| Sr. No. | Experiment Name |
|---|---|
| 1 | Data Visualization |
| 2 | Data Exploration |
| 3 | Data Cleaning |
| 4 | Performance evaluation metrics for Data Models |
| 5 | House Price prediction using Neural Networks |
| 6 | SMOTE |
| 7 | Outlier detection using IQR, Z-score, LOF and DBSCAN |
| 8 | Time Series Prediction with LSTM Recurrent Neural Networks |
| Sr. No. | Experiment Name |
|---|---|
| 1 | Study various - 1. Social Media platforms ( Facebook, twitter, YouTube etc) 2. Social Media analytics tools ( Facebook insights, Google analytics,Netlytic etc) 3. Social Media Analytics techniques and engagement metrics (page level, post level, member level) 4. Applications of Social media analytics for business. |
| 2 | Data Collection - YouTube Data Scraping |
| 3 | Data Cleaning and Storage |
| 4 | Exploratory Data Analysis and visualization of Social Media Data for business. |
| 5 | Develop Content (text, emoticons, image, audio, video) based social media analytics model for business. |
| 6 | Develop Structure based social media analytics model for any business. ( e.g. Structure Based Models -community detection, influence analysis) |
| 7 | Develop a dashboard and reporting tool based on real time social media data. |
| 8 | Design the creative content for promotion of your business on social media |
| 9 | Analyze competitor activities using social media data. |
| 10 | Develop social media text analytics models for improving existing product/ service by analyzing customer‘s reviews/comments |