ดูวิดีโอตอนนี้ Machine Learning Tutorial Python – 7: Training and Testing Data
sklearn.model_selection.train_test_split method is used in machine learning projects to split available dataset into training and test set. This way you can train and test on separate datasets. When you test your model using dataset that model didn’t see during training phase, it will give you better idea on the accuracy of a model.
#MachineLearning #PythonMachineLearning #MachineLearningTutorial #Python #PythonTutorial #PythonTraining #MachineLearningCource #MachineLearningMethod #DataTraining #sklearntutorials #scikitlearntutorials
Code:
Topics that are covered in this Video:
0:00 – Theory behind why we need to split given dataset into training and test using sklearn train set split method.
0:54 – Coding (Here we use car price prediction problem to demonstrate train test split)
2:14 – Use train_test_split from sklearn
3:54 – Use of random state method
4:49 – Use of fit() method to train your model
5:35 – Score() method (to check the accuracy of the model)
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Machine Learning Tutorial Python – 8: Logistic Regression (Binary Classification):
Very Simple Explanation Of Neural Network:
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“Machine Learning Tutorial Python – 7: Training and Testing Data“, จากแหล่งที่มา: https://www.youtube.com/watch?v=fwY9Qv96DJY
แฮชแท็กสำหรับ Machine Learning Tutorial Python – 7: Training and Testing Data: #Machine #Learning #Tutorial #Python #Training #Testing #Data
บทความ Machine Learning Tutorial Python – 7: Training and Testing Data มีเนื้อหาดังต่อไปนี้: sklearn.model_selection.train_test_split method is used in machine learning projects to split available dataset into training and test set. This way you can train and test on separate datasets. When you test your model using dataset that model didn’t see during training phase, it will give you better idea on the accuracy of a model.
#MachineLearning #PythonMachineLearning #MachineLearningTutorial #Python #PythonTutorial #PythonTraining #MachineLearningCource #MachineLearningMethod #DataTraining #sklearntutorials #scikitlearntutorials
Code:
Topics that are covered in this Video:
0:00 – Theory behind why we need to split given dataset into training and test using sklearn train set split method.
0:54 – Coding (Here we use car price prediction problem to demonstrate train test split)
2:14 – Use train_test_split from sklearn
3:54 – Use of random state method
4:49 – Use of fit() method to train your model
5:35 – Score() method (to check the accuracy of the model)
Do you want to learn technology from me? Check for my affordable video courses.
Next Video:
Machine Learning Tutorial Python – 8: Logistic Regression (Binary Classification):
Very Simple Explanation Of Neural Network:
Populor Playlist:
Data Science Full Course:
Data Science Project:
Machine learning tutorials:
Pandas:
matplotlib:
Python:
Jupyter Notebook:
Tools and Libraries:
Scikit learn tutorials
Sklearn tutorials
Machine learning with scikit learn tutorials
Machine learning with sklearn tutorials
To download csv and code for all tutorials: go to click on a green button to clone or download the entire repository and then go to relevant folder to get access to that specific file.
🌎 My Website For Video Courses:
Need help building software or data analytics and AI solutions? My company can help. Click on the Contact button on that website.
#️⃣ Social Media #️⃣
🔗 Discord:
📸 Dhaval’s Personal Instagram:
📸 Codebasics Instagram:
🔊 Facebook:
📱 Twitter:
📝 Linkedin (Personal):
📝 Linkedin (Codebasics):
🔗 Patreon:
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ขณะนี้วิดีโอนี้มียอดดู 544218 วิดีโอสร้างขึ้นเมื่อ 2018-08-09 18:06:42 คุณต้องการดาวน์โหลดวิดีโอนี้โดยไปที่ลิงก์ต่อไปนี้: https://www.youtubepp.com/watch?v=fwY9Qv96DJY, แท็ก: #Machine #Learning #Tutorial #Python #Training #Testing #Data
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