Anix LynchProanixblog.hashnode.dev·Nov 5, 2024Linear RegressionLinear Regression Math Suppose we have a small dataset of points showing the relationship between study hours ( \( x \) ) and test scores ( \( y \) ): Study Hours \( x \)Test Score \( y \) 12 23 35 We want to find the line of best fit to p...Discusslinearregression
Anix LynchProanixblog.hashnode.dev·Oct 3, 202420 Sklearn concepts with Before-and-After Examples1. Model Selection (Splitting) 📝 Boilerplate Code: from sklearn.model_selection import train_test_split Use Case: Split your data into two groups: one for training the model and another for testing how well it performs. 📚🎓 Goal: Ensure the model ...Discusssklearn
ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com·Sep 9, 2024Automating Data Cleaning with Python and Machine LearningData cleaning is an essential step in the data preprocessing pipeline, accounting for the majority of the time spent on data-related tasks. Dirty data—missing values, incorrect formats, duplicates, and outliers—can significantly affect machine learni...Discuss·10 likesPythonPython
Anix LynchProanixblog.hashnode.dev·Aug 4, 2024Sklearn.metrics💯: Evaluating Model Performance with Accuracy, Precision, and Recallfrom sklearn.metrics import accuracy_score, precision_score, recall_score Imagine you run a clothing store and are trying to predict whether a customer will buy a certain type of clothing item based on their income and age. Income: This represents ...Discusssklearn
Anix LynchProanixblog.hashnode.dev·Aug 4, 2024Standardization (Z-Scores) helps make data "apple to apple🍎"?We'll use a school grading system across different subjects as our analogy. import numpy as np import pandas as pd from sklearn.preprocessing import StandardScaler # Example data: test scores in different subjects data = { 'math_score': [65, 70,...DiscussZ-Scores
ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com·Aug 1, 2024Comprehensive Guide to Linear Regression: Examples and Model DiagnosticsLinear regression is one of the simplest yet most powerful tools in the realm of machine learning and statistics. It's a fundamental algorithm that helps us understand relationships between variables and make predictions. Whether you're new to data s...Discuss·30 likes·116 readsMachine LearningPython
Aditya Tiwariadityacodes.hashnode.dev·Jul 24, 2024Scikit-Learn Reference/CheatsheetScikit-learn is an open source machine learning library that supports supervised and unsupervised learning. It also provides various tools for model fitting, data preprocessing, model selection, model evaluation, and many other utilities.I use scikit...Discuss·11 likesTo the Top of AIscikit learn
Sujit Nirmalblackshadow.hashnode.dev·Jul 12, 2024How to Master Decision Trees for Machine Learning ClassificationTopic: Decision Trees for Classification Blog Content: Introduction Welcome back to our journey through the fascinating world of Machine Learning! In our previous blogs, we covered the basics of Machine Learning and delved into Linear Regression. To...Discuss#community healing
Shrey Shahshreyshah173.hashnode.dev·Jul 8, 2024Logistic RegressionWhat is Classification? Before starting Logistic Regression, let me explain the term classification. Classification is a method used to categorize data into different types or groups based on some given criteria. For example, you are given data of ag...DiscussMachine Learning
TemiTope Kayodeblog.codewithtemi.site·Jul 6, 2024Building a Simple Machine Learning Model: A Step-by-Step GuideMachine learning, a revolutionary tool in data interpretation, is transforming how we handle and interpret data. It's the driving force behind many modern applications, from predicting stock prices to recommending products. In this guide, we will wal...Discuss·10.3K readsMachine Learning
