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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