Artificial Neural Network

  Machine Learning Project development Step 2: Choice of algorithm based on Supervised Learning Algorithm: First step2 : Machine learning project development: Choose an algorithm if the project is coming under supervised learning There are many supervised algorithms. A supervised learning algorithm is divided into regression and classification. If the output is discrete or binary choose the classification algorithm and if it is continuous choose regression. So step 2 is -- Identify whether the problem is coming under regression or classification?. Choose the algorithm accordingly. Different algorithms are used for regression and classification problems. A few of them are listed below. Algorithm for regression analysis 1.        Linear Regression 2.        Decision tree regression 3.        Random Forest 4.        Gradient boosted trees 5. ...

  Machine Learning Project development step1: Supervised or Unsupervised learning First step 1 : Machine learning project development: Identify whether the project is coming under supervised learning or unsupervised learning. Machine learning Machine learning is a part of artificial intelligence (AI). It provides Model   which learns from data (experience ) and predict, classify or group the data at the output. Applications of machine learning are as shown in figure1.                                                   Figure1:Applications of machine Learning Machine learning algorithms are often categorized as supervised or unsupervised and reinforcement. Therefore first step of machine learning   project is, identify whether the project   is coming under supervised learning or unsupervised learning. If you...