Support Vector Machine(SVM) are Supervised Learning models which can be used for both classification or regression, but it’s mainly used… — Support Vector Machine(SVM) are Supervised Learning models which can be used for both classification or regression, but it’s mainly used for Classification problems. What it does? Firstly, each data item is plotted as a point in the space & the value of each point corresponds to a particular coordinate. …

Logistic Regression is a Supervised Learning algorithm, used for classification. It is used to predict probability of Target Variable. It… — Logistic Regression is a Supervised Learning algorithm, used for classification. It is used to predict probability of Target Variable. It produces results in binary format. The outcome is discrete/categorical such as: Yes/No. 0/1. True/False. High/Low. etc… What it does?

K-Nearest Neighbors is one of the simplest Supervised Machine Learning algorithm mostly used for Classification. In simpler words, it says… — K-Nearest Neighbors is one of the simplest Supervised Machine Learning algorithm mostly used for Classification. In simpler words, it says, If you belong to your neighbors then you’re one of them. What is it? Mainly used for Classification, KNN is a lazy-learner algorithm in Machine Learning. …

Decision Tree — Decision Tree Decision Tree is a Supervised Machine Learning algorithm used for predicting outcomes on certain rules/instructions & is done by partitioning data into various subsets. As it’s name suggest, Decision Tree is a tree-like model of decisions & their outcomes. What it does? Decision Tree typically starts from a single node and then diverges…

The first & foremost algorithm which an ML/AI enthusiast goes through is Linear Regression. Linear Regression is an algorithm which… — The first & foremost algorithm which an ML/AI enthusiast goes through is Linear Regression. Linear Regression is an algorithm which performs a regression task & is based on Supervised Learning. What is it? From Statistical point of view, linear regression is a linear approach to model the relationship between a scalar response and…

Data Preprocessing is considered one of the most important step in making a Making Learning model function properly. — Data Preprocessing is considered one of the most important step in making a Making Learning model function properly. We can easily get tons of Data in form of various Datasets, but to make that data fit for deriving various insights from it, requires a lot of observation, modification, manipulation and…

Open Source Computer Vision, popularly known as OpenCV is an open-source library in python programming language commonly used for computer… — Open Source Computer Vision, popularly known as OpenCV is an open-source library in python programming language commonly used for computer vision & machine learning problems. It is one of the most fascinating as well as useful library having numerous applications & features.

Matplotlib is an open source plotting library used for 2D graphics , available for the Python programming language as a component of NumPy… — Matplotlib is an open source plotting library used for 2D graphics , available for the Python programming language as a component of NumPy, a big data numerical handling resource. It uses an object oriented API to embed plots in Python applications. It is very helpful in drawing graphs from which…

Pandas is the one of the most popular open sourced python library ,which runs on top of Numpy and is widely used for data science & data… — Pandas is the one of the most popular open sourced python library ,which runs on top of Numpy and is widely used for data science & data analysis. It provides highly optimized performance with back-end source code is written in Python. …