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Marketing managment
Training

Understand the scope and prospects of Marketing managment, learn how ML is being used in various industries with our internship programs and develop the necessary skills and Python programming to become a successful ML Engineer.

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Marketing managment

Learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Marketing managment, TensorFlow, and more!

Course Overview

This Marketing managment course is designed to provide a comprehensive introduction to ML concepts, algorithms, and applications. You'll work on real-world projects, learn Python programming, and build models using popular libraries like Scikit-learn, Pandas, and TensorFlow.

  • 1. Introduction to Marketing managment & AI
  • 2. Python for ML – Basics to Advanced
  • 3. Data Preprocessing and Feature Engineering
  • 4. Supervised & Unsupervised Learning Algorithms
  • 5. Real-world Projects and Capstone
  • 6. Resume & Interview Preparation

  • 1. Neural Networks Fundamentals
  • 2. CNNs, RNNs, and LSTMs
  • 3. Deep Learning Frameworks (TensorFlow, PyTorch)
  • 4. Model Optimization and Tuning

  • 1. Text Preprocessing Techniques
  • 2. Sentiment Analysis
  • 3. Word Embeddings & Transformers
  • 4. Chatbots and Language Models

  • 1. Image Processing Fundamentals
  • 2. Object Detection & Recognition
  • 3. Face Detection & Classification
  • 4. Transfer Learning in CV

  • 1. Git, GitHub, and Version Control
  • 2. Streamlit & Flask for Model Deployment
  • 3. Docker & Cloud Integration
  • 4. MLOps Basics

  • 1. Building a Portfolio
  • 2. Mock Interviews & Feedback
  • 3. Final Capstone Project Presentation
  • 4. Connecting with Recruiters

Instructor: Jasika Peat, Data Scientist

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