ML+ Blog
by Selva Prabhakaran
2y ago
The post R Squared Interpretation appeared first on Machine Learning Plus ..read more
ML+ Blog
by Selva Prabhakaran
2y ago
The post Regression Coefficient Formula appeared first on Machine Learning Plus ..read more
ML+ Blog
by Selva Prabhakaran
2y ago
In this lesson, I introduce what Linear regression is all about. Linear Regression is a foundational algorithm for machine learning and statistical modeling. Traditionally, Linear Regression is the very first algorithm you’d learn when getting started with predictive modeling. While there are a lot more ML and Deep learning algorithm in use today, linear regression has its place in several commercial Data science applications in industrial DS projects. Besides, it is one of the favorite topics asked in Data Science / ML interviews, as it often shows the depth of understanding of ..read more
ML+ Blog
by Selva Prabhakaran
2y ago
Understanding linear regression. Let’s understand what linear regression is all about from a non-technical perspective, before we get into the details, we will first understand from a layman’s terms what linear regression is. Now, linear regression is a machine learning algorithm ml algorithm that uses data to predict a quantity of interest, typically, we call the quantity of interest as to why we want to predict some item and we call that as well. So, it is basically an algorithm that uses data, it actually learns from the data to predict a quantity of interest, what if these quantities be s ..read more
ML+ Blog
by Selva Prabhakaran
2y ago
WE will talk about time series analysis. WE will talk about time series analysis. WE will talk about time series analysis. WE will talk about time series analysis. WE will talk about time series analysis. WE will talk about time series analysis. The post Time Series Test appeared first on Machine Learning Plus ..read more
ML+ Blog
by Selva Prabhakaran
2y ago
In this video we will learn all about Memory Optimization Details of memory optimization. Details of memory optimization Details of memory optimizaDetails of memory optimization Details of memory optimization Details of memory optimization Details of memory optimization Details of memory optimizationDetails of memory optimization The post Test Video Blog 2 appeared first on Machine Learning Plus ..read more
ML+ Blog
by Selva Prabhakaran
2y ago
Summary of video blog Caption: Optimizing Data frames Clean subtitles of ‘Optimizing Dataframes’. Clean subtitles of ‘Optimizing Dataframes’.Clean subtitles of ‘Optimizing Dataframes’.Clean subtitles of ‘Optimizing Dataframes’.Clean subtitles of ‘Optimizing Dataframes’.Clean subtitles of ‘Optimizing Dataframes’.Clean subtitles of ‘Optimizing Dataframes’Clean subtitles of ‘Optimizing Dataframes’Clean subtitles of ‘Optimizing Dataframes’.Clean subtitles of ‘Optimizing Dataframes’ The post Test Video Blog appeared first on Machine Learning Plus ..read more
ML+ Blog
by priyanka
2y ago
In machine learning problems, feature selection helps in reducing overfitting, removes noisy variables, reduces memory footprint. In this article we present a new technique, namely FRUFS. The algorithm is based on the idea that the most important feature is the one that can largely represent all other features. Similarly, the second most important feature can approximate all other remaining features but not as well as the most important one and so on. FRUFS is model agnostic and is unsupervised, which means that Y does not have a role to play in identifying the features importance. Hence in th ..read more
ML+ Blog
by Selva Prabhakaran
2y ago
In this guide, you will understand the steps to deploy your ML model app in Amazon EC2 service. Here the ML app is a flask based. However, the same steps and ideas can be followed to host apps built with other similar applications. Note that we will not be covering how to build an ML model. Instead you will use the ready made code that trains the ML model and store it as a pickle file directly. This guide is meant to serve as a walk through with full explanation of how to host an already running ML model app in AWS EC2 instance from scratch. Below is the brief of the steps you will need to do ..read more
ML+ Blog
by Emile Courthoud
2y ago
Nebullvm is an open-source library that takes a deep learning model as input and outputs an optimized version that runs 5-20 times faster on your machine. Nebullvm tests multiple deep learning compilers to identify the best possible way to execute your model on your specific hardware, without impacting the accuracy of your model (GitHub link). The goal of nebullvm is to let any developer benefit from deep learning compilers without having to spend countless hours understanding, installing, testing and debugging this powerful technology. Testing nebullvm on your models Below you can find 3 not ..read more

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