacse/telecom-churn-new-cell2cell-dataset
Note: use Python as language
Descriptive analytics

  1. Perform univariate data exploration and comment on results.
  2. Perform bi-variate data exploration and comment on results.
  3. Which attributes predict churn behavior? Discuss on finding.
    Predictive analytics
  4. Perform multivariate feature selection and comment on results
  5. Build predictive models using Random Forests, Neural Network and Support Vector Machines. Discuss on performance of the models and compare the models.

Sample Solution

The post Python as language appeared first on homework handlers.