Day 20. Machine Learning. Someday this will click in my head. #mlzoomcamp #100daysofcode
October 6, 2025 at 10:23 PM
Day 20. Machine Learning. Someday this will click in my head. #mlzoomcamp #100daysofcode
Why it still matters
Before neural networks, there was regression.
Before ChatGPT, there was least squares.
Understanding Linear Regression means understanding how machines learn relationships — the DNA of all supervised learning.
#AI #DataScience #MLZoomcamp
Before neural networks, there was regression.
Before ChatGPT, there was least squares.
Understanding Linear Regression means understanding how machines learn relationships — the DNA of all supervised learning.
#AI #DataScience #MLZoomcamp
October 8, 2025 at 12:23 PM
Why it still matters
Before neural networks, there was regression.
Before ChatGPT, there was least squares.
Understanding Linear Regression means understanding how machines learn relationships — the DNA of all supervised learning.
#AI #DataScience #MLZoomcamp
Before neural networks, there was regression.
Before ChatGPT, there was least squares.
Understanding Linear Regression means understanding how machines learn relationships — the DNA of all supervised learning.
#AI #DataScience #MLZoomcamp
I just completed Module 2: Linear Regression from ML Zoomcamp 2026 🎉
This module was about getting into ML with Linear Regression — from understanding the fundamentals to building and evaluating a regression model.
Link: colab.research.google.com/drive/11QI2t...
#mlzoomcamp @Alexey Grigorev
This module was about getting into ML with Linear Regression — from understanding the fundamentals to building and evaluating a regression model.
Link: colab.research.google.com/drive/11QI2t...
#mlzoomcamp @Alexey Grigorev
Google Colab
colab.research.google.com
September 27, 2026 at 9:55 PM
I just completed Module 2: Linear Regression from ML Zoomcamp 2026 🎉
This module was about getting into ML with Linear Regression — from understanding the fundamentals to building and evaluating a regression model.
Link: colab.research.google.com/drive/11QI2t...
#mlzoomcamp @Alexey Grigorev
This module was about getting into ML with Linear Regression — from understanding the fundamentals to building and evaluating a regression model.
Link: colab.research.google.com/drive/11QI2t...
#mlzoomcamp @Alexey Grigorev
Machine learning isn’t magic.
It’s math + data + pattern-finding at scale.
📌 If you can define a task with inputs & desired outputs, there’s a chance you can teach a machine to learn it.
Just started #MLZoomcamp and I’m already rethinking what “learning” really means 🤖
#LearningInPublic
It’s math + data + pattern-finding at scale.
📌 If you can define a task with inputs & desired outputs, there’s a chance you can teach a machine to learn it.
Just started #MLZoomcamp and I’m already rethinking what “learning” really means 🤖
#LearningInPublic
September 26, 2025 at 12:56 PM
Machine learning isn’t magic.
It’s math + data + pattern-finding at scale.
📌 If you can define a task with inputs & desired outputs, there’s a chance you can teach a machine to learn it.
Just started #MLZoomcamp and I’m already rethinking what “learning” really means 🤖
#LearningInPublic
It’s math + data + pattern-finding at scale.
📌 If you can define a task with inputs & desired outputs, there’s a chance you can teach a machine to learn it.
Just started #MLZoomcamp and I’m already rethinking what “learning” really means 🤖
#LearningInPublic
Last September 14th I started the wonderful ML Zoomcamp 2026.
These 2 weeks were about 1. Introduction to ML:
- Difference between ML and rule-based systems
- What supervised ML is
- CRISP-DM
- The model selection step
- Setting up the environment
➡️Next step: 2. ML for Regression
#mlzoomcamp
These 2 weeks were about 1. Introduction to ML:
- Difference between ML and rule-based systems
- What supervised ML is
- CRISP-DM
- The model selection step
- Setting up the environment
➡️Next step: 2. ML for Regression
#mlzoomcamp
September 26, 2026 at 9:24 PM
Last September 14th I started the wonderful ML Zoomcamp 2026.
These 2 weeks were about 1. Introduction to ML:
- Difference between ML and rule-based systems
- What supervised ML is
- CRISP-DM
- The model selection step
- Setting up the environment
➡️Next step: 2. ML for Regression
#mlzoomcamp
These 2 weeks were about 1. Introduction to ML:
- Difference between ML and rule-based systems
- What supervised ML is
- CRISP-DM
- The model selection step
- Setting up the environment
➡️Next step: 2. ML for Regression
#mlzoomcamp
Did you know?
Linear regression assumes linearity, independence, homoscedasticity, and normality — the same assumptions engineers rely on when modeling heat transfer, vibration, or current flow.
It’s not just statsnbut it’s physics written in matrix form.
#Engineering #DataScience #MLZoomcamp
Linear regression assumes linearity, independence, homoscedasticity, and normality — the same assumptions engineers rely on when modeling heat transfer, vibration, or current flow.
It’s not just statsnbut it’s physics written in matrix form.
#Engineering #DataScience #MLZoomcamp
October 8, 2025 at 12:41 PM
Did you know?
Linear regression assumes linearity, independence, homoscedasticity, and normality — the same assumptions engineers rely on when modeling heat transfer, vibration, or current flow.
It’s not just statsnbut it’s physics written in matrix form.
#Engineering #DataScience #MLZoomcamp
Linear regression assumes linearity, independence, homoscedasticity, and normality — the same assumptions engineers rely on when modeling heat transfer, vibration, or current flow.
It’s not just statsnbut it’s physics written in matrix form.
#Engineering #DataScience #MLZoomcamp
Machine Learning Zoomcamp journey! 🤖 The core concept? Let the machine find the patterns in the data. We provide the examples, it learns the rules. Mind-blowing stuff! 🤯 #MachineLearning #MLZoomcamp #DataTalksClub
September 20, 2025 at 12:24 AM
Machine Learning Zoomcamp journey! 🤖 The core concept? Let the machine find the patterns in the data. We provide the examples, it learns the rules. Mind-blowing stuff! 🤯 #MachineLearning #MLZoomcamp #DataTalksClub
3/ Hard-coding rules for complex systems becomes a maintenance nightmare. Machine learning solves this by flipping the roles: the desired outcome becomes the input, allowing the algorithm to automatically extract the rules. #mlzoomcamp
September 20, 2026 at 12:22 PM
3/ Hard-coding rules for complex systems becomes a maintenance nightmare. Machine learning solves this by flipping the roles: the desired outcome becomes the input, allowing the algorithm to automatically extract the rules. #mlzoomcamp
Finished Module 1 of ML Zoomcamp 2026! 🎉 ML vs rule-based, CRISP-DM, & NumPy/Pandas.
✨ Takeaway: ML is a lifecycle—business & data prep matter most.
🤔 Best part: Shifting from coding rules to letting data find them via vectorization!
➡️ Next: Regression!
#mlzoomcamp @alexeygrigorev.bsky.social
✨ Takeaway: ML is a lifecycle—business & data prep matter most.
🤔 Best part: Shifting from coding rules to letting data find them via vectorization!
➡️ Next: Regression!
#mlzoomcamp @alexeygrigorev.bsky.social
September 25, 2026 at 6:43 AM
Finished Module 1 of ML Zoomcamp 2026! 🎉 ML vs rule-based, CRISP-DM, & NumPy/Pandas.
✨ Takeaway: ML is a lifecycle—business & data prep matter most.
🤔 Best part: Shifting from coding rules to letting data find them via vectorization!
➡️ Next: Regression!
#mlzoomcamp @alexeygrigorev.bsky.social
✨ Takeaway: ML is a lifecycle—business & data prep matter most.
🤔 Best part: Shifting from coding rules to letting data find them via vectorization!
➡️ Next: Regression!
#mlzoomcamp @alexeygrigorev.bsky.social
Data distribution matters! My car price data had a long tail, which is bad news for ML models. A logarithmic transformation was the key to normalizing it. Never underestimate the power of solid data prep! 📊 #MLZoomcamp #DataTalksClub #DataScience
October 5, 2025 at 11:48 PM
Data distribution matters! My car price data had a long tail, which is bad news for ML models. A logarithmic transformation was the key to normalizing it. Never underestimate the power of solid data prep! 📊 #MLZoomcamp #DataTalksClub #DataScience
Coudn’t wait for it, started my midterm project #mlzoomcamp
October 7, 2023 at 7:52 AM
Coudn’t wait for it, started my midterm project #mlzoomcamp
Just wrapped up Module 6 of #mlzoomcamp
Learned about
🔹 Decision Trees for regression
🔹 Random Forest
🔹 Feature importance
🔹 XGBoost parameter tuning
✨More trees isn't always better. There's a sweet spot for model complexity vs performance
➡️ Next up: Midterm project
@Al_Grigor #DataTalkClub
Learned about
🔹 Decision Trees for regression
🔹 Random Forest
🔹 Feature importance
🔹 XGBoost parameter tuning
✨More trees isn't always better. There's a sweet spot for model complexity vs performance
➡️ Next up: Midterm project
@Al_Grigor #DataTalkClub
November 9, 2025 at 10:35 PM
Just wrapped up Module 6 of #mlzoomcamp
Learned about
🔹 Decision Trees for regression
🔹 Random Forest
🔹 Feature importance
🔹 XGBoost parameter tuning
✨More trees isn't always better. There's a sweet spot for model complexity vs performance
➡️ Next up: Midterm project
@Al_Grigor #DataTalkClub
Learned about
🔹 Decision Trees for regression
🔹 Random Forest
🔹 Feature importance
🔹 XGBoost parameter tuning
✨More trees isn't always better. There's a sweet spot for model complexity vs performance
➡️ Next up: Midterm project
@Al_Grigor #DataTalkClub
What's a single, powerful metric for model comparison? AUC (Area Under the Curve).
It measures a model's ability to separate positive and negative classes, independent of any specific threshold.
🎯 1.0 = Perfect classifier 🤷 0.5 = Random guessing
#MLZoomcamp #DataTalksClub #LearningInPublic
It measures a model's ability to separate positive and negative classes, independent of any specific threshold.
🎯 1.0 = Perfect classifier 🤷 0.5 = Random guessing
#MLZoomcamp #DataTalksClub #LearningInPublic
October 20, 2025 at 2:06 AM
What's a single, powerful metric for model comparison? AUC (Area Under the Curve).
It measures a model's ability to separate positive and negative classes, independent of any specific threshold.
🎯 1.0 = Perfect classifier 🤷 0.5 = Random guessing
#MLZoomcamp #DataTalksClub #LearningInPublic
It measures a model's ability to separate positive and negative classes, independent of any specific threshold.
🎯 1.0 = Perfect classifier 🤷 0.5 = Random guessing
#MLZoomcamp #DataTalksClub #LearningInPublic
🚀 𝗙𝗶𝗻𝗮𝗹 𝗣𝗿𝗼𝗷𝗲𝗰𝘁: Premier League Football Prediction- mlzoomcamp-datatalksclub
github.com/RuiFSP/mlzoo...
#MachineLearning #DeepLearning #FootballPrediction #DataScience #ML #DataScience #SportsAnalytics #PremierLeague #DataTalksClub
github.com/RuiFSP/mlzoo...
#MachineLearning #DeepLearning #FootballPrediction #DataScience #ML #DataScience #SportsAnalytics #PremierLeague #DataTalksClub
January 25, 2025 at 2:49 PM
🚀 𝗙𝗶𝗻𝗮𝗹 𝗣𝗿𝗼𝗷𝗲𝗰𝘁: Premier League Football Prediction- mlzoomcamp-datatalksclub
github.com/RuiFSP/mlzoo...
#MachineLearning #DeepLearning #FootballPrediction #DataScience #ML #DataScience #SportsAnalytics #PremierLeague #DataTalksClub
github.com/RuiFSP/mlzoo...
#MachineLearning #DeepLearning #FootballPrediction #DataScience #ML #DataScience #SportsAnalytics #PremierLeague #DataTalksClub
This week on #MLZoomcamp a car price prediction model! 🚗Built a linear regression model 📈 from scratch to predict vehicle MSRP. From data cleaning and EDA to regularization, it was an incredible learning journey. #DataTalksClub #LearningInPublic #Regression #MachineLearning
October 5, 2025 at 4:25 PM
This week on #MLZoomcamp a car price prediction model! 🚗Built a linear regression model 📈 from scratch to predict vehicle MSRP. From data cleaning and EDA to regularization, it was an incredible learning journey. #DataTalksClub #LearningInPublic #Regression #MachineLearning
Homework 8 is quite interesting - classification between bees and wasps #mlzoomcamp
November 17, 2023 at 12:29 PM
Homework 8 is quite interesting - classification between bees and wasps #mlzoomcamp
How does a model predict customer churn? 🤔 With Logistic Regression!
A linear model scores a customer, then the sigmoid function squashes that score into a 0-1 probability. High probability = high churn risk! 🎯
Learn more from Alexey Grigorev!
#MLZoomcamp #DataTalksClub #MachineLearning
A linear model scores a customer, then the sigmoid function squashes that score into a 0-1 probability. High probability = high churn risk! 🎯
Learn more from Alexey Grigorev!
#MLZoomcamp #DataTalksClub #MachineLearning
October 13, 2025 at 3:37 PM
How does a model predict customer churn? 🤔 With Logistic Regression!
A linear model scores a customer, then the sigmoid function squashes that score into a 0-1 probability. High probability = high churn risk! 🎯
Learn more from Alexey Grigorev!
#MLZoomcamp #DataTalksClub #MachineLearning
A linear model scores a customer, then the sigmoid function squashes that score into a 0-1 probability. High probability = high churn risk! 🎯
Learn more from Alexey Grigorev!
#MLZoomcamp #DataTalksClub #MachineLearning
Started my first capstone project a bit late, but I still hope to finish it before the deadline #mlzoomcamp
December 16, 2023 at 2:38 PM
Started my first capstone project a bit late, but I still hope to finish it before the deadline #mlzoomcamp
I started my Machine Learning journey few weeks ago with datatalks.club 's #MLZoomcamp and it's been an interesting ride so far from Linear regression to training Models.
October 10, 2025 at 5:42 PM
I started my Machine Learning journey few weeks ago with datatalks.club 's #MLZoomcamp and it's been an interesting ride so far from Linear regression to training Models.
By the way, I found such a great idea for my capstone project with LTSMs and maybe even GPTs #mlzoomcamp
November 26, 2023 at 4:43 PM
By the way, I found such a great idea for my capstone project with LTSMs and maybe even GPTs #mlzoomcamp
Thinking about starting your #MachineLearning journey? Begin with understanding supervised vs. unsupervised learning, and key algorithms like linear regression or decision trees. Small steps lead to big insights! #MLBeginner #mlzoomcamp
October 1, 2025 at 6:57 PM
Thinking about starting your #MachineLearning journey? Begin with understanding supervised vs. unsupervised learning, and key algorithms like linear regression or decision trees. Small steps lead to big insights! #MLBeginner #mlzoomcamp
CRISP-DM
Most ML projects don’t fail because of bad models.
They fail because we skip CRISP-DM:
Business understanding
Data understanding
Data prep
Modeling
Evaluation
Deployment
A 90s framework still relevant today.
It’s not fancy. But it works.
#CRISPDM #MLZoomcamp #LearningInPublic
Most ML projects don’t fail because of bad models.
They fail because we skip CRISP-DM:
Business understanding
Data understanding
Data prep
Modeling
Evaluation
Deployment
A 90s framework still relevant today.
It’s not fancy. But it works.
#CRISPDM #MLZoomcamp #LearningInPublic
September 26, 2025 at 12:57 PM
CRISP-DM
Most ML projects don’t fail because of bad models.
They fail because we skip CRISP-DM:
Business understanding
Data understanding
Data prep
Modeling
Evaluation
Deployment
A 90s framework still relevant today.
It’s not fancy. But it works.
#CRISPDM #MLZoomcamp #LearningInPublic
Most ML projects don’t fail because of bad models.
They fail because we skip CRISP-DM:
Business understanding
Data understanding
Data prep
Modeling
Evaluation
Deployment
A 90s framework still relevant today.
It’s not fancy. But it works.
#CRISPDM #MLZoomcamp #LearningInPublic
I’ve singed for ml zoom camp recently #mlzoomcamp. This week is all about linear regression. I even found my notes from other course to refresh my knowledge
September 23, 2023 at 12:18 PM
I’ve singed for ml zoom camp recently #mlzoomcamp. This week is all about linear regression. I even found my notes from other course to refresh my knowledge