Hands-On Neural Networks​: Build Machine Learning Models​

Credit Fraud Detection & Stock Analysis​​ -- No Experience Required. Learn to Base Predictions With Python & Tensorflow
4.12 (13 reviews)
Udemy
platform
English
language
Data Science
category
Hands-On Neural Networks​: Build Machine Learning Models​
162
students
7 hours
content
Jun 2018
last update
$29.99
regular price

Why take this course?

🚀 Course Headline: Credit Fraud Detection & Stock Analysis with Python and TensorFlow! 🛡️💰


🎉 Course Title: Hands-On Neural Networks: Build Machine Learning Models
🎉 Instructor: Nimish Narang from Mammoth Interactive


About the Instructor: Nimish Narang is not just any instructor; he's a seasoned cross-platform developer and educator at Mammoth Interactive with over 20 courses under his belt. He specializes in machine learning, Java, Android development, SpriteKit for iOS, and Core Image. Outside of the tech world, Nimish is an avid guitar player, gym enthusiast, and beachgoer, always finding balance in his life.


Course Description:

Dive into the exciting world of machine learning with hands-on experience building real-world models! In this comprehensive course, you'll embark on a journey through two substantial projects from start to finish, each step meticulously explained by Nimish Narang. Here's what you can expect:

🚫 No Experience Required: Whether you're new to programming or just new to machine learning and neural networks, this course is designed for beginners. By the end, you'll have a strong foundation in building predictive models.


Project #1: Credit Card Fraud Detection Model 💳🔒

  • Understanding the Data: We'll start by exploring and understanding a dataset of credit card transactions, which includes both fraudulent and legitimate purchases.
  • Data Preparation: Learn how to manipulate and prepare your data for effective modeling.
  • Building the Model: Construct a neural network model that can calculate the likelihood of transactions being fraudulent or legitimate.
  • Model Evaluation: Gain insights into how accurate your model is, and learn to adjust it for improved performance.

Project #2: Stock Market Prediction Model 📊📈

  • Understanding the Concept: Learn about the factors that affect stock prices and how to analyze them using machine learning.
  • Data Acquisition: We'll use real stock market data from the Investing site, which includes eight CSV files for four different stocks.
  • Model Development: Build a simple yet effective TensorFlow model that predicts whether stock prices will increase or decrease the next day based on trading volume.
  • Implementation: Apply what you've learned to build your own short-term prediction model, which is ideal for day traders.

Why This Course?

  • Industry-Relevant Skills: Master Python and TensorFlow, tools used in the industry by machine learning professionals.
  • Practical Application: Learn through two practical projects that solve real-world problems.
  • Expert Guidance: Follow a curriculum curated by Nimish Narang, whose courses have consistently proven to be effective and engaging.
  • Community Support: Join a community of like-minded learners who are as passionate about machine learning as you are.

Enroll Now in Hands-On Neural Networks: Build Machine Learning Models! 🎓✨ Take the first step towards an exciting career in machine learning. Enhance your data science skills and unlock new opportunities with Mammoth Interactive's expertly crafted course. Sign up today and transform your ability to make data-driven predictions and decisions!

Course Gallery

Hands-On Neural Networks​: Build Machine Learning Models​ – Screenshot 1
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Screenshot 4Hands-On Neural Networks​: Build Machine Learning Models​

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udemy ID
05/06/2018
course created date
22/08/2021
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