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Machine Learning Tutorial | Intellipaat

This machine learning tutorial covers what is machine learning, machine learning algorithms like linear regression, binary classification, decision tree, random forest and unsupervised algorithm like k means clustering in detail with complete hands on demo. There is machine learning complete project and machine learning interview questions as well in this machine learning full course video to prepare you for the job interview.

Neural Network Tutorial | Intellipaat

In this neural network tutorial you will learn what is a neural network, how neural network works, what are activation functions, neural network python tensorflow, neural network python keras, how deep learning frameworks works in detail.

The Real Python Podcast

A weekly Python podcast hosted by Christopher Bailey with interviews, coding tips, and conversation with guests from the Python community.

Podcast.init

Since its beginning in March of 2014 Podcast.__init__ has brought you stories of the people that make the Python community great. Every week a new episode provides useful and informative insights into the projects, platforms, and practices that engineers, business leaders, and data scientists need to know about to learn and grow in their career.

Statistics For Dummies (For Dummies) 2nd Edition

Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life.

What Is Statistics: Crash Course Statistics #1

Welcome to Crash Course Statistics! In this series we're going to take a look at the important role statistics play in our everyday lives, because statistics are everywhere!

Statistics: The average | Descriptive statistics | Probability and Statistics | Khan Academy

Introduction to descriptive statistics and central tendency. Ways to measure the average of a set: median, mean, mode

Statistics 101: Linear Regression, The Very Basics

This is the first Statistics 101 video in what will be, or is (depending on when you are watching this) a multi part video series about Simple Linear Regression.

Statistics Tutorial from Tutorials Point

This Statistics preparation material will cover the important concepts of Statistics syllabus. It contains chapters discussing all the basic concepts of Statistics with suitable examples.

STATISTICS TUTORIALS : BEGINNER TO ADVANCED from Listen Data

This page is a complete repository of statistics tutorials which are useful for learning basic, intermediate, advanced Statistics and machine learning algorithms with SAS, R and Python.

Learning Machines 101

A Gentle Introduction to Artificial Intelligence and Machine LearningSkip to content

Just Enough Python

Python for beginners in Data Science, Machine Learning and Deep Learning

Google Analytics Academy

Analytics Academy helps you learn about Google's measurement tools so that you can grow your business through intelligent data collection and analysis.

Kissmetrics Blog

We analyze your website to identify SEO errors, keyword opportunities, and competition.

Python Matplotlib Tutorial: Plotting Data And Customisation

Matplotlib is a popular Python library that can be used to create data visualizations quite easily. It is probably the single most used Python package for 2D-graphics along with limited support for 3D-graphics.

Python Pandas Tutorial: Installation, Series and DataFrame

This blog article is an excerpt from the Python Basics Handbook created for the simple purpose of making the reader understand the beauty and simplicity of the Python language.

Foundations of Machine Learning by Bloomberg

Understand the Concepts, Techniques and Mathematical Frameworks Used by Experts in Machine Learning

Introduction to R Programming

Here I'd like to walk through my study notes with the most explicit step-by-step directions to introduce you to the world of R.

CS109 Data Science

Learning from data in order to gain useful predictions and insights. This course introduces methods for five key facets of an investigation: data wrangling, cleaning, and sampling to get a suitable data set; data management to be able to access big data quickly and reliably; exploratory data analysis to generate hypotheses and intuition; prediction based on statistical methods such as regression and classification; and communication of results through visualization, stories, and interpretable summaries.

The R Manuals

The following manuals for R were created on Debian Linux and may differ from the manuals for Mac or Windows on platform-specific pages, but most parts will be identical for all platforms.

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