Deep Dive into Time Series Forecasting Part 2 - Complete ARIMA Modeling and Tests
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Live Session "Deep Dive into Time Series
Forecasting Part 2 - Complete ARIMA Modeling
and Tests"

  • Dive in deeper to study the ARIMA modeling used in Time Series Forecasting
    and the Tests with their application in real world.

By Selva Prabhakaran

  • English

  • May 14, Sunday - 11:00 IST

What you will learn

01

Complete understanding of the ARIMA Algorithm

02

Variations of ARIMA models, handling seasonality, exogenous variables

03

Statistician's method of finding p,d,q parameters

04

Post hoc analysis

05

How to extend and build Autoarima and fine tune.

06

Hands-on working session of model building process using Python - Statsmodels

Course Curriculum

Requirements

  • Courses Page1 Basics of Python
  • Courses Page1 Foundational knowledge of Data Science
  • Courses Page1 High school maths

Who should attend this course?

  • Data Science Aspirants

  • Data Science Professionals

  • Software/Data engineers interested in quantitative analysis

  • Professionals working with large datasets

  • Data analysts, economists, researchers

About the course

You will learn the following skills by the end of the course:

  • LightGBM
  • XGBoost Random
  • Forest Decision Tree
  • Logistic Regression
  • Hyperparameter
  • Tuning Feature Importance Confusion Matrix
  • ROC AUC
  • Concordance and Discordance
  • Precision Recall Curve
  • Capture Rates and Gains
  • Feature Engineering
  • Label Encoding
  • Frequency Encoding
  • Chi-Square test ANOVA test
  • Exploratory Data Analysis
  • Memory
  • Optimization
  • Data Preprocessing

Instructor

Selva Prabhakaran Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this project!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I’ve deployed 20+ global products. I’m also the Founder & Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of courses and projects with detailed explanations – just like an on the job experience. Hope you love it!

  • 4.5+Instructor rating

  • 200+ reviews

  • 10K+students

  • 15+ Courses

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