Franklin Moormann

Results 88 comments of Franklin Moormann

@quiithub I'm the one who created that TV indicator script and that second smoothed EMA is the signal line. I kept the version here a bit different since I wasn't...

I could use some help in researching the differences with this output so I can figure it out if you don't mind. Franklin On Sun, Mar 26, 2023 at 11:33 ...

@algo0749 Can you please include more details for your issues such as the code you are using so I can help you look into this? Also please try the new...

No problem and glad it is working for you

# Junior Developer Implementation Guide: Issue #387 ## Overview **Issue**: Decision Trees and Random Forests **Goal**: Implement CART decision trees and Random Forest ensemble classifier **Difficulty**: Advanced **Estimated Time**: 14-18...

# Junior Developer Implementation Guide: Issue #386 ## Overview **Issue**: Ridge and Lasso Regression **Goal**: Implement regularized linear regression models (L2 and L1 regularization) **Difficulty**: Intermediate-Advanced **Estimated Time**: 10-14 hours...

# Junior Developer Implementation Guide: Issue #376 ## Overview **Issue**: Specialized Loss Functions Unit Tests **Goal**: Create comprehensive unit tests for specialized FitnessCalculators used in specific domains **Difficulty**: Intermediate **Estimated...

# Junior Developer Implementation Guide: Issue #392 ## Overview **Issue**: Ensemble Methods Implementation and Testing (Bagging, Boosting, Stacking) **Goal**: Create comprehensive implementations of ensemble learning methods with full unit test...

# Issue #397: Junior Developer Implementation Guide ## Audio AI Models (Wav2Vec2, Whisper, MusicGen) --- ## Table of Contents 1. [Understanding the Problem](#understanding-the-problem) 2. [Audio Processing Fundamentals](#audio-processing-fundamentals) 3. [Architecture Overview](#architecture-overview)...

# Issue #401: Reinforcement Learning (DQN, PPO, A3C) - Junior Developer Implementation Guide ## Overview Reinforcement Learning (RL) teaches agents to make decisions through trial and error, learning from rewards...