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Series 2 Intro

What Are Jupyter Notebooks

Intro To Anaconda And Conda

Intro To Anaconda And Conda Demo

Getting Started With Pandas

Getting Started With Pandas Demo

Examining Pandas Data Frame Contents

Examining Pandas Data Frame Contents demo

Query A Data Frame

Query A Data Frame Demo

CSV File And Jupyter Notebooks

CSV File And Jupyter Notebooks Demo

Read And Write CSV Files From Pandas Data Frames

Read And Write CSV Files From Pandas Data Frames Demo

Removing And Splitting Data Frame Columns

Removing And Splitting Data Frame Columns Demo

Handling Duplicates And Rows With Missing Values

Handling Duplicates And Rows With Missing Values Demo

Splitting Test And Training Data With Scikit-learn

Splitting Test And Training Data With Scikit-learn Demo

Train A Linear Regression Model With Scikit-Learn

Train A Linear Regression Model With Scikit-Learn Demo

Testing A Model

Testing A Model Demo

Evaluating Accuracy Of A Model Using Calculations

Evaluating Accuracy Of A Model Using Calculations Demo

Numpy Vs Pandas

Numpy Vs Pandas Demo

Visualizing DataWith Matplotlib

Visualizing DataWith Matplotlib Demo

Thank You!

Description:

Dive into data science and machine learning with Python in this comprehensive video series. Explore Jupyter Notebooks, Anaconda, and Conda for efficient development environments. Master Pandas for data manipulation, including querying data frames, handling CSV files, and managing missing values. Learn to split data for testing and training using Scikit-learn, train linear regression models, and evaluate their accuracy. Compare NumPy and Pandas functionalities, and visualize data using Matplotlib. Each topic is accompanied by practical demonstrations to reinforce your understanding of these essential data tools.

Even More Python for Beginners - Data Tools

Microsoft

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#Programming #Programming Languages #Python #Data Science #Computer Science #Machine Learning #Matplotlib #pandas #NumPy #scikit-learn #Jupyter Notebooks #Anaconda

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