This repo consists of some data analysis and data visualization projects, mostly done in Jupyter notebooks.
The current list includes: 1. RHESSI - Data analysis and visualization: A study on the RHESSI data from NASA to interpret certain conclusions based on visualizations generated.
Inferences and detailed explaination of data can be found within the notebook.
Preview:
 Values showing linear relationships |
 Variance of EPSY w.r.t Latitudes and Longitudes |
 R_value w.r.t parameters |
 Heatmaps for more visualizations |
2. Sales prediction using ARIMA: Problem statement is to predict 3 months of item-level sales data at different store locations. Data contains 5 years of store-item sales data, for 50 different items at 10 different stores. Build an ARIMA model. Use SMAPE metric for model evaluation
Preview:
 Explore the training data |
 See the predictions properly |
3. Feature Extraction from Images: The goal is to create a machine learning model that extracts entity values from images. These images provide important information such as weight, volume, voltage, wattage, dimensions, and many more, which are critical for digital stores. Based on all the extracted dimensions with units, the model must output one single "x unit" pair in consideration to the entity_name provided like "weight" or depth.
Preview:
 Extracted entities: ['14.0 centimetre', '26.0 centimetre', '55.0 centimetre', '23.5 centimetre', '17.0 centimetre', '23.5 centimetre', '21.0 centimetre', '19.5 centimetre'] |
 Extracted entities: ['12.1 centimetre', '4.76 inch', '1.0 metre', '28.3 centimetre', '11.4 inch', '17.9 centimetre', '7.04 inch', ] |
 Extracted entities: ['7.0 centimetre', '4.0 centimetre', '1.5 centimetre', '1.2 metre'] |