Python-数据科学与机器学习简介 A-Z

上次更新时间：2024-11-28

课程售价: 2.9 元

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课程内容

1. Introduction

1. Introduction (免费)
2. What is Data Science (免费)
3. Installation of Anaconda and Jupyter
4. Introduction to Jupyter Part 1
5. Introduction to Jupyter Part 2

2. Basic Statstics knowledge

1. The Basics of Data
2. The basics of statistics part 1
3. The basics of statistics part 2
4. The basics of statistics part 3
5. The basics of statistics part 4
6. The basics of statistics part 5
7. The basics of statistics part 6

3. Python library NumPy

1. Introduction to Numpy
2. Setting up NumPy
3. Basic calculations Part 1
4. Basic calculations Part 2
5. Basic calculations Part 3
6. Basic calculations Part 4
7. Basic calculations Part 5

4. Python library Pandas

1. The Basics of Pandas
2. Setting up Pandas
3. Pandas operations part 1
4. Pandas operations part 2
5. Pandas operations part 3
6. Pandas operations part 4
7. Pandas operations part 5

5. Python library Scipy

1. The Basics of SciPy
2. SciPy operations part 1
3. SciPy operations part 2
4. SciPy operations part 3
5. SciPy operations part 4
6. SciPy operations part 5

6. Python library Matplotlib

1. Introduction to Matplotlib
2. Setting up MatPlotlib
3. Basics of matplotlib part 1
4. Basics of matplotlib part 2
5. Basics of matplotlib part 3
6. Basics of matplotlib part 4
7. Basics of matplotlib part 5

7. Python library Seaborn

1. Introduction to Seaborn
2. Setting up seaborn
3. Seaborn operations part 1
4. Seaborn operations part 2
5. Seaborn operations part 3
6. Seaborn operations part 4

8. Machine Learning

1. Introduction to machine learning
2. Presentation of Different algorithms
3. Machine learning algorithms part 1
4. Machine learning algorithms part 2
5. Machine learning algorithms part 3

9. Conclusion

1. Conclusion

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Python-数据科学与机器学习简介 A-Z

Python-Introduction to Data Science and Machine learning A-Z

上次更新时间：2024-11-28 12:54

课程售价：2.9元

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课程内容

9个章节 , 51个讲座

1. Introduction

1. Introduction (免费)
2. What is Data Science (免费)
3. Installation of Anaconda and Jupyter
4. Introduction to Jupyter Part 1
5. Introduction to Jupyter Part 2

2. Basic Statstics knowledge

1. The Basics of Data
2. The basics of statistics part 1
3. The basics of statistics part 2
4. The basics of statistics part 3
5. The basics of statistics part 4
6. The basics of statistics part 5
7. The basics of statistics part 6

3. Python library NumPy

1. Introduction to Numpy
2. Setting up NumPy
3. Basic calculations Part 1
4. Basic calculations Part 2
5. Basic calculations Part 3
6. Basic calculations Part 4
7. Basic calculations Part 5

4. Python library Pandas

1. The Basics of Pandas
2. Setting up Pandas
3. Pandas operations part 1
4. Pandas operations part 2
5. Pandas operations part 3
6. Pandas operations part 4
7. Pandas operations part 5

5. Python library Scipy

1. The Basics of SciPy
2. SciPy operations part 1
3. SciPy operations part 2
4. SciPy operations part 3
5. SciPy operations part 4
6. SciPy operations part 5

6. Python library Matplotlib

1. Introduction to Matplotlib
2. Setting up MatPlotlib
3. Basics of matplotlib part 1
4. Basics of matplotlib part 2
5. Basics of matplotlib part 3
6. Basics of matplotlib part 4
7. Basics of matplotlib part 5

7. Python library Seaborn

1. Introduction to Seaborn
2. Setting up seaborn
3. Seaborn operations part 1
4. Seaborn operations part 2
5. Seaborn operations part 3
6. Seaborn operations part 4

8. Machine Learning

1. Introduction to machine learning
2. Presentation of Different algorithms
3. Machine learning algorithms part 1
4. Machine learning algorithms part 2
5. Machine learning algorithms part 3

9. Conclusion

1. Conclusion