Hands-On Neural Networks: Build Machine Learning Models | Data Science Online Course by Udemy

Development Online Course by Udemy, On Sale Here

Credit Fraud Detection & Stock Analysis – No Experience Required. Learn to Base Predictions With Python & Tensorflow

An excellent training about Data Science

Hands-On Neural Networks: Build Machine Learning Models

Build 2 complete projects start to finish -with each step explained thoroughly by instructorNimish Narangfrom Mammoth Interactive. Hands-On Neural Networks: Build Machine Learning Models was funded by a #1 project onKickstarterNimishis ourcross-platform developer andhas created over 20 other courses specializing inmachine learning, Java, Android, SpriteKit, iOSand Core Image for Mammoth Interactive. When he’s notdeveloping, Nimish likes to play guitar, go to the gym and laze around at the beach. Project #1 -Learn to construct a model for credit card fraud detection. Our model will take in a list of transactions, some fraudulent and some legitimate. It will output the percentage at which it can calculate fraudulence and legitimacy, how accurate it is. We will also modify the model so that it output whether a specific transaction is fraudulent or legitimate if we pass them in one by one. We will explore a dataset so that you fully understand it, and we will work on it. It’s actually pretty hard to find a dataset of fraudulent/legitimate credit card transactions, but we at Mammoth Interactivehave found everything for you and curated a step by step curriculum so that you can build alongside us. We will manipulate the dataset so that it will be easy to feed into our model. We will build a computational graph with nodes and functions to run input through the mini neural network. Machine Learning Projects Using Tensorflow -Mammoth InteractiveProject #2-Learn to build a simple stock market prediction model that will predict whether the price stock will go up or down the next morning based on the amount of volume exchange for a given dayAny kind of global event can completely affect how stock prices fluctuate. As such we will build a simple model that only take in the volume exchange for a particular day and will only be used for day trading – choosing whether to buy or sell at the end of the day. It is short term prediction. We will NOT build a huge neural network that takes in thousands of data points and hours to train. We will build a simple model for you to expand upon. You will learn how to go through building a Tensorflow project and how you would get started with a stock prediction task. You will get a solid base that you can expand upon. We will take previous stock data from the Investing site. Included are 8 CSV sheets for you to use to train and test your model for four different stocks. Enroll now inHands-On Neural Networks: Build Machine Learning Models with Mammoth Interactive

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