In this video, we will break down the gradient step and learn how to update weight and biases.
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This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In...

A system’s BIOS is robust and rarely causes trouble, but when it does a good tech must be ready to troubleshoot. Understanding a few simple tricks can make troubleshooting easier. This clip is from the chapter "Firmware" of the series...

Basic Input/Output Services (BIOS) is code (firmware) built into every motherboard to give the CPU basic communication with the hardware attached to the motherboard. BIOS is a critical part of the PC and a good tech needs to understand...

This video explains regression models and performance metrics.<br<br/>/>

This clip is from the chapter "Machine Learning" of the series "Practical Data Science Using Python".This section explains machine learning.

This video introduces you to creating a copy of the set.<br<br/>/>

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.

This video explains Python Lambda functions and date-time operations.<br<br/>/>

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.

This video explains loop structures with numeric ranges.<br<br/>/>

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.

This video explains item functions in Python dictionaries.<br<br/>/>

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.

This video explains Python dictionaries, which are a collection of key-value pairs.
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This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for...

This video introduces you to Principal Component Analysis – concepts.
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This clip is from the chapter "Dimensionality Reduction Using PCA" of the series "Practical Data Science Using Python".This section explains dimensionality...

This video explains concatenation in DataFrame.<br<br/>/>

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.

This video explains the NumPy library.<br<br/>/>

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.

This video explains Naive Bayes - model building and optimization.
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This clip is from the chapter "Naive Bayes Probability Model" of the series "Practical Data Science Using Python".This section explains Naive Bayes...

This video explains Naive Bayes - employee attrition case study.
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This clip is from the chapter "Naive Bayes Probability Model" of the series "Practical Data Science Using Python".This section explains Naive Bayes probability...

This video explains logistic regression - model evaluation - AUC-ROC.<br<br/>/>

This clip is from the chapter "Logistic Regression" of the series "Practical Data Science Using Python".This section explains logistic regression.

This video explains logistic regression - Logit model.<br<br/>/>

This clip is from the chapter "Logistic Regression" of the series "Practical Data Science Using Python".This section explains logistic regression.

This video explains logistic regression - data analysis and feature engineering.<br<br/>/>

This clip is from the chapter "Logistic Regression" of the series "Practical Data Science Using Python".This section explains logistic regression.

This video explains logistic regression - build the logistic model.<br<br/>/>

This clip is from the chapter "Logistic Regression" of the series "Practical Data Science Using Python".This section explains logistic regression.

This video explains linear regression OLS assumptions and testing.<br<br/>/>

This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.

This video explains linear regression model optimization.<br<br/>/>

This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.

This video explains linear regression model evaluation and optimization.<br<br/>/>

This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.

This video explains linear regression model building.<br<br/>/>

This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.

This video explains the isnull() function.<br<br/>/>

This clip is from the chapter "Exploratory Data Analysis (EDA)" of the series "Practical Data Science Using Python".This section explains Exploratory Data Analysis.

This video explains K-Means - model optimization.
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This clip is from the chapter "Unsupervised Learning - K-Means Clustering" of the series "Practical Data Science Using Python".This section explains unsupervised learning -...