Basic process of logistic regression and actual combat of iris project
1, Basic process of logistic regression
1. Logistic regression
Learn the law from multiple eigenvalues of a group of samples, establish a model (the learning model is abstracted as a formula f(x)), and use this model to predict the results of other samples. Logistic regression is to classify the prediction results.
Logistic regression steps:
(1 ...
Posted by McMaster on Sun, 22 May 2022 15:13:52 +0300
SVD and CUR self summary
SVD and CUR self summary
reference resources: https://www.cnblogs.com/endlesscoding/p/10033527.html https://blog.csdn.net/WangWeb1998/article/details/114376298
1. SVD (singular value decomposition)
definition: There is one
m
×
n
...
Posted by shruti on Sat, 21 May 2022 02:38:13 +0300
Kaggle Titanic Survival Prediction Challenge - Model Building, Model Tuning, Fusion
Kaggle Titanic Survival Prediction Challenge
This is the Prediction Competition of Getting Started on kaggle. It is also a relatively entry-level and simple rookie competition. My best score seems to be in the top 8%. Taking advantage of this learning activity of Datawhale, I used the content of the data for the data analysis of the competi ...
Posted by ioop on Fri, 20 May 2022 12:18:57 +0300
[Flying Paddle] Target Detection YOLO-V3 Study Notes
Before learning this course, I heard the name of YOLO. During the epidemic, an up master trained the detection of pedestrian masks through yolo and it was a great success. Without further ado, let's start learning.
Basic Concepts in Object Detection
Before starting to learn YOLO, first learn some basic concepts of target detection. After all, Y ...
Posted by Pro Ninja on Fri, 20 May 2022 08:48:32 +0300
Python 3.11 is 60% faster than 3.10: using bubble sorting and recursive function comparison test
Python 3.11 pre release has been released. The update log mentions:Python 3.11 is up to 10–60% faster than Python 3.10. On average, we measured a 1.25x speedup on the standard benchmark suite. See Faster CPython for details. — Python 3.11 Changelog.The speed of Python in the production system has always been compared and roast by novices., Beca ...
Posted by netcoord99 on Wed, 18 May 2022 09:01:12 +0300
Application case of machine learning logistic regression algorithm
Application case of machine learning logistic regression algorithm
Time: September 12, 2020 source: https://www.kesci.com/home/project/5bfe39b3954d6e0010681cd1 Note: for beginners of logical regression, I followed the blog boss's article and left a record for later reading, which is also for everyone to learn..
1. Data
This data is Kaggle's ...
Posted by savj14 on Wed, 18 May 2022 07:40:03 +0300
Bayesian experiment report
1, Experimental purpose
Learn how to infer the behavior model and solve the problem by using the short message mca-3.
2, Experiment contents and steps (including problems, codes, results and conclusions)
2.1 SMS data inference behavior
Title:
code:
Data reading and display:
import pymc3 as pm
import matplotlib.pyplot as plt
import nump ...
Posted by GYK on Mon, 16 May 2022 22:26:11 +0300
A few lines of code to easily realize the task of target detection and image classification -- building an enterprise machine learning micro service based on Spring Boot and DJL
Now there seems to be a trend in the field of AI applications. Most learning applications are in Python. Spring Boot is an open source platform widely used in the field of microservices. Users can use Stock API to create an RPC API based on C + + or Python applications to realize reasoning tasks in different languages. However, this will bring ...
Posted by UKlee on Mon, 16 May 2022 07:22:16 +0300
Neural Networks to Solve Multi-Classification Problems Example: Digit Recognition
content
Neural Networks to Solve Multi-Classification Problems Example: Digit Recognition
1. Visualizing the data
2. Designing Nural Network
3. Write the cost function calculation function (nnCostFunction)
3.1 Implement the necessary tool functions
3.2 Normalized matrix definition
3.3 Implement forward propagation (Feedforward)
3.4 Implemen ...
Posted by jaoudestudios on Mon, 16 May 2022 01:00:12 +0300
NLP learning - text classification of NLP practice - Chinese spam classification - Python 3
1, Implementation steps of text classification:
Definition stage: define the data and classification system, which categories are divided and which data are needed Data preprocessing: prepare documents for word segmentation and de stop words Data extraction features: reduce the dimension of the document matrix and extract the most useful featu ...
Posted by lucerias on Mon, 16 May 2022 00:57:33 +0300