model-evaluation

General Assembly's 2015 Data Science course in Washington, DC

Local Interpretable Model-Agnostic Explanations (R port of original Python package)

Machine Learning notebooks for refreshing concepts.

CloudCV GSoC 2021 Ideas

🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.

Measure and visualize machine learning model performance without the usual boilerplate.

Flexible tool for bias detection, visualization, and mitigation

UBC ARBERT and MARBERT Deep Bidirectional Transformers for Arabic

An Interactive Approach to Understanding Deep Learning with Keras

A High-level Scorecard Modeling API | 评分卡建模尽在于此

Rapid Calculation of Model Metrics

Use AutoAI to detect fraud

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price

🎓 2020 Undergraduate Graduation Project in Jiangnan University ALL codes including Data-convert, keras-Train, model-Evaluate and Web-App

Titus 2 : Portable Format for Analytics (PFA) implementation for Python 3.4+

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

Solve complex real-life problems with the simplicity of Keras

Classifying badminton strokes based on accelorometer and gyroscope sensor data attached to player's wrist. An end-to-end Machine Learning project, from data collection and preprocessing to final model evaluation.

Analyzing the Features which leads to heart diseases and visualizing the models' performance and important features using eli5, shap and pdp.

The binary classification problem focused on first IEEE Image forensics challenge-phase 1, to predict the given image is pristine or manipulated/edited/fake. Comparing CNN & Transfer Learning models for the problem and boosting the performance by feature extraction

Python tools for the AeroCom project

Solved problem of famous book in machine learning, deep learning for learners

This course consists of data wrangling, visualization, and decision and model evaluating.

This Package is developed to evaluate the classification | Regression models based on different metrics.

Kaggle Machine Learning Competition Project : In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset of Zalando's article images

Easliy get TPR, FPR and KS statistic.

Luna ML - ML Leaderboard for your team with automatic model evaluation

Personal articles and tutorials for various AI/DL/ML/DS research topics

The goal of this project is to build an RL-based algorithm that can help cab drivers maximize their profits by improving their decision-making process on the field. Taking long-term profit as the goal, a method is proposed based on reinforcement learning to optimize taxi driving strategies for profit maximization. This optimization problem is formulated as a Markov Decision Process i.e. MDP.