100 days to get the machine learning

100 days to get the machine learning

Hello, everyone, for 100 days 54 days before the machine learning is translated to Avik-Jain open source project 100-Days-Of-ML- Code of + own understanding
https://github.com/Avik-Jain/100-Days-Of -ML-Code
but this project to 54 days pigeon out, a great pity.
From day 55 on, I will continue to write this column.
Because before too many articles reference Avik-Jain, I will from time to time to reset the previous section. Welcome star,

Another: I welcome the attention of the public micro-channel number: the actual machine learning algorithms and Python

This column will be starting number to the public are also welcome to add my personal micro-channel, exchange, cooperation in this project can also be carried out in the end!

My personal micro-channel

Add Friend trouble NOTE: github

100 days to get the machine learning | Day1 data preprocessing

100 days to get the machine learning | Day2 simple linear regression analysis

100 days to get the machine learning | Day3 multiple linear regression

100 days to get the machine learning | Day4-6 logistic regression

100 days to get the machine learning | Day7 K-NN

100 days to get the machine learning | logistic regression mathematical principles Day8

100 days to get the machine learning | Day9-12 SVM

100 days to get the machine learning | Day11 achieve KNN

100 days to get the machine learning | Day13-14 SVM implementation

100 days to get the machine learning | Day15 naive Bayes

100 days to get the machine learning | Day16 achieved by SVM core skills

100 days to get the machine learning | Day17-18 magical logistic regression

100 days to get the machine learning | Day19-20 Caltech open class: Machine Learning and Data Mining

100 days to get the machine learning | Day21 Beautiful Soup

100 days to get the machine learning | Day22 machine Why can learn?

100 days to get the machine learning | Day23-25 ​​tree and Python implementation

100 days to get the machine learning | nature Day26-29 linear algebra

100 days to get the machine learning | calculus of nature Day 30-32

100 days to get the machine learning | Day33-34 random forest

100 days to get the machine learning | Day35 depth learning neural network structure

100 days to get the machine learning | Day36 depth gradient descent algorithm learning

100 days to get the machine learning | day37 no formula to understand the essence of the back-propagation algorithm

100 days to get the machine learning | day38 back-propagation algorithm is derived

100 days to get the machine learning | day39 Tensorflow Keras Digital Recognition

100 days to get the machine learning | day40-42 Tensorflow Keras identify cats and dogs

100 days to get the machine learning | day43 few GIF understand K- means clustering principle

100 days to get the machine learning | day44 k-means clustering mathematical derivation and realization python

100 days to get the machine learning | day45-53 "Python Data Science Handbook"

100 days to get the machine learning | day54 series clustering: hierarchical clustering principle and Case

100 days to get the machine learning | Day55 maximum entropy model

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Origin www.cnblogs.com/jpld/p/11895586.html