Question: Part 1 : Data Science Concept Describe a real - world scenario where data science could be beneficial. Explain what data might be used and

Part 1: Data Science Concept
Describe a real-world scenario where data science could be beneficial. Explain what data might be used and what insights could be obtained.
Briefly explain the four key stages of the data science process (data gathering, cleaning, analysis, and communication).
Part 2: Analysis
Imagine you're analyzing the provided dataset on the Titanic disaster, containing information about passengers onboard the ship (including survival status, age, class, sex, etc.).
Using this dataset, calculate and explain the following:
Mean age of passengers
Standard deviation of age
Survival rate (percentage of passengers who survived)
Create a histogram to visualize the distribution of age across different passenger classes (1st,2nd,3rd). Briefly describe what the histogram reveals about the age distribution within each class.
Part 3: Types of Learning
Differentiate between supervised and unsupervised learning. Provide an example of each.
Briefly explain the concept of reinforcement learning.
Part 4: Regression
Imagine you're tasked with predicting survival rates on the Titanic based on passenger age and class. Explain why you might use a regression model and specify the type of regression (linear or non-linear) you might consider and why.
Describe two metrics used to evaluate the performance of a regression model.
Part 5: Classification
Imagine you are classifying passengers on the Titanic as survived or not survived.
Explain how a decision tree algorithm might approach this task, considering features like age, sex, and class.
2. Briefly describe the role of a support vector machine (SVM) in classification and how it separates data points.
3. When evaluating a classification model, what are the key differences between precision and recall? Provide an example to illustrate these concepts.
Part 6:
Choose a real-world dataset you're interested in (e.g., weather data, movie ratings). Briefly describe the data and propose a data science project you could undertake using the concepts covered in this assignment.
Submission Instructions:
Please submit your answer in one PDF file.
Part 1 : Data Science Concept Describe a real -

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