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5 Data Scientist Hands-on Projects
Introduction
Welcome & Course Overview (2:20)
Importance of Hands-on Projects in Data Science (3:35)
Code of Conduct
Project 1: Walmart Weekly Sales Forecasting System
1.1 Project Overview & Resume Bullets (6:24)
1.2 Walmart Weekly Sales Forecasting – Time Series Analysis & Detailed Breakdown
1.3 Future Work Ideas
Project 2: Amazon Sales Insights - A/B Testing, LTV Modeling & Product Sense
2.1 Project Overview & Resume Bullets (7:03)
2.2 Amazon Sales Insights: A/B Testing, Engagement Analysis & LTV Modeling Detailed Breakdown
2.3 Future Work Ideas
Project 3: Uber Fare Prediction Using Spatial - Temporal Modeling
3.1 Project Overview & Resume Bullets (6:20)
3.2 Uber Fare Prediction Using Spatial–Temporal Modeling Detailed Breakdown
3.3 Data Cleaning & Pre-clean Analysis
3.4 Feature Engineering
3.5 Exploratory Data Analysis (EDA)
3.6 Train–Test Split
3.7 Model Training & Evaluation
3.8 Evaluation & Feature Importance
3.9 Hyperparameter Optimization
3.10 Future Work Ideas (2:27)
Project 4: Airbnb Hybrid Recommendation Model
4.1 Project Overview & Resume Bullets
4.2 Airbnb Recommendations Model with Categorical & Non-Categorical Features
4.3 Future Work Ideas
Project 5: YelpSphere - Geo-Based Cluster Analysis
5.1 Project Overview & Resume Bullets
5.2 YelpSphere : Location-Based Cluster Analysis Detailed Breakdown
5.3 Future Work Ideas
Congratulations & What's Next
Recap & Next Steps
2.2 Amazon Sales Insights: A/B Testing, Engagement Analysis & LTV Modeling Detailed Breakdown
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