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Performing various NLP Tasks including Sentiment Analysis, Named Entity Recognition,Question Answering, Intent Recognition using BERT NLP framework
Jupyter Notebook
Image Classification using latest algorithms such as EfficientNet trained using Google TPU in Tensorflow/Keras
Using XGBoost , Gradient Boosted Trees to perform advanced regression and classification on structured tabular data
Object Detection and Bounding Box Prediction using YOLO5 and EfficientDet , Image Augmentations and Test Time Augmentations
Jupyter Notebook 2 1
Python EDA and Visualization Using , Matplotlib, Seaborn,Plotly and Bokeh. Map visualization using Folium
Jupyter Notebook 1
Coursera Getting and Cleaning Data
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