Machine Learning With Python 2024
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8:02:31
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1 - Introduction to Course.mp4
06:19
2 - What is Machine Learning.mp4
04:46
3 - Life Cycle.mp4
04:37
4 - Introduction to Numpy Library.mp4
06:44
5 - Creating Arrays from Scratch.mp4
06:00
6 - Creating Arrays from Scratch Continued.mp4
05:10
7 - Array Indexing and Slicing.mp4
09:54
8 - Numpy Array Functions and Shape Modification.mp4
08:41
9 - Mathematical Operations on Numpy Arrays.mp4
06:33
10 - Introduction to Pandas Library.mp4
09:45
11 - Working with Pandas DataFrames.mp4
06:38
12 - Slicing and Indexing with Pandas.mp4
06:57
13 - Create DataFrame and Explore Dataset.mp4
07:58
14 - Data Analysis with Pandas DataFrame.mp4
12:18
15 - Other Useful Methods in Pandas Library.mp4
03:56
16 - Introduction to Matplotlib.mp4
06:24
17 - Customizing Line Plots.mp4
08:11
18 - Create Plot Using DataFrame.mp4
08:49
19 - Standard Scaler to Scale the Data.mp4
05:44
20 - Encoding Categorical Data.mp4
10:42
21 - Sklearn Pipeline and Column Transformer.mp4
11:34
22 - Evaluation Metrics in Sklearn.mp4
07:04
23 - Linear Regression.mp4
11:55
24 - Evaluation of Linear Regression Model.mp4
10:28
25 - Polynomial Regression.mp4
07:43
26 - Polynomial Regression Continued.mp4
13:10
27 - Sklearn Pipeline Polynomial Regression.mp4
10:48
28 - Decision Tree Classifier.mp4
12:54
29 - Decision Tree Evaluation.mp4
06:57
30 - Random Forest.mp4
05:51
31 - Support Vector Machines.mp4
08:39
32 - Kmeans Clustering.mp4
04:17
33 - KMeans Clustering Hands On.mp4
11:56
34 - Data Loading and Analysis.mp4
05:54
35 - Dimensionality Reduction with PCA.mp4
08:33
36 - Hyper Parameter Tuning.mp4
08:44
37 - Summary.mp4
01:32
38 - Introduction to Course.mp4
05:06
39 - Getting System Ready.mp4
09:36
40 - Read and Write Images.mp4
06:15
41 - Resize and Crop.mp4
06:56
42 - Working with Shapes.mp4
10:39
43 - Working with Text.mp4
02:33
44 - PreRequisite for Face Detection.mp4
09:39
45 - Detect the Face.mp4
05:48
46 - Introduction to Deep Learning with Tensorflow.mp4
09:55
47 - Model Building.mp4
09:38
48 - Training the Mask Detector.mp4
04:09
49 - Saving the Best Model.mp4
01:29
50 - Basic Front End Design of App.mp4
09:55
51 - File Upload Interface for App.mp4
06:10
52 - App Prep.mp4
09:17
53 - App Build and Testing.mp4
06:56
54 - AWS Deployment.mp4
08:52
55 - AWS Deployment Continued.mp4
02:45
56 - Introduction to Pima Indians Diabetes Using Machine Learning.mp4
02:07
57 - Installation of Anaconda.mp4
03:06
58 - Installation of Libraries.mp4
04:24
59 - Steps in Machine Learning.mp4
05:42
60 - Dataset and Logistic Regression.mp4
06:39
61 - Pima Classification.mp4
08:12
62 - Exclude the Header.mp4
10:46
63 - Conversion of String into Number.mp4
07:36
64 - Split the Dataset.mp4
10:35
65 - Check the ROC.mp4
03:41
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View courses UdemyStudents take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
- language english
- Training sessions 65
- duration 8:02:31
- Release Date 2024/03/10
