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Practical Data Science using Python - NumPy Arrays 3
This video explains iterating through an array. This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.
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Practical Data Science using Python - NumPy Arrays 2
This video explains returning the dot product of two arrays. This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.
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Practical Data Science using Python - Naive Bayes Probability Model - Introduction
This video introduces you to the Naive Bayes probability model. This clip is from the chapter "Naive Bayes Probability Model" of the series "Practical Data Science Using Python".This section explains Naive Bayes probability model –...
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Practical Data Science using Python - K-Means Clustering Computation
This video explains K-Means clustering computation. This clip is from the chapter "Unsupervised Learning - K-Means Clustering" of the series "Practical Data Science Using Python".This section explains unsupervised learning - K-Means...
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Practical Data Science using Python - EDA Project - 7
This video explains the influence of dti on the loan status or the default ratio. This clip is from the chapter "Exploratory Data Analysis (EDA)" of the series "Practical Data Science Using Python".This section explains Exploratory Data...
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Practical Data Science using Python - Decision Tree - Learning Steps
This video explains decision tree - learning steps. This clip is from the chapter "Classification using decision trees" of the series "Practical Data Science Using Python".This section explains classification using decision trees.
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Practical Data Science using Python - K-Means Clustering Optimization
This video explains K-Means clustering optimization. This clip is from the chapter "Unsupervised Learning - K-Means Clustering" of the series "Practical Data Science Using Python".This section explains unsupervised learning - K-Means...
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Practical Data Science using Python - EDA Project - 3
This video explains unordered categorical variables. This clip is from the chapter "Exploratory Data Analysis (EDA)" of the series "Practical Data Science Using Python".This section explains Exploratory Data Analysis.
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Practical Data Science using Python - EDA Project - 1
This video explains an example of lending club case study. This clip is from the chapter "Exploratory Data Analysis (EDA)" of the series "Practical Data Science Using Python".This section explains Exploratory Data Analysis.
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Practical Data Science using Python - Decision Tree - Model Optimization using Grid Search Cross Validation
This video explains decision tree - model optimization using grid search cross validation. This clip is from the chapter "Classification using decision trees" of the series "Practical Data Science Using Python".This section explains...
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Practical Data Science using Python - Decision Tree - Model Concept
This video introduces you to decision tree - model concept. This clip is from the chapter "Classification using decision trees" of the series "Practical Data Science Using Python".This section explains classification using decision trees.
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Practical Data Science using Python - Decision Tree - Gini Index and Entropy Measures
This video explains decision tree - Gini Index and Entropy Measures. This clip is from the chapter "Classification using decision trees" of the series "Practical Data Science Using Python".This section explains classification using...
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Practical Data Science using Python - Naive Bayes Probability Computation
This video explains Naive Bayes probability computation. This clip is from the chapter "Naive Bayes Probability Model" of the series "Practical Data Science Using Python".This section explains Naive Bayes probability model – introduction.
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Practical Data Science using Python - Hypothesis Testing
This video explains hypothesis testing.
This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using business applications.
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Deep Learning - Deep Neural Network for Beginners Using Python - Weighted Sums
In this video, you will learn about weighted sums. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep learning.
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Deep Learning - Deep Neural Network for Beginners Using Python - Theory of Perceptron
In this video, we will discuss about the theory of perceptron. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover the...
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Deep Learning - Deep Neural Network for Beginners Using Python - Sigma Prime
In this video, you will learn about Sigma Prime. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep learning.
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Deep Learning - Deep Neural Network for Beginners Using Python - Output Function Implementation
In this video, you will learn how to implement output function in our code. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will...
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Deep Learning - Deep Neural Network for Beginners Using Python - Logistic Regression Algorithm
In this video, we will talk about the logistic regression algorithm. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into...
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Deep Learning - Deep Neural Network for Beginners Using Python - Implementing Basic Perceptron
In this video, you will learn how to implement the basic perceptron in our notebook. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section,...
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Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 3
In this part, we will work on the sigmoid, backpropagation, and train functions. This clip is from the chapter "Final Project" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this last section, we will...
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Deep Learning - Deep Neural Network for Beginners Using Python - Feed Forward for DEEP Net
In this video, you will learn about Feed Forward for DEEP Net. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep...
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Deep Learning - Deep Neural Network for Beginners Using Python - Coding Perceptron Algo (Training Perceptron)
In this video, we will work on the perceptron algorithm and learn how to code for training perceptron. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using...
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Deep Learning - Deep Neural Network for Beginners Using Python - Coding Perceptron Algo (Perceptron Step)
In this video, we will work on the perceptron algorithm and learn how to code for perceptron step. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In...