ChatGPT Masterclass - The Guide to AI and Prompt Engineering by Code Learn Academy

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ChatGPT Masterclass - The Guide to AI and Prompt Engineering by Code Learn Academy (Size: 2.6 GB)
  1. Introduction.mp4 203.2 MB
  1. chapter-1--building-basic-charts-a.mp4 26.7 MB
  1. chapter-1-approaching-ai-ethics-a.mp4 19.1 MB
  1. chapter-1-design-and-exploration-a.mp4 12.8 MB
  1. chapter-1-foundations-of-dimensionality-reduction-a.mp4 19 MB
  1. chapter-1-fundamentals-of-ai-strategy-a.mp4 20.2 MB
  1. chapter-1-introduction-to-a.mp4 21.8 MB
  1. chapter-1-introduction-to-deep-learning-for-text-with-pytorch-a.mp4 18.9 MB
  1. chapter-1-starting-data-preparation-in-excel-a.mp4 24.7 MB
  1. chapter-1-the-journey-to-data-fluency-a.mp4 22.7 MB
  1.1 ch1_1_Language.EN.vtt 6.6 KB
  1.1 ex1.md 921.6 B
  1.2 ch1_1_script.md 3.5 KB
  1.2 ex2.md 1.2 KB
  10. chapter-3--components-of-ai-strategy-c.mp4 17.1 MB
  10. chapter-3--data-fluent-organization-c.mp4 27.9 MB
  10. chapter-3-associations-of-variables-c.mp4 20.8 MB
  10. chapter-3-feature-selection-for-model-performance-c.mp4 22.8 MB
  10. chapter-3-model-deployment-c.mp4 14.8 MB
  10. chapter-3-text-generation-with-pytorch-c.mp4 21.2 MB
  10. chapter-3-the-way-forward-ai-ethics-c.mp4 18.8 MB
  10.1 ch3_3_Language.EN.vtt 6.9 KB
  10.2 ch3_3_script.md 3.4 KB
  11. chapter-3--components-of-ai-strategy-d.mp4 21.9 MB
  11. chapter-3--data-fluent-organization-d.mp4 32.4 MB
  11. chapter-3-associations-of-variables-d.mp4 20.8 MB
  11. chapter-3-feature-selection-for-model-performance-d.mp4 16.7 MB
  11. chapter-3-model-deployment-d.mp4 14.8 MB
  11. chapter-3-text-generation-with-pytorch-d.mp4 21.9 MB
  11. chapter-3-the-way-forward-ai-ethics-d.mp4 21.6 MB
  11.1 ch3_4_Language.EN.vtt 5.8 KB
  11.2 ch3_4_script.md 3.4 KB
  12. chapter-3--data-fluent-organization-e.mp4 9.3 MB
  12. chapter-4-advanced-topics-in-deep-learning-for-text-with-pytorch-a.mp4 21 MB
  12. chapter-4-feature-extraction-and-model-performance-a.mp4 23.2 MB
  12. chapter-4-model-monitoring-a.mp4 15.4 MB
  12. chapter-4-regression-and-prediction-a.mp4 20.1 MB
  12. chapter-4-time-for-action-a.mp4 19.2 MB
  12.1 ch3_5_Language.EN.vtt 2.4 KB
  12.1 ch4_1_Language.EN.vtt 6.2 KB
  12.2 ch4_1_script.md 3.4 KB
  13. chapter-4-advanced-topics-in-deep-learning-for-text-with-pytorch-b.mp4 21.9 MB
  13. chapter-4-feature-extraction-and-model-performance-b.mp4 21.8 MB
  13. chapter-4-model-monitoring-b.mp4 14.2 MB
  13. chapter-4-regression-and-prediction-b.mp4 17.1 MB
  13. chapter-4-time-for-action-b.mp4 23.8 MB
  13.1 ch4_2_Language.EN.vtt 5.8 KB
  13.2 ch4_2_script.md 3.4 KB
  14. chapter-4-advanced-topics-in-deep-learning-for-text-with-pytorch-c.mp4 24.7 MB
  14. chapter-4-feature-extraction-and-model-performance-c.mp4 17.8 MB
  14. chapter-4-model-monitoring-c.mp4 15.1 MB
  14. chapter-4-regression-and-prediction-c.mp4 19.3 MB
  14. chapter-4-time-for-action-c.mp4 22.6 MB
  14.1 ch4_3_Language.EN.vtt 5.5 KB
  14.2 ch4_3_script.md 3.5 KB
  15. chapter-4-advanced-topics-in-deep-learning-for-text-with-pytorch-d.mp4 22.5 MB
  15. chapter-4-feature-extraction-and-model-performance-d.mp4 15.8 MB
  15. chapter-4-model-monitoring-d.mp4 12.4 MB
  15. chapter-4-regression-and-prediction-d.mp4 20 MB
  15. chapter-4-time-for-action-d.mp4 20.5 MB
  15.1 ch4_4_Language.EN.vtt 5.5 KB
  15.2 ch4_4_script.md 3.4 KB
  16. chapter-4-advanced-topics-in-deep-learning-for-text-with-pytorch-e.mp4 6.6 MB
  16. chapter-4-feature-extraction-and-model-performance-e.mp4 9.7 MB
  16. chapter-4-model-monitoring-e.mp4 4.1 MB
  16. chapter-4-regression-and-prediction-e.mp4 6.1 MB
  16. chapter-4-time-for-action-e.mp4 8.5 MB
  16.1 ch4_5_Language.EN.vtt 2.5 KB
  16.2 ch4_5_script.md 1.4 KB
  16.2 heart_disease_cleaned_2.csv 20.3 KB
  16.3 heart_disease_df_1.csv 41.5 KB
  2. chapter-1--building-basic-charts-b.mp4 28.9 MB
  2. chapter-1-approaching-ai-ethics-b.mp4 20.1 MB
  2. chapter-1-design-and-exploration-b.mp4 16.3 MB
  2. chapter-1-foundations-of-dimensionality-reduction-b.mp4 24 MB
  2. chapter-1-fundamentals-of-ai-strategy-b.mp4 21.1 MB
  2. chapter-1-introduction-to-b.mp4 17.7 MB
  2. chapter-1-introduction-to-deep-learning-for-text-with-pytorch-b.mp4 22.2 MB
  2. chapter-1-starting-data-preparation-in-excel-b.mp4 44.6 MB
  2. chapter-1-the-journey-to-data-fluency-b.mp4 27.8 MB
  2.1 ch1_2_Language.EN.vtt 6.8 KB
  2.1 ex3.md 921.6 B
  2.2 ch1_2_script.md 3.7 KB
  2.2 ex4.md 819.2 B
  3. chapter-1-approaching-ai-ethics-c.mp4 20.6 MB
  3. chapter-1-design-and-exploration-c.mp4 14.1 MB
  3. chapter-1-foundations-of-dimensionality-reduction-c.mp4 18.3 MB
  3. chapter-1-fundamentals-of-ai-strategy-c.mp4 17.9 MB
  3. chapter-1-introduction-to-c.mp4 19.8 MB
  3. chapter-1-introduction-to-deep-learning-for-text-with-pytorch-c.mp4 22.8 MB
  3. chapter-1-the-journey-to-data-fluency-c.mp4 26.2 MB
  3. chapter-2-advancing-to-more-complex-charts-a.mp4 19.9 MB
  3. chapter-2-functions-for-data-preparation-a.mp4 20.6 MB
  3.1 ch1_3_Language.EN.vtt 6.4 KB
  3.1 ch2_1_Language.EN.vtt 6.4 KB
  3.1 ex5.md 1.9 KB
  3.2 ch1_3_script.md 3.8 KB
  3.2 ex6.md 1.1 KB
  4. chapter-2-advancing-to-more-complex-charts-b.mp4 32.8 MB
  4. chapter-2-below-the-surface-ai-ethics-a.mp4 18.3 MB
  4. chapter-2-comparing-groups-a.mp4 17.6 MB
  4. chapter-2-data-fluent-individuals-a.mp4 22.9 MB
  4. chapter-2-designing-a-winning-ai-strategy-a.mp4 19.9 MB
  4. chapter-2-feature-selection-for-feature-importance-a.mp4 25.8 MB
  4. chapter-2-functions-for-data-preparation-b.mp4 58.2 MB
  4. chapter-2-model-training-and-evaluation-a.mp4 19.2 MB
  4. chapter-2-text-classification-with-pytorch-a.mp4 21.8 MB
  4.1 ch2_1_Language.EN.vtt 6.5 KB
  4.1 ch2_2_Language.EN.vtt 8.2 KB
  4.2 ch2_1_script.md 3.5 KB
  5. chapter-2-below-the-surface-ai-ethics-b.mp4 14.3 MB
  5. chapter-2-comparing-groups-b.mp4 18.1 MB
  5. chapter-2-data-fluent-individuals-b.mp4 28 MB
  5. chapter-2-designing-a-winning-ai-strategy-b.mp4 19.7 MB
  5. chapter-2-feature-selection-for-feature-importance-b.mp4 17.4 MB
  5. chapter-2-model-training-and-evaluation-b.mp4 17.8 MB
  5. chapter-2-text-classification-with-pytorch-b.mp4 29.2 MB
  5. chapter-3-conditional-formulas-a.mp4 20.9 MB
  5. chapter-3-data-visualization-best-practices-a.mp4 23.5 MB
  5.1 ch2_2_Language.EN.vtt 6.1 KB
  5.1 ch3_1_Language.EN.vtt 6.4 KB
  5.2 ch2_2_script.md 3.4 KB
  6. chapter-2-below-the-surface-ai-ethics-c.mp4 17.3 MB
  6. chapter-2-comparing-groups-c.mp4 17.5 MB
  6. chapter-2-data-fluent-individuals-c.mp4 29 MB
  6. chapter-2-designing-a-winning-ai-strategy-c.mp4 18.3 MB
  6. chapter-2-feature-selection-for-feature-importance-c.mp4 21.5 MB
  6. chapter-2-model-training-and-evaluation-c.mp4 13.4 MB
  6. chapter-2-text-classification-with-pytorch-c.mp4 19.4 MB
  6. chapter-3-conditional-formulas-b.mp4 40.6 MB
  6. chapter-3-data-visualization-best-practices-b.mp4 32.6 MB
  6.1 ch2_3_Language.EN.vtt 6.1 KB
  6.1 ch3_2_Language.EN.vtt 6.7 KB
  6.2 ch2_3_script.md 3.8 KB
  7. chapter-2-below-the-surface-ai-ethics-d.mp4 15.7 MB
  7. chapter-2-comparing-groups-d.mp4 18.5 MB
  7. chapter-2-data-fluent-individuals-d.mp4 25.5 MB
  7. chapter-2-designing-a-winning-ai-strategy-d.mp4 20.8 MB
  7. chapter-2-feature-selection-for-feature-importance-d.mp4 16.6 MB
  7. chapter-2-model-training-and-evaluation-d.mp4 19.4 MB
  7. chapter-2-text-classification-with-pytorch-d.mp4 20.3 MB
  7. chapter-4-lookups-and-data-transformation-a.mp4 21 MB
  7. chapter-4-visualizing-disaggregated-data-with-pivotcharts-a.mp4 30.2 MB
  7.1 ch2_4_Language.EN.vtt 6 KB
  7.1 ch4_1_Language.EN.vtt 6.3 KB
  7.2 ch2_4_script.md 3.1 KB
  8. chapter-3--components-of-ai-strategy-a.mp4 20.1 MB
  8. chapter-3--data-fluent-organization-a.mp4 29 MB
  8. chapter-3-associations-of-variables-a.mp4 18.7 MB
  8. chapter-3-feature-selection-for-model-performance-a.mp4 11.3 MB
  8. chapter-3-model-deployment-a.mp4 12.4 MB
  8. chapter-3-text-generation-with-pytorch-a.mp4 25.2 MB
  8. chapter-3-the-way-forward-ai-ethics-a.mp4 19.6 MB
  8. chapter-4-lookups-and-data-transformation-b.mp4 41.3 MB
  8. chapter-4-visualizing-disaggregated-data-with-pivotcharts-b.mp4 28.6 MB
  8.1 ch3_1_Language.EN.vtt 3.8 KB
  8.1 ch4_2_Language.EN.vtt 7.4 KB
  8.2 ch3_1_script.md 4 KB
  9. chapter-3--components-of-ai-strategy-b.mp4 22.9 MB
  9. chapter-3--data-fluent-organization-b.mp4 26.6 MB
  9. chapter-3-associations-of-variables-b.mp4 19.3 MB
  9. chapter-3-feature-selection-for-model-performance-b.mp4 17.3 MB
  9. chapter-3-model-deployment-b.mp4 16.3 MB
  9. chapter-3-text-generation-with-pytorch-b.mp4 22.4 MB
  9. chapter-3-the-way-forward-ai-ethics-b.mp4 12.2 MB
  9. chapter-4-lookups-and-data-transformation-c.mp4 10.5 MB
  9. chapter-4-visualizing-disaggregated-data-with-pivotcharts-c.mp4 2.6 MB
  9.1 ch3_2_Language.EN.vtt 6.6 KB
  9.1 ch4_3_Language.EN.vtt 2 KB
  9.2 ch3_2_script.md 2.6 KB
  Absenteeism_at_work.csv 43.5 KB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  cookie_cats_subset.csv 3.8 MB
  covid-dat.csv 165.1 KB
  generatedsite.csv 4.7 KB
  webdat.csv 13.1 KB
  ▲ 269 total files

Description


ChatGPT Masterclass: The Guide to AI & Prompt Engineering by Code Learn Academy

https://FreeCourseWeb.com

Published 12/2023
Created by Code Learn Academy
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 122 Lectures ( 9h 22m ) | Size: 2.63 GB

Mastering ChatGPT: A Comprehensive Course on AI and Advanced Prompt Engineering Strategies

What you'll learn:
AB Testing in R
Al Ethics
Artificial Intelligence (Al) Strategy
Data Fluency
Data Preparation in Excel
Data Visualization in Excel
Deep Learning for Text with PyTorch
Dimensionality Reduction in R
End-to-End Machine Learning

Requirements:
Basic understanding of statistics and hypothesis testing.
Familiarity with experimental design principles.
Knowledge of the domain or industry for effective testing.
Background in ethics or philosophy is beneficial.
Familiarity with ethical considerations in technology.
Understanding of the societal impact of AI.
Basic knowledge of AI concepts and applications.
Understanding of business strategy and objectives.
Familiarity with industry trends in AI adoption.
Basic understanding of data concepts and terminology.
Proficiency in using spreadsheet software like Excel.
Familiarity with basic statistical analysis.
Proficiency in using Excel for data entry and manipulation.
Basic knowledge of data cleaning and formatting.
Understanding of common data quality issues.
Proficiency in Excel for data visualization.
Understanding of principles of effective data visualization.
Knowledge of different chart types and when to use them.
Familiarity with Python programming language.
Basic understanding of machine learning concepts.
Prior experience with neural networks is beneficial.
Proficiency in the R programming language.
Understanding of data preprocessing and feature engineering.
Knowledge of the challenges of high-dimensional data.
Proficiency in a programming language like Python.
Understanding of machine learning algorithms and models.
Knowledge of the complete machine learning pipeline from data preparation to model deployment.

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