Introduction to Feature Engineering

Contents0.1 Introduction0.2 What is feature engineering?0.3 Feature engineering process.0.3.1 The steps of a feature engineering process are:1 Mindset and consideration for feature engineering1.0.1 Mindset1.0.2 Consideration1.0.3 They also showcase another example to present these points:1.1 Feature engineering techniques’ introduction by following an example Introduction In a modeling process, there are 3 core concepts that will always …

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[Hiring] Data Scientist / Engineering Internship

Contents1   [Hiring]Data Scientist / Engineer Internship1.1 If you want to join in exciting and challenging projects, MTI Tech could be the next destination to your career path.2 Job Description3 Who we are looking for?3.1 Programming Language3.2 Operational Environment4 What is it like to work in MTI Technology AI Lab?5 Contact Form6 Hiring Data Scientist / …

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[Tuyển dụng] Tiến Sĩ Khoa Học Dữ Liệu tại Việt Nam – Data Scientist

Contents1 Liên Hệ2 Công việc3 Ví Dụ về Dữ Liệu4 Ví dụ về Ứng Dụng5 Ngôn ngữ Lập Trình Công ty chúng tôi hiện đang tuyển dụng vị trí nhà Khoa Học Dữ Liệu tại Việt Nam. Nhiều dự án hấp dẫn và thách thức đang đợi các bạn, công ty MTI Technology sẽ giúp …

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Investigating Methods of Handling Missing Data

Contents1 Handling Missing Data – Abstract1.1 Introduction – Handling Missing Data1.2 Handling Missing Data1.2.1 Ignoring1.2.2 Removing (Deletion)1.2.3 Imputation (Fill-in)1.3 Experiment1.4 Results and Discussion1.4.1 The affection of Missing Data Amount1.5 The affection of Missing Generator and Handling Method1.5.0.1 Handling by Mean Imputation1.5.0.2 Handling by Listwise Deletion1.6 Recap1.7 Reference1.8 Data Science Blog1.9 Hiring Data Scientist / Engineer1.10 AI …

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Causal inference and potential outcome framework

Contents1 1.Causality terminology2 2 .Potential Outcomes Framework2.1 2.1       Introduction2.2 2.2       Counterfactual2.3 2.3       Confounding2.4 2.4       Measuring the Average Causal Effect3 3.References4 Data Science Blog5 Hiring Data Scientist / Engineer6 AI / Data Science Project7 Vietnam AI / Data Science Lab In this blog, we would like to introduce basic concepts in causal inference and the potential …

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Word Embeddings – blessing or curse in disguise?

Contents1 How do we know when we have trained a good embedding? 1.1 Our setup is as follows:  As word embeddings become more and more ubiquitous in language applications, a key issue has likewise emerged. The ability of embeddings to learn complex, underlying relationships between words is also their greatest caveat: How do we know when we have …

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Pre-processing Data

Contents0.0.1 https://www.kaggle.com/kaggle/recipe-ingredients-dataset1 1.  Data Exploration and Pre-processing In Data Science, before building a predictive model from a particular data set, it is important to explore and perform pre-processing data.  In this blog, we will illustrate some typical steps in data pre-processing. In this particular exercise, we will build a simple Decision Tree model to classify …

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