Microsoft Malware Detection Project
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Portfolio Project: Microsoft Malware Detection Project

  • Predict whether a system will get infected by Malware or not
  • Work on real Microsoft data like a practising data scientist
  • Build and evaluate multiple models and gather insights

Created by Selva Prabhakaran

  • 34 Video Lessons

  • English

  • English captions

What you will learn

01

Frame Data Science Problem Statement

02

Extensive Exploratory Data Analysis

03

Feature Engineering Strategies

04

Statistical Concepts and Implementation

05

Model Evaluation and Improvement

06

Advanced Machine Learning Algorithms

07

Domain based data science strategies

08

Derive high business impact insights

Course Curriculum

Requirements

  • Courses Page1 Basics of Python
  • Courses Page1 Foundational knowledge of Data Science
  • Courses Page1 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
  • 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

My name is Selva, and I am super excited to mentor you on this project!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I’ve deployed 20+ global products. I’m also the Founder & Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of courses and projects with detailed explanations – just like an on the job experience. Hope you love it!

  • 4.5+Instructor rating

  • 200+ reviews

  • 10K+students

  • 15+ Courses

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