HN user

selva86

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Comments19
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r-statistics.co 2mo ago

Build MCMC from Scratch in R: The 50-Line Algorithm Behind Brms and Stan

selva86
2pts0
r-statistics.co 3mo ago

Object Oriented Programming (OOP) in R Explained

selva86
1pts0
machinelearningplus.com 4mo ago

Pandas Exercises for Data Analysis (Interactive)

selva86
126pts33
pythoncompiler.io 5mo ago

The Python Book = Interactive Python Tutorial from Basic to Expert

selva86
3pts2
pythoncompiler.io 5mo ago

Online Python Compiler – IDE, notebook, editor (no login local)

selva86
1pts2
www.machinelearningplus.com 2y ago

SQL Window Functions – Made Simple and Intuitive

selva86
3pts1
www.machinelearningplus.com 6y ago

Principal Components Analysis (PCA) – Better Explained

selva86
3pts0
www.machinelearningplus.com 6y ago

What Is P-Value – A Complete Beginners Guide from Scratch

selva86
1pts1
www.machinelearningplus.com 6y ago

Understanding P-Value from Scratch – Machinelearningplus

selva86
2pts0
www.machinelearningplus.com 7y ago

Vector Autoregression (Var) – Comprehensive Guide with Examples in Python

selva86
2pts0
www.machinelearningplus.com 7y ago

The Simplest Guide to Python Logging with Practice Exercises

selva86
2pts0
www.machinelearningplus.com 7y ago

Caret Package – A Practical Guide to Machine Learning in R

selva86
49pts3
www.machinelearningplus.com 7y ago

Complete Guide to Time Series Forecasting with Arima Models```

selva86
3pts0
www.machinelearningplus.com 7y ago

Comprehensive Guide to Time Series Analysis (with Full Examples)

selva86
3pts0
www.machinelearningplus.com 7y ago

Matplotlib Tutorial: Complete Guide to Making Plots in Python (2019)

selva86
2pts0
www.machinelearningplus.com 7y ago

[New] Top 50 Matplotlib Visualizations – The Master Plots (Full Python Code)

selva86
3pts0
www.machinelearningplus.com 7y ago

[Tutorial] How Naive Bayes Algorithm Works? (from Scratch with Full Code)

selva86
2pts0
www.machinelearningplus.com 7y ago

How to parallelize Cpu-bound problems in Python exclusively with Pool? [Guide]

selva86
2pts0
www.machinelearningplus.com 7y ago

Cosine Similarity – Understanding the math and how it works?

selva86
4pts0
www.machinelearningplus.com 7y ago

Gensim Python Tutorial – A Complete Guide to NLP for Beginners

selva86
4pts0
www.machinelearningplus.com 8y ago

[Python] 101 Pandas Exercises for Data Analysis (with Solutions)

selva86
4pts0
www.machinelearningplus.com 8y ago

Extracting hidden conversation topics is easier than you think – Python Gensim

selva86
2pts0
www.machinelearningplus.com 8y ago

LDA in Python – How to gridsearch optimal topic models to unearth hidden topics?

selva86
3pts0
news.ycombinator.com 8y ago

Topic Modeling in Python with Gensim – A Complete Guide

selva86
2pts0
www.machinelearningplus.com 8y ago

Caret Package – A Complete Guide to Building Machine Learning in R

selva86
2pts0
www.machinelearningplus.com 8y ago

NumPy Exercises for Data Analysis in Python

selva86
466pts33
www.machinelearningplus.com 8y ago

Numpy Tutorial Part 2 – Vital Functions for Data Analysis

selva86
1pts0
www.machinelearningplus.com 8y ago

The Ultimate NumPy Tutorial – For RStats folks who wanted to do python someday

selva86
2pts0
www.machinelearningplus.com 8y ago

Python Regular Expressions Tutorial and Examples: A Simplified Guide

selva86
2pts0
r-statistics.co 9y ago

Top 50 Ggplot2 Visualizations – The Master List

selva86
1pts0
[dead] 4 months ago

Learn Python by writing Python - Interactive tutorials, no login

This will be a helpful resource for those who prefer to learn via books and blog, but also want to practice what they learn in the same page. So, this is like a blog but is also a fully functional Python notebook which you can use to workout python code and also solve exercises. It's meant to be comprehensive starting from the very basic to advanced Python concepts that's not often discussed in classrooms, in one sequential flow of lessons. I hope you enjoy it!

[dead] 2 years ago

Whether you are a beginner or looking to level up your Data Science / AI / ML skills, I’ve put together a structured guide to navigate your AI journey with the Complete Data Science Pathway by ML+

[dead] 3 years ago

Linear regression doesn't perform when you have outliers in data. Let's understand clearly why this is so and how Robust regression overcomes this problem mathematically.

[dead] 3 years ago

Solve real challenges on SQL window functions, try to solve it hands on and check with the provided solutions.

[dead] 3 years ago

A complete learning path of 40+ courses to become conceptually strong in AI and Data Science.

In depth, simple and intuitive explanations of concepts with practical hands-on and build portfolio projects.

You're right, its not really a reference. But with the understanding, one should be quipped with the knowledge to make any ggplot. It's meant to be a tutorial that explains the structure to make any ggplot. Especially for beginners for whom the ggplot syntax didn't immediately click and those who struggle for long trying to get their ggplot right.