###### #Machine Learning ### Linear Regression Using Gradient Decent

This is 𝓛𝓲𝓷𝓮𝓪𝓻 𝓡𝓮𝓰𝓻𝓮𝓼𝓼𝓲𝓸𝓷 𝓤𝓼𝓲𝓷𝓰 𝓖𝓻𝓪𝓭𝓲𝓮𝓷𝓽 𝓓𝓮𝓬𝓮𝓷𝓽 optimized to 50 milliseconds (average of 12).  ### KNN Algorithm

This is an KNN algorithm made using dictionaries and for loops.  ### KNN(K Nearest Neighbors)

This is my final version of K Nearest Neighbors. I still may need to add more points.  ### KNN(K Nearest Neighbors)

This is my final version of K Nearest Neighbors. I still may need to add more points.  ### K Means Clustering

K Means Clustering Algorithm w/ a fixed value for k ---------------------------------------------------------------- Takes in a set of data points and groups them into k # of effective clusters.  ### KNN(K Nearest Neighbors)

This is my version of K nearest neighbors in python. What this code is doing is it is taking in a point entered by the user. Then is finds what color that point belongs in. So far my code is only able to categorize the point when asked for only one nearest point, I will have to work on this in the future. I will also have to add more points to the data set.  ### K Means Clustering In Infinite Dimensions (Without Sklearn)

This is K Means Clustering in infinite dimensions finally complete! K Means Clustering follows under the category of clustering (hence the name). Clustering falls under another subset of machine learning called unsupervised machine learning, which is doing machine learning on datasets without labels. I have provided a 2d dataset and a 4d dataset to test my model. Both of which worked. Sometimes you will get a Zero Division Error, if that occurs, just run the code until it works. To learn more about K Means Clustering, go to the following tutorial: https://www.youtube.com/watch?v=4b5d3muPQmA&t=296s   ### Hierarchical Clustering from Scratch

My progress in coding the hierarchical clustering algorithm so far. I have to troubleshoot it now and then I will be done.  ### Hierarchical Clustering from Scratch

My progress on the Hierarchical Clustering algorithm so far. I have identified the centroids of the original clusters so far  ### K-Means Clustering from Scratch Completed

My rendition of the K-Means Clustering algorithm without using any machine learning packages. I haven't gotten an output yet, so if anyone could help with that it would be greatly appreciated.  ### K-Means Clustering from Scratch

The second check in on my progress of coding KMC by scratch. I am almost done. I need to find a recursive call that functions properly, and then I will be finished.  ### K Nearest Neighbor (KNN) 