HeyJaredDataTech
Welcome to DataTech, a channel dedicated to data science, machine learning, and practical Python applications. After many years in academia, research, and teaching in the health sciences, I now enjoy exploring and sharing the fascinating world of data science.
- Indexed videos, last 90 days
- 8
- Latest publication
- Sep 19, 2026
- Audience
- ~6 subscribers
- Earliest in this view
- Jul 18, 2026
Latest videos
My Data Science Journey | What’s Next: Classification, Time Series or Audio Analysis? (opens the original)
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What comes next after exploring dimensionality reduction, clustering, and regression? In this video, I reflect on my data science journey—from my earlier experience with multivariate analysis and chemometrics to my more recent exploration of machine learning and Python. I also consider where this journey might take me next and share some of the resources that are helping me along the way. In this video: • The connection: How my earlier research connects with my current interest in data science.
Random Forest Regression in Python | House Price Prediction (opens the original)
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Learn Random Forest Regression in Python! This tutorial uses Scikit-learn to build a house-price prediction model and evaluate its performance. Building on the machine learning series, this video introduces the core principles of Random Forest Regression and demonstrates a complete Python implementation. A house-price dataset with four independent variables is used to show how the data are prepared, the model is trained, and predictions are made. What you'll learn: • How Random Forest combines m
Support Vector Regression with Python | Predicting House Prices with SVR (opens the original)
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Learn how Support Vector Regression (SVR), a supervised machine learning technique, can be used to predict continuous outcomes by fitting a regression function within a specified margin of tolerance. Building on the earlier presentations in this machine learning series, this video introduces the principles of Support Vector Regression and demonstrates a complete Python implementation using scikit-learn. A house-price dataset is used to show how SVR can be applied to predict property prices, incl
Multiple Linear Regression with Python | Predicting House Prices with Multiple Variables (opens the original)
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Learn how Multiple Linear Regression, a supervised machine learning technique, can be used to predict a continuous outcome from several input variables. Building on the earlier presentations in this machine learning series, this video introduces the principles of multiple linear regression and demonstrates a complete Python implementation using scikit-learn. A house-price dataset is used to show how several variables can be combined to predict property prices, including how the data are prepared
YouTube Doubled the Watch Hours — Should Small Creators Continue? (opens the original)
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Learn how recent changes to the YouTube Partner Program may affect small and emerging creators. This video discusses YouTube’s decision to increase the qualified watch-hour requirement for new creators from 4,000 to 8,000 hours from February 2027, and considers what this means for a small educational channel like DataTech. Beyond monetization, the presentation reflects on lifelong learning, learning through teaching, and the role of YouTube in supporting a broader data science journey. Drawing o
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Audience
~6 subscribers
Measured Sep 19, 2026
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