Support Vector Machines (SVM) is a supervised machine learning algorithm that can be used for classification or regression tasks. The goal of the SVM algorithm is to find the hyperplane in an N-dimensional space that maximally separates the two classes. Mathematical Intuition Support Vector Machines (SVMs) are a type of supervised machine learning algorithm that […]
There are 3 fundamental steps to creating a model Create a Model -> Connect the layers of NN yourself by using Sequential or Functional API or import a previously built model(Transfer Learning) Compile a Model -> Define how a model’s performance should be measured(metrics) and how to improve it by using an optimizer(Adam, SGD, etc.) […]
In this Notebook, we will describe how to deal with outliers Trimming outliers from the dataset Performing winsorization Winsorizing is different from trimming because the extreme values are not removed, but are instead replaced byother values. Data greater than quantile 90 percent is replaced by value at 90 quantiles similarly less thenquantile 5 percent is […]
When training a machine learning model, we normally prefer selecting a generalized model which is performing well both on training and validation/test data. However, there can be a situation where the model performs well during testing but fails to achieve the same level of performance with real-world (production data) usage. For example, your model is […]
SQL Commands:SQL Commands are instructions. It is used to communicate with the database. It is also used to perform specific tasks, functions, and queries of data. SQL can perform various tasks like creating a table. add data to tables, drop the table modify the table. set permission for users.Types of SQL Commands: There are five […]
𝟏. 𝐖𝐫𝐢𝐭𝐢𝐧𝐠 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐂𝐨𝐝𝐞 𝐰𝐢𝐭𝐡 𝐩𝐚𝐧𝐝𝐚𝐬: This course will build on your knowledge of Python and the panda’s library and introduce you to efficient built-in pandas functions to perform tasks faster. Link:- Get the course here 𝟐. 𝐉𝐨𝐢𝐧𝐢𝐧𝐠 𝐃𝐚𝐭𝐚 𝐰𝐢𝐭𝐡 𝐩𝐚𝐧𝐝𝐚𝐬: In this course, you will learn to handle multiple DataFrames by combining, organizing, joining, […]
Given an m-by-n matrix with positive integers, determine the length of the longest path of increasing within the matrix. For example, consider the input matrix:[1 2 34 5 67 8 9] The answer should be 5 since the longest path would be 1-2-5-6-9
The center limit theorem states that if any random variable, regardless of the distribution, is sampled a large enough time, the sample mean will be approximately normally distributed. This allows for studying the properties of any statistical distribution as long as there is a large enough sample size. Important remark from Adrian Olszewski:⚠️ we can rely on […]
The motivation behind random forest or ensemble models in general in layman’s terms, Let’s say we have a question/problem to solve we bring 100 people and ask each of them the question/problem and record their solution. Next, we prepare a solution which is a combination/ a mixture of all the solutions provided by these 100 […]
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