You will get Fake Jobs Postings Detector using Random Forest Classifier
Project details
This project focuses on detecting fraudulent job postings using supervised machine learning techniques. The dataset used contains over 17,000 job listings, including fields such as job title, description, company profile, and employment type. After cleaning and preprocessing the data, I conducted exploratory data analysis (EDA) to identify patterns and trends that differentiate legitimate job postings from fake ones.
Text data was vectorized using TF-IDF, and two classification models—Logistic Regression and Random Forest—were trained and compared. Evaluation metrics such as confusion matrix, classification report, and ROC-AUC curve were used to measure performance. Random Forest yielded slightly better accuracy and robustness in detecting fake job ads.
This project demonstrates my end-to-end data science workflow skills—from raw data handling and feature engineering to model evaluation and result interpretation.
Text data was vectorized using TF-IDF, and two classification models—Logistic Regression and Random Forest—were trained and compared. Evaluation metrics such as confusion matrix, classification report, and ROC-AUC curve were used to measure performance. Random Forest yielded slightly better accuracy and robustness in detecting fake job ads.
This project demonstrates my end-to-end data science workflow skills—from raw data handling and feature engineering to model evaluation and result interpretation.
Machine Learning Tools
Google Sheets, MATLAB, Microsoft Power BI, NumPy, pandas, Python, scikit-learn, SQLWhat's included
| Service Tiers |
Starter
$5
|
Standard
$10
|
Advanced
$15
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 4 days |
Number of Revisions | 2 | 3 | 4 |
Number of Model Variations | 1 | 1 | 2 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
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(+ 3 Days)
+$10About Dev Anand
Data Scientist | Data Analyst | Python & Machine Learning Expert
Thrissur, India - 4:00 pm local time
A data science enthusiast here, with a strong foundation in Python, MySQL, Excel, and Machine Learning. I’m currently expanding my skills and looking to increase my experience in dealing with the real-world problems. Whether it’s cleaning and organizing data or building basic models, I’m ready to contribute and grow with every project.
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