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Classification vs. Regression Algorithms in Machine Learning

ProjectPro

Machine Learning” is one of the most trending buzzwords. They are built using Machine Learning algorithms. These algorithms majorly fall into two categories - supervised algorithms and unsupervised algorithms. Yes, you are right. What is Classification? What is Regression?

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Machine Learning in Insurance: Applications, Use Cases, and Projects

ProjectPro

Ever wondered how insurance companies successfully implement machine learning to expand their businesses? With the introduction of advanced machine learning algorithms , underwriters are bringing in more data for better risk management and providing premium pricing targeted to the customer.

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Selecting the Best Image for Each Merchant Using Exploration and Machine Learning

DoorDash Engineering

Essentially, people eat with their eyes and images can tell them a lot about the food’s cuisine, type of restaurant, quality of food, nutritional information, price range, and more. To introduce exploration, we used a multi-arm bandit algorithm to implement the Image EnE model.

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Logistic Regression vs Linear Regression in Machine Learning

ProjectPro

Firstly, we introduce the two machine learning algorithms in detail and then move on to their practical applications to answer questions like when to use linear regression vs logistic regression. Such problems fall into the category of supervised machine learning problems.

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15 Top Machine Learning Projects for Final Year Students

ProjectPro

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. It is because these apps render machine learning models that try to understand the customer's taste. can help you model such machine learning projects.

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How to do Anomaly Detection using Machine Learning in Python?

ProjectPro

In data science, algorithms are usually designed to detect and follow trends found in the given data. The modeling follows from the data distribution learned by the statistical or neural model. One can train machine learning models to detect and report such anomalies retrospectively or in real-time.

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Top Data Science and Machine Learning Interview Questions 2022

U-Next

You will also learn top Machine Learning interview questions along the way! . The fundamental building blocks of Data Science are Statistics, Machine Learning, Computer Science, Data Analysis, Deep Learning, and Data Visualization. . Top Data Science & Machine Learning Interview Question .