Hello everyone 👋👋.Today we are continuing our journey in machine learning with this 3rd post in the series 👍.Logistic regression is one of the most widely used and popular classification algorithms out there. Due to its diversity, simplicity and robustness, it’s become super popular as a baseline model all along the field 👌.At the heart of logistic regression, is the sigmoid function, a smooth function that takes any value and outputs a value between 0 and 1. This function allows for any input to be “classified” in one of the two binary classes after a threshold is applied 👏.Neat, right? 😍

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👨‍💻 #Machine_Learning

Hi everyone 👋👋 and welcome to another “Intro to Machine Learning” post 🧠.Supervise Learning is everywhere. In fact, 90% of the problems I have solved so far with ML have been through Supervised Learning.With Supervised Learning, you can answer so many questions and become an expert in ML 👌.The two types of Supervised Learning are crucial to Artificial Intelligence: regression and classification.An example of regression is predictions the price of a home based on its number of bedrooms, number of bathrooms, size and age 🏠 ..An example of a classification problem could be predicting whether a cancer tumor is benign or not 💊 .

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👨‍💻 #Machine_Learning

Hi everyone 👋👋.Hope you’re having a nice weekend 👌.Today we are continuing our journey with the “intro to machine learning” series.And of course, SVMs 🎉.SVM or support vector machine is a machine learning algorithm whose job is to find a hyperplane that divides the data for the each label 👍.The power of SVMs comes through especially when the data is non linear or not easily distinguishable by eye!.SVMs use non linear kernels to transform the data to another space where the resulting data points are easily divisible by a hyperplane and then they transform everything including the hyperplane back to the initial dimensions.How cool is that with the right kernel, the SVM in the post was able to figure out the circular pattern of our data points? 👏👏.I personally think it’s absolutely amazing!!.Let me know what you think below.

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👨‍💻 #Machine_Learning

What do you say we learn some machine learning today? 👌🎉.Linear regression is typically one of the first machine learning algorithms we hear about when we start learning about ML in general.Disguised in a simple intuitive algorithm, there exists a series of foundational concepts in ML 🤔.To find a loss function whose minimization gives the problem the optimal result.To visualize that loss function and how to minimize it 👌👌.Did you know that companies such as Zillow and Redfin have used a flavor of Linear Regression to predict prices of homes?!! 😱
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👨‍💻 #Machine_Learning