1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/1. Machine Learning ( Algorithms) Types - Part 1.mp497.04MB
1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/10. Naive Bayes Graphical Proof.mp4216.79MB
1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/11. Expert System With Naive Bayes.mp4215.89MB
1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/2. Machine Learning ( Algorithms) Types - Part 2.mp4191.47MB
1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/3. 5 Types of Different Problems Which Can be Solved With Machine Learning.mp4143.74MB
1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/4. Machine Learning Algorithms and Why It Matters.mp441.8MB
1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/5. Rating Machine Learning Algorithms.mp4146.15MB
1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/6. Algorithms We are Going to Cover and What They Can Do.mp4147.19MB
1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/7. Starting With Naive Bayes.mp4109.93MB
1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/8. How Naive Bayes Works and Proof.mp4127.93MB
1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/9. How We Can Say Naive Bayes is Better.mp4184.73MB
2. Sprint 4.2 - Machine Learning Model Maths and Implementation on GCP/1. General Machine Learning Algorithm Steps - Part 1.mp4126.23MB
2. Sprint 4.2 - Machine Learning Model Maths and Implementation on GCP/10. Maths Side of ML With Example - Final Formula to Reach to Minimum Error.mp479.91MB
2. Sprint 4.2 - Machine Learning Model Maths and Implementation on GCP/11. Maths Side of ML With Example-Graph to Show What is Happening in Iteration Part1.mp4115.31MB
2. Sprint 4.2 - Machine Learning Model Maths and Implementation on GCP/12. Maths Side of ML With Example-Graph to Show What is Happening in Iteration Part2.mp4129.58MB
2. Sprint 4.2 - Machine Learning Model Maths and Implementation on GCP/13. Over View of the Hands-on Part of ML.mp4159.51MB
2. Sprint 4.2 - Machine Learning Model Maths and Implementation on GCP/14. Hand-Book and Spinning Up Spark Cluster.mp4111.54MB
2. Sprint 4.2 - Machine Learning Model Maths and Implementation on GCP/15. Uploading the Product Rater File For Upload.mp467.35MB
2. Sprint 4.2 - Machine Learning Model Maths and Implementation on GCP/16. Upload the Product Rater Files to VM and Hadoop.mp483.65MB
2. Sprint 4.2 - Machine Learning Model Maths and Implementation on GCP/17. Upload, Transform and Divide Data into Test and Training.mp499.83MB
2. Sprint 4.2 - Machine Learning Model Maths and Implementation on GCP/18. Starting the Machine Learning Process With ALS Algo.mp452.07MB
2. Sprint 4.2 - Machine Learning Model Maths and Implementation on GCP/19. Evaluate the Root Mean Square Error With Test Data.mp4153.2MB
2. Sprint 4.2 - Machine Learning Model Maths and Implementation on GCP/2. General Machine Learning Algorithm Steps - Part 2.mp491.49MB
2. Sprint 4.2 - Machine Learning Model Maths and Implementation on GCP/20. Summary of the Machine Learning Section.mp435.36MB
2. Sprint 4.2 - Machine Learning Model Maths and Implementation on GCP/3. Common Queries Your Have Regarding ML - Part 1.mp4148.04MB
2. Sprint 4.2 - Machine Learning Model Maths and Implementation on GCP/4. Common Queries Your Have Regarding ML - Part 2.mp4111.04MB
2. Sprint 4.2 - Machine Learning Model Maths and Implementation on GCP/5. Understanding Maths Side of ML With Example - P, Q and K matrix.mp4150.71MB
2. Sprint 4.2 - Machine Learning Model Maths and Implementation on GCP/6. Maths Side of ML With Example - R and R^ Matrix.mp467.83MB
2. Sprint 4.2 - Machine Learning Model Maths and Implementation on GCP/7. Maths Side of ML With Example - Error for R^.mp4110.9MB
2. Sprint 4.2 - Machine Learning Model Maths and Implementation on GCP/8. Maths Side of ML With Example - Error Minimization.mp4103.27MB
2. Sprint 4.2 - Machine Learning Model Maths and Implementation on GCP/9. Maths Side of ML With Example - Error Minimization.mp459.81MB