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Table of Contents

Machine Learning

◻️Foundations of machine learning, from Bloomberg ML EDU: Understand the Concepts, Techniques and Mathematical Frameworks Used by Experts in Machine Learning

◻️Seed Bank

◻️100 Days of ML Code

◻️How decision tree work

◻️Python codes for common Machine Learning Algorithms

◻️“Diving deeper into Reinforcement Learning with Q-Learning”

◻️“An introduction to Deep Q-Learning: let’s play Doom”

◻️“Improvements in Deep Q Learning: Dueling Double DQN, Prioritized Experience Replay, and fixed Q-targets”

◻️LightGBM, Light Gradient Boosting Machine: LightGBM is a gradient boosting framework that uses tree based learning algorithms.

◻️More Effective Ridge LGBM Script

◻️Feature Engineering - Getting most out of data for predictive models

◻️Mercari Price Suggestion Challenge

◻️How I lost a silver medal in Kaggle’s Mercari Price Suggestion Challenge using CNNs and Tensorflow

◻️Mercari Price Prediction: CNN with GloVE (end-to-end single model)

◻️Machine Learning for Retail Price Recommendation with Python

◻️Report on Text Classification using CNN, RNN & HAN

◻️GOTURN : Deep Learning based Object Tracking

◻️OpenCV GOTURN Tracker Example (Python/C++)

◻️Feature Visualization: How neural networks build up their understanding of images

Command Line

◻️Introduce AWK

◻️Input/Output Redirection in the Shell

Python

◻️Geek Computers Python Example