Machine Learning/ Data Science Course: Concepts Easily Explained
36 videos • 7,389 views • by Computing For All
This list covers the data science/machine learning-related video lectures.
1
Introduction to Data Science/Machine Learning: Welcome to the course
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2
1.1 DS: Introduction to Data Science
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3
1.2 DS: Features, Objects, Dimensions, and Space
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4
1.3 DS: Space and High Dimensional Data
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5
1.4 DS: What is a Vector
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6
2.1 DS: Proximity -- Distance and Similarity
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7
2.2 DS: Euclidean and Manhattan Distances
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8
2.3 DS: Edit and Hamming Distances
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9
2.4 DS: Jaccard Coefficient or Index or Similarity
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10
Weighted Jaccard Similarity: #Python Code #datascience #similarity #Jaccard #shorts
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11
2.5 DS: Cosine similarity between two rows in a data table. Explains dot product and norm.
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12
Cosine Similarity: Python Code #datascience #pythonprogramming #shorts
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13
2.6 DS: Tanimoto similarity
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14
2.7 DS: k-Nearest neighbors | with Python implementation
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15
2.7.1 DS: Mastering k-Nearest Neighbor Coding in Python!
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16
2.7.2 DS: Tailoring Scikit-Learn's k-NN with Your Own Distance Functions!
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17
3.1 DS: Clustering -- An Introduction
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18
3.2 DS: k-means Clustering Algorithm in Detail and k-means in Python using scikit-learn
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19
3.6 DS: Clustering Evaluation - Intro
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20
3.6.1 DS: True/False Positives & Negatives - Crystal Clear Explanation!
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21
3.6.2 DS: Rand Index for Clustering Validation Pt. 1
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22
3.6.3 DS: Rand Index for Clustering Validation Pt. 2
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23
3.6.4 DS: Rand Index, Python Implementation: Rand Index for Clustering Validation Pt. 3
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24
3.6.5 DS: Rand Index Examples for Exam Preparation
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25
3.6.6 DS: Purity Clustering Evaluation
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26
4.1 DS: Logistic regression-based classification (includes linear regression)
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27
5.1 DS: Google's Ranking Revolution: The Fascinating History
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28
PageRank: Pt. 1: Creating the Transition Matrix for the Internet: How Google Search Works
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29
PageRank: Pt. 2: Iterating Over the PageRank Vector to Rank Web Pages: How Google Search Works
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30
PageRank: Pt. 3: Pseudocode, Spider Trap, and How Google Search Engine Works
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31
PageRank: Pt. 4: Random Surfer Model and Spider Trap: How Google Search Works with Spider Traps
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32
PageRank: Pt. 5: Teleportation Details with Pseudocode: How Google Solves the Spider Trap Issue
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33
PageRank: Pt. 6: Implementing PageRank Algorithm in Python | Handling Spider Traps and Teleportation
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34
PageRank: Exam/Interview Question/Answer
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35
PageRank: Question/Answer for Exam, Quiz, or Interview
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36
Normalize Data 📊 with Python - Easy MinMaxScaler Tutorial
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