Easy STRUCTURED PATH to become high-paid Data Scientist (includes projects)

Visualization with Python (Pandas)

If you want to create high impact visuals..

..without the hassle of reading complicated articles

..Then go through my easy '9-Days Lesson' below

Day 1: Matplotlib - Getting Started

In this one, you will get a perspective of what ARIMA is all about.  And when you can and cannot use this model.

You’ll also understand the parameters of ARIMA model.

Day 2: Matplotlib- Plot components

After you have a stationary time-series, you can either go for AR model or MA model.  Or you can combine both into an ARMA and ARIMA. 

AR means auto-regressive model. Learn how to build auto-regressive model and understand PACF in depth.

Day 3: Matplotlib- Subplots

MA stands for moving average of the error terms.
 
Learn the detailed equation, and how to use ACF chart wrt MA models.

 

 

Day 4: Matplotlib- Annotations

Use the data of restaurant visitor (data is part of project course), and split it into train and test data.

Learn how to implement ARIMA on this data set and compare the results.

Day 5: Dual Axis Line Plots

Use the PACF and ACF plots to iterate between the parameters of ARIMA.

Check results of the model. And learn how to interpret and improve the forecast.

Dual Axis Line Plots

Day 6: Bar Charts

As a part of Restaurant Visitor Forecasting project course, learn all time series concepts from scratch (zero experience needed) and apply them across multiple approaches.

Check out the complete time series concepts + projects course

Day 7: Histograms & Density Plots

As a part of Restaurant Visitor Forecasting project course, learn all time series concepts from scratch (zero experience needed) and apply them across multiple approaches.

Check out the complete time series concepts + projects course

Histogram and Density Plots

Day 8: Regression Plots

As a part of Restaurant Visitor Forecasting project course, learn all time series concepts from scratch (zero experience needed) and apply them across multiple approaches.

Check out the complete time series concepts + projects course

Regression Plots

Day 9: Pair Plots

As a part of Restaurant Visitor Forecasting project course, learn all time series concepts from scratch (zero experience needed) and apply them across multiple approaches.

Check out the complete time series concepts + projects course

Pair Plots
Course Preview

Machine Learning A-Z™: Hands-On Python & R In Data Science

Free Sample Videos:

Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science