Machinelearningalgorithms

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What is machine learning?

Last week at Bitscrunch we got a task to deploy Streamlit application for a quick demo. On first google search found it to be very easy but then it was NOT ! This tutorial is the outcome of extra efforts spend while searching for solutions. Hope it helps others ! Prerequisite: …

Last month as part of MBA i got introduced to machine learning and data science. Some research claims that we forget new learning if not applied soon. So here is an attempt for my first data science assignment. …

What is Supervised Learning? Supervised learning is a machine learning subset where a machine learning model is trained on labeled (inputs) data. As a result, the supervised model is capable of predicting further outcomes (outputs) as accurately as possible. The concept behind supervised learning can be explained from real-life scenarios such as a teacher…

Introduction Classification is one of the most common tasks in machine learning nowadays along with some of common names such as regression and clustering. Its goal is to predict the predefined class label(s) for observation(s) based on observed data, some methods and algorithms. Some examples include classification of spam and not-spam…

Table of contents — The intuition behind decision trees Attribute selection measures Information Gain Gini Index Training Model using both Accuracy and Confusion Matrix Overfitting in Decision Trees Different Methods to Reduce Overfitting Cost Complexity Pruning The intuition behind a decision tree The basic intuition behind a decision tree is to map out all possible decision paths in the form…

This post is about Artificial Neural Networks. Computer Science != Biology. Table Of Contents What is a Neural Network? What are Neural Networks used for? Structure of a Neural Network How Neural Networks work Grab your popcorn, sit comfortably and let’s go 🚀 What is a Neural Network? A Neural Network is a computational model inspired by biological…

part 2 5. Machine Learning Techniques: 5.1 Preparation of Dataset: Before applying any Machine learning techniques, data preparation is an essential part to perform. It is a process of making corrections, combining data if required and reformatting the dataset. STEP 1: The diabetes dataset is a categorical dataset where only…