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Machine Learning Projects for Beginners (Datasets Included)

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Tech With Tim

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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My Machine Learning Tutorials: https://techwithtim.net/tutorials/machine-learning-python/

Projects & Datasets:
* Studnet Perforamce: https://archive.ics.uci.edu/ml/datasets/Student+Performance
* Car Safety: https://archive.ics.uci.edu/ml/datasets/Car+Evaluation
* Breast Cancer Dataset: https://techwithtim.net/tutorials/machine-learning-python/svm-1/
* MNIST Digit Dataset: https://techwithtim.net/tutorials/machine-learning-python/k-means-2/

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– Python Tutorials
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– ML Projects for Beginners
– Machine Learning for Beginners
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37 thoughts on “Machine Learning Projects for Beginners (Datasets Included)”

  14. I am in the field of education. I want to predict which students are more at risk of not succeeding in school based on attendance history and current attendance, test scores, grade level, ELL status and more.

  17. Love it man! Thank you for the great tips and resources. We need more people like you in the Machine Learning community. I've uploaded my first video documenting my journey through Machine Learning. Linear Regression by the way. Check it out if you have time! ❤

  22. I have a bit of an odd question if anyone can answer. I'm trying to remember the name of the company that builds performance computers that are well suited for Python / Machine learning / etc. They build both desktop and laptop with multi GPU capability. Its been about a year since I came across them and now can't remember their name. Any help????

  23. #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 endless digit dataset

  34. Hey Tim! It's great work that you are doing here. I want to ask about my personel projects. Do you think that anyone can learn Machine Learning by studying from online (from Kaggle, Github, Udemy etc.) only?

  37. I know nothing about ML. However, I have been programming games, apps and web since a decent amount of time. So can anyone here tell me where I have to started with machine learning?

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