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Curated Video
Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Results Prediction and Confusion Matrix - Classification Algorithms: Logistic Regression
In this video, you will learn about results prediction and confusion matrix.
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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...
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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...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Results Prediction and Accuracy
In this video, you will learn about results prediction and accuracy.
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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...
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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...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Pre-Processing
In this video, you will learn how to do pre-processing.
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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...
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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...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Importing the KNN Classifier
In this video, you will learn how to import the KNN classifier.
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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 Course".In...
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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 Course".In...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Importing the Dataset
In this video, you will learn how to import the dataset.
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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 Course".In this...
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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 Course".In this...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Importing Libraries and Datasets - Recommender System
In this video, you will learn how to import libraries and datasets.
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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...
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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...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Importing Libraries and Datasets - Classification Algorithms: Logistic Regression
In this video, you will learn how to import libraries and datasets.
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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...
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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...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Implementation in Python
In this video, you will learn implementation in Python.<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.
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.
Curated Video
Python for Machine Learning - The Complete Beginners Course - Grabbing the Ratings for Two Movies
In this video, you will learn how to grab the ratings for two movies.
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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...
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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...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Data Pre-Processing
In this video, you will learn about data pre-processing.
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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...
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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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Features in Data Science: Features Dimensions Activity
In this video, we will cover features dimensions activity.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning...
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Filter Methods
In this video, we will cover filter methods.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: Supervised PCA and Fishers Linear Discriminant Analysis Activity
In this video, we will cover Supervised PCA and Fishers linear discriminant analysis activity.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data...
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: Supervised PCA and Fishers Linear Discriminant Analysis
In this video, we will cover supervised PCA and Fishers linear discriminant analysis.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science...
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: ManyToOne Model Solution
In this video, we will cover ManyToOne model solution.
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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...
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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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Probability Models BayesRule
In this video, we will cover probability models BayesRule.
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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 and...
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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 and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Optional Estimation: Logistic Regression
In this video, we will cover logistic regression.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Optional Estimation: DNN
In this video, we will understand DNN.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Object Detection: Hand Engineering Versus CNNs
In this video, we will cover hand engineering versus CNNs.
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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...
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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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Classification
In this video, we will cover classification.
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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...
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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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Sentiment Classification using RNN: Vocabulary Implementation
In this video, we will cover vocabulary implementation.
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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...
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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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Sentiment Classification using RNN: RNN Setup 2
In this video, we will cover RNN setup 2.
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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 this section, we...
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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 this section, we...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Model Performance Metrics: The Confusion Matrix
In this video, we will cover the confusion matrix.
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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...
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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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction: Python Practical of the Course
In this video, we will cover a Python practical of the course.
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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...
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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...