1

Этап 1

Course Introduction 3 lectures

2

Этап 2

Environment Set-Up 1 lecture

3

Этап 3

Jupyter Overview 3 lectures

4

Этап 4

Python Crash Course 8 lectures

5

Этап 5

Python for Data Analysis - NumPy 8 lectures

6

Этап 6

Python for Data Analysis - Pandas 11 lectures

7

Этап 7

Python for Data Analysis - Pandas Exercises 5 lectures

8

Этап 8

Python for Data Visualization - Matplotlib 7 lectures

9

Этап 9

Python for Data Visualization - Seaborn 9 lectures

10

Этап 10

Python for Data Visualization - Pandas Built-in Data Visualization 3 lectures

11

Этап 11

Python for Data Visualization - Plotly and Cufflinks 2 lectures

12

Этап 12

Python for Data Visualization - Geographical Plotting 5 lectures

13

Этап 13

Data Capstone Project 9 lectures

14

Этап 14

Introduction to Machine Learning 4 lectures

15

Этап 15

Linear Regression 6 lectures

16

Этап 16

Cross Validation and Bias-Variance Trade-Off 1 lecture

17

Этап 17

Logistic Regression 6 lectures

18

Этап 18

K Nearest Neighbors 4 lectures

19

Этап 19

Decision Trees and Random Forests 5 lectures

20

Этап 20

Support Vector Machines 4 lectures

21

Этап 21

K Means Clustering 4 lectures

22

Этап 22

Principal Component Analysis 2 lectures

23

Этап 23

Recommender Systems 3 lectures

24

Этап 24

Natural Language Processing 6 lectures

25

Этап 25

Big Data and Spark with Python 12 lectures

26

Этап 26

Neural Nets and Deep Learning 10 lectures

27

Этап 27

APPENDIX: OLD TENSORFLOW VIDEOS (Version 0.8) 7 lectures

1

Этап 1

Course Introduction 3 lectures

2

Этап 2

Environment Set-Up 1 lecture

3

Этап 3

Jupyter Overview 3 lectures

4

Этап 4

Python Crash Course 8 lectures

5

Этап 5

Python for Data Analysis - NumPy 8 lectures

6

Этап 6

Python for Data Analysis - Pandas 11 lectures

7

Этап 7

Python for Data Analysis - Pandas Exercises 5 lectures

8

Этап 8

Python for Data Visualization - Matplotlib 7 lectures

9

Этап 9

Python for Data Visualization - Seaborn 9 lectures

10

Этап 10

Python for Data Visualization - Pandas Built-in Data Visualization 3 lectures

11

Этап 11

Python for Data Visualization - Plotly and Cufflinks 2 lectures

12

Этап 12

Python for Data Visualization - Geographical Plotting 5 lectures

13

Этап 13

Data Capstone Project 9 lectures

14

Этап 14

Introduction to Machine Learning 4 lectures

15

Этап 15

Linear Regression 6 lectures

16

Этап 16

Cross Validation and Bias-Variance Trade-Off 1 lecture

17

Этап 17

Logistic Regression 6 lectures

18

Этап 18

K Nearest Neighbors 4 lectures

19

Этап 19

Decision Trees and Random Forests 5 lectures

20

Этап 20

Support Vector Machines 4 lectures

21

Этап 21

K Means Clustering 4 lectures

22

Этап 22

Principal Component Analysis 2 lectures

23

Этап 23

Recommender Systems 3 lectures

24

Этап 24

Natural Language Processing 6 lectures

25

Этап 25

Big Data and Spark with Python 12 lectures

26

Этап 26

Neural Nets and Deep Learning 10 lectures

27

Этап 27

APPENDIX: OLD TENSORFLOW VIDEOS (Version 0.8) 7 lectures

11 ноября 2019 01 февраля 2020
Цель просрочена на 1518 дней

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Автор не отписывался в цели 4 года 1 месяц 28 дней

Общая

[Udemy] Python for Data Science and Machine Learning Bootcamp

https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/

Description

Are you ready to start your path to becoming a Data Scientist!

This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!

Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!

This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!

This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 100 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course for data science and machine learning on Udemy!

We'll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning:

  • Programming with Python
  • NumPy with Python
  • Using pandas Data Frames to solve complex tasks
  • Use pandas to handle Excel Files
  • Web scraping with python
  • Connect Python to SQL
  • Use matplotlib and seaborn for data visualizations
  • Use plotly for interactive visualizations
  • Machine Learning with SciKit Learn, including:
  • Linear Regression
  • K Nearest Neighbors
  • K Means Clustering
  • Decision Trees
  • Random Forests
  • Natural Language Processing
  • Neural Nets and Deep Learning
  • Support Vector Machines
  • and much, much more!

Enroll in the course and become a data scientist today!

Who this course is for:

  • This course is meant for people with at least some programming experience
  1. Course Introduction 3 lectures

  2. Environment Set-Up 1 lecture

  3. Jupyter Overview 3 lectures

  4. Python Crash Course 8 lectures

  5. Python for Data Analysis - NumPy 8 lectures

  6. Python for Data Analysis - Pandas 11 lectures

  7. Python for Data Analysis - Pandas Exercises 5 lectures

  8. Python for Data Visualization - Matplotlib 7 lectures

  9. Python for Data Visualization - Seaborn 9 lectures

  10. Python for Data Visualization - Pandas Built-in Data Visualization 3 lectures

  11. Python for Data Visualization - Plotly and Cufflinks 2 lectures

  12. Python for Data Visualization - Geographical Plotting 5 lectures

  13. Data Capstone Project 9 lectures

  14. Introduction to Machine Learning 4 lectures

  15. Linear Regression 6 lectures

  16. Cross Validation and Bias-Variance Trade-Off 1 lecture

  17. Logistic Regression 6 lectures

  18. K Nearest Neighbors 4 lectures

  19. Decision Trees and Random Forests 5 lectures

  20. Support Vector Machines 4 lectures

  21. K Means Clustering 4 lectures

  22. Principal Component Analysis 2 lectures

  23. Recommender Systems 3 lectures

  24. Natural Language Processing 6 lectures

  25. Big Data and Spark with Python 12 lectures

  26. Neural Nets and Deep Learning 10 lectures

  27. APPENDIX: OLD TENSORFLOW VIDEOS (Version 0.8) 7 lectures

  • 627
  • 11 ноября 2019, 16:45
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