Instructional Video2:48
Curated Video

Python for Machine Learning - The Complete Beginners Course - Managing Directories in Jupyter Notebook

Higher Ed
In this video, you will learn how to manage directories in Jupyter Notebook.
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This clip is from the chapter "Optional: Setting Up Python and ML Algorithms Implementation" of the series "Python for Machine Learning - The...
Instructional Video1:24
Curated Video

Python for Machine Learning - The Complete Beginners Course - Introduction - Classification Algorithms: Logistic Regression

Higher Ed
In this video, we will have a quick introduction.
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This clip is from the chapter "Classification Algorithms: Logistic Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we...
Instructional Video1:04
Curated Video

Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Training the Model

Higher Ed
In this video, you will learn how to train the model.
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This clip is from the chapter "Classification Algorithms: Logistic Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this...
Instructional Video1:47
Curated Video

Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Splitting Data into Train and Test Sets - Multiple Linear Regression

Higher Ed
In this video, you will learn how to split data into train and test sets.
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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...
Instructional Video1:31
Curated Video

Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Results Prediction and Confusion Matrix - Classification Algorithms: K-Nearest Neighbors

Higher Ed
In this video, you will learn about results prediction and confusion matrix.
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This clip is from the chapter "Classification Algorithms: K-Nearest Neighbors" of the series "Python for Machine Learning - The Complete Beginner's...
Instructional Video2:58
Curated Video

Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Predicting the Test Set Results

Higher Ed
In this video, you will learn how to predict the test set results.
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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...
Instructional Video1:48
Curated Video

Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Importing Libraries and Datasets - Simple Linear Regression

Higher Ed
In this video, you will learn how to import libraries and datasets.
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This clip is from the chapter "Simple Linear Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we...
Instructional Video2:49
Curated Video

Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Encoding Categorical Data - Classification Algorithms: Decision Tree

Higher Ed
In this video, you will learn how to encode categorical data.
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This clip is from the chapter "Classification Algorithms: Decision Tree" of the series "Python for Machine Learning - The Complete Beginner's Course".In this...
Instructional Video1:16
Curated Video

Python for Machine Learning - The Complete Beginners Course - Hierarchical Clustering

Higher Ed
In this video, we will cover hierarchical clustering.<br<br/>/>

This clip is from the chapter "Clustering" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, you will learn about clustering.
Instructional Video1:03
Curated Video

Python for Machine Learning - The Complete Beginners Course - Frequency Distribution

Higher Ed
In this video, you will learn about frequency distribution.
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This clip is from the chapter "Recommender System" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover the...
Instructional Video1:19
Curated Video

Python for Machine Learning - The Complete Beginners Course - Evaluating the Performance of the Regression Model

Higher Ed
In this video, you will learn how to evaluate the performance of the regression model.
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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...
Instructional Video1:34
Curated Video

Python for Machine Learning - The Complete Beginners Course - Density-Based Clustering

Higher Ed
In this video, we will cover density-based clustering.<br<br/>/>

This clip is from the chapter "Clustering" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, you will learn about clustering.
Instructional Video1:15
Curated Video

Python for Machine Learning - The Complete Beginners Course - Decision Tree Structure

Higher Ed
In this video, we will cover the decision tree structure.
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This clip is from the chapter "Classification Algorithms: Decision Tree" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section,...
Instructional Video13:54
Curated Video

Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - SAS Studio/SAS OnDemand for Academics – Register, Upload, Run Code

Higher Ed
This video helps you with SAS Studio/SAS OnDemand for academics. You will register, upload, and run code using SAS studio.
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This clip is from the chapter "Introduction to the Course" of the series "Complete SAS Programming...
Instructional Video19:12
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Conditional Probability in Machine Learning

Higher Ed
In this video, we will cover conditional probability in machine learning.
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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...
Instructional Video7:13
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: Representational Power and Data Utilization Capacity of DNN

Higher Ed
In this video, we will cover representational power and data utilization capacity of DNN.
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning...
Instructional Video13:02
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Dimensionality Reduction: The Curse of Dimensionality

Higher Ed
In this video, we will cover the curse of dimensionality.
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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...
Instructional Video7:56
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Data Preparation and Pre-processing: Handling Image Data

Higher Ed
In this video, we will cover handling image data.
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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,...
Instructional Video10:28
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Models and Optimization: Machine Learning Model 1

Higher Ed
In this video, we will cover machine learning model 1.
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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...
Instructional Video4:21
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Regression Exercise Solution

Higher Ed
In this video, we will cover regression exercise solution.
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Instructional Video2:10
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Regression Exercise

Higher Ed
In this video, we will cover regression exercise.
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Instructional Video2:47
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Model Multi Target Models

Higher Ed
In this video, we will cover machine learning model multi target models.
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and...
Instructional Video10:41
Curated Video

Selenium WebDriver with Java - Basics to Advanced and Frameworks - Switching the Tests with Maven Profiling

Higher Ed
This video explains how to switch the tests with Maven profiling.
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This clip is from the chapter "Framework Part 3 - Maven Build Management Tool" of the series "Selenium WebDriver with Java - Basics to Advanced and...