Online shopping is prevailing because it is convenient, saves time, and provides more options. The free-return policy motivates more… — Online shopping is prevailing because it is convenient, saves time, and provides more options. The free-return policy motivates more people to shop online. Especially during pandemic, online shopping dominates the commercial industry. Recommender system thus becomes more popular and critical for the success of online commercial businesses.

Online shopping is gaining popularity these days, especially during pandemic. This post presents a project that applies Random Forest… — Online shopping is gaining popularity these days, especially during pandemic. This post presents a project that applies Random Forest, Logistic Regression, Gradient Boost, XGBoost, and Neural Network. The data is downloaded from Kaggle. First, lets understand the outcome variable and the features in the dataset.

This this post, I am going to share 10 useful codes or functions in python for data precessing. — This this post, I am going to share 10 useful codes or functions in python for data precessing. Reverse a list or string Python has a unique function of -1 to retrieve the last element from a list or string, or to reverse the string or list. Reversing can be…

Long Short Term Memory model (LSTM) is a recurrent neural networks (RNN). RNN is a type of neural network that is powerful for modeling… — Long Short Term Memory model (LSTM) is a recurrent neural networks (RNN). RNN is a type of neural network that is powerful for modeling sequence data such as time series, natural language, or speech recognition. In RNN, connections between nodes form a directed graph along a temporal sequence, which allows…

Today, I will continue with the last two posts, and introduce more basic concepts in Time series forecasting. — Today, I will continue with the last two posts, and introduce more basic concepts in Time series forecasting. Some Basic Concepts About Time Series (1) Some Basic Concept About Time Series (2) Decomposition Time series has four components: Observation: the baseline value for the series Trend: the trend line over time

In my last post, I talked about some basic concept of time series, for example, components of time series data, feature engineering, and… — In my last post, I talked about some basic concept of time series, for example, components of time series data, feature engineering, and visualization. This post is the second part of introducing some fundamental concepts about time series and ARIMA model. The data we will use in the ARIMA model…

Time series is a very important area in machine learning. As the name shows, time series model involves a time component, and the… — Time series is a very important area in machine learning. As the name shows, time series model involves a time component, and the component of time makes time series problems hard to tackle. Time series adds on a time dimension that takes time order sequentially. Normally the current time is…

Machine learning and big data are both popular and attractive in the real world applications. Everyone is excited about machine learning… — Machine learning and big data are both popular and attractive in the real world applications. Everyone is excited about machine learning and big data, especially when machine learning meets big data. It should be a perfect combination because theoretically more data, machine learning algorithms can better learn the representations and…

Probability distribution is a fundamental and critical concept in statistics and data science. This article is aiming to provide a summary… — Probability distribution is a fundamental and critical concept in statistics and data science. This article is aiming to provide a summary of probability distribution and its applications. The post includes: what is probability distribution types of probability distribution