sangeetsaurabh

Bike_Sharing

A Neural Network to predict daily bike rental ridership

BIO_NER

Recognize Bio Medical Named Entity using BioBert transformer

Boston-housing

Predicting Boston Housing Prices using decision tree algorithm

CORD19-NER

Training a model to predict NER on Covid 19 published articles

Language-Translation

Language Translation using Sequence to Sequence Recurrent Neural Network

PracticeFusionKaggleData

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

Street-Number-Recognition

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

SurvivabilityofSepsisShockpatients

Machine Learning model to predict survivability of Sepsis shock patients

Titanic-Survival-Exploration

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

tweet_phrase_kaggle_competition

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

sangeetsaurabh/BIO_NER

Recognize Bio Medical Named Entity using BioBert transformer

sangeetsaurabh/PracticeFusionKaggleData

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

sangeetsaurabh/Street-Number-Recognition

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

sangeetsaurabh/Titanic-Survival-Exploration

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

sangeetsaurabh/Bike_Sharing

A Neural Network to predict daily bike rental ridership

sangeetsaurabh/Boston-housing

Predicting Boston Housing Prices using decision tree algorithm

sangeetsaurabh/CORD19-NER

Training a model to predict NER on Covid 19 published articles

sangeetsaurabh/Language-Translation

Language Translation using Sequence to Sequence Recurrent Neural Network

sangeetsaurabh/SurvivabilityofSepsisShockpatients

Machine Learning model to predict survivability of Sepsis shock patients

sangeetsaurabh/tweet_phrase_kaggle_competition

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

sangeetsaurabh/Customer-Segments

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

sangeetsaurabh/databricks_spark

sangeetsaurabh/Face-Generation

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

sangeetsaurabh/Finding-Donors

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

sangeetsaurabh/image_classification

Convolutional neural network for image Classification

sangeetsaurabh/Machine-Learning-Classification

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

sangeetsaurabh/Machine-Learning-Clustering-Retrieval

Finding Similar Documents using clustering and retrieval

sangeetsaurabh/Machine-Learning-Regression

Regularized linear regression models for prediction and feature selection

sangeetsaurabh/ML-Foundation-a-case-study-approach

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

sangeetsaurabh/PyTorch_Keras_Experiment

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

sangeetsaurabh/Smartcab

Reinforcement Learning model to train a smart cab

sangeetsaurabh/TV-Script-generation

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

sangeetsaurabh/utils