Coursera Assignment Solutions Python

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Kayleen

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Aug 4, 2024, 9:10:57 PM8/4/24
to oblauhepils
ihave a coursera assignment in jupyter notebook the problem is that in jupyter it runs correctly but when i submit it fail and shows this error :Can't compile the student's code. invalid syntax (student_solution.py, line 23)

Hint: Your network might work better if you scale the house price down. You don't have to give the answer 400...it might be better to create something that predicts the number 4, and then your answer is in the 'hundreds of thousands' etc.


All questions are weighted the same in this assignment. This assignment requires more individual learning then the last one did - you are encouraged to check out the pandas documentation to find functions or methods you might not have used yet, or ask questions on Stack Overflow and tag them as pandas and python related. All questions are worth the same number of points except question 1 which is worth 17% of the assignment grade.


Load the energy data from the file assets/Energy Indicators.xls, which is a list of indicators of energy supply and renewable electricity production (assets/Energy%20Indicators.xls) from the United Nations for the year 2013, and should be put into a DataFrame with the variable name of Energy.


Keep in mind that this is an Excel file, and not a comma separated values file. Also, make sure to exclude the footer and header information from the datafile. The first two columns are unneccessary, so you should get rid of them, and you should change the column labels so that the columns are:


Finally, load the Sciamgo Journal and Country Rank data for Energy Engineering and Power Technology from the file assets/scimagojr-3.xlsx, which ranks countries based on their journal contributions in the aforementioned area. Call this DataFrame ScimEn.


Use the following dictionary to group the Countries by Continent, then create a DataFrame that displays the sample size (the number of countries in each continent bin), and the sum, mean, and std deviation for the estimated population of each country.


I completed the course in about three days. I've never programmed before to the learning curve was excruciating but nonetheless I managed to get through and finally get my python feet wet so to speak.


The course is amazing for beginners. You can learn the language here but if you're looking up on this course for logic development, this is the wrong place. Very few probelms to solve, yet a must try!


Hello, I am Sayed Abbas Shah from Pakistan. I get enrolled in this course through financial aid. I enjoy this course too much and the way Mr. chuck deliver the lecture was too fun. I love this course.


Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:


The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.


When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.


Course creators, welcome a completely reworked solution for course configuration files storage! Previously, all course metadata was stored in XML format. Now you can see all the information about your course conveniently stored in YAML format. We worked hard to make this possible and we hope that you will like the YAML support as much as we do.


Our new featured Scala Tutorial course provides a quick intro to the Scala programming language. Its content is based on the open source Scala Tutorial and covers the basics of functional and object-oriented programming in a hands-on series of exercises.


Install the Scala plugin or download the IntelliJ IDEA Edu with the bundled Scala plugin, go to File Learn and Teach Browse courses, select Scala Tutorial, and get ready to learn!


Since the course was introduced, learners have been able to complete programming assignments in various programming languages. Now, for those students who are submitting solutions in Python, the course provides integration with the EduTools plugin and encourages learners to solve programming challenges in PyCharm Edu before submitting the solution on the course page. As a professional IDE, PyCharm Edu helps learners format and structure their code, as well as test and debug it.


Note that the course is featured on Coursera and is a paid one. You can still solve tasks and run basic local test cases for free, but you need to join the course on Coursera to submit, verify on a large number of test cases and get a certificate. At Coursera, a trial period and financial aid are available.


Please welcome the IDE builds for PyCharm Edu 2019.1.2 and IntelliJ IDEA Edu 2019.1.2 (IntelliJ IDEA Community Edition with the EduTools plugin). They combine the builds for PyCharm 2019.1.3 and IntelliJ IDEA 2019.1.3 and the latest plugin updates in v2.7.


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Canvas Information: Courses will be available beginning January 06, 2020, 6 am PT unless you are taking an intensive or a one-unit or two-unit class that starts on a different day. In that case, the class will open on the first day that the class meets.


*Students must have a strong understanding of HTML5 and CSS3, and may be asked to produce evidence either in the form of a responsive website built using HTML5 and CSS3 or class transcripts showing classwork with HTML5 and CSS3.


Case projects provide students with an opportunity to evaluate different computer environment situations and decide on a course of action to remedy problems. The goal is to help students sharpen their decision-making and troubleshooting skills and they will work in teams.


Participation (10 points supports CLOs 1-4)

Students are expected to participate by submitting questions, offer classmates potential solutions, discuss ideas that interest them. Participation is not dictated - certainly, tho, learning is better when combined with teaching!


While the instructor cannot be your tech support, everything has been tested before the course. There may be times when students will have to search online for answers, contact the SJSU tech support staff, share their questions with the instructor and fellow students. Given the variety of individual computer set-ups, it's necessary to get to know your own computing environment.


Success in this course is based on the expectation that students will spend, for each unit of credit, a minimum of forty-five hours over the length of the course (normally 3 hours per unit per week with 1 of the hours used for lecture) for instruction or preparation/studying or course related activities including but not limited to internships, labs, clinical practica. Other course structures will have equivalent workload expectations as described in the syllabus.


Instructional time may include but is not limited to:

Working on posted modules or lessons prepared by the instructor; discussion forum interactions with the instructor and/or other students; making presentations and getting feedback from the instructor; attending office hours or other synchronous sessions with the instructor.


Student time outside of class:

In any seven-day period, a student is expected to be academically engaged through submitting an academic assignment; taking an exam or an interactive tutorial, or computer-assisted instruction; building websites, blogs, databases, social media presentations; attending a study group;contributing to an academic online discussion; writing papers; reading articles; conducting research; engaging in small group work.


This course supports Informatics SLO 4: Use best practices in Web application design and information architecture to design and develop user-centered knowledge structures for the Web environment and to communicate deliverables to project stakeholders.



SLO 4 supports the following Informatics Program Learning Outcomes (PLOs):


Per University Policy S16-9, university-wide policy information relevant to all courses, such as academic integrity, accommodations, etc. will be available on Office of Graduate and Undergraduate Programs' Syllabus Information web page at: -info.php. Make sure to visit this page, review and be familiar with these university policies and resources.


There are no prerequisites. This course is quite autonomous. However, this subject will address issues related to mathematical calculation, probability and signal theory, so knowledge is needed in these areas. On the other hand, related to programming, students must code in the practices and that means they need a good programming base. For all this it is advisable to have the courses "Programming Laboratory", "Programming Methodology" and "Fundamentals of Computing" made and, by affinity in the content, also "Artificial Intelligence".


The subject of Computer Vision is in the mention of "Computing" among the subjects of "Knowledge, Reasoning and Uncertainty", "Computational Learning" and "Robotics, Language and Planning" that are part of the subject called Cognitive Systems . Therefore, its contents are related in some way to the subject of Artificial Intelligence of the second year.



The objectives of the subject can be summarized in:



Knowledge:

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