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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine-Learning-For-Everybody\n\nThis is a folder 📂 that contains the \u003ccode\u003ecodes \u003c/code\u003e🧑‍💻, \u003ccode\u003edata files \u003c/code\u003e🔢 and \u003ccode\u003enotes \u003c/code\u003e📝 from the course that was sponsored by the FreeCodeCamp and taught by \u003cb\u003eKylie Ying\u003c/b\u003e. 👩‍🏫\n\n\u003cbr\u003e\n\u003cbr\u003e\n\n## ⭐️ Contents ⭐️\n\n\u003cpre\u003e\n⌨️ Introduction\n⌨️ Data/Colab Introduction\n⌨️ Introduction to Machine Learning\n⌨️ Features\n⌨️ Classification/Regression\n⌨️ Training Model\n⌨️ Preparing Data\n⌨️ K-Nearest Neighbors\n⌨️ KNN Implementation\n⌨️ Naive Bayes\n⌨️ Naive Bayes Implementation\n⌨️ Logistic Regression\n⌨️ Logistic Regression Implementation\n⌨️ Support Vector Machine\n⌨️ SVM Implementation\n⌨️ Neural Networks\n⌨️ Tensorflow\n⌨️ Classification NN using Tensorflow\n⌨️ Linear Regression\n⌨️ Linear Regression Implementation\n⌨️ Linear Regression using a Neuron\n⌨️ Regression NN using Tensorflow\n⌨️ K-Means Clustering\n⌨️ Principal Component Analysis\n⌨️ K-Means and PCA Implementations\n\u003c/pre\u003e\n\n\u003cbr\u003e\n\n\u003cbr\u003e\n\n## ⭐️ Resources ⭐️\n\n\u003cpre\u003e\n🔗 \u003ca href=\"https://archive.ics.uci.edu/dataset/159/magic+gamma+telescope\"\u003eMAGIC DATASET\u003c/a\u003e \n\n🔗 \u003ca href=\"https://archive.ics.uci.edu/dataset/560/seoul+bike+sharing+demand\"\u003eBIKE DATASET**\u003c/a\u003e \n\n🔗 \u003ca href=\"https://archive.ics.uci.edu/dataset/236/seeds\"\u003eSEEDS/WHEAT DATASET\u003c/a\u003e \n\n** NOTE: \n        For the bikes dataset, please open the downloaded csv file and remove special characters.\n\u003c/pre\u003e\n\n\u003cbr\u003e\n\u003cbr\u003e\n    \n    \n## 📌 Check out the course on YouTube 👇👇\n\n\u003ch2 align=\"center\"\u003e \n    \u003cb\u003e \n        \u003ca \n        href=\"https://youtu.be/i_LwzRVP7bg?feature=shared\" target=\"_blank\"\u003e\n            Machine Learning for Everybody Full Course\n            \u003c/a\u003e \n    \u003c/b\u003e \n    \u003cbr\u003e\u003cbr\u003e\n\u003c/h2\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Favinashyadav16%2Fmachine-learning-for-everybody","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Favinashyadav16%2Fmachine-learning-for-everybody","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Favinashyadav16%2Fmachine-learning-for-everybody/lists"}