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Introduction to AI
What is AI
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Components of AI
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Featurization
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Overfitting and Underfitting
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Evaluating AI Systems
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Generative AI
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Python Fundamentals
Module 1: Lecture
Python Basics: Data Types
Assessment
Python Basics: Data Structures
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Python Basics: Loops and Logic
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Python Basics: Functions and OOP
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MRN Generator
Amino Acid Calculator
Build ECG Analyzer
Pubmed Scraper
Evaluating Models and Diagnostic Tests
Confusion Matrices
Assessment
AUROC
Assessment
Likelihood and Odds Ratios
Assessment
Hypothesis Testing and Statistics
Hypothesis Testing
Assessment
Data Distributions and Intro Statistics
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Z and T tests
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ANOVAS
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Bayesian Statistics and Thinking
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Data Wrangling With Pandas
Pandas Tutorial 1
Assessment
Pandas Tutorial 2
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Heart Stroke Project
Heart Stroke: Exploring Data
Assessment
Heart Stroke: Hypothesis Testing 2
Heart Stroke: Hypothesis Testing 1
Assessment
Heart Stroke: Linear Regression
Assessment
Heart Stroke: Logistic Regression 1
Heart Stroke: Logistic Regression 2
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Insurance Analysis and K-Means Clustering
Insurance: Data Exploration
Insurance: K Means Clustering
Assessment
Heart Attack and K-Nearest Neighbors
Heart Attack: Data Exploration
Heart Attack: K-Nearest Neighbors
Assessment
Hospital Readmissions and Tree Algorithms
Hospital Readmissions: Data Exploration
Hospital Readmissions: Decision Trees
Assessment
Hospital Readmissions: Random Forests
Assessment
Hospital Readmissions: XGBoost
Assessment
Support Vector Machines and Cross Validation
CKD: Data Exploration
CKD: Support Vector Machine
Assessment
CKD: Cross Validation
Assessment
Intro to Deep Learning
Neural Networks Overview
Assessment
PyTorch and Tensors
Assessment
Loss Functions
Assessment
Gradients and Backpropagation
Assessment
Optimization and Gradient Descent
Assessment
Activation Functions
Assessment
Supplemental Learning
Natural Language Processing
Introduction to NLP
Use Cases of NLP
Tokenization and Text Processing
Vectorization
Word2Vec
Transformers
LLMs and GPT
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