Machine Learning With Python 2024

سرفصل های دوره

1 - Machine Learning With Python 2023

1 - Introduction to Course

2 - What is Machine Learning

3 - Life Cycle

4 - Introduction to Numpy Library

5 - Creating Arrays from Scratch

6 - Creating Arrays from Scratch Continued

7 - Array Indexing and Slicing

8 - Numpy Array Functions and Shape Modification

9 - Mathematical Operations on Numpy Arrays

10 - Introduction to Pandas Library

11 - Working with Pandas DataFrames

12 - Slicing and Indexing with Pandas

13 - Create DataFrame and Explore Dataset

14 - Data Analysis with Pandas DataFrame

15 - Other Useful Methods in Pandas Library

16 - Introduction to Matplotlib

17 - Customizing Line Plots

18 - Create Plot Using DataFrame

19 - Standard Scaler to Scale the Data

20 - Encoding Categorical Data

21 - Sklearn Pipeline and Column Transformer

22 - Evaluation Metrics in Sklearn

23 - Linear Regression

24 - Evaluation of Linear Regression Model

25 - Polynomial Regression

26 - Polynomial Regression Continued

27 - Sklearn Pipeline Polynomial Regression

28 - Decision Tree Classifier

29 - Decision Tree Evaluation

30 - Random Forest

31 - Support Vector Machines

32 - Kmeans Clustering

33 - KMeans Clustering Hands On

34 - Data Loading and Analysis

35 - Dimensionality Reduction with PCA

36 - Hyper Parameter Tuning

37 - Summary

2 - Machine Learning with Python Case Study Covid19 Mask Detector

38 - Introduction to Course

39 - Getting System Ready

40 - Read and Write Images

41 - Resize and Crop

42 - Working with Shapes

43 - Working with Text

44 - PreRequisite for Face Detection

45 - Detect the Face

46 - Introduction to Deep Learning with Tensorflow

47 - Model Building

48 - Training the Mask Detector

49 - Saving the Best Model

50 - Basic Front End Design of App

51 - File Upload Interface for App

52 - App Prep

53 - App Build and Testing

54 - AWS Deployment

55 - AWS Deployment Continued

3 - Machine Learning Python Case Study Diabetes Prediction

56 - Introduction to Pima Indians Diabetes Using Machine Learning

57 - Installation of Anaconda

58 - Installation of Libraries

59 - Steps in Machine Learning

60 - Dataset and Logistic Regression

61 - Pima Classification

62 - Exclude the Header

63 - Conversion of String into Number

64 - Split the Dataset

65 - Check the ROC

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تولید کننده: Udemy