MACHINE LEARNING


Machine Learning Training Course Outline

Duration: 3 Months | Price: 400,000 Naira

Course Overview

  • Learn fundamental concepts of machine learning and statistical modeling
  • Gain hands-on experience with popular ML libraries and frameworks
  • Develop practical skills in data analysis, visualization, and model evaluation
  • Explore real-world applications of ML in various industries

Course Modules

  • Introduction to Machine Learning and Statistical Modeling
  • Python Programming for Data Analysis and ML
  • Supervised Learning Algorithms and Techniques
  • Unsupervised Learning and Dimensionality Reduction
  • Ensemble Methods and Model Selection
  • Time Series Analysis and Forecasting
  • Deep Learning Fundamentals and Neural Networks
  • Natural Language Processing and Text Mining
  • Computer Vision and Image Analysis
  • Machine Learning Ethics and Bias Mitigation

Course Schedule

Week Topic Assignments/Projects
Week 1-4:0 Introduction to ML, Python basics, and data preprocessing Implement simple ML algorithms in Python and analyze datasets
Week 5-8:0 Supervised learning techniques and linear regression Build predictive models for real-world problems
Week 9-12:0 Unsupervised learning, dimensionality reduction, and clustering Apply unsupervised learning techniques to customer segmentation
Week 13-14:0 Ensemble methods and model selection techniques Compare performance of different ML models on a case study
Week 15-16:0 Time series analysis and forecasting techniques Build and evaluate time series models for stock market prediction
Week 17-18:0 Deep learning fundamentals and neural network architectures Implement convolutional neur networks for image classification
Week 19-20:0 Natural language processing and text mining techniques Build a sentiment analysis system using ML techniques
Week 21-22:0 Computer vision and image analysis techniques Implement object detection and facial recognition systems
Week 23-24:0 ML ethics, bias mitigation, and responsible AI practices Present final projects and discuss ethical considerations in ML

Prerequisites

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or related field
  • Basic knowledge of programming concepts and Python
  • Strong interest in data analysis and machine learning

Target Audience

  • Data scientists looking to specialize in machine learning
  • Statisticians interested in applying ML techniques
  • Software developers wanting to incorporate ML into their work
  • Business analysts seeking to leverage ML for decision-making

What's Included

  • Comprehensive curriculum covering ML fundamentals and advanced topics
  • Hands-on practice with industry-standard ML libraries and frameworks
  • Access to instructor support and online resources
  • Certificate upon successful completion of the course

How to Apply

Apply now by submitting:

  • Your resume/CV
  • A brief statement of purpose (500 words)
  • Transcripts of academic records

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About us

"Unleash Your Digital Potential"

Sky VFX Studios stands as a dynamic multimedia and ICT training institute, driven by an unwavering passion and commitment to erasing the digital divide. Our core mission is to empower individuals with cutting-edge digital tech programs, spanning a rich tapestry of disciplines, from digital design and visualisations to advanced technological expertise.


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1. Comprehensive: Covers a wide range of topics in cybersecurity, technology, and multimedia.

2. Interactive: Engages learners through various interactive features like simulations, quizzes, and hands-on exercises.

3. Accessible: Provides flexible learning options, such as self-paced courses and mobile accessibility.

4. Cutting-edge: Incorporates the latest technologies and trends in cybersecurity and multimedia.

5. Practical: Focuses on real-world applications and problem-solving skills.

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9. Innovative: Utilizes emerging technologies like AI, VR, or AR to enhance the learning experience.



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