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My notebooks for the eBay / CSUMB Data Science for Search Course

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1.3 Introduction to Information Retrieval - Exercises + Answers.ipynb
1.3 Introduction to Information Retrieval - Exercises + Answers.ipynb
 
 
1.3 Introduction to Information Retrieval - Exercises.ipynb
1.3 Introduction to Information Retrieval - Exercises.ipynb
 
 
1.4 Introduction to Computation at Scale - Exercises + Answers.ipynb
1.4 Introduction to Computation at Scale - Exercises + Answers.ipynb
 
 
1.4 Introduction to Computation at Scale - Exercises.ipynb
1.4 Introduction to Computation at Scale - Exercises.ipynb
 
 
1.5 Introduction to Spark.ipynb
1.5 Introduction to Spark.ipynb
 
 
1.6 Introduction to Visualization in Python.ipynb
1.6 Introduction to Visualization in Python.ipynb
 
 
2.3 Advanced Recall.ipynb
2.3 Advanced Recall.ipynb
 
 
2.4 Metrics nDCG - Exercise + Answers.ipynb
2.4 Metrics nDCG - Exercise + Answers.ipynb
 
 
2.4 Metrics nDCG - Exercise.ipynb
2.4 Metrics nDCG - Exercise.ipynb
 
 
2.71 Machine Learning - Intuition Logistic Regression.ipynb
2.71 Machine Learning - Intuition Logistic Regression.ipynb
 
 
2.71 Machine Learning - Intuition.ipynb
2.71 Machine Learning - Intuition.ipynb
 
 
2.72 Machine Learning - Reducible Error - Exercises + Answers.ipynb
2.72 Machine Learning - Reducible Error - Exercises + Answers.ipynb
 
 
2.72 Machine Learning - Reducible Error - Exercises.ipynb
2.72 Machine Learning - Reducible Error - Exercises.ipynb
 
 
2.73 Machine Learning - Overfitting Classification.ipynb
2.73 Machine Learning - Overfitting Classification.ipynb
 
 
2.73 Machine Learning - Overfitting Regression.ipynb
2.73 Machine Learning - Overfitting Regression.ipynb
 
 
2.74 Machine Learning - scikit learn API.ipynb
2.74 Machine Learning - scikit learn API.ipynb
 
 
2.75 Machine Learning - Naive Bayes.ipynb
2.75 Machine Learning - Naive Bayes.ipynb
 
 
2.76 Machine Learning for Ranking with scikit-learn - Exercises.ipynb
2.76 Machine Learning for Ranking with scikit-learn - Exercises.ipynb
 
 
2.77 Machine Learning for Ranking - Deployment.ipynb
2.77 Machine Learning for Ranking - Deployment.ipynb
 
 
2.78 Machine Learning for Ranking - Spark MLLIB.ipynb
2.78 Machine Learning for Ranking - Spark MLLIB.ipynb
 
 
BM 25 Interactive.ipynb
BM 25 Interactive.ipynb
 
 
Notebook Crash Course.ipynb
Notebook Crash Course.ipynb
 
 
README.md
README.md
 
 
inverted-index.py
inverted-index.py
 
 
out.txt
out.txt
 
 
term-frequency.py
term-frequency.py
 
 
wordcounter.py
wordcounter.py
 
 

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data-science-for-search

This repo contains the notebooks for the eBay / CSU Monterey Bay Data Science for Search Course.

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My notebooks for the eBay / CSUMB Data Science for Search Course

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