In this article, I will go through dockerizing a flask deep learning app. The project is divided into 2 parts. The first part consists of creating the TensorFlow app using Flask. You can find the first part here. In the second part (this article), we will containerize this app using Docker. Tensorflow app using docker …
In this project, we will see step by step how to create an NLP project of sentiment analysis using TensorFlow and Streamlit. You will find the code source on the GitHub repository: Code source: https://github.com/tech-data/Emotion-Detection-from-Text-using-Neural-Netwroks lamya A.Hey there! I am the creator of AI Decoder. I am a data scientist by training and a Ph.D. …
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Starting to learn machine learning online can be overwhelming because there are many good online courses out there. I understood the situation, I was there too. In this article, I will tell you more about the course that I recommend the most for any beginner in machine learning. Machine learning specialization by Andrew NG is …
Best Machine Learning Course for Beginners in 2022 Read More »
In this video, I will show you how to use Selenium to scrap titles, thumbnails, and views count of a YouTube video. This is the code source of this project on GitHub: https://github.com/tech-data/Youtube-scraper If you have a question, leave it in the comment section below. lamya A.Hey there! I am the creator of AI Decoder. …
Scrap YouTube titles, views, and thumbnails using Selenium and Python. Read More »
Customer churn is a critical indicator to measure and understand a company’s clients. Keeping 100% of customers happy is unfortunately unrealistic. That’s why companies try so hard to increase their customer retention rate. In this tutorial, we are going to build a customer churn project based on the Telco dataset using machine learning and python. Table of content: Customer churn definition Dataset …
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In this tutorial, we will explain and implement a customer segmentation project using K-prototypes. In this article, you will discover what customer segmentation is, why companies use it, and how to create a customer segmentation project using K-prototypes algorithm. After completing this tutorial, you will know: Customer segmentation Definition Why segment customers? Customer segmentation types …
Customer Segmentation Project using K-prototypes with Code Source Read More »
In deep learning, activation functions are essential to controlling how well the model will learn from the training dataset and determining the type of predictions the model will make. Activation functions help the neural network model select useful information from noise. Therefore, the choice of an activation function should be made carefully. In this article, …
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The goal of fake news detection is to uncover items that intentionally misinform or deceive readers. Fake news is frequently generated to alter public opinion or for political purposes. After going through this tutorial, you will be able to understand and implement a fake news detection model on Twitter. Let’s get started. What is Fake News? Fake news is defined as “news pieces that are purposely and verifiably untrue”. Who generates fake news and why? Those that run fake news websites want as many people to visit their sites as possible. While some may want their visitors to view the information and be influenced by it, others merely want internet users to click on it, which typically leads to a website where users see more content and advertisements, generating more money for the website owner. The Pipeline of the Project: Fake News Detection using Python I will walk you through step-by-step how we can …
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In this article, we will explain what is regression in machine learning. What is Regression? Regression is one type of supervised learning. This technique is used to predict continuous outcomes, unlike classification, where we predict categorical values. In other words, in regression, we investigate the relationship between independent variables (the features) and the dependent variable …
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To run and execute Deep learning models, we can use different libraries such as TensorFlow, Torch, Theano, and Keras in python and other languages In this article, we will focus on Tensoflow 2.0 library and its implementation in python. What is TensorFlow? TensorFlow is an open-source library developed by the Google Brain Team for large …
Tensorflow 2.0 in Deep Learning: All the Basics you Need to Know Read More »
