ML & AI Bootcamp: Build Wealth or Stay Broke
Escape the Matrix or Die Trying. Machine Learning and AI are your weapons to crush the 9-to-5, snag $100K+ jobs, and build systems that print money. Don’t wait—master these skills now or get left behi...
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About This Course
What You’ll Own:
- ML Mastery: Smash supervised and unsupervised learning to predict profits.
- AI Power: Build chatbots, image recognition, and automation that clients crave.
- Killer Tools: Wield NumPy, Pandas, Scikit-learn like a pro.
- Analytics Edge: Code regression, classification, and clustering models for real wins.
- Advanced Domination: Crush it with Random Forest, PCA, and Generative AI.
- Money-Making Projects: Build fraud detectors, recommendation systems, and UMKM analytics.
What You’ll Gain:
- Clients: Solve business problems with AI, raking in freelance cash.
- High-Paying Jobs: Land $80K–$150K data science or AI roles.
- Business Growth: Skyrocket your Startups with analytics that sell.
Who Needs This?
- Beginners with Guts: No skills? No excuses. Start now, win big.
- Developers and Analysts: Level up to score elite gigs or promotions.
- Entrepreneurs and Startups: Build AI to crush competitors and scale fast.
No experience needed. Just hunger to dominate.
Why You Can’t Wait:
- No BS: Hard-hitting lessons, no fluff, built for results.
- Profit-Driven: Code AI projects—chatbots, predictors—that get you paid.
- Elite Tools: ML and AI, the backbone of billion-dollar industries.
- Forever Access: Learn fast, earn forever with lifetime updates.
Miss This, Stay Trapped: Without ML and AI, you’re slaving while others cash in. Master these skills to land clients, score dream jobs, or build your empire. Enroll now—or regret it when you’re still broke.
Buy Now. Win Big. Break Free.
Course Curriculum
Introduction to Machine Learning
Learn the basics of machine learning, its types, key concepts, and pipeline to understand how ML solves real-world problems.
Machine Learning Overview
What is Machine Learning?
Types of Machine Learning
Machine Learning Pipeline
Key Concepts: Features, Labels, Training, and Testing
Tools and Libraries for Machine Learning in Python
New Lecture
Data Preprocessing
Clean and preprocess data, scale features, encode categories, split datasets, and prepare data for machine learning models.
Exploratory Data Analysis
Data Cleaning. Handling missing data
Data Cleaning. Removing duplicates and fixing inconsistencies
Feature Scaling
Data Transformation and Encoding
Splitting Data: Train/Test Split
Practical Implementation
Supervised Learning - Regression
Build, train, and evaluate regression models like Linear, Polynomial, and Ridge Regression to predict numerical outcomes.
Introduction to Linear Regression
Implementing Linear Regression in Python
Polynomial Regression
Ridge, Lasso, and Elastic Net Regression
Project - Predicting Housing Prices
Supervised Learning - Classification
Create and compare classification models like Logistic Regression, Decision Trees, and SVM to solve real-world classification problems.
Understanding Logistic Regression
Implementing Logistic Regression in Python
Decision Trees
k-Nearest Neighbors (k-NN)
Support Vector Machines (SVM)
Project - Comparing Classification Models
Ensemble Learning
Master ensemble techniques like Random Forest and XGBoost to improve model accuracy and solve complex problems.
Introduction to Ensemble Learning
Random Forest
Gradient Boosting Algorithms
Project - Credit card fraud detection using ensemble methods.
Unsupervised Learning - Clustering
Group data into meaningful clusters using K-Means, Hierarchical Clustering, and DBSCAN for customer segmentation and more.
K-Means Clustering
Hierarchical Clustering
Density-Based Clustering
Project - Customer Segmentation Using Clustering Algorithms
Unsupervised Learning - Dimensionality Reduction
Reduce dataset dimensions using PCA and t-SNE, and visualize high-dimensional data for better insights.
Principal Component Analysis (PCA)
t-SNE (t-Distributed Stochastic Neighbor Embedding)
Autoencoders
Project - Visualizing Wine Data Using PCA and t-SNE
Association Rule Learning
Discover patterns in data using Apriori and FP-Growth algorithms to perform market basket analysis for retail applications.
Introduction to Association Rules - Market Basket Analysis
Apriori Algorithm
FP-Growth Algorithm
Project - Market Basket Analysis for E-commerce Data
Introduction to Artificial Intelligence
Students will understand AI fundamentals, its key applications, and differences from Machine Learning and Deep Learning.
Artificial Intelligence Overview
What is Artificial Intelligence?
AI vs. ML vs. DL
Core Components of AI
Foundations of Python for AI
Students will learn essential Python libraries and data management techniques for AI development.
Essential Python Libraries for AI
Data Management Techniques
Natural Language Processing (NLP)
Students will explore NLP techniques like text preprocessing, word embeddings, and sentiment analysis.
NLP Fundamentals
Working with Word Embeddings
NLP Applications
Project - Build a basic text classification model
Computer Vision
Students will learn image processing, feature extraction, and object recognition using OpenCV.
Basics of Image Processing
Object Recognition and Feature Extraction
Applications in Vision
Project - Create a pipeline for image classification
Search and Optimization in AI
Students will understand AI search algorithms and optimization techniques for solving real-world problems.
Fundamentals of Search
Optimization Techniques
Applications of Search in AI
Project - Implement A* search
Reinforcement Learning
Students will learn how AI agents interact with environments using rewards and penalties through Q-learning.
Introduction to Reinforcement Learning
Q-Learning Basics
Generative AI
Students will explore Generative AI concepts and build models for AI-generated text and images.
Introduction to Generative AI
Working with Autoencoders
Applications of Generative AI
Project - Generate realistic text using an AI-based language model
Your Instructor
Escape Matrix Academy
Founder and mastermind behind Escape Matrix Academy. From crafting AI-powered tools to launching sta...
Course Details
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