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Fake News Detection with Machine Learning
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Fake News Detection with Machine Learning In this paper I experiment the possibility to detect fake news based only on textual infor- mation by applying ...

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Build Multilayer Perceptron Models with Keras
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Build Multilayer Perceptron Models with Keras. In this 45-minute long project-based course, you will build and train a multilayer perceptronl ...

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Analyze Stock Data using R and Quantmod Package
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Analyze Stock Data using R and Quantmod Package Offered by Coursera Project Network. In this 1-hour long project-based course, you will learn how to pull ...

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Mining Quality Prediction Using Machine & Deep Learning
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Mining Quality Prediction Using Machine & Deep Learning Mining Quality Prediction Using Machine & Deep Learning. In this 1.5-hour long project-based ...

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Text Retrieval and Search Engines
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Text Retrieval and Search Engines This course will cover search engine technologies, which play an important role in any data mining applications ...

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Data Mining Project
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Data Mining Project Latest Data Mining Projects Topics & Ideas. Data mining projects for engineers researchers and enthusiasts. Get the widest list ...

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Plots (Graphics) in R
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Plots (Graphics) in R Graphics are visual images or designs on some surface, such as a wall, canvas, screen, paper, or stone to inform, illustrate, or ...

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Predict Future Product Prices Using Facebook Prophet
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Predict Future Product Prices Using Facebook Prophet In this 1-hour long project-based course, you will be able to: - Understand the theory and intuition ...

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Transfer Learning for Food Classification
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Transfer Learning for Food Classification Transfer Learning for Food Classification. In this hands-on project, we will train a deep learning model to predict ...

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Explainable AI: Scene Classification and GradCam Visualization
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Explainable AI: Scene Classification and GradCam Visualization Understand the theory and intuition behind GradCam and Explainable AI. Visualize the Activation ...

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Basic Sentiment Analysis with TensorFlow
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Basic Sentiment Analysis with TensorFlow Welcome to this project-based course on Basic Sentiment Analysis with TensorFlow. In this project, you will learn the ...

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Simple Recurrent Neural Network with Keras
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Simple Recurrent Neural Network with Keras Offered by Coursera Project Network. In this hands-on project, you will use Keras with TensorFlow as its backend to ...

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Avoid Overfitting Using Regularization in TensorFlow
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Avoid Overfitting Using Regularization in TensorFlow In this 2-hour long project-based course, you will learn the basics of using weight regularization and ...

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Classification with Transfer Learning in Keras
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Classification with Transfer Learning in Keras. In this 1.5 hour long project-based course, you will learn to create and train a Convolutional ...

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Siamese Network with Triplet Loss in Keras
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Siamese Network with Triplet Loss in Keras Offered by Coursera Project Network. In this 2-hour long project-based course, you will learn how to implement ...

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Deploy Models with TensorFlow Serving and Flask
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Deploy Models with TensorFlow Serving and Flask TensorFlow Serving makes the process of taking a model into production easier and faster. It allows you to ...

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Building Deep Learning Models with TensorFlow
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Building Deep Learning Models with TensorFlow In this course you'll use TensorFlow library to apply deep learning to different data types in order to solve ...

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Introduction to Deep Learning & Neural Networks with Keras
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Introduction to Deep Learning & Neural Networks with Keras After completing this course, learners will be able to: • describe what a neural network is, ...

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Analyze City Data Using R and Tableau
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Analyze City Data Using R and Tableau. By the end of this project, you will create, clean, explore and analyze San Francisco's building ...

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Anomaly Detection in Time Series Data with Keras
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Anomaly Detection in Time Series Data with Keras Specifically, we will be designing and training an LSTM autoencoder using the Keras API with Tensorflow 2 as ...

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Machine Learning with H2O Flow
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Machine Learning with H2O Flow H2O is a leading open-source machine learning and artificial intelligence platform trusted by data scientists and machine ...

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Analyze Box Office Data with Seaborn and Python
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Analyze Box Office Data with Seaborn and Python Welcome to this project-based course on Analyzing Box Office Data with Seaborn and Python. In this course, you ...

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Automatic Machine Learning with H2O AutoML and Python
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Automatic Machine Learning with H2O AutoML and Python In both the R and Python API, AutoML uses the same data-related arguments, x , y , training_frame , ...

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Machine Learning: Predict Poisonous Mushrooms using a Random Forest Model and the FFTrees Package in R
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Learner Reviews & Feedback for Machine Learning: Predict Poisonous Mushrooms using a Random Forest Model and the FFTrees ...

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Machine Learning Pipelines with Azure ML Studio
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Machine Learning Pipelines with Azure ML Studio What can Azure ML pipelines do? An Azure Machine Learning pipeline is an independently ...

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Medical Diagnosis using Support Vector Machines
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Medical Diagnosis using Support Vector Machines In general, the classification accuracy obtained by this study is close to those obtained by reference studies ...

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Generate Synthetic Images with DCGANs in Keras
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Generate Synthetic Images with DCGANs in Keras In a video that plays in a split-screen with your work area, your instructor will walk you through these steps: ...

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Multiple Linear Regression with scikit-learn
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Multiple Linear Regression with scikit-learn In this article, we studied the most fundamental machine learning algorithms i.e. linear regression. We ...

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Build a Data Science Web App with Streamlit and Python
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Build a Data Science Web App with Streamlit and Python Welcome to this hands-on project on building your first data science web app with the Streamlit library ...

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Machine Learning and Reinforcement Learning in Finance Specialization
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About the Machine Learning and Reinforcement Learning in Finance Specialization The main goal of this specialization is to provide the knowledge and practical ...

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