GitHub - narenakash/Machine-Data-and-Learning: TLDR: Generic Algorithms, Decision Trees, Value Iteration, POMDPs, Bias-Variance. Data preprocessing using statistical techniques and visualization is crucial to understand and analyze the data before utilizing them to train a machine learning model. Several fundamental techniques for preprocessing are presented here.

narenakash / Machine-Data-and-Learning Public

Notifications You must be signed in to change notification settings
Fork 0
Star 0

TLDR: Generic Algorithms, Decision Trees, Value Iteration, POMDPs, Bias-Variance. Data preprocessing using statistical techniques and visualization is crucial to understand and analyze the data before utilizing them to train a machine learning model. Several fundamental techniques for preprocessing are presented here.

0 stars 0 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 36 Commits
Assignment 01: Bias-Variance Tradeoff		Assignment 01: Bias-Variance Tradeoff
Assignment 02B: Value Iteration in Reinforcement Learning		Assignment 02B: Value Iteration in Reinforcement Learning
Assignment 02C: Linear Programming and Markov Decision Process		Assignment 02C: Linear Programming and Markov Decision Process
Assignment 03: Genetic Algorithms		Assignment 03: Genetic Algorithms
Assignment 05: Partially Observable Markov Decision Processes		Assignment 05: Partially Observable Markov Decision Processes