Python 🐍 Data Science with the TCLab



Welcome to this data science course on Python! This course is intended to help you develop data science and machine learning skills

in Python.

As with...

In this video, we will understand the need of Jupyter Notebooks.
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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...

This video explains how to start with Python with Jupyter Notebook.<br<br/>/>

This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.

This video talks about the Jupyter Notebook.
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This clip is from the chapter "Advanced Level: Data Science" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the advanced level: data...

In this video, you will learn how to install Jupyter Notebook on your system.
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This clip is from the chapter "Python Crash Course on Basics" of the series "Deep Learning - Crash Course 2023".In this section, we will work on...

Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...

Let us learn about interactive notebooks for a Windows operating system.
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This clip is from the chapter "Introduction" of the series "Python for Everybody: The Ultimate Python 3 Bootcamp".This section gives us a basic...

This Python 3 course comes with interactive notebooks. Execute the code you see me writing, take notes beside the code, and safely experiment to learn Python in a hands-on way!
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This clip is from the chapter "Introduction"...

From the section: Environment Setup and Installation. This section will help you to install the required software and set up the development environment for this course.



Environment Setup and Installation: Test your...

This video explains working with files in R.
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This clip is from the chapter "Getting Started with R" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section introduces you to...

In this lab video, you will learn how to use the Vertex AI web console to create a custom machine learning model by training it with your own dataset.
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This clip is from the chapter "Vertex AI - Machine Learning Framework" of...

In this lab video, you will learn how to use the Vertex AI SDK and model registries to train and deploy custom machine learning models.
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This clip is from the chapter "Vertex AI - Machine Learning Framework" of the series...

In this video, we will embark on a small-scale case study and apply data science techniques and methodologies to analyze and gain insights from real-world data. You will learn to use Power BI's data science capabilities and Python...

In this video, let's do data science in Power BI: a little case study.
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This clip is from the chapter "Python Finance and Advanced DAX" of the series "Power BI Masterclass".In this section, we will be covering Python Finance...

In this video, we will be comparing NumPy array to Python list.
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This clip is from the chapter "NumPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section of the course, we will...

This video explains an example of lending club case study.<br<br/>/>

This clip is from the chapter "Exploratory Data Analysis (EDA)" of the series "Practical Data Science Using Python".This section explains Exploratory Data Analysis.

This video explains how to interact with R using vectors.
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This clip is from the chapter "Data Types and Structures in R" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This video...

This video explains vector naming.
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This clip is from the chapter "Data Types and Structures in R" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This video explains data types...

In this video, you will learn how to load in data using 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 talk about...

In this video, you will learn about a line chart.<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 guide to the course resources.
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This clip is from the chapter "Welcome and Logistics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".Welcome to the course! In this...

In this lab video, you will learn how to deploy a custom-trained model using the Vertex AI Python SDK.
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This clip is from the chapter "Vertex AI - Machine Learning Framework" of the series "Data Science Model Deployments and...

In this lab video, you will be reusing configuration files for pipeline execution and training.
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This clip is from the chapter "Vertex AI - Machine Learning Framework" of the series "Data Science Model Deployments and Cloud...

In this lab video, you will be adding the model evaluation step in Kubeflow before deployment.
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This clip is from the chapter "Vertex AI - Machine Learning Framework" of the series "Data Science Model Deployments and Cloud...