Machine Learning Projects A-Z : Kaggle and Real World Pro
4.5 (80 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,230 students enrolled

Machine Learning Projects A-Z : Kaggle and Real World Pro

Master Machine Learning Kaggle and Real World Projects and Start Participating in Competitive Forums
4.5 (80 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,230 students enrolled
Created by Geekshub Pvt Ltd
Last updated 2/2019
English
English [Auto]
Current price: $129.99 Original price: $199.99 Discount: 35% off
14 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 8 hours on-demand video
  • 7 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Solve Competitive level Problems like Kaggle
  • Get your Profile Ready for Interviews
Course content
Expand all 59 lectures 07:57:22
+ Project 1 : Kaggle
21 lectures 02:56:13
Playing With The Data
14:33
Translating the Problem In Machine Learning World
09:53
Train, Test And Cross Validation Split
10:23
Understanding Evaluation Matrix: Log Loss
16:55
Building A Worst Model
08:42
Evaluating Worst ML Model
05:48
First Categorical column analysis
12:13
Laplace Smoothing and Calibrated classifier
12:05
Significance of first categorical column
06:53
Third Categorical column
06:52
Data pre-processing before building machine learning model
04:23
Building Machine Learning model :part1
13:11
Building Machine Learning model :part2
11:38
Building Machine Learning model :part3
03:17
Building Machine Learning model :part5
03:48
Building Machine Learning model :part6
06:32
+ Project 2: Real world Problem
5 lectures 01:10:18
Part1
25:19
Part2
11:45
Part3
08:17
Part4
09:17
Part5
15:40
+ Project 3: Real world Project
4 lectures 35:31
Part1
06:56
Part2
07:50
Part3
14:26
Part4
06:19
+ Project 4: Real World Project
5 lectures 19:53
Part1
02:55
Part2
06:18
Part3
03:27
Part4
04:23
Part5
02:50
+ Project 5 : Kaggle
15 lectures 01:23:21
Part1
06:23
Part2
04:09
Part3
02:50
Part4
02:49
Part5
03:08
Part6
10:14
Part7
03:59
Part8
05:26
Part9
05:24
Part10
04:32
Part11
06:50
Part12
08:00
Part13
03:55
Part14
06:18
Part15
09:24
+ Project 6: Kaggle
8 lectures 01:27:25
Part1
19:38
Part2
11:45
Part3
11:15
Part4
15:32
Part5
11:46
Part6
10:16
Part7
04:39
Part8
02:34
Requirements
  • Machine Learning knowledge is must
  • Statistics
  • Suggestion : Complete our " Machine Learning : Become Kaggle Master Course"
  • This course is sufficient to understand all the projects solutions.
Description

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.


Who this course is for:
  • Anyone who wants to bulid his carreer in Data Science / Machine Learning