ID3 decision tree implementation
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Updated
Apr 19, 2017 - Python
ID3 decision tree implementation
Assignments in unconstrained optimization course covering 1st half of Nocedal and Wright textbook.
A series of documented Jupyter notebooks implementing polynomial regression models and model performance analysis
Machine Learning to predict share prices in the Oil & Gas Industry
Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions
competitions launched on website AnalyticsVidhya.com
Describes L1 vs L2 regularization by example and analysis
Anonymized credit card transactions labeled as fraudulent or genuine
Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
playing with Dwork's adaptive holdout and how to use it for a grid-search
User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction
Brief study on Underfitting and Overfitting in Machine Learning
Model search in traditional machine learning algorithms (non DL) and DL starter codes on MNIST dataset. This is a good starter code for beginners trying to learn about curse of dimensionality, overfitting and other concepts in general
Udacity Self Driving Car Nanodegree - Behavioral Cloning
A visual example of the concepts of under and overfitting in supervised machine learning using U.S. state border data.
Analyse OverFitting of data
I had created this in the year 2012, when I was doing my 10th standard schooling. This program uses difference equation concept to predict the next value in a polynomial series.
Google course material on development of the state-of-the-art image classification model powering search in Google Photos
It is from Kaggle Competitions where the training dataset is very small and the testing dataset is very large and we have to avoid or reduce overfiting by looking for best possible ways to overcome the most popular problem faced in field of predictive analytics.
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