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Learn Machine Learning in One Hour | Practical Machine Learning with Scikit-Learn Tutorial
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Machine learning is a rapidly growing field. However, a lot of courses on the internet today do not go over some of it's most powerful algorithms. In this video, we will learn multiple machine learning algorithms, along with data preprocessing, all in under an hour. We will go over regression, classification, component analysis and boosting all in scikit-learn, one of the most popular machine learning libraries for python.
Code for this video:
Want to learn more machine learning? Check out my deep learning course with keras:
0:00 Introduction
2:00 Data preprocessing
Regression:
9:17 Simple Linear Regression
16:35 Polynomial Regression
20:16 Multiple Linear Regression
Classification:
31:20 Logistic Regression
43:31 Support Vector Machines (SVM)
46:12 Decision Trees
49:05 Random Forest
Optimization:
53:09 PCA
1:01:01 Gradient Boosting
1:03:28 XGBoost
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Code for this video:
Want to learn more machine learning? Check out my deep learning course with keras:
0:00 Introduction
2:00 Data preprocessing
Regression:
9:17 Simple Linear Regression
16:35 Polynomial Regression
20:16 Multiple Linear Regression
Classification:
31:20 Logistic Regression
43:31 Support Vector Machines (SVM)
46:12 Decision Trees
49:05 Random Forest
Optimization:
53:09 PCA
1:01:01 Gradient Boosting
1:03:28 XGBoost
Get 60 Free Days of Unlimited Access to Scribd!
Follow Me:
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