Increasing the Performance of ML Algorithms using Boosting Techniques
Boosting is a sequential process, where each subsequent model attempts to correct the errors of the previous model. The succeeding models are dependent on the previous model.
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.
