Writing Our First Classifier – Machine Learning Recipes #5
#Writing #Classifier #Machine #Learning #Recipes
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كيف Writing Our First Classifier – Machine Learning Recipes #5
Uncover the intricacies of creating our first classifier from the ground up, making this tutorial an essential milestone for newcomers to the field. In 8 comprehensive steps, we’ll guide you through the process of writing the classifier, starting with the code introduced in episode #4 and comment out the classifier we imported. Then, we’ll code up a simple replacement – using a scrappy version of k-Nearest Neighbors. Explore the pros and cons of this approach as you dive deeper into understanding the mechanics of writing a classifier. Don’t miss this opportunity to expand your knowledge and master the art of crafting classifiers from scratch!
Chapters:
0:00 – Intro
0:00 – Outline
0:56 – Step 1: Comment out imports
1:22 – Step 2: Implement a class
1:38 – Step 3: Understand the interface
2:08 – Step 4: Get pipeline working
3:14 – Step 5: Intro to k-NN
4:38 – Step 6: Measure distance
6:13 – Step 7: Implement nearest neighbor algorithm
7:22 – Step 8: Run pipeline
7:47 – Pros and Cons for this algorithm
8:24 – Wrap up
You can follow https://twitter.com/random_forests for updates on new episodes, and have fun!
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#ML #machinelearning
#Writing #Classifier #Machine #Learning #Recipes