In this episode, Mr. P delves into Gauss's law for magnetism, unraveling the mysteries of magnetic flux through closed surfaces. Exploring the hypothetical existence of magnetic monopoles, the class speculates on the implications of...

In this video, we will understand the different mathematical operations and functions that we can perform on NumPy arrays.
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This clip is from the chapter "Optional Learning - Python for Data Science - with NumPy" of the series...

In this video, we will have a quick recap on the convolution operation.
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This clip is from the chapter "CNN in PyTorch" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section, you will...

In this video, we will understand from where we can learn more about Pandas.
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This clip is from the chapter "Pandas" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will...

In this video, we will understand how we can use CNNs for text sequences.
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This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this...

In this video, we will look at a new perspective on convolution to understand how it works.
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This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks...

In this video, we will summarize our learning from this section.
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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...

In this video, you will learn what other types of machine learning exist and some future topics that we can look forward to learning.
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This clip is from the chapter "Machine Learning Basics" of the series "Data Science...

In this video, we will understand how all machine learning interfaces are the same.
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This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in...

In this video, we will understand how all data is the same as all machine learning interfaces are the same.
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This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy,...

In this video, we will understand that machine learning is nothing but a geometry problem and see how it works for classification and regression.
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This clip is from the chapter "Machine Learning Basics" of the series "Data...

In this video, you will learn about a feature vector.
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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...

In this video, we will practice all that we have learnt in the previous video about regression.
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This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas...

In this video, we will understand what regression is.
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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...

In this video, we will practice all that we have learnt in the previous video about classification.
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This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and...

In this video, we will understand classification.
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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...

In this video, we will understand what machine learning is and the learning objective of this section.
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This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and...

In this video, we will summarize what we have learnt about SciPy and understand where it can be applied.
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This clip is from the chapter "SciPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in...

In this video, you will learn how to apply convolution to an image to create a blurring filter.
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This clip is from the chapter "SciPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In...

In this video, you will learn how to select rows and columns from a data frame.
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This clip is from the chapter "Pandas" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we...

In this video, we will understand from where we can learn more about Matplotlib.
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This clip is from the chapter "Matplotlib" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section,...

In this video, you will learn how to plot images.<br<br/>/>

This clip is from the chapter "Matplotlib" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will talk about Matplotlib.

In this video, we will get introduced to the course and understand the learning objective.
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This clip is from the chapter "Welcome and Logistics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in...

In this video, we will have a look at the SciPy exercise that needs to be resolved on our own.
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This clip is from the chapter "SciPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this...