Pinned

1. Handgun-Detection Handgun-Detection Public

   Created a CNN using TensorFlow with model accuracy of 95.79% having 5 feature extraction layers for curve, edge detection and patterns from 224*224 input images from 3000 raw .jpg image dataset

   Jupyter Notebook 1

2. NYC-Arrest-DW-BI NYC-Arrest-DW-BI Public

   Designed and developed Dimensional Model and performed data profiling, ETL operations for staging using Alteryx. Created data integration workflow in Talend to load data in AzureSQL and BigQuery DW…

   1

3. Bank-Loan-Status-Predictive-Analysis Bank-Loan-Status-Predictive-Analysis Public

   erformed a predictive analysis on the customer's Bank Loan Application data to predict loan status. Using python, pandas, scipy, seaborn, AutoML libraries, and machine learning techniques. Used Mac…

   Jupyter Notebook

4. IMDB-Data-Warehouse-and-BI IMDB-Data-Warehouse-and-BI Public

   Designed and developed Dimensional Model and performed data profiling, ETL operations for staging using Alteryx. Created data integration workflow in Talend to load data in AzureSQL and BigQuery DW…

   1 1

5. TMNIST-Digits-Identification TMNIST-Digits-Identification Public

   We created sequential CNN model with 2 layer and after 5 rounds of training with 64 sets of data in each step we got accuracy of 99% which is pretty good for 2 layer CNN The accuracy of the model d…

   Jupyter Notebook

6. EScooter-Data-Pipeline EScooter-Data-Pipeline Public

   An Automated data pipeline using "Apache Airflow" performing "ETL" on RAW data using "Pandas" library then stage data into "PostgreSQL" then process it distributed cluster and parallelly using "Spa…

   Python 3 1