Class 22 | Model Evaluation – Part 2 | ROC Curve Details, ROC-AUC Score & Precision-Recall Curve

Welcome to 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴. This is the 22nd live class of our completely hands-on and practical Data Science & Machine Learning programme. 𝗧𝗼𝗽𝗶𝗰 𝗖𝗼𝘃𝗲𝗿𝗲𝗱 ✔ 𝗠𝗼𝗱𝗲𝗹 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 – 𝗣𝗮𝗿𝘁 𝟮 | 𝗥𝗢𝗖 𝗖𝘂𝗿𝘃𝗲, 𝗥𝗢𝗖-𝗔𝗨𝗖 𝗦𝗰𝗼𝗿𝗲 & 𝗣𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗥𝗲𝗰𝗮𝗹𝗹 𝗖𝘂𝗿𝘃𝗲 📚 𝗜𝗻 𝘁𝗵𝗶𝘀 𝘃𝗶𝗱𝗲𝗼, 𝘄𝗲 𝗰𝗼𝘃𝗲𝗿𝗲𝗱: ✔ Understanding the ROC (Receiver Operating Characteristic) Curve from Scratch ✔ Understanding True Positive Rate (TPR) and False Positive Rate (FPR) ✔ Understanding how the ROC Curve is constructed ✔ Understanding the effect of Classification Thresholds on the ROC Curve ✔ Understanding the ROC-AUC (Area Under the Curve) Score ✔ Understanding the Precision-Recall Curve ✔ Interpreting ROC and Precision-Recall Curves using a real-world Customer Churn dataset 𝗧𝗵𝗶𝘀 full 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗲 𝗰𝗼𝘃𝗲𝗿𝘀 ✔ Python for Data Science ✔ Data Cleaning ✔ Data Analysis ✔ Data Preprocessing ✔ Exploratory Data Analysis (EDA) ✔ Data Visualization ✔ Statistical Analysis ✔ Feature Engineering ✔ Machine Learning Models ✔ Advanced Machine Learning Models ✔ Hyperparameter Tuning ✔ Model Evaluation ✔ Real-world Machine Learning Projects ✔ Model Deployment ✔ Practical Workflow & Guidance ✔ Hands-on Learning Style ✔ Live Step-by-Step Learning System 🎯 This programme is designed with a 𝗽𝗿𝗼𝗷𝗲𝗰𝘁-𝗯𝗮𝘀𝗲𝗱 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄, enabling learners to understand the complete 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲—from 𝗿𝗮𝘄 𝗱𝗮𝘁𝗮 to 𝗺𝗼𝗱𝗲𝗹 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁. 🖥️ Conducted through 𝗭𝗼𝗼𝗺 𝗟𝗶𝘃𝗲 𝗖𝗹𝗮𝘀𝘀 📩 𝗙𝗼𝗿 𝗮𝗱𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗼𝗿 𝗰𝗼𝘂𝗿𝘀𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: WhatsApp: 01922232000 Email: [email protected] 🔔 𝗦𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 for more 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 content. #DataScience #MachineLearning #ModelEvaluation #ROCCurve #ROCAUC #AUC #PrecisionRecallCurve #Precision #Recall #BinaryClassification #ClassificationMetrics #ScikitLearn #MachineLearningCourse #DataScienceCourse #CustomerChurn #PythonForDataScience #Python #AI #HandsOnLearning #DataScienceBD #BanglaTutorial #MLTutorial