All content related to supervised-learning

Boston House Price Prediction Using Support Vector Regressor

The surrounding environment highly influences house prices but machine learning techniques can help us accurately predict the house price by taking account of all important features.

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Bias-Variance Tradeoff In Machine Learning

Bias, Variance, and Bias-Variance tradeoff are the most popular terms in machine learning and the most frequent questions asked in machine-learning interviews.

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Pre-processing Of Text Data In Machine Learning Part 1

Text data pre-processing ensures optimal results when executed properly. Fortunately, Python has excellent support of NLP libraries such as NLTK, spaCy, and Gensim to ease our text analysis.

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Logistic Regression: A Detailed Overview

Logistic regression is a most used supervised learning algorithm for solving the classification problems in machine learning industry.

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Linear Regression: A complete understanding

Linear regression is a supervised learning algorithm and used to solve the regression problems in machine learning industries.

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Sentiment Analysis for Classifying Sentiment of Movie Reviews

Classification of movie reviews into positive and negative review categories using sentiment analysis and NLP is discussed in this article..

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Methods To Check The Performance Of Classification Models

whenever we say that we have built a machine learning model, the first question that comes to us is, What is the accuracy of your model?

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Methods To Check The Performance Of Regression Models

We try to compare the performance of Machine Learning models to check its accuracy or robustness. For a regression model we measure error between predicted and actual target variables.

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Wine Quality Prediction Using k-NN Regressor

Prediction of wine quality is a challenging task for humans but using machine learning and data science techniques, it can be made easy.

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Car Resale Value Prediction Using Random Forest Regressor

Companies like Cars24 and Cardekho.com uses Regression analysis to estimate the used car prices based on specific attributes.

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Life Expectancy Prediction Using Linear Regression

With ongoing advancements in Machine Learning and Data Science, we can precisely predict the remaining life span of a person given the essential parameters.

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How Uber Use Machine Learning To Facilitate Surge Price?

Uber is one such tech giant that continuously explores Machine Learning and Data Science methods and dedicated experiments to better customer experience.

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Credit Card Fraud Detection Using Machine Learning

One of the smartest use-cases of data science and machine learning is building the machine learning application for financial security.

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Optical Character Recognition using Logistic Regression (Linear Models)

Character recognition is a primary step in recognizing whether any text or character is present and whether our algorithms can recognize it or not in the given image.

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Soil Fertility Prediction Using Gradient Boosting Technique

The use of recent technologies like Machine Learning and Data Science in agriculture will increase the quantity and quality and simultaneously ease the process of farming by a huge.

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Machine Learning In Medical Science: Cancer Classification Model Using SVM

Many major companies like Google, IBM, etc., are exploring machine learning potential in this domain. Cancer classification is one such area where ML can deliver a robust predictive model to identify the cancer possibility based on given observations.

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How to build Recommender System using Machine Learning?

Recommender System refers to a kind of system that could predict the future preference for a user based on his/her previous behavior or by focusing on the behavior of similar kind of users.

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Classification and Regression Problems in Machine Learning

Both classification and regression deal with the problem of mapping a function from input to output. However, when it comes to classification, the output is a discrete (non-continuous) class label or categorical output. While on the other hand, when the problem is a regression problem, the output is continuous.

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Supervised, Unsupervised, And Semi-Supervised Learning With Real-Life Usecase

Based on the nature of input that we provide to a machine learning algorithm, machine learning can be classified into 4 major categories - Supervised Learning, Unsupervised Learning, Semi-Supervised Learning, Reinforcement Learning.

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