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2020 Machine Learning Roadmap
A beginner mind map (and presentation) connecting many of the most foundational concepts in machine learning.
machine-learning data-science introduction beginner
How to write an Awesome README
A comprehensive guide to writing README that stands out and makes people go WOW!
data-science program-development documentation machine-learning
Introducing Streamlit Sharing
Deploy, manage, and share your Streamlit apps for free.
deploy data-science article code
Scikit-learn Advanced Features | Data Science
It demonstrates some useful scikit-learn concepts in transforming features, pipelining, grid search, and much more.
machine-learning scikit-learn data-science feature-engineering
Diabetes Classifier
The machine learning model uses DecisionTree classifier to predict whether a person is diabetic or not
decision-trees machine-learning exploratory-data-analysis data-science
Beginner’s Guide to Linear Regression with cuML
Break down of simple & multiple linear regression and how to easily implement both in Python with RAPIDS AI’s cuML
linear-regression data-science python rapids
Personal Data Science Learning Plan
This is my personal learning plan that I followed to transition from a software-engineer role to an Machine Learning Engineer role.
data-science machine-learning code tutorial
Practical Sampling Distribution and Central limit theorem
Whenever it comes to Statistical Data Analysis or Exploratory Data Analysis, we have to go through the distribution of the data. So while working on the ...
sampling-distribution central-limit-theorem data-engineers data-science
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