In this article, you will learn about some basics of CNN which are a type of feed-forward artificial neural network.
Convolutional neural network is among the class of deep neural networks, which is deployed in the field of image analysis/recognition
We will perform a very basic level Exploratory Data Analysis (EDA) on the dataset and then make a recommendation system using TBBT data
We are going to talk about text generation using LSTM with end-to-end examples and the related concepts as a quick revision.
Bivariate Analysis is a statistical technique applied to a pair of variables of data to determine the empirical relationship between them.
In the first part of the series, we saw some most common techniques which we daily use while cleaning the data i.e. text cleaning in NLP.
This article will see the generic workflow of MLOps from the start to the end. We will deep dive into them step-by-step.
Customer segmentation to reduce churn, churn prediction, and recommendation to arrest churn are the three board areas that modern B2C firms.
Understand how exploratory data analysis is done in Python, various steps involved and performance of EDA on a given dataset.
In this article, we will only be dealing with Numpy arrays, implementing logistic regression from scratch and use Python.
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