DS-Take-Home-Challenge

My practice on "A collection of take home chellenges".

Summary:

1. Conversion Rate

• Website conversion rate analysis

2. Spanish Translation AB Test

• A/B Test
• Dealing with datetime

3. Employee Retention

• Random Forest and its visualization

4. Identifying Fraudulent Activities

• Dealing with datetime
• XGBoost, cross_validation
• Random Forest TreeClassifier
• Feature Importance

5. Funnel Analysis

• Coversion ratio calculation
• DataFrame manipulation

6. Pricing Test

• AB test
• Conversion rate visualization

7. Marketing Email Campaign

• Confusion Matrix
• Random Forest Classifier

8. Song Challenge

• Deal with JSON file
• Groupby and DataFrame manipulation
• Recommendation Model using KNN

9. Cluster Grocery

• Parse columns with multiple values
• KMeans clustering and visualization

10. Credit Card Transactions

• Functions to detect credit fraud
• Analysis of credit limit

11. User Referral Program

• A/B test

12. Loan Granting

• Grandient Boosting vs Random Forest vs Logistic Regression
• Hyperparameter Tuning

13. JSON City Similarity

• Dealing with JSON file
• Create City Similarity Matrix

14. Optimization of employee shuttle stops

• Using googlemap to measure the shortest distance

15. Diversity in the workplace

• Defined functions to calculate the nuber of employees in different levels
• Utilized GBM for salary prediction and feature importance

16. URL parsing challenge

• Reading TXT file and transform to pandas dataframe
• Using Groupby function and defined algorithms

17. Engagement Test

• Student's t-test
• A/B testing and its visualization

18. Online Video Challenge

• Defined functions to identify video categories
• Utilize video categories to provide product suggestions

19. Subscription Retention Rate

• Defined functions to calculate each group's retention rate
• Utilized log and exp function to predict the results and fit linear regression model

20. Ads Analysis

• Time series analysis on the ads trend
• Visualization of clustering results

References:

• https://github.com/stasi009/TakeHomeDataChallenges
• https://github.com/JifuZhao/DS-Take-Home