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Dear Learner, Please submit your final report here. Review Parameters Review Points 1. Introduction 3 - Brief introduction about the problem statement and the need of solving it. 2. EDA and Business Implication 5 - Uni-variate / Bi-variate / Multi-variate analysis to understand relationship b/w variables. How your analysis is impacting the business? - Both visual and non-visual understanding of the data. 3. Data Cleaning and Pre-processing 8 - Approach used for identifying and treating missing values and outlier treatment (and why) - Need for variable transformation (if any) - Variables removed or added and why (if any) 4. Model building 8 - Clear on why was a particular model(s) chosen. - Effort to improve model performance. 5. Model validation 8 - How was the model validated? Just accuracy, or anything else too? 6. Final interpretation / recommendation 8 - Detailed recommendations for the management/client based on the analysis done.

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Business Problem:
We all know that Health care is very important domain in the market. It is directly linked with the life
of the individual; hence we have to be always be proactive in this particular domain. Money plays a
major role in this domain, because sometime treatment becomes super costly and if any individual is
not covered under the insurance then it will become a pretty tough financial situation for that
individual. The companies in the medical insurance also want to reduce their risk by optimizing the
insurance cost, because we all know a healthy body is in the hand of the individual only. If individual
eat healthy and do proper exercise the chance of getting ill is drastically reduced.
Goal & Objective: The objective of this exercise is to build a model, using data that provide the
optimum insurance cost for an individual. You have to use the health and habit related parameters for
the estimated cost of insurance
File: Data.csv
Target variable: insurance_cost
Data dictionary:

Variable	Business Definition
applicant_id	Applicant unique ID
years_of_insurance_with_u s	Since how many years customer is taking policy from the same company only
regular_checkup_lasy_year	Number of times customers has done the regular health check up in last one year
adventure_sports	Customer is involved with adventure sports like climbing, diving etc.
Occupation	Occupation of the customer
visited_doctor_last_1_year	Number of times customer has visited doctor in last one year
cholesterol_level	Cholesterol level of the customers while applying for insurance
daily_avg_steps	Average daily steps walked by customers
age	Age of the customer
heart_decs_history	Any past heart diseases
other_major_decs_history	Any past major diseases apart from heart like any operation
Gender	Gender of the customer
avg_glucose_level	Average glucose level of the customer while applying the insurance
bmi	BMI of the customer while applying the insurance
smoking_status	Smoking status of the customer
Year_last_admitted	When customer have been admitted in the hospital last time
Location	Location of the hospital
weight	Weight of the customer
covered_by_any_other_co mpany	Customer is covered from any other insurance company
Alcohol	Alcohol consumption status of the customer
exercise	Regular exercise status of the customer
weight_change_in_last_one _year	How much variation has been seen in the weight of the customer in last year
fat_percentage	Fat percentage of the customer while applying the insurance
insurance_cost	Total Insurance cost

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