Themabewertung:
  • 0 Bewertung(en) - 0 im Durchschnitt
  • 1
  • 2
  • 3
  • 4
  • 5
Machine Learning with Python: SVM, Kmeans, KNN, LinReg, PCA, DBS
#1
[Bild: 0085b702rtkc5.jpg]

Machine Learning with Python: SVM, Kmeans, KNN, LinReg, PCA, DBS
Created by Shrirang Korde | Last updated 5/2021
Duration: 14h 30m | 4 sections | 55 lectures | Video: 1280x720, 44 KHz | 6.67 GB
Genre: eLearning | Language: English + Sub

Hands-on Machine Learning



What you'll learn
Applications of Machine Learning to various data, Unsupervised Learning, Supervised Learning

Requirements
simple programming knowledge is added advantage

Description
The course covers Machine Learning in exhaustive way. The presentations and hands-on practical are made such that it's made easy. The knowledge gained through this tutorial series can be applied to various real world scenarios.
UnSupervised learning does not require to supervise the model. Instead, it allows the model to work on its own to discover patterns and information that was previously undetected. It mainly deals with the unlabeled data. The machine is forced to build a compact internal representation of its world and then generate imaginative content.
Supervised learning deals with providing input data as well as correct output data to the machine learning model. The goal of a supervised learning algorithm is to find a mapping function to map the input with the output. It infers a function from labeled training data consisting of a set of training examples.
UnSupervised Learning and Supervised Learning are dealt in-detail with lots of bonus topics.
The course contents are given below:
Introduction to Machine Learning
Introductions to Deep Learning
Installations
Unsupervised Learning
Clustering, Association
Agglomerative, Hands-on
DBSCAN, Hands-on
Mean Shift, Hands-on
K Means, Hands-on
Association Rules, Hands-on
(PCA: Principal Component Analysis)
Supervised Learning
Regression, Classification
Train Test Split, Hands-on
k Nearest Neighbors, Hands-on
kNN Algo Implementation
Support Vector Machine (SVM), Hands-on
Support Vector Regression (SVR), Hands-on
SVM (non linear svm params), Hands-on
SVM kernel trick, Hands-on
SVM mathematics
Linear Regression, Hands-on
Gradient Descent overview
One Hot Encoding (Dummy vars)
One Hot Encoding with Linear Regr, Hands-on
Info about Datasets

[Bild: 18.numpywithpracticalujkrw.jpg]
Download from Nitroflare:


Download from Rapidgator:
Zitieren


Nachrichten in diesem Thema
Machine Learning with Python: SVM, Kmeans, KNN, LinReg, PCA, DBS - von Panter - 14.07.2021, 19:27

Möglicherweise verwandte Themen…
Thema Verfasser Antworten Ansichten Letzter Beitrag
  Data Science, AI, and Machine Learning with R Panter 0 71 29.08.2024, 12:28
Letzter Beitrag: Panter
  Complete A.I. & Machine Learning, Data Science Bootcamp Panter 0 109 29.07.2024, 14:50
Letzter Beitrag: Panter
  Data Science and Machine Learning Fundamentals [2024] Panter 0 109 29.07.2024, 14:44
Letzter Beitrag: Panter
  Complete Machine Learning,NLP Bootcamp MLOPS & Deployment Panter 0 112 14.07.2024, 21:24
Letzter Beitrag: Panter
  Data Science, AI, Machine Learning with Python Panter 0 102 14.07.2024, 21:19
Letzter Beitrag: Panter
  Build 75 Powerful Data Science & Machine Learning Projects Panter 0 99 26.06.2024, 08:29
Letzter Beitrag: Panter

Gehe zu:


Benutzer, die gerade dieses Thema anschauen: 1 Gast/Gäste
Expand chat