Home
Projects
Resources
Alternatives
Blog
Sign In
Savan77 Practical Machine Learning With Python
Save
Machine Learning Tutorials in Python
Overview
Reviews
Resources
Project README
Practical-Machine-Learning-with-Python
Machine Learning tutorials in Python
Part - 1
[
Theory
][
Code
]
What is Machine Learning and Types of Machine Learning?
Linear Regression
Gradient Descent
Logistic Regression
Overfitting and Underfitting
Regularization
Cross Validation
Part - 2
[
Theory and Code
]
Naive Bayes
Support Vector Machines
Decision Tree
Random Forest and Boosting algorithms
Preprocessing and Feature Extraction techniques
Part - 3
[
Theory and Code
]
K-nearest Neighbors Algorithm
K-means Clustering
Principal Component Analysis
Neural Networks
Part - 4
[
ipynb
]
Project - 1
Part - 5
Convolutional Neural Networks
Recurrent Neural Networks
Part - 6
Autoencoder
Denoising Autoencoder
Restricted Boltzmann Machine
Deep Belief Network
Part - 7
Generative Adversarial Networks
Variational Autoencoder
Part - 8
Project - 2
Open Source Agenda is not affiliated with "Savan77 Practical Machine Learning With Python" Project. README Source:
savan77/Practical-Machine-Learning-With-Python
Stars
189
Open Issues
0
Last Commit
3 years ago
Repository
savan77/Practical-Machine-Learning-With-Python
Homepage
https://savan77.github.io/blog.html
Tags
Machine Learning
Machine Learning Tutorials
Python
Scikit Learn
Tensorflow
Open Source Agenda Badge
Submit Review
Review Your Favorite Project
Submit Resource
Articles, Courses, Videos
Submit Article
Submit a post to our blog
From the blog
Dec 11, 2022
How to Choose Which Programming Language to Learn First?
From the blog
Dec 11, 2022
How to Choose Which Programming Language to Learn First?
Home
Projects
Resources
Alternatives
Blog
Sign In
Sign In to OSA
I agree with
Terms of Service
and
Privacy Policy
Sign In with Github