Deep Learning - Heuristics with RLive Class
Stay ahead of the curve with our live class on Deep Learning: Heuristics with R. This Deep Learning training is intended to stress a syntactical approach to R's syntax and commands pertinent to high-end quantitative and regression modeling techniques on datasets from non-finance, cryptocurrency, and other relevant areas.
It includes 5+ daily live classes with over 10 hours of content taught and lifetime access to session recordings.
Includes:
- 41162 ratings
Key Features
Live Online Classes PREFERRED
Overview
Our Deep Learning - Heuristics with R. Training Live Online Classes contain over 4 hours of comprehensive, interactive, and instructor-led training. You will master a syntactical approach to R's syntax as well as commands for high-end quantitative and regression modeling techniques on datasets from non-finance, cryptocurrency, and other related industries.
Live Online Classes Curriculum
- 1 – Experimental Design: Heuristics - Project 1 – Agriculture
- Creating R project folder, setting working directory and environment
- Creating data frames for datasets, identifying/assigning variables
- Generating descriptive outputs
- 2 – Experimental Design: Heuristics - Project 2 – Cryptocurrencies
- Generating descriptive outputs
- Implementing correlation matrices using Pearson’s method
- Generating scatter plots and line of fit
- 3 – Experimental Design: Heuristics - Project 2 – Cryptocurrencies contd.
- Implementing correlation matrices using Pearson, Spearman techniques
- Generating line graphs
- Generating scatter plots and line of fit
- 4 – Experimental Design: Heuristics - Project 3 – Energy Sector
- Implementing Linear regression modeling
- Syntax and commands for linear regression model
- Generate outputs
- Analyzing and interpreting estimates
- Generating scatter plots with regression line of fit
- 5 – Experimental Design: Heuristics - Project 4 – Financial Markets
- Implementing Multiple Regression Modeling
- Syntax and commands for correlations
- Generate outputs
- Analyzing and interpreting estimates
- Generating scatter plots for regression line of fit
IN : +91-7738666252