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Data Analysis with Python (IBM Data Analyst Professional Certificate)

Course Assignments

Graded Quiz: Importing Data Sets :Data Analysis with Python (IBM Data Analyst Professional Certificate) Answers 2025

1. Question 1 What Python library is primarily used for machine learning? ❌ pandas ❌ Numpy ❌ matplotlib ✅ scikit-learn Explanation:Scikit-learn is Python’s main machine-learning library (classification, regression, clustering). 2. Question 2 Replace column headers of DataFrame df: ❌ df.tail() = headers_list ✅ df.columns = headers_list ❌ df.tail(headers_list) ❌ df.head(headers_list) Explanation:Assigning to df.columns updates all… <a href="https://codeshala.io/platform/coursera/course/data-analysis-with-python-ibm-data-analyst-professional-certificate/assignment/graded-quiz-importing-data-sets-data-analysis-with-python-ibm-data-analyst-professional-certificate-answers-2025/" rel="bookmark"><span class="screen-reader-text">Graded Quiz: Importing Data Sets :Data Analysis with Python (IBM Data Analyst Professional Certificate) Answers 2025</span></a>

Graded Quiz: Data Wrangling :Data Analysis with Python (IBM Data Analyst Professional Certificate) Answers 2025

1. Question 1 Method to replace missing values for continuous attributes: ❌ Educated guess ❌ Mean square error ❌ Min–max difference ✅ Use the average of the other values in the column Explanation: For continuous variables, the most common imputation method is using the mean (average). 2. Question 2 First step when deciding bin values… <a href="https://codeshala.io/platform/coursera/course/data-analysis-with-python-ibm-data-analyst-professional-certificate/assignment/graded-quiz-data-wrangling-data-analysis-with-python-ibm-data-analyst-professional-certificate-answers-2025/" rel="bookmark"><span class="screen-reader-text">Graded Quiz: Data Wrangling :Data Analysis with Python (IBM Data Analyst Professional Certificate) Answers 2025</span></a>

Graded Quiz: Exploratory Data Analysis :Data Analysis with Python (IBM Data Analyst Professional Certificate) Answers 2025

1. Question 1 Elina wants summary statistics (count, mean, std). What should she use? ❌ head() ❌ tail() ✅ describe() ❌ summary() Explanation: df.describe() gives summary statistics for numerical columns. 2. Question 2 Pearson correlation close to zero means: ❌ Mean of data near zero ❌ Uncertainty between variables ❌ Minimal deviation ✅ Two variables… <a href="https://codeshala.io/platform/coursera/course/data-analysis-with-python-ibm-data-analyst-professional-certificate/assignment/graded-quiz-exploratory-data-analysis-data-analysis-with-python-ibm-data-analyst-professional-certificate-answers-2025/" rel="bookmark"><span class="screen-reader-text">Graded Quiz: Exploratory Data Analysis :Data Analysis with Python (IBM Data Analyst Professional Certificate) Answers 2025</span></a>

Graded Quiz: Model Development :Data Analysis with Python (IBM Data Analyst Professional Certificate) Answers 2025

1. Question 1 What does LinearRegression() do? ❌ Assigns a model to lm ❌ Fits regression to lm ❌ Predicts output ✅ Creates a linear regression object (model) — but does NOT store it in a variable unless assigned Explanation: LinearRegression() simply creates the model object.To store it: lm = LinearRegression() 2. Question 2 Residual… <a href="https://codeshala.io/platform/coursera/course/data-analysis-with-python-ibm-data-analyst-professional-certificate/assignment/graded-quiz-model-development-data-analysis-with-python-ibm-data-analyst-professional-certificate-answers-2025/" rel="bookmark"><span class="screen-reader-text">Graded Quiz: Model Development :Data Analysis with Python (IBM Data Analyst Professional Certificate) Answers 2025</span></a>

Graded Quiz: Model Evaluation and Refinement :Data Analysis with Python (IBM Data Analyst Professional Certificate) Answers 2025

1. Question 1 What doescross_val_predict(lr_model, X_train, y_train, cv=3)return? ❌ Predicted values of the test set ❌ List of residual errors ❌ Average R² score ✅ Predicted values for each training point using cross-validation Explanation: cross_val_predict returns cross-validated predictions, not scores or residuals. 2. Question 2 Correct way to define a list of alpha values for… <a href="https://codeshala.io/platform/coursera/course/data-analysis-with-python-ibm-data-analyst-professional-certificate/assignment/graded-quiz-model-evaluation-and-refinement-data-analysis-with-python-ibm-data-analyst-professional-certificate-answers-2025/" rel="bookmark"><span class="screen-reader-text">Graded Quiz: Model Evaluation and Refinement :Data Analysis with Python (IBM Data Analyst Professional Certificate) Answers 2025</span></a>