Jyotiprakash Mishrablog.jyotiprakash.org·Dec 17, 2024Introduction to Linear and Logistic Regression in PythonMachine learning often seems intimidating at first glance, but at its core, it builds upon mathematical concepts we're already familiar with. Let's demystify two fundamental regression techniques through their mathematical foundations. Linear Regress...3 likes·248 readsMachine Learning
Japkeerat Singhjapkeeratsingh.com·Dec 11, 2024Is the Model making right predictions? - Part 3 of 5 on Evaluation of Machine Learning ModelsWhen it comes to evaluating machine learning models, picking the right metric is like picking the right outfit for an occasion—it can make or break your impression. Sure, accuracy and precision-recall are great, but they sometimes fall short. AUC-ROC...Machine LearningMachine Learning
Komal Nihalanilearningintech.hashnode.dev·Dec 10, 2024From Data to Insights: Predicting Customer Churn Using Python.Introduction Let’s be real: no business likes to lose customers. But it happens, and when it does, it’s called customer churn—a fancy term for when someone stops using your product or service. For industries like telecom, SaaS, or subscription servic...Machine Learning
Parastech-essentials.hashnode.dev·Dec 4, 2024Machine Learning Interview Prep: Key Questions for 2025 SuccessAs machine learning (ML) continues to shape industries, the demand for skilled professionals in this field has never been higher. For aspiring data scientists, machine learning engineers, and AI enthusiasts, acing an ML interview requires both techni...Machine Learning
Savulla vaishnavivaishnavi-savulla.hashnode.dev·Nov 30, 2024Forecasting Commodity Prices and Arrivals in Telangana: A Machine Learning and Time Series Analysis ApproachI'm thrilled to share a project that has been both challenging and enlightening! Although the journey had its obstacles, it was a rewarding path of personal and professional growth. Here are some key highlights of the process, insights gained, and le...machine learning models
Cyber Michaelacybermichaela.hashnode.dev·Nov 29, 2024Step 2 to Mastering Machine Learning: Preprocessing, Training, and Tuning Models4. Preprocessing Guide 4.1 Data Loading and Exploration 4.1.1 Loading Data with Pandas Reading Datasets (.csv, .xlsx, .json, etc.) Using pandas.read_* Functions Pandas is the most widely used library for loading and manipulating tabular data in Pyth...1 likePython
Cyber Michaelacybermichaela.hashnode.dev·Nov 29, 2024Step 1 to Mastering Machine Learning: Exploring Categories and Key Algorithms1. Introduction 1.1 What is Machine Learning? Machine learning is a field of computer science that allows systems to learn and make decisions from data without being explicitly programmed. Instead of following a set of hard-coded rules, machine learn...Python
Fatima Jannetmahia.hashnode.dev·Nov 27, 2024ML chapter 10: Model Selection & BoostingWelcome to the final part of our journey. After we built our Machine Learning models, I guess we still have some questions: How do we handle the bias-variance tradeoff when building a model and checking its performance? How do we pick the best valu...10 likes·28 readsMachine Learning (Python)Xgboost
Fatima Jannetmahia.hashnode.dev·Nov 26, 2024ML Chapter 8.2 : Deep LearningWelcome to Part 8.2 - Deep Learning! Deep Learning is the most exciting and powerful branch of Machine Learning. If you're new to this blog, I strongly advise you to read the previous blogs because this one is quite advanced. Thank you! Plan of attac...11 likes·234 readsMachine Learning (Python)Deep Learning
Fatima Jannetmahia.hashnode.dev·Nov 21, 2024ML Chapter 8.1 : Deep LearningWelcome to Part 8.1 - Deep Learning! If you're new to this blog, I strongly advise you to read the previous posts because this one is quite advanced. Thank you! Deep Learning is the most exciting and powerful branch of Machine Learning. Deep Learning...10 likes·103 readsMachine Learning (Python)Deep Learning
