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All Machine Learning algorithms explained in 17 min
15, Nov, 2024
Time Stamps...
Intro: What is Machine Learning? (
00:00
)
Supervised Learning (
00:59
)
Unsupervised Learning (
01:37
)
Linear Regression (
02:20
)
Logistic Regression (
04:04
)
K Nearest Neighbors (KNN) (
04:53
)
Support Vector Machine (SVM) (
06:10
)
Naive Bayes Classifier (
07:51
)
Decision Trees (
08:37
)
Ensemble Algorithms (
09:11
)
Bagging & Random Forests (
09:24
)
Boosting & Strong Learners (
09:53
)
Neural Networks / Deep Learning (
10:26
)
Unsupervised Learning (again) (
12:42
)
Clustering / K-means (
12:57
)
Dimensionality Reduction (
14:35
)
Principal Component Analysis (PCA) (
15:15
)
0.005598191 seconds
