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Computer-Vision
Computer-Vision PublicDeep Learning, Convolutional Neural Networks, Tensorflow, Keras, Digit Recognition
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Recommendation-Systems
Recommendation-Systems PublicPopularity-based, Collaborative Filtering, Similarity-based, Clustering-based, Matrix-Factorization, Singular Value Decomposition, Latent Features, Surprise, Hyper-parameter tuning
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Classification
Classification PublicMachine Learning, Supervised Learning, Ensemble Methods, XGBoost, KNN, LDA, QDA, Bagging, Logistic Regression, Feature Importance, Hyper-parameter tuning, GridSearchCV
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Regression
Regression PublicMachine Learning, Supervised Learning, Statistical Modelling, Homoscedasticity, p-value, Level of significance, KFold Cross-Validation
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Clustering
Clustering PublicUnsupervised Learning, KMeans, GMM, Hierarchical, KMedoids, DBSCAN, Segmentation, Profiling
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AWS-Sagemaker---deep_learning_model_tuning_and_deployment
AWS-Sagemaker---deep_learning_model_tuning_and_deployment PublicIn this project, i set up a Sagemaker infrastructure to fine-tune pre-trained ResNet50 model for image classification. Employed Sagemaker profiling, debugger and hyper-parameter tuning for ML engin…
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