Python Machine Learning for Dummies: Scikit-Learn Tutorial for Beginners

In this video, I’ll guide you step-by-step to build your first machine learning model in Python.

Perfect for beginners, this tutorial simplifies complex concepts using Scikit-Learn, one of the most popular libraries for machine learning.

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🎬 Timestamps:
00:00 | Machine Learning in Python
4:25 | Import Scikit-Learn
8:42 | Preprocess Data for ML
18:40 | Create Features and Targets
23:00 | Hyperparameter Tuning
28:00 | Evaluate Model
32:55 | Create a Heatmap with Seaborn

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Tag ~ zero to knowing

#zerotoknowing #learnpython #pythonforbeginners #100daysofcode #techeducation #python #pythontutorial #pythonprogramming #datascience #machinelearning #machinelearningwithpython

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[codewithjoshoffical]

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[Monamagulakda]

Your ability to simplify complicated topics is impressive. It makes learning enjoyable

[surkewrasoul]

Bro You are a genius, Please do continue your series with advanced python and also machine learning If It's not too much to ask, Thanks

[ndhakal]

Love it as it’s the best place to lear in depth making foundation strong.

[irfanshaikh]

19:56 we most definitely do Josh. We need it

[davidlu]

More precise, x86 NASM Assembly😁😁😁Now, I roughly know what is going on when the computer executes codes, no matter python or c, c# etc.

[kinggameryt]

Bro keep it fast this journey wating....

[schattigepoepie]

As a total newbie to ML, this was a very helpful tutorial!
But aren't the y-axis labels supposed to be the other way around?

[wombaat]

This is awesome. I'm looking for some more guidance on ML. One question, can you clarify more the difference between KNN and random forest? Should I use one over the other? Thanks lots

[ahmedbadal]

Why are some individuals naturally skilled at programming while others struggle for years to achieve the same proficiency

[davidlu]

Dear Josh, my dear friend, guess what I am learning right now? lol, you cannot believe I am learning Assembly...😁😁😁Well, the reason I learn assembly is that I find it is fun and helpful for me to understand what is going on in computer when it executes the code.

[One_PiEcE_-fojr]

I've started ML, for an elective project to build a model to predict whether a patient need hospital admission based on Fever, wonder how many parameters can I scale the model upto..(Not sure if I'm using the right terms) Your course definitely helps me to figure out a path of some sort....
I'll drop in feedback once I complete this first project myself.. (on my second watch)
Questions right off the top of my head,
1. I wanted to know if I could use deepseek-r1 for something like that, where I feed it the data teach it how to interpret it, and so on..

btw, your videos are so underrated....

[TheAdventureOfLife]

Been waiting for some ML content, legend ✌🏼

[xolanijozi]

Nice video, but one need to process both the training and testing set separately, to avoid data leakage

[irfanshaikh]

Hey Josh, Awesome content as ever.
One question.
Why didnt you dropped the column "Embarked" at line 20 itself.
What was the need to fillna() "Embarked" with "S" and then drop it in line 22 and 23.
Im a bit confused.

[dennisbunarta]

Love the video Josh, by the way, why do we fillna the embarked only to delete the column? What's the reason for that?

[TaylorShort-cs]

Great video! Thank you!

I am having a heck of a time clearing up one of the errors I'm getting. I've tried using ChatGPT to troubleshoot but no luck so far. Here's the error:

Traceback (most recent call last):
File "/Users/user/Desktop/Programming/titanic.py", line 70, in <module>
best_model = tune_model(X_train, y_train)
File "/Users/user/Desktop/Programming/titanic.py", line 67, in tune_model
grid_search.fit(X_train, y_train)

a little below that there's also this:

ValueError:
All the 600 fits failed.
It is very likely that your model is misconfigured.
You can try to debug the error by setting error_score='raise'.

Any thoughts? I've ensure my code looks the same as yours; not sure what I'm missing.