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Series articles Chapter VIII Teach you hand in hand: Stock Forecasting System Based on LSTMChapter VII Teach you by hand: fruit classification and recognition system based on depth residual network (ResNet)Chapter VI Hand in hand teach you: face recognition video coding 1, Project introduction This paper mainly introduces how to us ...

Random grid search RandomSearchCV learning notes, including: Basic principle of random grid searchskelarn application of random grid search (case: house price dataset _python)Application of continuous distribution in random grid search (case: house price data set _python) Indexes 🔣 Functions and parameters 🔑 formula 🗣 case 📌 Noun i ...

1, Data set description 1. Data set Tabular Playground Series - Feb 2022 | KagglePractice your ML skills on this approachable dataset!https://www.kaggle.com/c/tabular-playground-series-feb-2022/data For this challenge, you will predict bacterial species based on repeated lossy measurements of DNA fragments. The fragment with length of 10 is ...

Original link: http://tecdat.cn/?p=3385Original source: Tuo end data tribal official accountRecently, I was asked to write a copulas survey on financial time series. Obtain the description of various models from the read data, including some graphics and statistical output.> oil = read.xlsx(temp，sheetName ="DATA"，dec ="，")Then we can draw ...

0. Preface Tensorflow is an open source machine learning framework based on Python. It is developed by Google and has rich applications in graphics classification, audio processing, recommendation system and natural language processing. It is one of the most popular machine learning frameworks at present. TensorFlow2.0 was released in Octobe ...

Kaggle Titanic (1) Question: On April 15, 1912, the Titanic sank, and everyone on board did not have enough lifeboats, resulting in the death of 1502 of the 2224 passengers and crew. Although there are some luck factors in surviving, it seems that some people are more likely to survive than others. Build a prediction model to answer the quest ...

This article will summarize the time series prediction methods, introduce all methods in categories and provide corresponding python code examples. The following is the list of methods to be introduced in this article:1. Time series prediction using smoothing techniqueexponential smoothing Holt winters method2. Univariate time series prediction ...

We will build a logistic regression model to predict whether a student is admitted to the University. Suppose you are an administrator of a university department. You want to decide the admission opportunity of each applicant according to the results of two exams. You have the historical data of previous applicants, and you can use it as th ...

In RNA SEQ, principal component analysis (PCA) is one of the most common types of multivariate data analysis. This issue mainly introduces how to analyze using the existing expression difference data. Don't worry, see below. 1. Preface 1. Relevant background In RNA SEQ, principal component analysis (PCA) is one of the most common types of mu ...

K-nearest neighbor algorithm K-nearest neighbor algorithm (KNN) is a basic classification and regression method proposed in 1967. The working principle is: there is a sample data set, also known as the training sample set, and each data in the sample set has a label, that is, we know the corresponding relationship between each data in the samp ...