From Data Science Bookcamp by Leonard Apeltsin
This 3-part article series covers:
Clustering data by centrality
Clustering data by density
Trade-offs between clustering algorithms
Executing clustering using the scikit-learn library
Iterating over clusters using Pandas
From Data Science Bookcamp by Leonard Apeltsin
This 3-part article series covers:
Clustering data by centrality
Clustering data by density
Trade-offs between clustering algorithms
Executing clustering using the scikit-learn library
Iterating over clusters using Pandas
From Data Science Bookcamp by Leonard Apeltsin
This 3-part article series covers:
Clustering data by centrality
Clustering data by density
Trade-offs between clustering algorithms
Executing clustering using the scikit-learn library
Iterating over clusters using Pandas
From Feature Engineering Bookcamp by Sinan Ozdemir
This article series covers
● Recognizing and mitigating bias in our data and model
● Quantifying fairness through various metrics
● Applying feature engineering techniques to remove bias from our model without sacrificing model performance
From Feature Engineering Bookcamp by Sinan Ozdemir
This article series covers
● Recognizing and mitigating bias in our data and model
● Quantifying fairness through various metrics
● Applying feature engineering techniques to remove bias from our model without sacrificing model performance
From Feature Engineering Bookcamp by Sinan Ozdemir
This article series covers
● Recognizing and mitigating bias in our data and model
● Quantifying fairness through various metrics
● Applying feature engineering techniques to remove bias from our model without sacrificing model performance
In case you missed it, here is Jike Chong and Yue Cathy Chang’s live Twitch coding stream recap. For more, check out the book: How to Lead in Data Science. For more live coding streams, subscribe to Manning’s Twitch channel… Continue Reading →