Realize high-precision automatic lithofacies analysis based on flying propeller and help oil and gas field exploration and development design
1. General
1.1 industry background and pain points
Lithofacies analysis is a research work based on the microscopic description and classification of rock slices. It is also an important technology in the study of sedimentation and diagenesis. It has a basic guiding position for the engineering practice of oil and gas exploration and developm ...
Posted by kernelgpf on Thu, 17 Feb 2022 12:26:31 +0100
[Python 3] credit card fraud detection based on logistic regression
preface
The actual combat series of this project is mainly based on the tutorials on the network. It mainly refers to the ideas and specific implementation codes in learning machine learning with Digo. However, the version used in the book should be python2. Some codes also have problems, some key steps are omitted, and some are syntax problem ...
Posted by journeyman73 on Thu, 17 Feb 2022 09:37:14 +0100
Machine learning notes (univariate linear regression)
scenario analysis
Suppose the price of article a is 20.22 yuan / kg in 2000, 20.32 yuan / kg in 2001 and 21.01 yuan / kg in 2002. The middle price is omitted. Please predict the price of article a in 2022?This is a very simple linear regression case. We all know that we can predict the price in 2022 by drawing a straight line. So how to find ...
Posted by mattbarber on Thu, 17 Feb 2022 08:56:31 +0100
LightGBM (gradient lifting framework) of machine learning classification algorithm
catalogue
Walk into LightGBM
What is LightGBM?
Disadvantages of XGBoost
Optimization of LightGBM
Basic principles of LightGBM
Histogram algorithm
Histogram acceleration
LightGBM parallel optimization
Practice code
Detailed explanation of parameters
Code practice
Optimal model and parameters (dataset 1000)
Model tuning
Every word
...
Posted by raguskra on Thu, 17 Feb 2022 02:14:15 +0100
pandas study notes
Basic data structure
1. Series
For a Series, the most commonly used attributes are values, index, name, and dtype
s = pd.Series(np.random.randn(5),index=['a','b','c','d','e'],name='This is a Series',dtype='float64')
s
a -0.152799
b -1.208334
c 0.668842
d 1.547519
e 0.309276
Name: This is a Series, dtype: float64
Accessing Ser ...
Posted by Heywood on Wed, 16 Feb 2022 20:25:43 +0100
Machine learning algorithm series - Decision Tree Learning Algorithm
Background knowledge required for reading this article: first, lose programming knowledge1, Introduction in life, every time we arrive at the meal point, we will silently recite in our hearts, "what are you going to eat later?", Maybe we don't want to go far after working all day today. At this time, we will decide that th ...
Posted by tomfmason on Wed, 16 Feb 2022 08:43:29 +0100
PyTorch | how to save and load the PyTorch model?
preface
This article is reproduced in PyTorch deep analysis: how to save and load PyTorch model?
The saving and loading methods of PyTorch model are explained in detail.
catalogue
preface
1. You need to master three important functions
2 state_dict
2.1 state_ Introduction to Dict
2.2 saving and loading state_dict (already trained, no ...
Posted by mobilephp on Tue, 15 Feb 2022 05:19:15 +0100
Kaggle time series tutorial 3 - seasonality
What is seasonality?
As long as the average value of the series changes regularly and periodically, we say that the time series shows seasonality. Seasonal changes usually follow the clock and calendar - usually a repetition of a day, week, or year. Seasonality is usually driven by the cycle of nature in a few days and years or social behavior ...
Posted by roach on Tue, 15 Feb 2022 04:39:48 +0100
GEE series: unit 8 time series analysis in Google Earth engine [time series]
Unit 8: time series analysis in Google Earth engine
1 Introduction
In this module, we will discuss the following concepts:
Process remote sensing images of the ocean. Create a video from an image time series. Time series analysis in GEE. Add basic elements to the graphical user interface.
2 background
The Deepwat ...
Posted by lynxus on Tue, 15 Feb 2022 02:33:56 +0100
Introduction to deep learning - initial value of weight (Xavier,He initial value, distribution of activation function value of hidden layer)
Initial value of weight
(the pit here is too deep. This article is just an introduction to in-depth learning and will not pursue theory in detail)
In the learning of neural network, the initial value of weight is particularly important. In fact, what kind of weight initial value is set is often related to the success of neural network lea ...
Posted by mikesta707 on Mon, 14 Feb 2022 12:57:56 +0100