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| Name | Logistic Regression for Classification | Working with a real-world dataset from Kaggle |
| Video Uploader | Video From Jovian |
| Upload Date | This Video Uploaded At 26-06-2021 11:30:12 |
| Video Discription | 💻 For real-time updates on events, connections & resources, join our community on WhatsApp: https://jvn.io/wTBMmV0 In this lesson we will learn about using Logistic Regression for Classification. Logistic Regression is a commonly used technique for solving binary classification problems. You can experiment with the notebook used in the above video here 👉 https://jovian.ai/aakashns/python-sklearn-logistic-regression 🔗 Check out this playlist for the complete lecture series on Gradient Boosting Machines: https://youtube.com/playlist?list=PLyMom0n-MBrq-KvGy4TSEa3PQnZ03OoM6 🎯 Topics Covered • Downloading a real-world dataset from Kaggle • Splitting a dataset into training, validation & test sets • Imputing and scaling numeric features • Encoding categorical columns as one-hot vectors • Training a logistic regression model using Scikit-learn • Evaluating a model using a validation set and test set ❓ Ask Questions here: https://jovian.ai/forum/t/lesson-2-logistic-regression-for- classification/17915 ⌚ Time Stamps: 00:00 Introduction 05:16 Problem Statement 25:43 Downloading a real-world dataset from Kaggle 35:35 Exploring data analysis and visualization 47:06 Splitting a dataset into training, validation & test sets 01:03:04 Filling/Imputing missing values in numeric columns 01:21:55 Scaling numeric features to a(0,1) range 01:28:10 Encoding categorical columns as one-hot vectors 01:39:02 Training a logistic regression model using Scikit-learn 01:53:41 Evaluating a model using a validation set and test set 02:19:38 Saving a model to disk and loading it back 02:36:28 Summary and Conclusion ⚡ Free Certification Course "Machine Learning with Python: Zero to GBMs(Gradient Boosting Machine)" is a practical and beginner-friendly introduction to supervised machine learning, decision trees, and gradient boosting using Python. You will solve 3 coding assignments & build a course project where you'll train ML models using a large real-world dataset. Enroll now: https://zerotogbms.com 🔗 Visit the logistic regression lecture page here: https://jovian.ai/learn/machine-learning-with-python-zero-to-gbms/lesson/logistic-regression-for-classification 🎤 About the speaker Aakash N S is the co-founder and CEO of Jovian - a community learning platform for data science & ML. Previously, Aakash has worked as a software engineer (APIs & Data Platforms) at Twitter in Ireland & San Francisco and graduated from the Indian Institute of Technology, Bombay. He’s also an avid blogger, open-source contributor, and online educator. #GBM #MachineLearning #Python #Certification #Course #Jovian - Learn Data Science the right way at https://www.jovian.ai Interact with a global community of like-minded learners https://jovian.ai/forum/ Get the latest news and updates on Machine Learning at https://twitter.com/jovianml Connect with us professionally on https://linkedin.com/company/jovianml Follow us on Instagram at https://www.instagram.com/jovian.ml/ Subscribe for new videos on Artificial Intelligence https://youtube.com/jovianml |
| Category | Education |
| Tags | machine learning | deep learning | python | data science | regression | python data science | machine learning tutorial | jupyter notebook | machine learning course | logistic regression | logistic regression model | what is logistic regression | logistic regression analysis | logistic regression basics | logistic regression demo | classification | classification machine learning | classification and regression | gradient boosting | gradient boosting machine learning | certification course | jovian |
