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arahm071
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Melbourne-Modeling-Journey
Learn alongside me as I navigate the challenges of applying data science concepts to real-world data. This project highlights the importance of data preparation, modeling strategies, and the impact of data quality on analysis outcomes.
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fixing readme
#12
arahm071
closed
8 months ago
0
wrangling update on readme
#11
arahm071
closed
8 months ago
0
Feature/5 enhanced regression analysis
#10
arahm071
closed
8 months ago
0
Regression Model Refinement: Identifying and Mitigating Non-Normality and Heteroscedasticity in Housing Data Analysis
#9
arahm071
opened
9 months ago
3
Organized Project Structure and Prepared for Documentation/Reporting
#8
arahm071
closed
10 months ago
0
Time Series Analysis with Melbourne Housing Data
#7
arahm071
closed
10 months ago
0
Time Series Analysis: Understanding Melbourne Housing Trends
#6
arahm071
closed
10 months ago
5
Regression Model Implementation for Melbourne Housing Dataset
#5
arahm071
closed
10 months ago
0
Refactor File Naming and Enhance Script Readability
#4
arahm071
closed
10 months ago
0
Regression Model Diagnostics: Addressing Residuals, Autocorrelation, and Multicollinearity
#3
arahm071
closed
10 months ago
3
Task/optimize 2 explore analyze
#2
arahm071
closed
11 months ago
0
Add testing.py to .gitignore to exclude it from version control
#1
arahm071
closed
11 months ago
0