### Data Scientist’s Guide to Logistic regression

ArticleVideo Book Objective Why the Linear regression model will not work for classification problems. How Logistic regression model is derived from a simple linear …

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ArticleVideo Book Objective Why the Linear regression model will not work for classification problems. How Logistic regression model is derived from a simple linear …

ArticleVideo Book Introduction We frequently use the term Probability but don’t realize how powerful this concept is. In simple terms, the probability is the …

ArticleVideo Book Objective Optimization is the core of every machine learning algorithm. Understand how the Gradient descent algorithm works and optimize model performance. Note: …

ArticleVideo Book Introduction While dealing with Linear Regression we can have multiple lines for different values of slopes and intercepts. But the main question …

ArticleVideo Book Objective Binary Classification is a recurrent problem in the data science world. Understand the Binary cross entropy and the math behind it …

ArticleVideo Book Introduction Perceptron is one of the most fundamental concepts of deep learning which every data scientist is expected to master. It is …

ArticleVideo Book Introduction If there is one area in data science that has led to the growth of Machine Learning and Artificial Intelligence in …

ArticleVideo Book Introduction According to industry estimates, only 21% of the available data is present in a structured form. Data is being generated as …

ArticleVideo Book This article was published as a part of the Data Science Blogathon. INTRODUCTION Hi, in this tutorial, we are going to have …

ArticleVideo Book Overview Here is a list of Top 10 Data Science Webinars Organized by Analytics Vidhya in 2020 These Data Science Webinars are …

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