Brochure
EnquireWhat is Python Artificial Intelligence?
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 ...Read more
Online
₹ 449 1999
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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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
Who it is for
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
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
Articles
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