Decision Tree in Machine Learning with Example
Decision Tree algorithm belongs to the Supervised Machine Learning. It can use to solve Regression and Classification problems. It creates a training model which predicts the value of target variables…
Solving Regression Problems Using Neural Network
This tutorial explains solving regression problems using a neural network approach instead of using Supervised Machine Learning Algorithm. You'll be able to solve simple regression problems at the end of…
Setup Kaggle Notebook for Ml Experiments
This hands-on guide will teach you to use the Kaggle Platform to start your own machine learning experiments. Kaggle.com is an online community of data scientists and machine learning practitioners…
Basics of K-Nearest Neighbor Algorithm
K-NN or K-Nearest Neighbor works on the simple principle- "Birds of the same feather flock together.” K-NN is a Supervised Machine Learning Algorithm. It solves both Regression and Classification problems.…
SVM: Difference between Linear and Non-Linear Models
What are Support Vector Machines? SVM is a Supervised Machine Learning Algorithm which solves both the Regression problems and Classification problems. SVM finds a hyperplane that segregates the labeled dataset(Supervised…
Understanding TensorFlow Architecture
This Guide gives you an overview of TensorFlow architecture which helps you in TensorFlow programming and think of what's going on under the hood. You must have a solid understanding…
Consume Azure Trained Model in Real-Time
A well-trained machine learning model can make a web or mobile app smart enough to predict future actions and deliver content as per user interest. It can show what a…
Linear Regression vs Logistic Regression – Key Difference
Both the Machine Learning Algorithms Linear Regression and Logistic Regression comes under the Supervised Machine Learning Technique. Since both the algorithms are of Supervised nature, therefore they use labeled dataset.…
Building Machine Learning Models in Microsoft Azure
This hands-on guide explains how to build a machine learning model using a drag-n-drop interface in Microsoft azure ml studio. Azure Ml is a very intuitive tool to run ml…
Supervised Machine Learning Algorithms You Should Know
Introduction Imagine yourself as a first standard student sitting in a classroom wherein your teacher is supervising you, for instance, “this is a dog and this is a cat”. Similarly,…
