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Course Content
1. Course Setup
0/3
Course Introduction and How to Download Code Files
05:24
Google Colab Introduction
08:37
Jupyter Notebook Introduction
10:07
2. Python for Deep Learning
0/10
Python Introduction Part 1
08:20
Python Introduction Part 2
08:41
Python Introduction Part 3
08:40
Numpy Introduction Part 1
09:03
Numpy Introduction Part 2
07:45
Pandas Introduction
07:58
Matplotlib Introduction Part 1
09:12
Matplotlib Introduction Part 2
11:36
Seaborn Introduction Part 1
06:17
Seaborn Introduction Part 2
08:02
3. Introduction to Machine Learning
0/13
Classical Machine Learning Introduction
08:29
Logistic Regression
08:19
Support Vector Machine – SVM
07:01
Decision Tree
05:25
Random Forest
03:33
L2 Regularization
08:07
L1 Regularization
04:38
Model Evaluation
08:05
ROC-AUC Curve
03:26
Code Along in Python Part 1
06:36
Code Along in Python Part 2
07:02
Code Along in Python Part 3
06:32
Code Along in Python Part 4
11:07
2024 Deep Learning for Beginners with Python
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