Top Tweets for #100daysofmachinelearning
Collected data π
Cleaned the mess
Today: understanding the story behind data π
worked on EDA:
β’ distributions
β’ correlations
β’ patterns
turns outβ¦ data always has something to say π
#Python #100DaysOfMachinelearning
Day 16 of #30dayscoding named #GandFadCoding
- complete 5 topics of python @Hiteshdotcom and @piyushgarg_dev
- also learning #100DaysofMachineLearning by CampusX watched day 15 video
This was Day 16 of my #GandFadCoding
#100DaysOfMachineLearning Day 3 Got to know about logistic regression
#100DaysOfMachineLearning Day 2 Got to know about tensors.
#100DaysOfMachineLearning Machine Learning Day 1 on https://t.co/Zqotga7FH4
Learning ML alone is hard.
Learning ML together is fun π
Iβm looking for people to collaborate on ML projects as part of #100DaysOfMachineLearning.
If youβre building, learning, or just curious β letβs connect π€
Comment βMLβ or DM me.
#MLTwitter #DataScienceCommunity #AI
π§ Offline vs Online Machine Learning β in 1 minute
Offline ML = Train once on past data
Online ML = Learn continuously from live data
Same goal. Very different approach.
Part of my #100DaysOfMachineLearning π
π Details in comments
#MachineLearning #AI #DataScience #LearnIn
Day 17 of #100DaysOfMachineLearning
Today I learned about optimizers.
Gradient descent tells a model where to go.
Optimizers decide how fast and how smoothly it gets there.
Momentum, RMSProp, Adam, AdamW
All built to make learning faster and more stable.
Free to read π
https://t.co/uSgepJy5x0
#MachineLearning #DataScience #AI #DeepLearning #MLForBeginners
Day 16 of #100DaysOfMachineLearning
Todayβs topic: Gradient Descent
This is how machines actually learn:
make a prediction β measure the error β move parameters slightly β repeat.
The learning rate decides how big each step is.
Too small and training is slow.
Too big and training breaks.
π Free to read:
https://t.co/dPtUlmwMnb
#MachineLearning #AI #DataScience #DeepLearning #MLForBeginners #GradientDescent #TechLearning
Kind of Good Start !!!. You Know !! Revising concepts ππ#100daysofMachineLearning
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