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Email Spam Detection Machine Learning Model Project in Python
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"Email Spam Detection Machine Learning Model Project in Python"
In this video explained Email Spam Detection Machine Learning Model Project in Python. This Machine Learning model project deployed as web Application. Based on the contents of the Mail, Machine learning model detects whether message is spam or not.
In this tutorial, we will guide you through the process of building a spam detection machine learning model using Python. We will start by discussing the what is machine learning. Then, we will explore the steps to collect and preprocess the data, including feature engineering and data cleaning. Next, we will implement machine learning algorithm, such as Naive Bayes and evaluate its performance. Finally, we will deploy the trained model and test it on new data to validate its effectiveness.
#machinelearning #mlproject #pythonprojects
0:20 - 5:55 Introduction to Machine Learning Models
5:56 - 06:15 Email Spamming Explanation
06:16 - 08:20 - Tools and Prerequisites
08:21 - 18:22 - Data Preprocessing
18:22 - 22:40 - Count Vectorizer Explanation
22:41 - 24:13 - Creating Model
24:15 - 32:03 - Testing Model
32:04 - 37:10 - Deploying Model
37:10 - 39:40 - Demo
Please subscribe to our channel for more related Videos and Python Machine Learning, Deep learning Projects.
Link to Machine Learning Projects in Python
Link to Deep Learning Projects in Python
In this video explained Email Spam Detection Machine Learning Model Project in Python. This Machine Learning model project deployed as web Application. Based on the contents of the Mail, Machine learning model detects whether message is spam or not.
In this tutorial, we will guide you through the process of building a spam detection machine learning model using Python. We will start by discussing the what is machine learning. Then, we will explore the steps to collect and preprocess the data, including feature engineering and data cleaning. Next, we will implement machine learning algorithm, such as Naive Bayes and evaluate its performance. Finally, we will deploy the trained model and test it on new data to validate its effectiveness.
#machinelearning #mlproject #pythonprojects
0:20 - 5:55 Introduction to Machine Learning Models
5:56 - 06:15 Email Spamming Explanation
06:16 - 08:20 - Tools and Prerequisites
08:21 - 18:22 - Data Preprocessing
18:22 - 22:40 - Count Vectorizer Explanation
22:41 - 24:13 - Creating Model
24:15 - 32:03 - Testing Model
32:04 - 37:10 - Deploying Model
37:10 - 39:40 - Demo
Please subscribe to our channel for more related Videos and Python Machine Learning, Deep learning Projects.
Link to Machine Learning Projects in Python
Link to Deep Learning Projects in Python
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