This is my data science portfolio consisting of several machine learning use cases
- PREDICTO - DJANGO INTEGRATED ML APPLICATION
- ADVANCED REGRESSION TECHNIQUES (SOURCE CODE)
- BASIC REGRESSION TECHNIQUES (SOURCE CODE)
- CREDIT AI - FLASK INTEGRATED ML APPLICATION
- BASIC CLASSIFICATION TECHNIQUES (SOURCE CODE)
- INCOME CLASSIFICATION (SOURCE CODE)
- SALES FORECASTING USING RNN (SOURCE CODE)
- RNN SAMPLE USE CASE - PYTORCH (SOURCE CODE)
- LSTM SAMPLE USE CASE - PYTORCH (SOURCE CODE)
- CUSTOMER SEGMENTATION (SOURCE CODE)
- SPECTRAL CLUSTERING (SOURCE CODE)
- BASIC CLUSTERING TECHNIQUES
- TRANSFER LEARNING WITH KERAS (SOURCE CODE)
- CUSTOMER CHURN ANALYSIS (SOURCE CODE)
- BASIC ANN AND CNN (SOURCE CODE)
- WEB TRAFFIC FORECASTING (SOURCE CODE)
- STOCK PRICE FORECASTING (SOURCE CODE)
- SHAMPOO SALES FORECASTING (SOURCE CODE)
- QUORA DUPLICATE QUESTION IDENTIFICATION (SOURCE CODE)
- SPAM MESSAGE IDENTIFICATION (SOURCE CODE)
- AUTHOR DETECTION (SOURCE CODE)
- TAG GENERATOR (SOURCE CODE)
- WAKE UP (SOURCE CODE)
- ETERNCOP (SOURCE CODE)
- GAIETY (SOURCE CODE)