Obtaining Accurate Predictions using Ensemble Learning Techniques
Ensemble Methods mostly are used in winning machine learning competitions by devising sophisticated algorithms and producing results with high accuracy
Pattern Recognition using K-NN Algorithm
The K-Nearest Neighbors (K-NN) method of classification is one of the simplest methods in machine learning, it is essentially.
How Can Companies Utilise Random Forest algorithm to make Smart Predictions
Random Forest is a supervised learning algorithm. As mentioned in the name, it creates a forest and makes it somehow random.
Segmentation using K-Mean Algorithm
K-Means is an introductory algorithm to clustering techniques and it is the simplest of them. K-Means is an easy to implement and handy algorithm.
Dimensionality Reduction using Principal Component Analysis
Principal component analysis (PCA) is a technique used for identification of a smaller number of uncorrelated variables known as principal components from a larger set of data.
Using Logistic Regression to predict Loan Defaults
A Logistic Regression classifies observations by estimating the probability that an observation is in a particular category.
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