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Torrent File Content (74 files)


[ FreeCourseWeb.com ] Oreilly - Managing Machine Learning Projects, Video Edition
     Get Bonus Downloads Here.url -
183 bytes

    ~Get Your Files Here !
          001. Chapter 1. Introduction Delivering machine learning projects is hard; let’s do it better.mp4 -
18.9 MB

          002. Chapter 1. Why is ML important.mp4 -
13.58 MB

          003. Chapter 1. Other machine learning methodologies.mp4 -
13.65 MB

          004. Chapter 1. Understanding this book.mp4 -
6.34 MB

          005. Chapter 1. Case study The Bike Shop.mp4 -
2.69 MB

          006. Chapter 1. Summary.mp4 -
1.86 MB

          007. Chapter 2. Pre-project From opportunity to requirements.mp4 -
17.9 MB

          008. Chapter 2. Project management infrastructure.mp4 -
6.19 MB

          009. Chapter 2. Project requirements.mp4 -
27.56 MB

          010. Chapter 2. Data.mp4 -
17.31 MB

          011. Chapter 2. Security and privacy.mp4 -
4.9 MB

          012. Chapter 2. Corporate responsibility, regulation, and ethical considerations.mp4 -
20.24 MB

          013. Chapter 2. Development architecture and process.mp4 -
14.32 MB

          014. Chapter 2. Summary.mp4 -
2.15 MB

          015. Chapter 3. Pre-project From requirements to proposal.mp4 -
17.56 MB

          016. Chapter 3. Create an estimate.mp4 -
49.36 MB

          017. Chapter 3. Pre-salespre-project administration.mp4 -
3.41 MB

          018. Chapter 3. Pre-projectpre-sales checklist.mp4 -
6.2 MB

          019. Chapter 3. The Bike Shop pre-sales.mp4 -
28.79 MB

          020. Chapter 3. Pre-project postscript.mp4 -
5.04 MB

          021. Chapter 3. Summary.mp4 -
1.5 MB

          022. Chapter 4. Getting started.mp4 -
4.68 MB

          023. Chapter 4. Finalize team design and resourcing.mp4 -
3.62 MB

          025. Chapter 4. Infrastructure plan.mp4 -
8.99 MB

          026. Chapter 4. The data story.mp4 -
25.89 MB

          027. Chapter 4. Privacy, security, and an ethics plan.mp4 -
3.77 MB

          028. Chapter 4. Project roadmap.mp4 -
6.21 MB

          029. Chapter 4. Sprint 0 checklist.mp4 -
2.46 MB

          030. Chapter 4. Bike Shop project setup.mp4 -
30.41 MB

          031. Chapter 4. Summary.mp4 -
2.07 MB

          032. Chapter 5. Diving into the problem.mp4 -
4.25 MB

          033. Chapter 5. Understanding the data.mp4 -
39.59 MB

          034. Chapter 5. Business problem refinement, UX, and application design.mp4 -
24.69 MB

          035. Chapter 5. Building data pipelines.mp4 -
44.78 MB

          036. Chapter 5. Model repository and model versioning.mp4 -
17.94 MB

          037. Chapter 5. Summary.mp4 -
2.49 MB

          038. Chapter 6. EDA, ethics, and baseline evaluations.mp4 -
58.52 MB

          039. Chapter 6. Ethics checkpoint.mp4 -
7.88 MB

          040. Chapter 6. Baseline models and performance.mp4 -
3.48 MB

          041. Chapter 6. What if there are problems.mp4 -
7.67 MB

          042. Chapter 6. Pre-modeling checklist.mp4 -
843.79 KB

          043. Chapter 6. The Bike Shop Pre-modelling.mp4 -
47.27 MB

          045. Chapter 7. Making useful models with ML.mp4 -
9.97 MB

          046. Chapter 7. Feature engineering and data augmentation.mp4 -
30.46 MB

          048. Chapter 7. Making models with ML.mp4 -
27.35 MB

          049. Chapter 7. Stinky, dirty, no good, smelly models.mp4 -
6.7 MB

          050. Chapter 7. Summary.mp4 -
2.46 MB

          051. Chapter 8. Testing and selection.mp4 -
9.17 MB

          052. Chapter 8. Testing processes.mp4 -
69.88 MB



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