Course Assignments
Graded Quiz: Importing Data Sets:Data Analysis with Python (Applied Data Science Specialization) Answers 2025
1. What Python library is primarily used for machine learning? ❌ pandas ❌ Numpy ❌ matplotlib ✅ scikit-learn Explanation: scikit-learn is the standard library for machine learning algorithms in Python. 2. Which command correctly replaces the column headers of a DataFrame? ❌ df.tail() = headers_list ✅ df.columns = headers_list ❌ df.tail(headers_list) ❌ df.head(headers_list) Explanation: df.columns… <a href="https://codeshala.io/platform/coursera/course/data-analysis-with-python-applied-data-science-specialization/assignment/graded-quiz-importing-data-setsdata-analysis-with-python-applied-data-science-specialization-answers-2025/" rel="bookmark"><span class="screen-reader-text">Graded Quiz: Importing Data Sets:Data Analysis with Python (Applied Data Science Specialization) Answers 2025</span></a>
Graded Quiz: Data Wrangling :Data Analysis with Python (Applied Data Science Specialization) Answers 2025
1. Replace missing value for continuous attribute ❌ Use an educated guess ❌ Use the mean square error ❌ Use the difference between min and max ✅ Use the average of the other values in the column Explanation: For continuous numeric data, the standard method is replacing missing values with the mean. 2. First step… <a href="https://codeshala.io/platform/coursera/course/data-analysis-with-python-applied-data-science-specialization/assignment/graded-quiz-data-wrangling-data-analysis-with-python-applied-data-science-specialization-answers-2025/" rel="bookmark"><span class="screen-reader-text">Graded Quiz: Data Wrangling :Data Analysis with Python (Applied Data Science Specialization) Answers 2025</span></a>
Graded Quiz: Exploratory Data Analysis :Data Analysis with Python (Applied Data Science Specialization) Answers 2025
1. Question 1 While exploring a dataset with Pandas, Elina wants summary statistics (count, mean, std). What should she use? ❌ head() ❌ tail() ✅ describe() ❌ summary() Explanation:describe() gives statistical summaries like count, mean, std, min, max — exactly what Elina needs. 2. Question 2 Pearson correlation is close to zero. What does this… <a href="https://codeshala.io/platform/coursera/course/data-analysis-with-python-applied-data-science-specialization/assignment/graded-quiz-exploratory-data-analysis-data-analysis-with-python-applied-data-science-specialization-answers-2025/" rel="bookmark"><span class="screen-reader-text">Graded Quiz: Exploratory Data Analysis :Data Analysis with Python (Applied Data Science Specialization) Answers 2025</span></a>
Graded Quiz: Model Development: :Data Analysis with Python (Applied Data Science Specialization) Answers 2025
1. Question 1 What does LinearRegression() do? ❌ Assigns a linear regression model to the lm variable ❌ Fits a regression object to the variable lm ❌ Predicts output values of a linear regression object ✅ Creates a linear regression object and stores it in the lm variable Explanation:LinearRegression() initializes/creates a linear regression model object.… <a href="https://codeshala.io/platform/coursera/course/data-analysis-with-python-applied-data-science-specialization/assignment/graded-quiz-model-development-data-analysis-with-python-applied-data-science-specialization-answers-2025/" rel="bookmark"><span class="screen-reader-text">Graded Quiz: Model Development: :Data Analysis with Python (Applied Data Science Specialization) Answers 2025</span></a>
Graded Quiz: Model Evaluation and Refinement :Data Analysis with Python (Applied Data Science Specialization) Answers 2025
1. Question 1 What does cross_val_predict(lr_model, X_train, y_train, cv=3) return? ❌ Predicted values of the test set using cross-validation. ❌ Computed a list of residual errors for the training set. ❌ Calculated the average R2 score from each fold. ✅ Predicted values of the training set using cross-validation. Explanation:cross_val_predict returns predictions for each training sample,… <a href="https://codeshala.io/platform/coursera/course/data-analysis-with-python-applied-data-science-specialization/assignment/graded-quiz-model-evaluation-and-refinement-data-analysis-with-python-applied-data-science-specialization-answers-2025/" rel="bookmark"><span class="screen-reader-text">Graded Quiz: Model Evaluation and Refinement :Data Analysis with Python (Applied Data Science Specialization) Answers 2025</span></a>
Final Exam :Data Analysis with Python (Applied Data Science Specialization) Answers 2025
1. Question 1 Which describes a file with plain text, rows, and columns? ❌ A text file containing key-value pairs ❌ An array of values separated by a comma ❌ A Microsoft Excel spreadsheet ✅ A text file that saves data in tables Explanation:A plain-text table with rows/columns is a structured text table (like CSV/TSV).… <a href="https://codeshala.io/platform/coursera/course/data-analysis-with-python-applied-data-science-specialization/assignment/final-exam-data-analysis-with-python-applied-data-science-specialization-answers-2025/" rel="bookmark"><span class="screen-reader-text">Final Exam :Data Analysis with Python (Applied Data Science Specialization) Answers 2025</span></a>