Machine Learning Projects A-Z : Kaggle and Real World Pro
Machine Learning Projects A-Z : Kaggle and Real World Pro, available at $19.99, has an average rating of 4, with 59 lectures, based on 108 reviews, and has 1470 subscribers.
You will learn about Solve Competitive level Problems like Kaggle Get your Profile Ready for Interviews This course is ideal for individuals who are Anyone who wants to bulid his carreer in Data Science / Machine Learning It is particularly useful for Anyone who wants to bulid his carreer in Data Science / Machine Learning.
Enroll now: Machine Learning Projects A-Z : Kaggle and Real World Pro
Summary
Title: Machine Learning Projects A-Z : Kaggle and Real World Pro
Price: $19.99
Average Rating: 4
Number of Lectures: 59
Number of Published Lectures: 59
Number of Curriculum Items: 59
Number of Published Curriculum Objects: 59
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Solve Competitive level Problems like Kaggle
- Get your Profile Ready for Interviews
Who Should Attend
- Anyone who wants to bulid his carreer in Data Science / Machine Learning
Target Audiences
- Anyone who wants to bulid his carreer in Data Science / Machine Learning
Want to join Kaggle Competition?
Want to Experience how Real Data Scientists Solve Problems in Real World?
Then this is a right course for you.
This course has been designed by IIT professionals who have mastered in Mathematics and Data Science. We will walk you step-by-step how to solve Machine Learning Projects and With every tutorial you will develop new skills which in turn improve your understanding of this challenging yet lucrative sub-field of Data Science.
This course is meant for experienced IT Project Managers who want to understand how to manage Machine Learning projects, what are the specific challenges they will face, and what are some best practices to help them successfully deliver business value.
Course Curriculum
Chapter 1: Introduction to the course
Lecture 1: Introduction
Chapter 2: Project 1 : Kaggle
Lecture 1: Introduction to the Problem Statement
Lecture 2: Playing With The Data
Lecture 3: Translating the Problem In Machine Learning World
Lecture 4: Dealing with Text Data
Lecture 5: Train, Test And Cross Validation Split
Lecture 6: Understanding Evaluation Matrix: Log Loss
Lecture 7: Building A Worst Model
Lecture 8: Evaluating Worst ML Model
Lecture 9: First Categorical column analysis
Lecture 10: Response encoding and one hot encoder
Lecture 11: Laplace Smoothing and Calibrated classifier
Lecture 12: Significance of first categorical column
Lecture 13: Second Categorical column
Lecture 14: Third Categorical column
Lecture 15: Data pre-processing before building machine learning model
Lecture 16: Building Machine Learning model :part1
Lecture 17: Building Machine Learning model :part2
Lecture 18: Building Machine Learning model :part3
Lecture 19: Building Machine Learning model :part4
Lecture 20: Building Machine Learning model :part5
Lecture 21: Building Machine Learning model :part6
Chapter 3: Project 2: Real world Problem
Lecture 1: Part1
Lecture 2: Part2
Lecture 3: Part3
Lecture 4: Part4
Lecture 5: Part5
Chapter 4: Project 3: Real world Project
Lecture 1: Part1
Lecture 2: Part2
Lecture 3: Part3
Lecture 4: Part4
Chapter 5: Project 4: Real World Project
Lecture 1: Part1
Lecture 2: Part2
Lecture 3: Part3
Lecture 4: Part4
Lecture 5: Part5
Chapter 6: Project 5 : Kaggle
Lecture 1: Part1
Lecture 2: Part2
Lecture 3: Part3
Lecture 4: Part4
Lecture 5: Part5
Lecture 6: Part6
Lecture 7: Part7
Lecture 8: Part8
Lecture 9: Part9
Lecture 10: Part10
Lecture 11: Part11
Lecture 12: Part12
Lecture 13: Part13
Lecture 14: Part14
Lecture 15: Part15
Chapter 7: Project 6: Kaggle
Lecture 1: Part1
Lecture 2: Part2
Lecture 3: Part3
Lecture 4: Part4
Lecture 5: Part5
Lecture 6: Part6
Lecture 7: Part7
Lecture 8: Part8
Instructors
-
Geekshub Pvt Ltd
BigData and Analytics
Rating Distribution
- 1 stars: 6 votes
- 2 stars: 4 votes
- 3 stars: 20 votes
- 4 stars: 43 votes
- 5 stars: 35 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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