DS 200: Introduction to Data SciencesPython
Java Python DS 200: Introduction to Data Scie****nces
Description
DS 200: 引言到数据科学（4学分） - 数据科学是一门迅速发展的新兴学科
Materials
I am going to utilize a variety of resources for this course. The subsequent section lists the primary sources.
Machine___Learning___in___Python___Cookbook__:___Practical___Solutions___from___Preprocessing___to___Deep___Learning___by___Chris___Albon
The Python Machine Learning Bible: A Comprehensive Guide for Data Scientists by Andreas C. Müller and Sarah Guido
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow:Foundations, Tools, and Techniques to Build Intelligent Systems by Aurélien Géron
Useful** __Links :**
https://colab.research.google.com/
https://pandas.pydata.org/docs/ https://matplotlib.org/
Course Format:
This is a web-based class, and we will adhere to the web or remote asynchronous format for this class. Please visit the remote learning help page at keeplearning.psu.edu for frequently asked questions and helpful links related to remote learning assistance.
I employ a partially flipped classroom model in my classes. Online classes will adhere to this structure: All modules for each week are made available at the start of that week. Each module segment includes video content and an accompanying worksheet. The weekly discussion forum is where you should submit your questions about each worksheet. You must upload all completed assignments by their respective deadlines, as these contribute 10% towards your final grade.
Reading : Expect that you should read the slides and a book section prior to each session.
Homework : Students are required to submit homework assignments via DataCamp. This platform will provide access to all homework submissions.
Grading of** __the __****Course:**
| Grading Category | PercentageofFinal****Grade |
|---|---|
| Class Participation**(worksheets)** | 10% |
| Homework | 15% |
| Quizzes | 10% |
| Exam****1 | 20% |
| Exam****2 | 20% |
| Final Exam | 25% |
Course Grading** __****Scale**
The following are minimum cutoffs for each grade:
• 93.00% = A
• 90.00% = A-
• 87.00% = B+
• 83.00% = B
• 80.00% = B-
• 77.00% = C+
• 70.00% = C
• 60.00% = D
• less than 60