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The margarine production line is under commissioning. #margarine #shortening #ghee #mayonnaise #oil
January 5, 2024
The Syntegon Bar System at Pack Expo 2018
The Syntegon Bar System at Pack Expo 2018
January 5, 2024

Mastering Practical Usage of Machine Learning: Save Models & Automate Data Prep!

January 5, 2024

Mastering Practical Usage of Machine Learning: Save Models & Automate Data Prep!

January 5, 2024

Mastering Practical Usage of Machine Learning: Save Models & Automate Data Prep!

In this video, we dive deep into the practical side of machine learning, guiding you through the essential steps of saving models and automating data preparation. Whether you’re a beginner or looking to enhance your ML skills, this tutorial has something for everyone.

🔍 Key Takeaways:

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Learn how to save your trained machine learning models for future use.
Discover the power of automation in data preprocessing for streamlined workflows.
Master practical tips for efficient model sharing and collaboration.

📁 Timestamps:

00:00 – Recap
00:25 – Introduction & Objective of the video
02:40 – Clean and Save the Models
08:17 – Automation of Data Pre-Processing work
11:53 – Automation of SMOTE Balancing
16:14 – Create or Save the Automated Module
18:35 – Using the Saved Module to clean or pre-process the data
23:40 – Using the Saved Trained Models for prediction
30:08 – Combining prediction with the input data and exporting that to excel

👩‍💻 Resources – Data, Code and Tools Used:
Data used to test the model –
Output of the prediction –

Data Balancing & Model Building –
Saved Ensemble Model –
Saved SMOTE Logistic Model –
Data Pre-Prep. Automated Module –
Code Created in the video –

📲 Subscribe & Stay Informed:
Subscribe now for weekly insights, tutorials, and deep dives into the latest trends shaping the world of machine learning. Join our community of data enthusiasts dedicated to mastering the intricacies of data science.

You may also like to watch –
Balancing with Ensemble –
Balancing with K-Fold –
Balancing with SMOTE –
Balancing with Over & Under Sampling –
Fraud Detection Model Part-1 –
Fraud Detection Model Part-2 –
Data Science Full Playlist –
Pandas Full Playlist –
NumPy Full Playlist –
Matplotlib Full Playlist –
Seaborn Full Playlist –

💬 Join the Conversation:
Have questions or specific topics you’d like us to cover in future videos? Drop your thoughts in the comments, and let’s keep the conversation thriving!

🌐 Connect with Us:
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👍 Like, Share, and Subscribe to be part of our community dedicated to mastering machine learning and achieving data harmony! Let’s shape the future of data science together!

#MachineLearning #DataScience #AIInnovation #Automation #MLModels #DataPreprocessing #PracticalML #CodeTutorial #TechTips #DataAnalysis #Programming #ModelSaving #MLWorkflow #Collaboration #TechEducation #ProgrammingTips #Algorithm #LearnAI #CodingCommunity #SubscribeNow #Learnerea

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