Machine Learning Projects for Beginners (Datasets Included)

This video covers some machine learning projects for beginners. Each python machine learning project I discuss has a corresponding dataset that can be found below. As a beginner data scientist I always recommend learning the basics first and then moving into more advanced models and techniques. That is why I recommend starting with linear regression moving to K-Nearest-Neighbors, Using SVM's and finally trying Neural Networks.

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Projects & Datasets:

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Tags:
- Tech With Tim
- Python Tutorials
- Machine Learning Projects
- ML Projects for Beginners
- Machine Learning for Beginners
- Beginner Machine Learning Projects

#Python #MachineLearning #AI

[TechWithTim]

What projects are you working on? Let me know!!

[sa]

This is like a CS course guide for free! Pure gold this content.

[parthaprateempatra]

Summary of the video

#1. Do a linear regression model based project (eg : predicting grades of a student)
#2. A clustering algorithm project(eg : use k nearest means to predict the safety of a car)
#3. Make a project to classify a cancer cell as benign or malignant.
#4. use a neural network to classify digits of MNIST dataset.

[rameshlanka]

research for ML Projects....DUDE, Thank you so

[trevorneri]

Just to clarify for the linear regression project, it seems that from all the variables that Tim was naming would mean that you would doing a multiple linear regression (unless you want to perform a simple linear regression based off one quantitative and explanatory variable) . And from that you need to determine what type of multiple linear regression you are performing: simple, quadratic, cubic, two-lines, 3D, and HD.

For beginners I would definitely recommend the simple and two-lines multiple linear regression. If you’re feeling up to something more challenging, try 3+ lines.

Also make sure that your p-value is significant in your linear regression analysis!

[maze____]

Hey Tim..i'm trying to do the first project you mention here..but im confuse that do i need to merge the two dataset in one df or just to make prediction in separate?

[chenhaowu]

Thanks for the nice considerate instructions for beginners! You are a great guide for us in this route :-)

[clementobeng-manu]

Thanks Tim, would be trying the Breast cancer and MNIST project, I have much interest in neural networks

[OverLordOfDardWorld]

Tim, you’ve done it again!!!!
Thank you

[emmanuelonwoh]

Hearing u speak motivates me
Wish I could meet u in person ❤️

[ankushbanik]

Please bring more project on this topic we need to practice thanks

[shokhjakhonzaynutdinov]

ooo thank you bro, everything is here

[tejaskochar]

How to convert this files with different columns for each data, they all are coming in a single row separated by comma

[Mister_Merb]

Just FYI for anyone working on the KNN "car" dataset. It's not a binary calssification (safe or unsafe), there are 4 labels -> unacc, acc, good, vgood. Hopefully this saves someone the headache of trying binary classification algorithms on this dataset.

[RonnieLutaro]

This guy's explanation is the best

[SB-lcvd]

where is the first project? and how much python do I need to learn?

[hardikalagi]

Hello, can I use the random forest and decision tree for car safety?

[ekaterinaskorokhodova]

Thank you for your informative videos🔥

[ebenezern.o.mensah]

Hello am a beginner in machine learning, I want to work on a sales forecasting project. Is there any way you can help me with tutorial videos. Thank you

[pushpajitbiswas]

What should I learn first Deep learning or Machine learning and what tool should I use pytorch or tensorflow?