priyabratathatoi Goto Github PK

advanced-cnn

VGG16 and image data augmentation

anomaly-detection---if-lof

Anomaly detection using unsupervised method is a challenging one. Isolated Random Forest and Local Outlier Factor are the most promising one. They detect outlier with highest recall possible.

complaint-classifier

Customer complaints are often misclassifier due to lack of business knowledge. This leads to wastage of time and often larger wait time for customers. To resolve this NLP based LDA & TF-IDF can be used to correctly classify.

covid-19-faq-chatbot

SARATHI is a RASA NLU powered chatbot that takes user inputs and responses in return. The chatbot uses the SpaCy language model to matches the user input with the intent repository. It also call s API to look up medical facilities based on the location and medical facility type provided

forecast-product-sale

forecasting-product-sale

forecasting-sales-using-rnn-lstm

This project illustrates the use of python tensor flow to design RNN model with a LSTM layer to forecast alcohol sales

godaddy-microeconomic-forcast

Kaggle competition : https://www.kaggle.com/competitions/godaddy-microbusiness-density-forecasting/code

godaddyforcasting

lendingclub-rate-of-return-prediction-using-socioeconomic-factors

market-basket-analysis

ml-deployment-configuration

The final stage of the ML lifecycle is the deployment. For that, the solution notebook has to be converted into a format that could be scalable. The basic approach is to convert the file to 3 different files that is a configuration file, preprocessing file & pipeline file

models-from-scratch

It has the ML coded in python from scratch

pbthatoi.github.io

A repository for all DS learning

predicting-no-show-appointment-using-neural-network

pubg-player-survival-modeling

pyspark-and-linear-regression

pytorch-deep-learning

sentiment-analysis-using-pytorch

sum_deliverymode

Predicting Delivery Mode

tensorflow-ml

web-scrapping-using-rselenium

This is a small project about scrapping records from a website using RSelenium

webscrapping-and-sentiment-analysis

This project is about scrapping data using Python and R followed by sentiment analysis

zbay-ctr-prediction

Zbay's CTR Prediction using Python & H20 AutoML. Zbay's is an e-commerce website. Users log in to their website and purchases the item. However, there are times, when users didn't make any purchases. Instead they go their competitors. In order to bring them back and make them purchases, Zbay's utilizes third-party to create ads on their website and redirect users to their website. In this project, the task is to predict the CTR probability on such ads