Even More Python for Beginners - Data Tools

Overview

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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.

Syllabus

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!.