Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Building Machine Learning Model from Scratch: Linear Regression from Scratch- Part 1
In this video, we will cover linear regression from scratch- part 1. 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...
Curated Video
Fundamentals of Machine Learning - Unsupervised Learning
This video explains unsupervised learning, Principal Components Analysis (PCA), and clustering. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical...
Curated Video
Fundamentals of Machine Learning - Tree-Based Methods - Part 2
The second part of the tree-based methods explains random forests. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling, and...
Curated Video
Fundamentals of Machine Learning - Support Vector Machine (SVM) - Lectures
This video explains the support vector machine called SVM and its introduction. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling,...
Curated Video
Fundamentals of Machine Learning - Support Vector Machine (SVM) - Labs
This video explains a lab session on Support Vector Machines or SVM. This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab exercises on linear regression, ridge...
Curated Video
Fundamentals of Machine Learning - Linear Regression - Labs
This video explains linear regression using an example of predicting fuel efficiency. This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab exercises on linear...
Curated Video
Fundamentals of Machine Learning - Linear Regression - Lectures
This video explains the foundation of the linear regression model, which is the very first approach to supervised learning. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains...
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Fundamentals of Machine Learning - Classification
This video explains one of the most basic forms of classification, which is the logistic regression model. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of...
Curated Video
Fundamentals of Machine Learning - Basics in Statistical Learning
This video explains some basic notations in statistical learning, such as Xij. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling,...
Curated Video
Practical Data Science using Python - Regression Models and Performance Metrics
This video explains regression models and performance metrics. This clip is from the chapter "Machine Learning" of the series "Practical Data Science Using Python".This section explains machine learning.
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.
Curated Video
Practical Data Science using Python - Linear Regression Model Optimization
This video explains linear regression model 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 - Classification Problems and Performance Metrics
This video explains classification problems and performance metrics. This clip is from the chapter "Machine Learning" of the series "Practical Data Science Using Python".This section explains machine learning.
Curated Video
Python In Practice - 15 Projects to Master Python - How Machines Learn
This video explains how machines learn. 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.
Packt
Fundamentals of Neural Networks - Linear Regression
This video explains statistical machine learning, where you will start with the linear regression model. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
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Fundamentals of Neural Networks - Lab 2 - Introduction to TensorFlow – Remove the Throat-Clearing Sound in the Start of the Video
This video demonstrates some basic operations in TensorFlow such as objects and we will apply some mathematical operations to the Tensor objects. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in...
Packt
Fundamentals of Neural Networks - Lab 1 - Introduction to Python
This video demonstrates some of the basic commands in Python specifically the print statement, data structures, variables, and how to define a function. This clip is from the chapter "Artificial Neural Networks" of the series...
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...
Curated Video
Fundamentals of Machine Learning - Tree-Based Methods - Part 1
This part of the video explains decision tree. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling, and Bootstrap as well as support...
Curated Video
Fundamentals of Machine Learning - Ridge
This video explains a lab session on Ridge regression, which holds a unique position in statistical machine learning. This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various...
Curated Video
Fundamentals of Machine Learning - PCA
This video explains a lab session on Eigenfaces using PCA. This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab exercises on linear regression, ridge regression,...
Curated Video
Fundamentals of Machine Learning - Logistic Regression
This video explains logistic regression with a little bit of mathematics behind it. This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab exercises on linear...
Curated Video
Fundamentals of Machine Learning - Going Beyond Linearity
This video explains going beyond linearity; specifically, we will look at a couple of interesting examples to improve the linear regression model to see if we can create models that are non-linear. This clip is from the chapter...