Library for computing classifier Learning Curves & iPython notebooks to improve your learning curve for using Learning Curves for ML research and practice!
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May 28, 2021 - Jupyter Notebook
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evaluation-metrics
Here are 6 public repositories matching this topic...
Contained in this repository are the Jupyter notebooks that contain the scripts used in this project. Examples include: exploratory data analysis, creation of training, validation and test data sets, and CNN model development and data extraction.
data
binary
fog
cnn
computer
vision
meteorology
classification
transfer-learning
evaluation-metrics
augmentation
imbalanced-data
imbalance-classification
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Jul 7, 2021 - Jupyter Notebook
This notebook describes how to compute and derive insights from various classification evaluation metrics.
machine-learning
recall
confusion-matrix
precision
evaluation-metrics
classification-algorithm
receiver-operating-characteristic
precision-recall-curve
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Apr 5, 2022 - Jupyter Notebook
Semantic Segmentation of CMR with a U-Net based architecture. Implemented in TF2.X. Trainings, prediction and evaluation scripts/notebooks for heatmap based right ventricle insertion point detection on cine CMR images. Koehler et al. 2022, BVM
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Sep 26, 2022 - Jupyter Notebook
This repository contains a Jupyter Notebook exploring the adult income dataset. The notebook performs Exploratory Data Analysis (EDA), including visualizations with charts and graphs. Additionally, it implements various classification models to predict income and analyzes their accuracy.
machine-learning
exploratory-data-analysis
evaluation
eda
classification
accuracy
logistic-regression
evaluation-metrics
decision-tree-classifier
random-forest-classifier
dataanalytics
datavisualization-project
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Jun 12, 2024 - Jupyter Notebook
If you want to learn these topics, i refer you to go through this notebook.
text-classification
question-answering
text-summarization
ner
evaluation-metrics
text-translation
emotion-detection
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Updated
Jul 5, 2024 - Jupyter Notebook
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