About
I’m a mortgage operations and production leader with over 6 years of experience in…
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2K followers
Experience
Education
Volunteer Experience
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Volunteer
New Life Fellowship Church
- Present 23 years
Poverty Alleviation
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President
TLT Baseball Foundation
- Present 2 years 11 months
Children
Courses
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Calculus
I,II,III
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Computer Systems
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Data Structures
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Discrete Structures
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Formal Methods
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Operating Systems
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Programming Paradigms
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Social Action and Justice
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Projects
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Data Wrangling with Python
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HOUSE PRICE PREDICTION: ADVANCED REGRESSION TECHNIQUES- PRE-PROCESSING AND TRAINING DATA DEVELOPMENT
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In this notebook, we performed pre-processing and training data development for our home price prediction project. We started by standardizing the numeric features using a scaler to ensure consistent scales across variables. Next, we applied Principal Component Analysis (PCA) to reduce the dimensionality of our dataset and capture the most important features. We found that around 66% of the variance could be explained with 8 principal components. Finally, we saved the transformed datasets to be…
In this notebook, we performed pre-processing and training data development for our home price prediction project. We started by standardizing the numeric features using a scaler to ensure consistent scales across variables. Next, we applied Principal Component Analysis (PCA) to reduce the dimensionality of our dataset and capture the most important features. We found that around 66% of the variance could be explained with 8 principal components. Finally, we saved the transformed datasets to be used in the next notebook for modeling and evaluation.
Languages
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Spanish
Limited working proficiency
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English
Native or bilingual proficiency
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