Coldstart.ml

The Golden path to become A Full-stuck Data Scientist who can work for the real industry task from

#02 Feature Engineering: Principles for choosing right features

機械学習の特徴量生成における大原則

#06 Model Validation: Practical Metric Lists only you need to know

モデルの評価指標まとめ

Focus on solving real business tasks: Your First Implementation of Machine Learning. #Coldstart.ml

The comprehensive NLP preprocessing list and simplest code-kit #ShortcutNLP

自然言語処理の前処理リスト

#03 Data Visualization: show your skill of storytelling from data

データの可視化と分析結果を伝える力

#08 Gradient Descent Algorithm Optimization Recipes #ShortcutML

勾配降下法の最適化アルゴリズム

#05 Model Application: How to compare and choose the best ML model

モデルの比較と選び方

#07 Hyperparameter Tuning: a final method to improve model accuracy

超パラメータのチューニング