Introduction to Descriptive #Statistics and Probability for Data Science

Table of Contents:
 Introduction
 Measure of Central Tendency (Mean, Mode, Median)
 Measures of Variability (Range, IQR, Variance, Standard Deviation)
 Probability (Bernoulli Trials, Normal Distribution)
 Central Limit Theorem
 Z scores

#Book

🗡"Data is the sword of the 21st century, those who wield it well, the Samurai."*

#Git Cheat Sheet

“I like the night. Without the dark, we'd never see the stars.”

Difference Between a Scalar, a Vector, a Matrix and a tensor

🔒Take control of your data before someone else takes control over it ‼️

Python 3.9 New Feature | Dictionary Merge and Update Operator:

https://www.youtube.com/watch?v=3wft0O8g2FQ&feature=youtu.be

Google can also solve 1st and 2nd degree algebraic equations. The result provided by Google is a step-by-step guide to solving these types of equations.

🔗 Sample link [+]

Open Source, Distributed Machine Learning for Everyone

#H2O is a fully open source, distributed in-memory machine learning platform with linear scalability. H2O supports the most widely used statistical & machine learning algorithms including gradient boosted machines, generalized linear models, deep learning and more. H2O also has an industry leading AutoML functionality that automatically runs through all the algorithms and their hyperparameters to produce a leaderboard of the best models. The H2O platform is used by over 18,000 organizations globally and is extremely popular in both the R & Python communities.

🔗https://www.h2o.ai/

#Data #Scientist

#Data #Scientist