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PYTHON ADA 202211
28 STUDENTS ENROLLED
Course Curriculum
| INTRO TO GOOGLE CLASS ROOM AND COLAB | |||
| GOOGLE CLASSROOM Details | 00:00:00 | ||
| ML TOPIC INTRODUCTION | |||
| ML Topic Introduction Details | 00:00:00 | ||
| ML TOPIC-2 BASIC STATISTICS | |||
| ML Topic-2 Basic Statistics Details | 00:00:00 | ||
| ML TOPIC-3 DATA CLEANING | |||
| ML Topic-3 Data Cleaning Details | 00:00:00 | ||
| ML TOPIC-4 PROJECT ALLOCATION | |||
| ML Topic-4 Project Allocation Details | 00:00:00 | ||
| ML TOPIC-5 REGRESSION ANALYSIS | |||
| ML Topic-5 Regression_Analysis Details | 00:00:00 | ||
| General_project_Q&A Details | 00:00:00 | ||
| ML TOPIC-6 LOGESTIC REGRESSION | |||
| Logestic_ Regression Details | 00:00:00 | ||
| ML TOPIC-7 PROJECT_PHASE-2 | |||
| Project_pahse2 Details | 00:00:00 | ||
| ML TOPIC-8 DECISION_TREES | |||
| Dicision_Trees Details | 00:00:00 | ||
| ML TOPIC-9 MODEL SELECTION AND CROSS VALIDATION | |||
| Model_ Selection_And _Cross_Validation Details | 00:00:00 | ||
| ML TOPIC-10 PROJECT PHASE-3 | |||
| Project_ Phase-3 Details | 00:00:00 | ||
| ML TOPIC-11 FEATURE ENGINEERING | |||
| Feature Engineering Details | 00:00:00 | ||
| ML TOPIC-12 RANDOM FOREST | |||
| Random Forest Details | 00:00:00 | ||
| ML TOPIC-13 BOOSTING | |||
| Boosting Details | 00:00:00 | ||
| PROJECT PHASE-4 | |||
| Project Phase-4 Details | 00:00:00 | ||
| ML TOPIC-14 PROJECT PHASE-5 | |||
| Project Phase-5 Details | 00:00:00 | ||
| ML TOPIC-15 NPL AND TEXT MINING BASIC | |||
| NLP and Text Mining Basic Details | 00:00:00 | ||
| ML TOPIC -16 TESTING OF HYPOTHESIS | |||
| Testing Of Hypothesis Details | 00:00:00 | ||
