Implementing Commonly Used Machine Learning Algorithms using Scikit-Learn (2021)



Welcome to this video on machine learning. 1 – What Are The Prerequisites For Machine Learning?
2 – Linear Regression References – a.https://towardsdatascience.com/linear-regression-detailed-view-ea73175f6e86 b. https://brilliant.org/wiki/linear-regression
3 – Linear Regression Python Implementation with Scikit-Learn Introduction To Linear Regression : https://tinyurl.com/lregfull Link To GitHub Repo : https://tinyurl.com/lregsci Blog for code reference : https://tinyurl.com/bloglrimplemen
4 – Logistic Regression in Machine Learning Blog for references : a. https://www.internalpointers.com/post/cost-function-logistic-regression b. https://www.geeksforgeeks.org/understanding-logistic-regression/ c. https://www.datacamp.com/community/tutorials/understanding-logistic-regression-python
5 – Logistic Regression Python Implementation with Scikit-Learn
6 – Introduction to Support Vector Machines (SVM)
7 – Support Vector Machines (SVM) in Scikit-learn
8 – Understanding Random Forest
9 – Implement Random Forest Using the Scikit-Learn The dataset can be downloaded from here – https://drive.google.com/file/d/13nw-uRXPY8XIZQxKRNZ3yYlho-CYm_Qt/view More info about the dataset – https://archive.ics.uci.edu/ml/datasets/banknote+authentication
10 – Understanding K-Means Clustering
11 – K-Means Clustering with scikit-learn Python Example
12 – K-Nearest Neighbours (KNN algorithm)
13- K-Nearest Neighbours (KNN algorithm) implementation in Scikit-Learn Feel the real power of Python and programming! The course offers you a unique approach of learning how to code by solving real world problems. #ProgrammingKnowledge #ml #ai
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Implementing Commonly Used Machine Learning Algorithms using Scikit-Learn (2021)

Implementing Commonly Used Machine Learning Algorithms using Scikit-Learn (2021)

 

 

 

 

 

 

 

 

 

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