Sangeet Saurabh's repositories

BIO_NER

Recognize Bio Medical Named Entity using BioBert transformer

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PracticeFusionKaggleData

Machine Learning model to predict Acid Reflux using publicly available Practice Fusion Health Records at Kaggle.

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Street-Number-Recognition

Build a Street Number Recognition Deep Learning model (Convolutional Neural Network)

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Titanic-Survival-Exploration

Explore a RMS Titanic passenger dataset to predict survivor on Titanic ship

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Bike_Sharing

A Neural Network to predict daily bike rental ridership

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Boston-housing

Predicting Boston Housing Prices using decision tree algorithm

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CORD19-NER

Training a model to predict NER on Covid 19 published articles

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Language-Translation

Language Translation using Sequence to Sequence Recurrent Neural Network

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SurvivabilityofSepsisShockpatients

Machine Learning model to predict survivability of Sepsis shock patients

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tweet_phrase_kaggle_competition

The goal of this repository is to explain the approach taken to participate in a Kaggle NLP competition.

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Customer-Segments

Creating Customer Segments using principal component analysis (PCA) and K-means clustering of unsupervised machine learning

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Face-Generation

Face Generation using Generative adversarial networks (GANs) type of Neural Network

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Finding-Donors

Finding Donors for CharityML using Gradient Boosting Classifier, Ada Boost Classifier and Logistic Regression

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image_classification

Convolutional neural network for image Classification

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Machine-Learning-Classification

Implementation of Classification models using including logistic regression, decision trees and boosting

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Machine-Learning-Clustering-Retrieval

Finding Similar Documents using clustering and retrieval

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Machine-Learning-Regression

Regularized linear regression models for prediction and feature selection

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ML-Foundation-a-case-study-approach

Application of regression, classification, clustering, retrieval and recommender systems to implement basic use cases for machine learning

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PyTorch_Keras_Experiment

NLP model to predict next text based number given a set of text based numbers

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Smartcab

Reinforcement Learning model to train a smart cab

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TV-Script-generation

TV script generation using Word Embedding and Recurrent Neural Network(RNN)

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