Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Geographic Maps with Folium: Geographic Maps with Folium using COVID-19 Data
In this video, we will cover geographic maps with Folium using COVID-19 data. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Continuous Random Variables: Gaussian Python
In this video, we will cover Gaussian Python. 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 to Z".In this...
Brian McLogan
Learning to Determine the Amplitude and Period of a Sine Function
👉 Learn how to graph a sine function. To graph a sine function, we first determine the amplitude (the maximum point on the graph), the period (the distance/time for a complete oscillation), the phase shift (the horizontal shift from the...
KnowMo
Equations of a Straight Line from Coordinates
This video provides a lecture on how to calculate the equation of a straight line using coordinates. The presenter explains the formula for a linear graph, which is Y = MX + C, where M is the gradient and C is the Y-intercept. The video...
Brian McLogan
Tutorial - Graphing complex numbers ex 2, 1 - 4i
In this video playlist you will learn everything you need to know with complex and imaginary numbers 1 - 4i
Brian McLogan
Tutorial - Graphing complex numbers ex 1, 2i
In this video playlist you will learn everything you need to know with complex and imaginary numbers 2i
Curated Video
Probability Statistics - The Foundations of Machine Learning - Central Tendency, Mean, Median, and Mode
In this video, we will cover central tendency, mean, median, and mode. This clip is from the chapter "Diving in with Code" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will first set...
Curated Video
Data Analytics using Python Visualizations - Using the ColumnDataSource Object
This video explains using the ColumnDataSource object. This clip is from the chapter "Working with the Beautiful and Powerful Bokeh Library" of the series "Data Analytics Using Python Visualizations".This section explains working with...
Curated Video
Data Analytics using Python Visualizations - Introduction to Bokeh
This video introduces you to Bokeh. This clip is from the chapter "Working with the Beautiful and Powerful Bokeh Library" of the series "Data Analytics Using Python Visualizations".This section explains working with the beautiful and...
Curated Video
Data Analytics using Python Visualizations - Categorical Variables and Histograms (with EDA)
This video explains categorical variables and histograms. This clip is from the chapter "Advanced Visualizations Using Business Applications" of the series "Data Analytics Using Python Visualizations".This section explains advanced...
Curated Video
Data Analytics using Python Visualizations - Area and Stacked-Area Charts
This video explains area and stacked-area charts. This clip is from the chapter "Advanced Visualizations Using Business Applications" of the series "Data Analytics Using Python Visualizations".This section explains advanced...
Curated Video
Data Analytics using Python Visualizations - Seasonal Trendcharts
This video explains seasonal Trendcharts. This clip is from the chapter "Advanced Visualizations Using Business Applications" of the series "Data Analytics Using Python Visualizations".This section explains advanced visualizations using...
Curated Video
Data Analytics using Python Visualizations - Stylesheets, rcParam, and Custom Stylesheets
This video explains stylesheets, rcParam, and custom stylesheets. This clip is from the chapter "Matplotlib and Seaborn – Libraries and Techniques" of the series "Data Analytics Using Python Visualizations".This section introduces you...
Curated Video
Data Analytics using Python Visualizations - Plotting Images and Clustering
This video explains plotting images and clustering. This clip is from the chapter "Matplotlib and Seaborn – Libraries and Techniques" of the series "Data Analytics Using Python Visualizations".This section introduces you to Matplotlib...
Curated Video
Data Analytics using Python Visualizations - Working with Subplots
This video explains working with subplots. This clip is from the chapter "Matplotlib and Seaborn – Libraries and Techniques" of the series "Data Analytics Using Python Visualizations".This section introduces you to Matplotlib and Seaborn.
Curated Video
Data Analytics using Python Visualizations - Plotting 2D Histograms
This video explains plotting 2D histograms. This clip is from the chapter "Matplotlib and Seaborn – Libraries and Techniques" of the series "Data Analytics Using Python Visualizations".This section introduces you to Matplotlib and...
Curated Video
Data Analytics using Python Visualizations - Creating Error Bars
This video explains creating error bars. This clip is from the chapter "Matplotlib and Seaborn – Libraries and Techniques" of the series "Data Analytics Using Python Visualizations".This section introduces you to Matplotlib and Seaborn.
Curated Video
Arduino for Beginners - 2022 Complete Course - Read an Analog Value from the Potentiometer
This video explains reading an analog value from the Potentiometer. This clip is from the chapter "Potentiometer- Analog Pins" of the series "Arduino for Beginners - 2022 Complete Course".This section explains the Potentiometer.
Curated Video
Practical Data Science using Python - K-Means - Model Optimization
This video explains K-Means - model optimization. This clip is from the chapter "Unsupervised Learning - K-Means Clustering" of the series "Practical Data Science Using Python".This section explains unsupervised learning - K-Means...
Curated Video
Practical Data Science using Python - K-Means - Data Preparation and Modelling
This video explains K-Means - data preparation and modelling. This clip is from the chapter "Unsupervised Learning - K-Means Clustering" of the series "Practical Data Science Using Python".This section explains unsupervised learning -...
Curated Video
Practical Data Science using Python - Linear Regression Model Optimization
This video explains linear regression model optimization. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Plotting the Moving Avg
This video demonstrates plotting the Moving Avg. This clip is from the chapter "Deep RL DQN" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on deep RL DQN.
Packt
Fundamentals of Neural Networks - Lab 3 - Deep CNN
This video demonstrates a deeper CNN, where you will build a much bigger number of trainable parameters. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
Curated Video
AWS Serverless Microservices with Patterns and Best Practices - Environment Variable of Postman Collection - Best Practice Provisioned API URLs
This video explains the environment variable of Postman Collection—best practice provisioned API URLs. This clip is from the chapter "Developing Product Lambda Microservices CRUD Functions with AWS SDK" of the series "AWS Serverless...