Customer Churn Prediction Using Machine Learning | ML Projects | Data Science | Inttrvu.ai скачать в хорошем качестве

Customer Churn Prediction Using Machine Learning | ML Projects | Data Science | Inttrvu.ai

Churn prediction is a critical aspect for businesses across various industries, enabling them to anticipate and mitigate customer attrition effectively.In this video, Mr. Rohit Mande ( Founder, Inttrvu.ai) will cover everything you need to know to build accurate churn prediction models using machine learning algorithms. Why Churn Prediction Matters: Churn prediction isn't just about retaining customers – it's about fostering long-term relationships, driving profitability, and sustaining business success. By harnessing the predictive capabilities of machine learning, organisations can anticipate churn triggers, personalise retention efforts, and ultimately strengthen their competitive edge in the market. Topics Covered: Introduction to Churn Prediction: Understanding what churn is and why it matters to businesses. Data Preparation: Preparing the data for analysis, including data cleaning, feature engineering, and normalisation. Exploratory Data Analysis (EDA): Gaining insights from the data through visualization and statistical analysis. Building Machine Learning Models: Implementing predictive models such as Logistic Regression, Decision Trees, Random Forests, and Gradient Boosting Machines. Model Evaluation: Assessing the performance of the models using evaluation metrics like accuracy, precision, recall, and F1-score. Hyperparameter Tuning: Optimising model performance through hyperparameter tuning techniques. Deployment and Monitoring: Deploying the churn prediction model into production and monitoring its performance over time. By the end of this video, you'll have a solid understanding of how machine learning can be applied to predict churn effectively, enabling businesses to take proactive measures to retain valuable customers. Don't miss out on this opportunity to level up your predictive analytics skills and stay ahead in today's competitive landscape. Whether you're a data scientist looking to enhance your churn prediction skills or a business owner aiming to reduce customer attrition, this video has something for everyone. Join us on this journey to master churn prediction using machine learning and stay ahead in today's dynamic market landscape. Don't forget to like, share, and subscribe for more exciting content on data science, machine learning, and AI! Video Timestamps: 00:00 Introduction 00:34 Problem Statement 04:07 Step 1 Data Gathering 05:20 Step 2 Read and explore the data 16:45 Step 3 Create features from the data 18:38 Step 4 Fit and evaluate model 21:00 Step 5 Try different parameters to identify best ones 23:22 Step 6 Evaluate model with best parameters About Us: Rohit Mande is Founder and CEO of inttrvu.ai. He has 10+ years of professional experience as a Data Scientist. In his previous role as 'Chief Data Scientist at Barclays' he was leading a team of Data Scientists. He has done his Masters from Technical University of Darmstadt, Germany in 2013-2015. He is also having published patent applications listed on Google Patents. He is passionate about helping people in transitioning to Data Science role. Website : https://inttrvu.ai/ Instagram :  / inttrvu.ai   LinkedIn :  / rohit-mande-15a3a154   Mail: [email protected] Contact Number: +91 7756043707 Address: Sr.No.19, Office no. 307, Acharya House, Plot No.24, 12/1, Bavdhan, Pune, Maharashtra 411021 #churnprediction #machinelearning #machinelearningproject #itindustry #datascience #mlprojects