XGBoost Deep Dive w/ Python & Pandas | Hands-on Data Science

سرفصل های دوره

XGBoost, Python, Pandas, Feature Engineering, Machine Learning, Data Science, deep learning, NLP,Time Series Forecasting

1. Introduction

1. Introduction

2. Why XGBoost

3. XGBoost Intuition

2. Supervised Regression - Predict AirBnB Listing Prices with XGBoost

1. Supervised Regression Project

2. Dataset Overview

3. Target Variable Definition

4. List Categorical and Numeric Features

5. Numeric Feature Engineering with Pandas

6. Feature Engineering Categorical Variables

7. Feature Engineering Date Features

8. Code Clean-Up

9. Preprocess data with Pandas

10. TrainTest Split and Missing Values

11. One Hot Encoding

12. XGBoost Parameter Tuning and Model Training

3. Binary Classification Project

1. Introduction

2. Data Preprocessing with Pandas

3. Feature Engineering with Pandas

4. Manual Hyperparameter Tuning with XGBoost

5. Feature Importance and Cross Validation with XGBoost

6. Model Evaluation with AUC

7. Precision, Recall and F1-Scoreand Probability Cut-Offs

8. Choosing ONE Probability Cut-Offs

9. Automated Hyperparameter Tuning

4. Multi-Class Classification - Credit Score Classification

1. Multi Class Classification Project

2. Multi-Class Classification - Dataset Overview

3. Feature Engineering with Pandas

4. Feature Engineering with Pandas - 2

5. Train XGBoost Model - Credit Score Prediction

5. Text Multi-Class Classification

1. Text Multi-Class Classification Project

2. Data Preprocessing for Text Classification

3. Feature Engineering and Model Training

6. Time Series Forecasting with XGBoost

1. Time Series Forecasting with XGBoost

2. Time Series Forecasting - Daily Data

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تولید کننده: Udemy-Training