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Deep Learning - Artificial Neural Networks with Tensorflow - ANN for Image Classification
In this video, we will work on image classification with the MNIST dataset. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this...
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Deep Learning - Artificial Neural Networks with Tensorflow - How Does a Model "Learn"?
In this video, we will understand how a model "learns". This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we will cover a crash course...
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Deep Learning - Computer Vision for Beginners Using PyTorch - Histplot
In this video, you will learn how to create a Histplot. This clip is from the chapter "Optional Learning - Python for Data Science - with Matplotlib" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this...
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Deep Learning - Computer Vision for Beginners Using PyTorch - Plot Formatting and Scatter Plot
In this video, we will cover plot formatting and scatter plot. This clip is from the chapter "Optional Learning - Python for Data Science - with Matplotlib" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In...
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Deep Learning - Computer Vision for Beginners Using PyTorch - Format the Plot
In this video, you will learn how to format our Matplotlib plot. This clip is from the chapter "Optional Learning - Python for Data Science - with Matplotlib" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In...
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Deep Learning - Computer Vision for Beginners Using PyTorch - Matplotlib Introduction
In this video, we will get introduced to Matplotlib. This clip is from the chapter "Optional Learning - Python for Data Science - with Matplotlib" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet Section Summary
In this video, we will summarize what we have learnt in this section. This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this section, we will...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - (The Dangers of) Prophet for Stock Price Prediction
In this video, we will work with Prophet for stock price prediction. This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this section, we will explore...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet: Multiplicative Seasonality, Outliers, Non-Daily Data
In this video, we will work on multiplicative seasonality, outliers, and non-daily data with Prophet. This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet in Code: Changepoint Detection
In this video, you will learn how to detect changepoint with Prophet. This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this section, we will...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet in Code: Cross-Validation
In this video, you will learn how to do cross-validation with Prophet. This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this section, we will...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet in Code: Holidays and Exogenous Regressors
In this video, you will learn how to add holidays and exogenous regressors to our data. This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet in Code: Fit, Forecast, Plot
In this video, you will learn how to fit, forecast, and plot our data. This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this section, we will...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet in Code: Data Preparation
In this video, we will work on data preparation with Prophet. This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this section, we will explore...
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Deep Learning - Convolutional Neural Networks with TensorFlow - CNN for Fashion MNIST
In this video, we will start with implementing CNN with the fashion MNIST dataset. This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this...
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Recommender Systems with Machine Learning - Rating Plot
This video helps you with the plot rating from the dataset. This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems with Machine Learning".null
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Recommender Systems with Machine Learning - Occurrence Count
This video demonstrates the occurrence count of the specific condition. This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine Learning".This...
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Recommender Systems with Machine Learning - Item-Based Filtering Data Preparation
This video explains and demonstrates item-based filtering data preparation. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use...
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Recommender Systems with Machine Learning - Exploring Genres in Content-Based Filtering
This video helps you explore the genres in content-based filtering. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use of...
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Recommender Systems: An Applied Approach using Deep Learning - Accuracy Versus Recommendations
In this video, we will perform data visualization with the project we created and check the model’s accuracy. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An Applied...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Convolution
In this video, you will learn how to apply convolution to an image to create a blurring filter. This clip is from the chapter "SciPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section,...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Where to Learn More Matplotlib
In this video, we will understand from where we can learn more about Matplotlib. This clip is from the chapter "Matplotlib" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Plotting Images
In this video, you will learn how to plot images. This clip is from the chapter "Matplotlib" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will talk about Matplotlib.
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - PDF and CDF
In this video, you will learn how to calculate PDF and CDF under normal distribution. This clip is from the chapter "SciPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will...