Curated Video
Project Based Learning
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...
Curated Video
Project-Based Learning: How It Works and Why It’s So Effective
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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Coordinates Versus Dimensions
In this video, we will cover coordinates versus dimensions. 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...
Brainwaves Video Anthology
Jane Krauss - Computer Science for All A Few Reasons Why
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 computational...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Project Bayes Classifier: Project Bayes Classifier from Scratch
In this video, we will cover project Bayes Classifier from scratch. 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 - Feature Selection: Similarity Based Methods Introduction
In this video, we will cover similarity based methods introduction. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory...
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Data Science and Machine Learning (Theory and Projects) A to Z - Python Useful function: Python Function- Round
In this video, we will cover Python function- round. 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 Z".In...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Statistical Based Methods
In this video, we will cover statistical based methods. 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 Projects)...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Similarity Based Methods Criteria
In this video, we will cover similarity based methods criteria. 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 - String in Python: String Escape Sequences
In this video, we will cover string escape sequences. 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 Z".In...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Unsupervised Learning
In this video, we will cover unsupervised learning. 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 section, we...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Process of Learning from Data: Unsupervised Learning and Reinforcement Learning
In this video, we will cover unsupervised learning and reinforcement learning. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Installation of Anaconda and IPython Shell: Installing Python and Jupyter Anaconda
In this video, we will be installing Python and Jupyter Anaconda. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Function and Module in Python: Variable Number of Input Arguments as Dictionary
In this video, we will cover variable number of input arguments as dictionary. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Function and Module in Python: Multiple Input Arguments
In this video, we will cover multiple input arguments. 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 Z".In...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Function and Module in Python: Input Arguments
In this video, we will cover input arguments. 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 Z".In this...
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. 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 Projects) A...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Continuous Random Variables: Transformation of Random Variables
In this video, we will cover transformation of random variables. 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 - Probability Model: Probability Models More Examples
In this video, we will cover probability models more examples. 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 Projects)...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Pandas for Data Manipulation and Understanding: Pandas Merge
In this video, we will cover Pandas Merge. 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) A to Z".In...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Methods: Clustering
In this video, we will cover clustering. 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, we will cover...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Vanishing Gradients in RNN: GRU
In this video, we will cover GRU. 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 cover deep...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: Fixed Length Memory Model Exercise Solution Part 02
In this video, we will cover fixed length memory model exercise solution part 02. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects)...
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. 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 Projects) A to Z".In...