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Practical Data Science using Python - Random Forest Steps Pruning and Optimization
This video explains random forest steps pruning and optimization. This clip is from the chapter "Ensemble Methods – Random Forest" of the series "Practical Data Science Using Python".This section explains classification using decision...
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Practical Data Science using Python - Random Forest - Ensemble Techniques Bagging and Random Forest
This video introduces you to ensemble techniques bagging and random forest. This clip is from the chapter "Ensemble Methods – Random Forest" of the series "Practical Data Science Using Python".This section explains classification using...
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Practical Data Science using Python - Probability Theory
This video explains the Probability Theory. 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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Practical Data Science using Python - Optimizing Classification Metrics
This video explains optimizing classification 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 - Introduction to Deep Learning
This video introduces you to deep learning. This clip is from the chapter "Introduction to Deep Learning" of the series "Practical Data Science Using Python".This section explains deep learning.
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Practical Data Science using Python - Linear Regression Data Preparation and Analysis 2
This video explains how to plot the distribution of various values of engine types. 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 Car Price Prediction
This video explains linear regression car price prediction. 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 - Practical Approach
This video explains linear regression - practical approach. 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 Tools and Processes
This video explains EDA tools and processes. 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 - 6
This video explains the correlation between grade of loan and 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 - Binomial Theory - Expected Value and Standard Error
This video explains the Binomial Theory - expected value and standard error. This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using...
Packt
Fundamentals of Neural Networks - Long Short-Term Memory (LSTM)
Long short-term memory (LSTM) is an artificial recurrent neural network (RNN) architecture used in the field of deep learning. LSTM networks are well-suited to classifying, processing, and making predictions based on time series data...
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Deep Learning - Deep Neural Network for Beginners Using Python - Updating Weights in Python
In this video, you will learn how to update weights in Python. 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 - Implementing Logistic Regression
In this video, you will learn how to implement logistic regression. 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 - Gradient Step
In this video, we will break down the gradient step and learn how to update weight and biases. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section,...
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CompTIA A+ Certification 220-1001: The Total Course - Troubleshooting Firmware
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...
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CompTIA A+ Certification 220-1001: The Total Course - What is the BIOS?
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...
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Practical Data Science using Python - Python Sets 2
This video introduces you to creating a copy of the set. 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.
Curated Video
Practical Data Science using Python - Python Lambda Functions and Date-Time Operations
This video explains Python Lambda functions and date-time operations. 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 - Python Iterations 2
This video explains loop structures with numeric ranges. 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 - Python Dictionaries 2
This video explains item functions in Python dictionaries. 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 - Python Dictionaries 1
This video explains Python dictionaries, which are a collection of key-value pairs. 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.
Curated Video
Practical Data Science using Python - Principal Component Analysis - Concepts
This video introduces you to Principal Component Analysis – concepts. This clip is from the chapter "Dimensionality Reduction Using PCA" of the series "Practical Data Science Using Python".This section explains dimensionality reduction...
Curated Video
Practical Data Science using Python - Pandas DataFrame 4
This video explains concatenation in DataFrame. 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.