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Applied Roots AI And ML
5. Insertion sort @hmaracollege.zip
413.8 MB
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6. Analysing algorithms - Time and Space complexity @hma.zip
565.9 MB
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7. Problems - Big O Theta Omega notation.zip
1.2 GB
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8. Recursion and Dynamic Programming.zip
2 GB
9. Introduction to Modules - Libraries for DataScience.zip
472.4 MB
10. Miscellaneous topics in Python.zip
269.9 MB
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11. Object Oriented Programming for ML - AI.zip
419 MB
12. Code Walkthroughs and Problem Solving.zip
1.2 GB
13. Regex-- Code Walkthrough and Problem solving.zip
332.8 MB
14. Multiprocessing and Multithreading.zip
159 MB
15. Using web-APIs for ML.zip
229.4 MB
16. SQL.zip
2.7 GB
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APPLIED ROOTS MODULE 3 -10
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Module 3_ Foundations of Natural Language Processing and Machine Learning
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1_Real_world_problem_Predict_rating_given_product_reviews_on_Amazon.zip
628.2 MB
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2. Classification And Regression Models_ K-Nearest Neighbors.zip
1.4 GB
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3. Interview Questions on K-NN(K Nearest Neighbour).zip
11.3 KB
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4. Classification algorithms in various situations.zip
451.6 MB
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5. Performance measurement of models.zip
161.4 MB
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6. Interview Questions on Performance Measurement Models.zip
17.4 KB
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7. Naive Bayes @hmaracollege.zip
761.7 MB