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Leandro Baruch

Leandro Baruch

Sub Regional Project Manager - LATAM & Caribbean at Vision-Box, Previously Project Manager at Honda

Lisbon, Portugal •
5 posts •

Machine Learning (ML)

Convolutional Neural Network (CNN) questions

In this article, we have presented the most insightful and must attempt questions on Convolutional Neural Network (CNN) along with detailed answers so that you can understand CNN in depth.

Leandro Baruch Leandro Baruch
Machine Learning (ML)

Logistic Regression in Python with TensorFlow

We will walk you though the difference between Linear and Logistic Regression and then, take a deep look into implementing Logistic Regression in Python using TensorFlow. We used the Iris dataset and have trained and plotted the loss function and the training and test accuracy across epochs

Leandro Baruch Leandro Baruch
Machine Learning (ML)

Linear Regression in Python with TensorFlow

In this guide, we will implement Linear Regression in Python with TensorFlow. Linear Regression is a simple yet effective prediction that models any data to predict an output based on the assumption that it is modeled by a linear relationship.

Leandro Baruch Leandro Baruch
Machine Learning (ML)

Ridge Regression

Ridge regression is an efficient regression technique that is used when we have multicollinearity or when the number of predictor variables in a set exceed the number of observations. It uses L2 regularization and solves the problem of overfitting. Concepts of overfitting and regularization is basis

Jash Sheth
Machine Learning (ML)

Summary of Regression Techniques

Regression is a technique based on statistics to model the relationship between a set of variables to make predictions on unseen data. We explored are Linear, Logistic, Polynomial, Ridge, Lasso, Elastic Net, Stepwise regression.

Leandro Baruch Leandro Baruch
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