Data Science Portfolio Project - Churn prediction model

In this video tutorial we will do a machine learning project. We will build churn prediction model with Python using bank data. We will apply several algorithms (Random Forest, Logistic Regression, Support Vector Machines, KNN, Gradient Boosting Classifier) and compare their results. ---------------------- Data used in the video - https://www.kaggle.com/datasets/shrutimechlearn/churn-modelling/data ---------------------- 💌 Join my newsletter and get access to various freebies (Books and checklists, CV template, Portfolio Projects) - https://stan.store/KarinaDataScientist ⚡️Just stating with Python? Learn how to clean and manipulate data using Pandas and how to create various types of visuals with Matplotlib. Start your programming journey with "Data Analysis with Python Masterclass" - https://stan.store/KarinaDataScientist/p/start-programming-with-python⚡️ 🧠 AI to help you analyse your data - https://powerdrill.ai/?via=karina-samsonova ---------------------- Timestamps: ---------------------- 00:00 Intro 00:20 What is churn model, applications 03:22 import libraries 04:45 About data 06:35 .info 07:03 null and duplicates 08:12 Label encoding, one-hot encoding 09:25 Feature selection 11:02 Split data into testing and training 12:00 Feature scaling 14:42 RandomForest 16:48 Making predictions 17:01 Confusion matrix, accuracy, classification report 17:33 What is confusion matrix 18:37 How to read classification report 20:00 Accuracy score 20:22 Feature importances 22:58 Logistic regression 24:35 Support Vector Machines 25:46 KNN 27:01 Gradient Boosting Classifier 27:52 How to select an algorithm 29:30 Feature engineering 🎥 Other videos you might be interested in ---------------------- https://youtu.be/p8arik6ZyyI ---------------------- About me ---------------------- Hi, my name is Karina and I'm a finance person turned data person. My mission is to transform intimidating tech into accessible tools. I aim to empower 1 million people to harness the power of AI, Python, SQL, and Excel to work smarter, not harder. Contact ---------------------- Youtube: youtube comments are by far the best way to get a response from me! email for business inquiries only: [email protected] ---------------------- Social Media: ---------------------- TikTok: https://www.tiktok.com/@karinadatascientist Instagram: https://www.instagram.com/karinadatascientist/ Linkedin: https://www.linkedin.com/in/karina-samsonova/ #datascience #pythonprogramming #ml