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Data Science for All @UCo-3_hRV1Zk2dyvcIReeyKg@youtube.com

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Instagram - @datascienceabc Github link for notes and datas


10:58:25
Practical Machine Learning in Python Full Course
10:39:49
Learn Python Programming - Full Course for Beginners - Part 3 [2019]
10:43:52
Learn Python Programming - Full Course for Beginners - Part 2 [2019]
09:53:52
Learn Python Programming - Full Course for Beginners [2019]
16:38
Deep Learning - Keras - Multi Layer Perceptron Part 3
13:33
Deep Learning - Keras - Multi Layer Perceptron Part 5 Regularization
11:43
Deep Learning - Keras - Multi Layer Perceptron Part 4
09:59
Deep Learning - Keras - Multi Layer Perceptron Part 1
18:20
Deep Learning - Keras - Introduction to Keras and MNIST
16:13
Deep Learning - Keras - Multi Layer Perceptron Part 2
10:43
Text Analysis SMS Analysis Part 4
13:44
Text Analysis Part 3
11:28
Text Analysis SMS Analysis Part 5
09:36
Text Analysis Part 1
09:29
Text Analysis Part 2
12:21
Text Analysis SMS Analysis Part 2
10:39
Text Analysis SMS Analysis Part 3
13:42
Text Analysis SMS Analysis Part 1
11:42
Bokeh- Line Plots
12:45
Bokeh- Linking Plots Linked Panning
12:58
Bokeh- Grid Plots
14:30
Bokeh- Introduction
10:23
Bokeh- Linking Plots Linked brushing
12:19
Bokeh- Scatter Plots
09:15
Matplotlib- Adding labels, title and annotation
12:18
Matplotlib - Line styles and text labels
09:54
Matplotlib- Changing default properties
11:43
Matplotlib- Subplots
11:50
Matplotlib- Setting ticks and limits
07:35
Matplotlib- Introduction to matplotlib
12:22
Matplotlib - Exercise Putting it all together
12:36
Decision Trees and Random Forests Part 3
17:44
Decision Trees and Random Forests Part 4
10:07
Decision Trees and Random Forest Part 2
10:16
Decision Trees and Random Forest Part 1
11:01
Logistic Reg Part 4 Model 2 VS Model 1
12:10
Logistic Reg Part 1 Exploring and Visualization
09:02
Logistic Reg Part 2 Cleaning our data
14:56
Logistic Reg Part 3 Model and Evaluation
13:05
Project Logistic Regression Part 2
12:06
Project Logistic Regression Part 1
15:17
K Means Clustering Part 4
13:19
K Means Clustering Part 2
14:06
K Means Clustering Part 1
15:36
K Means Clustering Part 3
19:07
Linear Reg Part 4 RMSE and Model Comparison
13:44
Linear Reg Part 2 Linear Reg Model
11:19
Project Linear Regression Part 1
11:51
Linear Reg Part 3 Evaluation
21:56
Project Linear Regression Part 2
21:20
Project Linear Regression Part 3
12:58
Linear Reg Part 1 Exploring and Visualizing
06:07
Logistic Regression Introduction
07:49
Linear Regression Introduction
10:39
ML Classification of Machine Learning
06:36
Installing Seaborn and dependencies !!
09:45
Seaborn Bar plot Part 1
12:31
Seaborn Violin plot Part 1
11:28
Seaborn Box plot Part 2
11:13
Seaborn KDE plot Part 2