
Senior Full-Stack Developer Highly passionate, enthusiastic and self-learning Well-qualified full-stack developer familiar with a wide range of programming utilities and languages. Knowledgeable of backend and frontend development requirements. Handles any part of the process with ease. Collaborative team player with excellent technical abilities offering two years of related experience.
Collected 50 people face data and applied image processing techniques including image augmentation, segmentation, filters for enhancing data for getting accurate face recognition and built custom transfer learning model to train faces and saved it
Load images along with their captions from the dataset and preprocess them using TensorFlow Keras preprocessing module Applied transfer learning, in which I have used the Inception pre- trained model for extracting objects from images Built a combined neural network of Convolutional neural network (CNN) and a long-short- term memory network (LSTM)
Found dataset from yahoo finance and prepared it for prediction applying data preprocessing steps Taken close price from data, prepared based on time sequence and applied 3 different regression algorithms, which were Super vector regressor (SVR), Random Forest regressor (RFR) and K-nearest neighbors, along with 3 neural networks such as Long short-term memory (LSTM), Gated recurrent unit (GRU) and combination of both (LSTM+GRU) Then, I compared all six using various parameters like RMSE, MSE, R2 score, etc. For figuring out best one. Eventually, GRU predicted more accurate result then rest of five.