What will you in Deep Learning with TensorFlow 2.0 Course
Understand how machine learning enhances business intelligence and decision-making.
Build ML models using TensorFlow and Keras for real-world business scenarios.
Work with regression, classification, and clustering for actionable insights.
Analyze business datasets using AI and data visualization tools.
Deploy machine learning solutions to improve business performance and KPIs.
Program Overview
Module 1: Introduction to Machine Learning in Business
⏳ 30 minutes
Overview of ML applications in business intelligence.
Introduction to TensorFlow and its role in data-driven decisions.
Module 2: Preparing Business Data for ML Models
⏳ 45 minutes
Data preprocessing, cleaning, and feature engineering.
Exploratory Data Analysis (EDA) techniques.
Module 3: Regression Analysis for Business Forecasting
⏳ 60 minutes
Linear and logistic regression models using Keras.
Forecasting sales, revenue, and customer trends.
Module 4: Classification Models for Decision-Making
⏳ 60 minutes
Building and evaluating classification models.
Use cases like customer segmentation and churn prediction.
Module 5: Clustering and Unsupervised Learning
⏳ 45 minutes
Applying K-Means and hierarchical clustering to business data.
Identifying hidden patterns and grouping customers or products.
Module 6: Deep Learning for Business Intelligence
⏳ 60 minutes
Neural networks for complex business problems.
Using TensorFlow to build scalable DL models.
Module 7: Visualizing Results and Communicating Insights
⏳ 45 minutes
Visualizing model results using charts and dashboards.
Creating actionable reports for business stakeholders.
Module 8: Final Capstone Project: ML in BI Strategy
⏳ 75 minutes
End-to-end project applying ML to a business intelligence challenge.
Presenting results and ROI from ML applications.
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Job Outlook
High Demand: Business-focused ML is growing rapidly across industries.
Career Advancement: Ideal for analysts, data scientists, and business consultants.
Salary Potential: $90K–$140K for professionals with ML + BI expertise.
Freelance Opportunities: Business automation, BI dashboard consulting, ML analytics.
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Specification: Deep Learning with TensorFlow 2.0 Course
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