Detect Fraud and Predict the Stock Market with TensorFlow

BY
Udemy

Learn Python programming and TensorFlow to build a credit card fraud detection model and application for stock market prediction.

Mode

Online

Fees

₹ 449 1999

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

The stock market is renowned for its turbulence, dynamic, and nonlinear nature. Due to a variety of factors, including politics, the state of the global economy, unforeseen occurrences, a company's financial performance, and others, accurately predicting stock prices is very difficult. The Mammoth Interactive - Instructor & John Bura Web, App & Game Developer-designed the Detect Fraud and Predict the Stock Market with TensorFlow certification course, which is offered by Udemy.

Detect Fraud and Predict the Stock Market with TensorFlow online classes are intended for individuals who want to become experts in the artificial intelligence methodologies used to highlight stock market fraud. Individuals will learn about Tensorflow, linear regression, and Python in the Detect Fraud and Predict the Stock Market with TensorFlow online course, as well as about the techniques and resources needed to create stock market prediction applications.

The highlights

  • Certificate of completion
  • Self-paced course
  • 7 hours of pre-recorded video content
  • 9 articles 
  • 4 downloadable resources

Program offerings

  • Online course
  • Learning resources
  • 30-day money-back guarantee
  • Unlimited access
  • Accessible on mobile devices and tv

Course and certificate fees

Fees information
₹ 449  ₹1,999
certificate availability

Yes

certificate providing authority

Udemy

What you will learn

Knowledge of python Web application development skills

After completing the Detect Fraud and Predict the Stock Market with TensorFlow online certification, individuals will gain a basic understanding of the principles of the stock market and will acquire a solid understanding of the strategies used for detecting fraud and predicting the stock market using the features of Tensorflow to build linear regression. In this fraud detection course, individuals will explore the functionalities of Python to make credit card fraud detection models. In this fraud detection certification, individuals will also learn about concepts and techniques involved with developing applications using python that uses data to predict stock market trends.

The syllabus

Introduction

  • What is Python Artificial Intelligence?

Fundamentals of Python

  • Installing Python and PyCharm
  • How to use PyCharm
  • Introduction and Variables
  • Multivalue Variables
  • Control Flow
  • Functions
  • Classes and Wrapup
  • Source Code

Fundamentals of TensorFlow

  • Installing TensorFlow
  • FAQ: Help with TensorFlow Installation
  • Introduction and Setup
  • What is TensorFlow?
  • Constant and Operation Nodes
  • Placeholder Nodes
  • Variable Nodes
  • How to Create a Regression Model
  • Building Linear Regression
  • Source Code

Fraud Detection (Credit Card)

  • Introduction to Fraud Detection
  • New Location to Download Dataset
  • Project Overview
  • Introducing a Dataset
  • Building Training: Testing Datasets
  • Eliminating Dataset Bias
  • Building a Computational Graph
  • Building Functions to Connect Graph
  • Training the Model
  • Testing the Model
  • Source Code

Stock Market Prediction (Project)

  • Introduction to Stock Market Prediction
  • Project Overview
  • Understanding Datasets
  • Importing and Formatting Data
  • Calculating Price Differences
  • Building a Computational Graph
  • Training a Model
  • Testing Model Accuracy
  • Summary and Outro
  • Source Code

Free $200 Webinar

  • Please rate this course
  • Bonus Lecture: Free $200 Webinar

Instructors

Mr John Bura
Instructor
Udemy

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