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Name: Kumar

Type: User

Bio: Insurtech Based Software Development Learnings is what I want from this collaborative tool.

Location: Japan

Blog: https://11kasa.jp/

Kumar's Projects

auto-insurance-renewal_prediction

A Classifier Model to Predict Customer will renew their insurance policy or not. Public Dataset taken from Kaggle ("Insurance Product Purchase Prediction").

bagofwordsmodelv1

Bag of Words Model & Naive Bayes Model Trial 1

bagofwordsmodelv2

Bag of Words Model & Naive Bayes Model Trial 2

chatbotimplement_seq2seq_v2

Implementing Chatbot using Various Models. (Sequence to Sequence Model)

chatbotimplement_v1

Implementing Chatbot using Various Models.

chatbotimplement_v3

Implementing Chatbot using Various Models. NodeJs type implementation method.

extractivesummarizationv1

Model created to generate a smaller synopsis from a Large Text File such as Wikipedia article to articulate the gist the entire text into few simple to read sentences.

installpretrainedmodelv1

How to install a pre-trained model using H5 files.

linearregv1

Using Salary Dataset to plot the scatter graph

pythonfundamentals

All main Syntax Formats used in the Python NLP code.

reinforcementlearningv1

Created a Reinforcement Learning Model to Predict & find the veracity of an Advert and customer's Click rate.

restaurantreviewusecasev1

Basic Restaurant reviews taken and analyzed for the reviewer's sentiment.

textgenerationlstm_v2

Text Generation using LSTM model (Variation to the code in V1)

textgenerationv1

To create a model that automatically generate new text from the input data. Use case identified was to Automate the blogging sites by automatically creating contents.

truakkount-whitepaper-p2p-insurco

A Whitepaper covering solutions to the pain points being faced by NexusMutual & other P2P systems.

tweetsunsupervisedmodel

Created Unsupervised model to classify Tweets into Positive and Negative according to sentiment shown

twitterscrapperv1

Scrapping Twitter for Tweets on a particular topic and analysing the sentiment of public on that particular topic.

Scrapping Twitter for Tweets on a particular topic and analysing the sentiment of public on that particular topic. Evolution of my code in twitterScrapperV1 as added Pre-Processing of Twitter Scrapped data..

twitterscrapperv3

Scrapping Twitter for Tweets on a particular topic and analysing the sentiment of public on that particular topic. Combined V1 & V2 code with API call of Twitter to create a corpus of Tweets scrapped directly from Twitter

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