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ai-ml's Introduction

AI-ML

1โƒฃ Machine Learning for Beginners

๐Ÿ’ป Text-Based Guide: https://www.techwithtim.net/tutorials/machine-learning-python/introduction/

๐Ÿ’พ UCI Student Data Set: https://archive.ics.uci.edu/ml/datasets/Student+Performance

๐Ÿ’พ UCI Car Evaluation Data Set: https://archive.ics.uci.edu/ml/datasets/Car+Evaluation

2โƒฃ Neural Networks

๐Ÿ’ป Text-Based Guide: https://www.techwithtim.net/tutorials/python-neural-networks/what-is-a-nn/

3โƒฃ Simple AI Chat Bot

๐Ÿ’ป Text-Based Guide: https://www.techwithtim.net/tutorials/ai-chatbot/

๐Ÿ’พ JSON-File Download: https://www.youtube.com/watch?v=WFr2WgN9_xE&t=93s&ab_channel=TechWithTim

4โƒฃ Flappy Bird AI

๐Ÿ’ป GitHub/Code: https://github.com/techwithtim/NEAT-Flappy-Bird

๐Ÿ’พ  Images: https://www.youtube.com/watch?v=WFr2WgN9_xE&t=93s&ab_channel=TechWithTim

โญ SOFTWARE DOWNLOADS โญ

๐Ÿ”— Anaconda Download: https://www.anaconda.com/download/

๐Ÿ”— Pycharm Download: https://www.jetbrains.com/pycharm/download/#section=windows

Command Prompt: conda create -n tensor python=3.6 (put this version no matter what you have installed!)

To activate this environment, use

$ conda activate tensor

To deactivate an active environment, use

$ conda deactivate

Command Prompt: pip install tensorflow

Command Prompt: pip install keras

In the edit_config.png you can see in the right top corner that you need to change the configurations, aka change the script path and select the proper .py file!

More on classification, regression, clustering:

https://scikit-learn.org/stable/

More on KNN:

https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsClassifier.html

More on SVM:

https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html

More on KMeans Clustering:

https://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans

https://scikit-learn.org/stable/modules/clustering.html#k-means

TensorFlow:

https://www.tensorflow.org/overview

https://www.tensorflow.org/tutorials/keras/classification

For the neural network part, run:

pip install -q tensorflow==2.0.0 pip install matplotlib pip install pandas

Text classification:

https://www.tensorflow.org/text/tutorials/text_classification_rnn

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