Zodiac Matchmaker - OkCupid's Data Dive

Successfully explored OkCupid's users data and predicted their astrological signs based on the information contained in their profiles by building ML Model

About Project

This project dives into OKCupid's online dating data, aiming to predict users' astrological signs from their profiles. Given the importance of astrology in matchmaking, our goal is to enhance user experiences and assist OkCupid in predicting signs for users who haven't provided their zodiac signs.

Project was executed in following stages

Stage 1: Importing Data & Python Modules
Stage 2: Exploratory Data Analysis (EDA)
Stage 3: Handling Missing Data/ Data Preprocessing
Stage 4: Data Splitting

Stage 5: Model Building

Logistic Regression Modeling
K Nearest Neighbor
Decision Tree Modeling

Stage 6: Model Improvement & Evaluation

Confusion Matrix Model Cross-Validation
Improving Decision Tree Model
Final Model Evaluation
Confusion Matrix Analysis

Stage 7: Conclusion

Project was executed in following stages

Stage 1: Importing Data & Python Modules
Stage 2: Exploratory Data Analysis (EDA)
Stage 3: Handling Missing Data/ Data Preprocessing
Stage 4: Data Splitting

Stage 5: Model Building

Logistic Regression Modeling
K Nearest Neighbor
Decision Tree Modeling

Stage 6: Model Improvement & Evaluation

Confusion Matrix Model Cross-Validation
Improving Decision Tree Model
Final Model Evaluation
Confusion Matrix Analysis

Stage 7: Conclusion

Project was executed in following stages

Stage 1: Importing Data & Python Modules
Stage 2: Exploratory Data Analysis (EDA)
Stage 3: Handling Missing Data/ Data Preprocessing
Stage 4: Data Splitting

Stage 5: Model Building

Logistic Regression Modeling
K Nearest Neighbor
Decision Tree Modeling

Stage 6: Model Improvement & Evaluation

Confusion Matrix Model Cross-Validation
Improving Decision Tree Model
Final Model Evaluation
Confusion Matrix Analysis

Stage 7: Conclusion

Project was executed in following stages

Stage 1: Importing Data & Python Modules
Stage 2: Exploratory Data Analysis (EDA)
Stage 3: Handling Missing Data/ Data Preprocessing
Stage 4: Data Splitting

Stage 5: Model Building

Logistic Regression Modeling
K Nearest Neighbor
Decision Tree Modeling

Stage 6: Model Improvement & Evaluation

Confusion Matrix Model Cross-Validation
Improving Decision Tree Model
Final Model Evaluation
Confusion Matrix Analysis

Stage 7: Conclusion

Project Stack

Python, EDA, Data Viz, ML

Project Stack

Python, EDA, Data Viz, ML

Role

Data Analyst, Data Scientist

Role

Data Analyst, Data Scientist

Services

EDA. Data Viz, ML Modeling

Services

EDA. Data Viz, ML Modeling

CodeBase

GitHub Repo

CodeBase

GitHub Repo

Jupyter Notebook

Nbviewer

Jupyter Notebook

Nbviewer

Our project aimed to predict astrological signs, crucial for matchmaking on OkCupid. However, the model's performance was akin to random guessing, prompting the need for further refinements, additional data, or alternative models to improve predictive accuracy in future iterations.

Waqas Ahmad – Data Analyst

Take me back home