In this video, we will first explore our dataset, then learn how to import and read our dataset in Python.
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This clip is from the chapter "Multiple Linear Regression" of the series "Python for Machine Learning - The Complete...

In this video, you will learn how to encode categorical data.
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This clip is from the chapter "Multiple Linear Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will...

This video introduces you to logistic regression.<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 the train-rest split and feature scaling.<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 car price prediction.<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 EDA tools and processes.<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 talks about training DNN animation.
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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...

In this video, we will be working on splitting the data with training and test sets.
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This clip is from the chapter "Implementation of ANN in Python" of the series "Python for Deep Learning — Build Neural Networks in...

In this video, you will learn how to explore the dataset.
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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, you will...

This video explains decision tree - Iris Dataset case study.
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This clip is from the chapter "Classification using decision trees" of the series "Practical Data Science Using Python".This section explains classification using...

This video introduces you to Support Vector Machine concepts.
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This clip is from the chapter "Advanced Classification Techniques – Support Vector Machine" of the series "Practical Data Science Using Python".This section...

This video explains random forest steps pruning and optimization.
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This clip is from the chapter "Ensemble Methods – Random Forest" of the series "Practical Data Science Using Python".This section explains classification using...

This video demonstrates PCA using Python.<br<br/>/>

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.

In this video, we will discuss our final project, which classifies the titanic dataset using Random Forest.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python...

In this video, we will define columns for questioning and determine how much information can be gained by splitting a column.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random...

This video explains how to manage test data in an Excel file.
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This clip is from the chapter "Data-Driven Testing" of the series "Selenium WebDriver Advanced - Industry Standard Framework".In this section, you will learn about...

This video explains about the gradient descent Stochastic Batch Minibatch.
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This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This...

This video explains setting up the environment.<br<br/>/>

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.

In this video, you will learn to implement the accuracy method to help determine our model's performance.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python...

In this video, we will cover machine learning model 2.
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This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...

In this video, we will cover clustering.
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This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will...

In this video, we will cover ImageNet challenge.
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This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...

In this video, we will cover random variables in real datasets.
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This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory...

In this video, we will cover modelling RNN model training.
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This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...