Microsoft Malware Detection Project Course
- Learn Python, analyze and visualize data with Pandas, Matplotlib and Scikit.
- Learn Python, analyze and visualize data with Pandas, Matplotlib and Scikit.
- Learn Python, analyze and visualize data with Pandas, Matplotlib and Scikit.
Created by Selva Prabhakaran
- Last updated 03/2020
- English
- English captions
220,000 +
Professionals Trained
250 +
Workshops every month
70 +
Countries and counting
What you will learn
01
Python Distribution
Anaconda, basic data types, strings, regular expressions, data structures, loops, and control statements.
02
Python Distribution
Anaconda, basic data types, strings, regular expressions, data structures, loops, and control statements.
03
Python Distribution
Anaconda, basic data types, strings, regular expressions, data structures, loops, and control statements.
04
Python Distribution
Anaconda, basic data types, strings, regular expressions, data structures, loops, and control statements.
05
Python Distribution
Anaconda, basic data types, strings, regular expressions, data structures, loops, and control statements.
06
Python Distribution
Anaconda, basic data types, strings, regular expressions, data structures, loops, and control statements.
Course Curriculum
11 Sections • 33 Lectures • 4h 51 min total length
Learning Objective of the Course
03.50
Problem Description
Preview
05.01
Learning Objective of the Course
Preview
03.50
Problem Description
Preview
05.01
Learning Objective of the Course
Preview
03.50
Problem Description
Preview
05.01
Learning Objective of the Course
Preview
03.50
Problem Description
Preview
05.01
Learning Objective of the Course
Preview
03.50
Problem Description
Preview
05.01
Learning Objective of the Course
Preview
03.50
Problem Description
Preview
05.01
Requirements
- Basics of Python
- Foundational knowledge of Data Science
- High school maths
Who should attend this course?
- Professionals in the field of data science
- Professionals looking for a robust, structured Python learning program
- Software or data engineers interested in quantitative analysis
- Professionals working with large datasets
- Data analysts, economists, researchers
About the course
Malware attacks affect not just individual consumers, but also enterprises and governments. And as a provider of operating system software, Microsoft takes this problem very seriously.
In this course you will solve this problem by predicting whether a computer is going to be attacked by malware or not. You’ll learn end-to-end project steps, in-depth concepts, real world tips and tricks, and the full code involved in building the actual data science solution.
You will learn the following skills by the end of the course:
LightGBM
XGBoost Random
Forest Decision Tree
Logistic Regression
Hyperparameter
Tuning Feature Importance Confusion Matrix
ROC AUC
Concordance and Discordance
Precision Recall Curve
Capture Rates and Gains
Feature Engineering
Label Encoding
Frequency Encoding
Chi-Square test ANOVA test
Exploratory Data Analysis
Memory
Optimization
Data Preprocessing
Instructor
Selva Prabhakaran
Principal Data Scientist
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4.5
Instructor rating
2,343
reviews
102,432
students
9
Courses
What Learners Are Saying
Ong Chu Feng
Data Analyst
Rated 4 out of 5
The content was sufficient and the trainer was well-versed in the subject. Not only did he ensure that we understood the logic behind every step, he always used real-life examples to make it easier for us to understand. Moreover, he spent additional time to let us consult him on Data Science-related matters outside the curriculum. He gave us advice and extra study materials to enhance our understanding. Thanks, Knowledgehut!a
Attended Data Science with Python Certification workshop in January 2020
Ong Chu Feng
Data Analyst
Rated 4 out of 5
The content was sufficient and the trainer was well-versed in the subject. Not only did he ensure that we understood the logic behind every step, he always used real-life examples to make it easier for us to understand. Moreover, he spent additional time to let us consult him on Data Science-related matters outside the curriculum. He gave us advice and extra study materials to enhance our understanding. Thanks, Knowledgehut!a
Attended Data Science with Python Certification workshop in January 2020
Ong Chu Feng
Data Analyst
Rated 4 out of 5
The content was sufficient and the trainer was well-versed in the subject. Not only did he ensure that we understood the logic behind every step, he always used real-life examples to make it easier for us to understand. Moreover, he spent additional time to let us consult him on Data Science-related matters outside the curriculum. He gave us advice and extra study materials to enhance our understanding. Thanks, Knowledgehut!a
Attended Data Science with Python Certification workshop in January 2020
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FAQs
This is a completely self-paced online project course – you decide when you start and when you finish. On an average, students have finished this project course in 2-3 weeks.
This is a completely self-paced online project course – you decide when you start and when you finish. On an average, students have finished this project course in 2-3 weeks.
This is a completely self-paced online project course – you decide when you start and when you finish. On an average, students have finished this project course in 2-3 weeks.
This is a completely self-paced online project course – you decide when you start and when you finish. On an average, students have finished this project course in 2-3 weeks.
This is a completely self-paced online project course – you decide when you start and when you finish. On an average, students have finished this project course in 2-3 weeks.
$9.99 $27.99 60% off
- Limited Time Offer !
30-Day Money Back Guarantee
- Project Certificate
- Python codes
- Real Industry Data
- Clean English Captions
- Expert Query Support
- Jupyter Notebooks
- Self-paced online videos
- 30-Day Moneyback if not satisfied
- Learning duration ~ 2-3 weeks
- Complete access for 1 year
