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Just Enough Python

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

Machine Learning in Python | Ajay Tech

Wanted to learn Machine Learning from a live instructor online ? Register for this 45 hour instructor led, online course on Machine Learning in Python. Everything on this page is taught at 1 hour a day on weekdays. This course is designed for absolute beginner's in mind.

A Course in Machine Learning

CIML is a set of introductory materials that covers most major aspects of modern machine learning (supervised learning, unsupervised learning, large margin methods, probabilistic modeling, learning theory, etc.).

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.

Introduction to Universal App Campaigns

The Introduction to App Campaigns online course teaches marketers and app developers how to use App campaigns to grow their app businesses.

Machine Learning with AWS

Develop your machine learning expertise with courses built by the experts at AWS

Python Online Training

Learn Python from BigClasses. Master the professional way of developing an advanced application with industrial standards. Create and build your own application by exploring Python. This Training will help you be an expert in Python Structures, Dynamic Typing, Various Operators_Assignment, Arithmetic, Relational, Logical, and Bitwise Operators, types of functions, OS Modules, CSV, and PDB.

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

Machine Learning Course

This course develops the mathematical basis needed to deeply understand how problems of classification and estimation work. By the end of this course, you'll develop the techniques needed to analyze data and apply these techniques to real-world problems

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.

Practical Deep Learning For Coders

Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD - the book and the course

Machine Learning Training Library

Machine learning is all around us and becoming ever more popular. But what is it? To answer that question, get stuck into the selection of content below that is designed to introduce you to the topic and start you on your journey through the world of machine learning.

Introduction to Machine Learning for Coders

Welcome to Introduction to Machine Learning for Coders! taught by Jeremy Howard (Kaggle's #1 competitor 2 years running, and founder of Enlitic). Learn the most important machine learning models, including how to create them yourself from scratch, as well as key skills in data preparation, model validation, and building data products.

The Complete Python Programming Course for Beginners

Everything You Need to Program in Python in One Course (Includes 3 Real-world Projects)

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.

Python For Beginners: Step-By-Step Hands-On Guide To Python

Whether you are looking to switch your careers and become a full-time programmer, OR you just want to try your hand at building some cool applications or are just seeking to round out your skill set _ learning to code in Python will be a pretty good way to go about it.

Convolutional Neural Networks for Visual Recognition

During the 10-week course, students will learn to implement and train their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.

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