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 kNN Algorithm
The K-Nearest Neighbors (K-NN) method of classification is one of the simplest methods in machine learning, it is essentially.
How Neural Networks can be used in Image and Speech Recognition
Artificial Neural Networks are the computational models inspired by the human brain.
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.
Text Classification using Support Vector Machines
Support vector machines are a type of supervised machine algorithm for learning which is used for classification and regression tasks.
Image Classification using k-means clustering 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.
How Data Visualization helps in Unifying Business Vision
Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide..
