Kaggle案例实战: 如何由浅及深上手 Kaggle Dataset and Leader board 01:33:44 XGBoost与LightGBM 数据科学家常用工具大PK——性能与结构 55:11 Kaggle竞赛实例: 泰坦尼克Titanic数据分析——Kaggle Competition 从小白到金牌 01:04:10 Deep Learning for Recommendation基于深度学习的推荐系统 01:26:25 Bayesian...
Data Science followed by Logistic Regression with Titanic. This was done with the help of our online self-learning platform:http://refactored.aiYou can still sign up, do theworkshop,and provide feedback on our platform. Here we are presenting the example problem with visualization in Seaborn....
Python Visualization and EDA - Titanic Data auto_awesome_motion View Active Events mohammed faizan cbit·3mo ago· 24 views arrow_drop_up0 Copy & Edit4 more_vert Copied from Syed Zohaib Ali NotebookInputOutputLogsComments (0)
Runtime play_arrow 24s Language Python License This Notebook has been released under the Apache 2.0 open source license. Continue exploring Input1 file arrow_right_alt Output0 files arrow_right_alt Logs24.5 second run - failure arrow_right_alt Comments0 comments arrow_right_alt...
In this article, we explored an interesting dataset brought to us by Kaggle. We went through the basic bricks of a data science pipeline: Data exploration and visualization: an initial step to formulate hypotheses Data cleaning Feature engineering Feature selection Hyperparameters tuning Submission ...
The Embarked feature has only 2 missing values, which can easily be filled. It will be much more tricky, to deal with the ‘Age’ feature, which has 177 missing values. The ‘Cabin’ feature needs further investigation, but it looks like that we might want to drop it from the dataset,...
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pythondata-sciencedata-visualizationtitanic-datasetcovid19-data UpdatedOct 14, 2023 Jupyter Notebook Data visualization tool for the Titanic dataset developed in Unity3D for the course Interaction in Mixed Reality Spaces at the University of Konstanz. ...
Visualization: Matplotlib, Seaborn 🚀 Setup Instructions 1️⃣ Clone the Repository git clone https://github.com/your-username/Titanic-Bot.git cd Titanic-Bot 2️⃣ Create a Virtual Environment python -m venv venv source venv/bin/activate # On macOS/Linux venv\Scripts\activate # On Wind...
2. 探索性可视化(Exploratory Visualization) 3. 特征工程(Feature Engineering) 4. 基本建模&评估(Basic Modeling& Evaluation) 5. 参数调整(Hyperparameters Tuning) 6. 集成方法(EnsembleMethods) 3.先熟悉数据: train=pd.read_csv('F:/kaggle/titanic/train.csv') test=pd.read_csv('F:/kaggle/titanic/test...