This code build up a predicting model use the Machine learning algorithms such as Decision Tree, k-Nearest Neighbors etc. on the Vehicle to predict the departure action
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Updated
Sep 10, 2017 - Python
This code build up a predicting model use the Machine learning algorithms such as Decision Tree, k-Nearest Neighbors etc. on the Vehicle to predict the departure action
Training binary classifier and multi-class classifier to classify the MNIST datase
A Comprehensive Guide to Titanic Machine Learning from Disaster
Matlab code for computing and visualization: Precision-Recall curve, AUPR, Accuracy etc. for Classification.
Anamoly Detection for Detecting Defected Manufactured Semi-Conductors, as in this case of Classification, the Defected Chips would be very less in comparison to perfect Chips so we have apply either Over-Sampling or Under-Sampling.
This is an highly imbalanced data with only 1.72% minority and 98.28% majority class, i will be explaining Up and down sampling and effect of sampling before and while doing cross validation. Model has been evaluated using precision recall curve.
A wide variety of supervised and unsupervised machine learning methods using the scikit-learn library
An implementation of a density based outlier detection method - the Local Outlier Factor Technique, to find frauds in credit card transactions. For detecting both local and global outliers.
Predict fraudulent credit card transactions using TensorFlow, Keras, K Neighbors, Decision Tree, SVM Regression and Logistic Regression classifiers .
This repository is for me to experiment with various Classification Models using Python.
Sampling unbalanced dataset using SMOTE and creating a classifier to classify if a HR will stay or leave.
Script to compute Precision, Recall, AvP and MAP and to plot PR curves in the context of Information Retrieval evaluation.
This notebook describes how to compute and derive insights from various classification evaluation metrics.
ML/CNN Evaluation Metrics Package
Search engine that queries for information to find the best results based on custom analysers and indexing techniques.
A Portuguese hotel group seeks to understand reasons for its excessive cancellation rates.
Предиктивный анализ оттока клиентов
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