Predicting air pollution level in a specific city
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Updated
May 19, 2016 - Python
Predicting air pollution level in a specific city
In this project we'll try to implement and learn about decision trees the in artificial intelligence subject KRU (Knowledge, reasoning and uncertainty or in Catalan, a region from Spain we are living: Coneixement, raonament i incertesa).
Get performance metrics and graphs of a scorecard
Detecting credit card fraud detection. Selecting an optimum threshold with analysis of confusion matrix and ROC curce
Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn
traffic sign recognition using CNN
This is the winning solution to the Problem Statement given in Safety Data Analytics, Great Step 2017
A visual analytics environment for supervised text classification and model evaluation.
A very basic implementation of Logistic Regression classifier in python.
Things I developed for deep learning.
Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means technique
Using Machine Learning to predict which news article belongs to which news group.
Online meter ploter for pytorch. Real time ploting Accuracy, Loss, mAP, AUC, Confusion Matrix
Prediction of number from 0 to 9
Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
Seamlessly integrate matplotlib figures as tensorflow summaries.
Applying Machine Learning techniques to identify randomly distorted capital letters in the English alphabet.
Keras VGG implementation for CIFAR-10 classification Tutorial
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