Curated Video
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.
Curated Video
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 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.
Curated Video
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.
Curated Video
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.
Curated Video
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 -...
Curated Video
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 - 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.
Curated Video
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.
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Project in TensorFlow
This video helps you execute a project in TensorFlow. This clip is from the chapter "Transfer Learning" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on transfer learning.
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Deep Learning CNN Convolutional Neural Networks with Python - Extending to Multiple Layers
This video explains extending to multiple layers. This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on gradient descent in CNNs.
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Convergence Animation
This video explores convergence animation. 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...
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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.
Curated Video
Python for Deep Learning - Build Neural Networks in Python - One-hot encoding using scikit-learn
In this video, we will learn how to work with One-hot encoding using scikit-learn. This clip is from the chapter "Implementation of ANN in Python" of the series "Python for Deep Learning — Build Neural Networks in Python".In this...
Curated Video
Python for Deep Learning - Build Neural Networks in Python - Fitting the ANN Model to the Training Set
In this video, you will learn how to fit the ANN model into the training set. This clip is from the chapter "Implementation of ANN in Python" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section,...
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Python In Practice - 15 Projects to Master Python - Training the Model
This video explains training the model. This clip is from the chapter "Flavor Predictor" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the flavor predictor.
Curated Video
Python In Practice - 15 Projects to Master Python - Creating a Classification Model
This video helps in creating a classification model. This clip is from the chapter "Machine Learning with Python" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on machine learning with Python.
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Training and Evaluating Model
This video explains training and evaluating the model. This clip is from the chapter "Trading Bot RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the Trading Bot RL.
Curated Video
Machine Learning Random Forest with Python from Scratch - Importing Data, Helper Functions
Before creating a decision tree, we will first learn to import our dataset using Pandas. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python from Scratch©".This section...
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Machine Learning Random Forest with Python from Scratch - Dealing with Missing Values
Let's look at the first step involved in the data cleaning process, which is filling or removing missing values from a dataset. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest...
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Fundamentals of Neural Networks - Lab 3 - Deep CNN
This video demonstrates a deeper CNN, where you will build a much bigger number of trainable parameters. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
Packt
Fundamentals of Neural Networks - Forward Propagation
This video explains forward propagation and will dive deeper into the architecture of neural networks. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
Packt
Fundamentals of Neural Networks - Activation Function
This video explains the role of the activation function, which is an interesting phenomenon in the design of neural networks. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This...