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Practical Data Science using Python - NumPy Arrays 1
This video explains the NumPy library. 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 - Model Building and Optimization
This video explains Naive Bayes - model building and optimization. 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 - Naive Bayes - Employee Attrition Case Study
This video explains Naive Bayes - employee attrition case study. 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 - Logistic Regression - Model Evaluation - AUC-ROC
This video explains logistic regression - model evaluation - AUC-ROC. This clip is from the chapter "Logistic Regression" of the series "Practical Data Science Using Python".This section explains logistic regression.
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Practical Data Science using Python - Logistic Regression - Logit Model
This video explains logistic regression - Logit model. This clip is from the chapter "Logistic Regression" of the series "Practical Data Science Using Python".This section explains logistic regression.
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Practical Data Science using Python - Logistic Regression - Data Analysis and Feature Engineering
This video explains logistic regression - data analysis and feature engineering. This clip is from the chapter "Logistic Regression" of the series "Practical Data Science Using Python".This section explains logistic regression.
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Practical Data Science using Python - Logistic Regression - Build the Logistic Model
This video explains logistic regression - build the logistic model. This clip is from the chapter "Logistic Regression" of the series "Practical Data Science Using Python".This section explains logistic regression.
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Practical Data Science using Python - Linear Regression Model Building
This video explains linear regression model building. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
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Practical Data Science using Python - EDA Project - 4
This video explains the isnull() function. 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 - K-Means - Model Optimization
This video explains K-Means - model 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 - K-Means - Data Preparation and Modelling
This video explains K-Means - data preparation and modelling. This clip is from the chapter "Unsupervised Learning - K-Means Clustering" of the series "Practical Data Science Using Python".This section explains unsupervised learning -...
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Practical Data Science using Python - Introduction to Python
This video introduces you to Python. 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 - EDA Project - 5
This video explains how to apply binning on funded amount. 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 - Hyperparameter Tuning
This video explains decision tree - hyperparameter tuning. 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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Deep Learning CNN Convolutional Neural Networks with Python - BiasTerm Solution
This is a solution video on BiasTerm. This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of the deep neural network.
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Deep Learning CNN Convolutional Neural Networks with Python - BiasTerm
This video talks about BiasTerm. This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of the deep neural network.
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Practical Data Science using Python - Regression Models and Performance Metrics
This video explains regression models and performance metrics. This clip is from the chapter "Machine Learning" of the series "Practical Data Science Using Python".This section explains machine learning.
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Practical Data Science using Python - Linear Regression OLS Assumptions and Testing
This video explains linear regression OLS assumptions and testing. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
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Practical Data Science using Python - Linear Regression Model Optimization
This video explains linear regression model optimization. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
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Practical Data Science using Python - Linear Regression Model Evaluation and Optimization
This video explains linear regression model evaluation and optimization. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
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Practical Data Science using Python - Introduction to EDA
This video introduces you to Exploratory Data Analysis. 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 - Classification Problems and Performance Metrics
This video explains classification problems and performance metrics. This clip is from the chapter "Machine Learning" of the series "Practical Data Science Using Python".This section explains machine learning.
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Deep Learning - Deep Neural Network for Beginners Using Python - Linear Equation Vectorized
In this video, we will discuss about the vectorized form of linear equation. 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 - Linear Equation
In this video, we will discuss about the linear equation. 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 basics of...