Step By Step Machine Learning | Machine Learning Steps | Data Magic
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- Опубликовано: 2 июл 2024
- Hello Friends,
In this video, I will talk about the in details steps which are involved in any Data Science/ Machine Learning Project.
Step By Step Machine Learning | Machine Learning Steps | Data Magic
#stepbystepMachineLearning #MLSteps #MachineLearning
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Thankyou bro that really helps me a lot to learn 💯
Thank you, brother......learnt something from your video
Your welcome !
thanks for the video, very nicely explained all the things.
Glad, You found it useful!
thank u sir...👍🏻
Your welcome!
Today I am very happy that I found your vedio..
Today was my exam and It came for 4 marks
Glad to know you found it helpful… that’s what I want…cheers👍🏻
Very good explanation.. 👍
Glad you found it useful.
Thank you so much bro!
Your welcome!
Excellent!
Glad you liked it!
Thank u sooo muchhhhhhh
Your welcome!
🙏
Thank you
You're welcome
thank you sir
Your welcome!
Plzz make more such vedios of AI . I have AI as my specialization.
I have already created around 300 videos. Please check out DataMagicAI on RUclips.
Sir, do we get good accuracy if create our dataset by merging different datas. How correlation can be useful in that case. But this vedeo is extremely too clear short and sweet
If you are merging different datasets you need to focus on couple of points.
- Make sure you are picking the required common features/columns from both data set
- make sure the unit of same feature in bothe dataset is same. For example if height data in one dataset in meter and in another dataset in inches)
- if unit is not same make sure you are convert the unit to make it some.
- also check for data balancing
@@DataMagicAI but i have a big doubt when we are creating our own dataset by attaching different featured columns do we get good accuracy plz reply
@@DataMagicAI thank you for your reply
It all depends on your quality of data and how you are tunning the right ML algorithm.
superb brother
Thank you!
I didnt understand how unsupervised and reinforcement learning work? Can you explain these two with cat and dog example. I know unsupervised learning will catergorize cat and dog separately, but who will telll the model which is cat and which is dog in this ??
In unsupervised learning when you will pass dog and cat image and train a model. model will try to find by themselves the similarity between different images. It may Create clusters with annimal which has tall ears and another cluster where animals may have small ears. as we are not passing any labels with images model tried to figure out similarity by itself and creates group of images which has the similler features.
How long does it take from step 1 until finish?
Its hard to tell, It all depends on
what problem you are trying to solve?
How much complex your dataset is?
What is the size of your dataset?
How good computational power(hardware) you have for training?
How good data science skills/expertise you have?
peecha ka view dekhke mera mann bhatak raha hai...
Focus on front :) By the way background is changed you will not find it in further videos. Thanks!