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In this project series, we will learn how to visualize data using different python visualization libraries such as Matplotlib and Seaborn. We will also look at how to extract, clean, transform, and load the data from different files into Dataframes. Dataframes are special data structures used specifically for storing data and helps us to visualize it. You will also learn how to use the Pandas library along with Matplotlib and Seaborn to create stunning dashboards. You will learn How to plot different types of Plots, Charts, Graphs, and also customize them as per your requirements. While learning Data Science it's always the best thing to solve case studies in order to grasp the concepts more effectively.
Session 01 How to Install Matplotlib library and Draw your First Plot
https://www.youtube.com/watch?v=bhnPQb6ERv8&list=PLQbzkJk10-f74YP-Bc59KChPK4QiEsCnS&index=3
Session 02 Using different format strings and Styles in Matplotlib Plots
https://www.youtube.com/watch?v=BL07rAcDINg&list=PLQbzkJk10-f74YP-Bc59KChPK4QiEsCnS&index=4
Session 03 Create Subplots and Plotting Vertical Bar plots
https://www.youtube.com/watch?v=u-HcFzo5zmk&list=PLQbzkJk10-f74YP-Bc59KChPK4QiEsCnS&index=5
Session 04 Plotting Pie Charts using Matplotlib Library
https://www.youtube.com/watch?v=GfSbQZI5wtU&list=PLQbzkJk10-f74YP-Bc59KChPK4QiEsCnS&index=6
Session 05 Plotting Stack Plots and Area Plots using Matplotlib Library
https://www.youtube.com/watch?v=NUshssvKV60&list=PLQbzkJk10-f74YP-Bc59KChPK4QiEsCnS&index=7
Session 06 Plotting Histograms using Matplotlib Libraryhttps://www.youtube.com/watch?v=-Gyqp_yOPsA&list=PLQbzkJk10-f74YP-Bc59KChPK4QiEsCnS&index=8
Session 07 Pandas data frame visualization using Matplotlib Library
https://www.youtube.com/watch?v=-NkifcdcY8Q&list=PLQbzkJk10-f74YP-Bc59KChPK4QiEsCnS&index=9
Session 08 Plotting Numerical, Categorical variables of Panda’s data frame using Matplotlib Library
https://www.youtube.com/watch?v=Q3_g7FzYxCw&list=PLQbzkJk10-f74YP-Bc59KChPK4QiEsCnS&index=10
Session 09 How to fill Missing Numerical values in the Pandas Dataframes
https://www.youtube.com/watch?v=aeciHmNqb_c&list=PLQbzkJk10-f74YP-Bc59KChPK4QiEsCnS&index=11
Session 10 How to fill Missing Categorical values in the Pandas Dataframes
https://www.youtube.com/watch?v=MHncX82wBpA&list=PLQbzkJk10-f74YP-Bc59KChPK4QiEsCnS&index=12
Session 11 Data Visualization using Seaborn Library Part 1
https://www.youtube.com/watch?v=WIHIKjy89og&list=PLQbzkJk10-f74YP-Bc59KChPK4QiEsCnS&index=14
Session 12 Data Visualization using Seaborn Library Part 2
https://www.youtube.com/watch?v=slzgpFR4Zj8&list=PLQbzkJk10-f74YP-Bc59KChPK4QiEsCnS&index=14
Session 13 Data Visualization using Seaborn Library Part 3
https://www.youtube.com/watch?v=AFAtodN7lY4&list=PLQbzkJk10-f74YP-Bc59KChPK4QiEsCnS&index=15
Session 14 Case Study - Classify Personal Income
https://www.youtube.com/watch?v=l3sJwKIJRIg&list=PLQbzkJk10-f74YP-Bc59KChPK4QiEsCnS&index=16
Session 15 Classifying Personal Income and Doing Bivariate analysis
https://www.youtube.com/watch?v=L0VYUCb0fxI&list=PLQbzkJk10-f74YP-Bc59KChPK4QiEsCnS&index=17
Session 16 Using Logistic Regression Model
https://www.youtube.com/watch?v=gUjUc-niDUU&list=PLQbzkJk10-f74YP-Bc59KChPK4QiEsCnS&index=18
Session 17 Validating Model accuracy and confusion
https://www.youtube.com/watch?v=bSTUo7OzVnI&list=PLQbzkJk10-f74YP-Bc59KChPK4QiEsCnS&index=19
Session 18 Removing Insignificant Variables and Building KNN classifier
https://www.youtube.com/watch?v=2LRA2WVfxeo&list=PLQbzkJk10-f74YP-Bc59KChPK4QiEsCnS&index=20
Session 19 Improving KNN Model Accuracy and Intro to Case Study 2
https://www.youtube.com/watch?v=7s48auRb00Y&list=PLQbzkJk10-f74YP-Bc59KChPK4QiEsCnS&index=21
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