My experience with Kaggle's Intro To machine learning
A few weeks ago, I saw a tweet about 30 days of ML. With very little theoretical knowledge of Machine Learning, I was curious to know more about it.
I was at ease after finding that the contest was particularly aimed at beginners with little to no knowledge in Machine Learning. So I registered in it.
This introduction to Machine Learning is part of this 30 days contest.
You can find it here kaggle.com/learn/intro-to-machine-learning
The course is instructed by Dan Becker kaggle.com/dansbecker
The course requires an understanding of python. Although I am a novice in python, I managed to go through the course with ease. So dont worry if you feel that you are a beginner in python :). You can do it too :)
The course has seven lessons. Except the first introduction lesson every other lesson has a small exercise. You need to clear the exercise to complete the lesson.
It also has a bonus lesson about an introduction to AutoML. At the time of writing this blog it did not have an exercise section.
The lessons covers
- An introduction on how the models work
- Basic Data Exploration. Pandas is used here
- Creating your first Machine Learning Model
- Model Validation
- Underfitting and Overfitting
- Random Forests
- Machine Learning Competitions
And the bonus lesson of AutoML introduction.
Now don't be scared that the topics are difficult to grasp for a beginner. The beauty of this course is that the instruction has small code samples. The exercise also requries you to write code very similar to the ones mentioned in the tutorial. Moreover if you need help then their is a clue section. And if you worry that you got your answer wrong, dont worry :). There is also a solution section that gives you the solution :) You can also save your code to resume later. Sounds cool right :)
This course is really helpful if you would like to get an introduction to Machine Learning. This definitely removed some of my inhibitions towards Machine Learning and gave me confidence to learn more. Give it a try and let me know your comments here :)
Have a nice learning. See you in another blog :)