Notes

Write a note in this area. It's really easy to share with others. Click here ...Certainly, here's a list of subtasks for each of the main tasks I completed from Wednesday to Saturday:

**Data Preprocessing:**
1. Data Cleaning:
- Removed duplicate records.
- Standardized date formats.
- Handled missing values through imputation or removal.

2. Data Transformation:
- Applied data type conversions.
- Created new features for analysis.
- Scaled numerical features as needed.

3. Outlier Detection:
- Identified outliers using statistical methods.
- Decided whether to keep or remove outliers based on domain knowledge.

**Exploratory Data Analysis (EDA):**
1. Data Visualization:
- Created histograms, scatter plots, and box plots.
- Examined data distributions.
- Plotted correlation matrices.

2. Summary Statistics:
- Calculated mean, median, and standard deviation.
- Evaluated skewness and kurtosis.
- Analyzed central tendencies of variables.

3. Pattern Recognition:
- Detected trends and seasonality.
- Explored relationships between variables.
- Performed segmentation analysis.

**API Development:**
1. API Design:
- Designed API endpoints for data retrieval.
- Defined API structure and parameters.
- Specified authentication methods.

2. Notification System:
- Implemented notification triggers for data updates.
- Set up alerts for specific events.
- Integrated email and/or SMS notifications.

3. User Documentation:
- Created API documentation for users.
- Explained API usage and endpoints.
- Provided examples of API requests.

These subtasks contributed to the successful completion of the main tasks and ensured that data preprocessing, EDA, and API development were executed thoroughly and systematically. If you require more details on any specific subtask, please let me know.