Curated Video
Deep Learning - Artificial Neural Networks with Tensorflow - The Geometrical Picture
In this video, we will understand the geometrical picture by understanding why neural networks are so important instead of a single neural network. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series...
Curated Video
Deep Learning - Artificial Neural Networks with Tensorflow - Forward Propagation
In this video, you will learn about forward propagation as it is related to neural networks. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with...
Curated Video
Deep Learning - Artificial Neural Networks with Tensorflow - How Does a Model "Learn"?
In this video, we will understand how a model "learns". This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we will cover a crash course...
Curated Video
Deep Learning - Artificial Neural Networks with Tensorflow - The Neuron
In this video, we will understand the neuron. This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we will cover a crash course on...
Curated Video
Deep Learning - Artificial Neural Networks with Tensorflow - Regression Notebook
In this video, we will understand linear regression by proving the Mosse law true. This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section,...
Curated Video
Deep Learning - Artificial Neural Networks with Tensorflow - Code Preparation (Regression Theory)
In this video, we will take a crash course in linear regression for TensorFlow 2.0. This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section,...
Curated Video
Data Science - Time Series Forecasting with Facebook Prophet in Python - Time Series Basics Section Introduction
In this video, we will get introduced to time series and understand some basics. This clip is from the chapter "Time Series Basics" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this section,...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Machine Learning: Section Summary
In this video, we will summarize our learning from this section. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will cover...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Comparing Different Machine Learning Models
In this video, we will understand how all machine learning interfaces are the same. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Where to Learn More Matplotlib
In this video, we will understand from where we can learn more about Matplotlib. This clip is from the chapter "Matplotlib" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Where to Learn More NumPy
In this video, we will understand why we need NumPy and how it is applied in more advanced scenarios. This clip is from the chapter "NumPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this...
Curated Video
Alteryx Advanced - Machine Learning Part 5
This video covers best practices for building and deploying ML models in Alteryx, providing examples of how machine learning can be used to solve specific business problems, customer segmentation, fraud detection, and churn prediction....
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Trend Using Moving Average Filter
This video extracts the trend using the moving average filter. This clip is from the chapter "Data Processing for Timeseries Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section focuses on...
Packt
Trend Using Moving Average Filter
This video extracts the trend using the moving average filter. This clip is from the chapter "Data Processing for Timeseries Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section focuses on...
Curated Video
10 Popular Machine Learning Datasets, Explained
In this month's AI 101, we're taking a look at 10 popular datasets that you can use to improve your machine learning skills.
Curated Video
R Programming for Statistics and Data Science - First Regression in R
This video explains first regression in R. This clip is from the chapter "Linear Regression Analysis" of the series "R Programming for Statistics and Data Science".This section explains linear regression analysis.
Curated Video
AWS Certified Data Analytics Specialty 2021 – Hands-On - Classification Models
This video explains the various classification models in machine learning. This clip is from the chapter "Appendix - Machine Learning Topics for the Legacy AWS Certified Big Data Exam" of the series "AWS Certified Data Analytics...
Curated Video
AWS Certified Data Analytics Specialty 2021 – Hands-On - (Exercise) Amazon Machine Learning, Part 2
This video is the second part of the two-part video that explains how to predict order quantities with a linear regression from Amazon machine learning. This clip is from the chapter "Appendix - Machine Learning Topics for the Legacy AWS...
Curated Video
AWS Certified Data Analytics Specialty 2021 – Hands-On - (Exercise) Amazon Machine Learning, Part 1
This video is the first part of the two-part video that explains how to use Amazon's machine learning service to predict quantities for any given order and learn the importance of cleaning the data of outliers along the way. This clip is...
APMonitor
Polymer MFR Regression
Polymer properties such as density, melt index, and melt flow rate must be kept within tight specifications for each grade. This case study is to analyze polymer production data to predict melt flow rate. 0:00 Introduction to Polymer...
APMonitor
Physics-Informed Neural Network
Physics-based information is integrated into the Neural Network architecture with the use of constraints or other relationships such as periodic cycles. Empirical regression has limitations, especially when predictions are requested...
Curated Video
Predictive Analytics with TensorFlow 4.1: Supervised Learning for Predictive Analytics
In this video, we will see a type of machine learning process that is supervised learning. We will also see linear regression. We will use it for movie rating prediction. • See the spam filtering example • Use linear regression for movie...
APMonitor
Curve Fit with Excel and Python
Nonlinear regression with heart rate data is shown in both Microsoft Excel and Python. GEKKO and SciPy curve_fit are used as two alternatives in Python. Heart rate data is available at...
Curated Video
Discuss the importance of data : Advantages and Disadvantages of Decision Trees
From the section: Simple Classification Tree. This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python. Simple Classification Tree:...