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Architectshwet

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A NLP project about a brief application of tfidf vectorizer for text feature extraction and pipeline and feature union to chain multiple steps into one

Loan-prediction-using-Machine-Learning-and-Python

To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and matplotlib

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Flower-species-Recognition-using-Computer-vision-and-Machine-Learning

Used Convolutional Deep Neural nets to extract features from the image

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Amazon-Fine-Food-Reviews

Sentiment Analysis on Amazon Fine Food Reviews Data in Python

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Kaggle-Bike-Sharing-Demand-Challenge-

Predictive Analysis on Kaggle Bike Sharing Demand Challenge data in Python

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Customer-churn-prediction

A project about building a stacked model with tuning the hyperparameters with grid search and hyperopt and used PySpark to test the performance of model in Spark Clusters in AWS EC2 and ROSE to balance the target variable

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Allstate-Claims-Severity-Data

Predictive Analysis on Allstate claims Severity data in Python

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Text-Mining-Heathcare

A project about the brief application of tm & qdap libraries to clean the text data by forming corpus followed by applying dtm and further sparsity and designed a stacked model of random forest, gradient boost, xgboost & deeplearning by using h2o library for Machine Learning

Final-Year-Project-CED15I027-

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Mushroom-Classification

Data science project on mushroom classification data

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Text-classification-sarcastic-or-not

Text mining and Data Science applications on the twitter-data

Deep-Learning-modules-in-Keras

A project about the brief implementation of MLP, CNN, RNN, Unsupervised learning with Autoencoders, ETC, Text analytics using CNN in Python

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Deployed-multiple-Transformers-models-using-Amazon-SageMaker-Multi-Model-Endpoints

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Architectshwet/Toxic-Comment-Classification

Architectshwet

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