Description

Build a Data a Data Analysis Library from Scratch in Python targets those that have a desire to immerse themselves in a single, long, and comprehensive project that covers several advanced Python concepts. By the end of the project you will have built a fully-functioning Python library that is able to complete many common data analysis tasks. The library will be titled Pandas Cub and have similar functionality to the popular pandas library. This course focuses on developing software within the massive ecosystem of tools available in Python.

Description

This amazing Mammoth Interactive course will make clear to you many obscure concepts on JavaScript, Python and machine learning! Funded by a #1 Kickstarter Project by Mammoth Interactive Python & JS Masterclass: Build TensorFlow & ES6 Projects is detailed coverage you will not get in other Python courses. Our collaborative instructors will teach you impressive application of machine learning in depth and realistic! Enroll now to learn how to develop in PyCharm Community Edition 2017. In Python & JS Masterclass: Build TensorFlow & ES6 Projects, you will learn the fundamentals of coding in JavaScript, including ES6. You will learn how to change what is displayed on a webpage using JavaScript. No prior experience in JavaScript is required. We will explore ES6 in depth and cover many of its new features. You will learn the newest possibilities and fundamental building blocks of JavaScript. You too can become a web developer by learning the popular programming language JavaScript. You'll also learn hands-on Python coding, TensorFlow logistic regression, regression analysis, machine learning, and data science!

Description

This Mammoth Interactive course was funded by a #1 project on Kickstarter Learn Android Studio, Java, app development, Pycharm, Python coding, Tensforflow, and more with Mammoth Interactive. Build advanced projects using machine learning including advanced the MNIST database with neuron functions. Build a text summarizer and learn object localization, object recognition, and Tensorboard. Machine learning is a machine’s ability to make decisions or predictions based on previous exposure to data and extensive training. In other words, if a machine (program, app, etc.) improves its prediction accuracy through training then it has “learned”. Learn How Models Work! Computational graphs consist of a network of connected nodes (often called neurons). Each of these nodes typically has a weight and a bias that helps determine, given an input, which path is the most likely. There are 4 main components to building a machine learning program: data gathering and formatting, model building, training, and testing and evaluating

Description

Learn the basics of Python in a quick and easy-to-understand course! This course will teach you the fundamentals of Python and covers practice problems so you can advance your Python skills quickly. You will learn about installing / setting up Python, input, output, variables, data types, converting between data types, strings, numbers, arithmetic, conditional statements, loops, lists, tuples, and functions.

Description

In this course, I'll teach you Structured Query Language - SQL for short - the fast and easy way. We'll download and use the free trial version of Microsoft SQL Server and I'll teach you exactly how to use it like a pro. Databases are incredibly important in our modern world, and they remain a mystery to most people. But they're actually pretty easy to use if you know just a few things and I'll teach you those things in this course. When you get right down to it, using Databases with SQL is pretty easy, and actually a lot of fun.