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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 matplotlibFlower-species-Recognition-using-Computer-vision-and-Machine-Learning
Used Convolutional Deep Neural nets to extract features from the imageAmazon-Fine-Food-Reviews
Sentiment Analysis on Amazon Fine Food Reviews Data in PythonKaggle-Bike-Sharing-Demand-Challenge-
Predictive Analysis on Kaggle Bike Sharing Demand Challenge data in PythonCustomer-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 variableAllstate-Claims-Severity-Data
Predictive Analysis on Allstate claims Severity data in PythonText-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 LearningToxic-Comment-Classification
A NLP project about a brief application of tfidf vectorizer for text feature extraction and pipeline and feature union to chain multiple steps into oneMushroom-Classification
Data science project on mushroom classification dataText-classification-sarcastic-or-not
Text mining and Data Science applications on the twitter-dataDeep-Learning-modules-in-Keras
A project about the brief implementation of MLP, CNN, RNN, Unsupervised learning with Autoencoders, ETC, Text analytics using CNN in PythonDeployed-multiple-Transformers-models-using-Amazon-SageMaker-Multi-Model-Endpoints
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