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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 - Principal Component Analysis Practical
This video demonstrates PCA using Python. This clip is from the chapter "Dimensionality Reduction Using PCA" of the series "Practical Data Science Using Python".This section explains dimensionality reduction using PCA.
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Practical Data Science using Python - Pandas Series 4
This video explains the round method. 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 - Pandas Series 3
This video explains between the various methods in Pandas series. 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 - Pandas Series 1
This video explains the Pandas series. 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 - Pandas DataFrame 6
This video explains filling missing values 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.
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Practical Data Science using Python - Pandas DataFrame 1
This video explains Pandas 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.
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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 - Logistic Regression Introduction
This video introduces you to logistic regression. 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 - 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 - Logistic Regression - Model Optimization
This video explains logistic regression - model optimization. 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 Data Preparation and Analysis 3
This video explains the train-rest split and feature scaling. 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 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 - Linear Regression - Cost Functions and Gradient Descent
This video explains linear regression - cost functions and gradient descent. 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 - Decision Tree - Iris Dataset Case Study
This video explains decision tree - Iris Dataset case study. 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 - 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...
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Deep Learning CNN Convolutional Neural Networks with Python - Calculating Number of Weights of DNN
This video explains calculating number of weights of DNN. 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...
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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...