11-13-2024, 07:27 PM
![[Image: 359020115_tuto.jpg]](https://img87.pixhost.to/images/599/359020115_tuto.jpg)
1.29 GB | 00:43:50 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 Introduction (12.14 MB)
10 Reading the CSV Files Using Different Parameters in Pandas- Part 1 (176.09 MB)
11 Reading the CSV Files Using Different Parameters in Pandas- Part 2 (141.2 MB)
12 Class Project 1 (40.36 MB)
13 Class Project 2 (38.91 MB)
2 Introduction to machine learning in python (111.45 MB)
3 Understanding Machine Learning (95.13 MB)
4 Why use Python for Machine Learning (69.6 MB)
5 Getting Started (125.89 MB)
6 Basics of Python and Interface of the Jupyter Notebook (78.44 MB)
7 Numpy and it s Inbuilt Functions- Part 1 (83.28 MB)
8 Numpy and it s Inbuilt Functions- Part 2 (191.31 MB)
9 8 Learning Data Frames and Data Series in Pandas (157.7 MB)
1 Introduction (12.14 MB)
10 Reading the CSV Files Using Different Parameters in Pandas- Part 1 (176.09 MB)
11 Reading the CSV Files Using Different Parameters in Pandas- Part 2 (141.2 MB)
12 Class Project 1 (40.36 MB)
13 Class Project 2 (38.91 MB)
2 Introduction to machine learning in python (111.45 MB)
3 Understanding Machine Learning (95.13 MB)
4 Why use Python for Machine Learning (69.6 MB)
5 Getting Started (125.89 MB)
6 Basics of Python and Interface of the Jupyter Notebook (78.44 MB)
7 Numpy and it s Inbuilt Functions- Part 1 (83.28 MB)
8 Numpy and it s Inbuilt Functions- Part 2 (191.31 MB)
9 8 Learning Data Frames and Data Series in Pandas (157.7 MB)
Screenshot
![[Image: mq5KfOKV_o.jpg]](https://images2.imgbox.com/01/bc/mq5KfOKV_o.jpg)
![[Image: signature.png]](https://softwarez.info/images/avsg/signature.png)
