Project-Based Learning is a method that involves students in a long-term in-depth investigation of a real world challenge. Instead of raw memorization of facts or following instructions that present a smooth path to knowledge, students...

The video is about project-based learning (PBL), which is described as a powerful way to learn new things and remember them for a long time. The video also provides an example of a shy 19-year-old student named Jane who wanted to move...

In this video, we will cover coordinates versus dimensions.
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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...

Jane Krauss is a teacher, author and consultant who does curriculum and program development designed to increase participation of girls and other underrepresented groups in computer science. She will gladly tell you why...

In this video, we will cover project Bayes Classifier from scratch.
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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...

In this video, we will cover similarity based methods introduction.
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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...

In this video, we will cover statistical based 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...

In this video, we will cover similarity based methods criteria.
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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...

In this video, we will cover Python function- round.
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This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and Projects) A...

In this video, we will cover string escape sequences.
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This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and Projects) A...

In this video, we will cover unsupervised learning.
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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...

In this video, we will cover unsupervised learning and reinforcement learning.
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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...

In this video, we will be installing Python and Jupyter Anaconda.
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This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and...

In this video, we will cover variable number of input arguments as dictionary.
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This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine...

In this video, we will cover multiple input arguments.
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This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and Projects)...

In this video, we will cover input arguments.
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This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and Projects) A to...

In this video, we will cover probability models more examples.
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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 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...

In this video, we will cover Pandas Merge.
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This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and Projects)...

In this video, we will cover transformation of random variables.
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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 GRU.
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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 will...

In this video, we will cover fixed length memory model exercise solution part 02.
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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...

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...

In this video, we will cover embedded 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...