AI/ML, Data Science

AI/ML, Data Science

Importing Time Series data

By Dr. Shripad Bhat, Data Scientist September 4, 2019 Importing data into Python In this post, we will learn:  How to import data into python How to import time series data How to handle different time series formats while importing A) Importing Normal Data Suppose you have a data file saved in csv format on …

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Principal Component Analysis

By Dr. Shripad Bhat, Data Scientist September 4, 2019 Principal Component Analysis (PCA) explained with examples In this post, let us understand   What is Principal Component Analysis (PCA) When to use it and what are the advantages How to perform PCA in Python with an example What is Principal Component Analysis (PCA)? Principal Component …

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Random Forest

By Dr. Shripad Bhat, Data Scientist September 4, 2019 In this post, let us explore: Random Forest When to use Advantages Disadvantages Hyperparameters Examples Random Forest When to use Random forest can be used for both classification and regression tasks. If the single decision tree is over-fitting the data, then random forest will help in …

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Ensemble Models

By Dr. Shripad Bhat, Data Scientist September 4, 2019 In this post, let us explore: Ensemble Models Bagging Boosting Stacking Ensemble Models/Methods/Learning Ensembling is clubbing predictions from different models to get better performance. How to club different predictions from different models to get a single prediction? There are different ways of doing it. Bagging Boosting …

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Logistic Regression

By Dr. Shripad Bhat, Data Scientist September 4, 2019 Logistic regression is a supervised learning technique applied to classification problems. In this post, let us explore: Logistic Regression model Advantages Disadvantages Example Hyperparemeters and Tuning Logistic Regression model Logistic functions capture the exponential growth when resources are limited (read more here and here).Sigmoid function is a special case …

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Support Vector Machines

By Dr. Shripad Bhat, Data Scientist September 4, 2019 Support Vector Machines (SVM) Suppose there are two independent variables (features): x1 and x2. And there are two classes Class A and Class B. The following graphic shows the scatter diagram.  If want to partition these two classes using a line (or hyperplane), the green hyperplane …

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Naive Bayes

By Dr. Shripad Bhat, Data Scientist September 4, 2019 Understanding Naive Bayes using simple examples Thomas Bayes was an English statistician. As Stigler states, Thomas Bayes was born in 1701, with a probability value of 0.8! (link). Bayes’ theorem has a useful application in machine learning. His papers were published by his friend, after his …

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Decision Trees

By Dr. Shripad Bhat, Data Scientist September 4, 2019 Decision Tree models are simple and easy to interpret. In this post, let us explore What are decision trees When to use decision trees Advantages Disadvantages Examples with code (Python)   1. What are decision trees? Decision trees are a tree like non-parametric supervised learning method.Components of decision …

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