Skip to content
View f3bolarinwa's full-sized avatar

Block or report f3bolarinwa

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. Computer-Vision Computer-Vision Public

    Deep Learning, Convolutional Neural Networks, Tensorflow, Keras, Digit Recognition

    HTML

  2. Recommendation-Systems Recommendation-Systems Public

    Popularity-based, Collaborative Filtering, Similarity-based, Clustering-based, Matrix-Factorization, Singular Value Decomposition, Latent Features, Surprise, Hyper-parameter tuning

    HTML

  3. Classification Classification Public

    Machine Learning, Supervised Learning, Ensemble Methods, XGBoost, KNN, LDA, QDA, Bagging, Logistic Regression, Feature Importance, Hyper-parameter tuning, GridSearchCV

    HTML 1 1

  4. Regression Regression Public

    Machine Learning, Supervised Learning, Statistical Modelling, Homoscedasticity, p-value, Level of significance, KFold Cross-Validation

    HTML

  5. Clustering Clustering Public

    Unsupervised Learning, KMeans, GMM, Hierarchical, KMedoids, DBSCAN, Segmentation, Profiling

    HTML

  6. AWS-Sagemaker---deep_learning_model_tuning_and_deployment AWS-Sagemaker---deep_learning_model_tuning_and_deployment Public

    In 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…

    Jupyter Notebook