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videos
30 Parts
AI & Machine Learning Fundamentals
video
192.75 MB
ML Types, Deep Learning & Getting Started with Python
209.04 MB
Python Basics: Inputs, Lists & If/Else Logic
216.93 MB
Python: Loops, Functions & Mini-Programs
216.93 MB
Applied Python: Functions, String Slicing & Menus
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Working with Collections and Set Theory in Python
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Working with Files: Reading, Writing, and Appending Data in Python
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Python Exception Handling and Introduction to NumPy Arrays
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Introduction to Pandas: Series, DataFrames, and Data Filtering
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Data Visualization with Matplotlib
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Exploratory Data Analysis (EDA): Grouping and Summary Statistics
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Linear Regression & Regression Metrics
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Logistic Regression & Classification Metrics
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Decision Tree Classifiers & Hyperparameter Tuning
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Ensemble Learning & Bagging
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K-Nearest Neighbors (KNN) Classifier
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Data Cleaning: Imputation & Outlier Analysis
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Data Scaling & Feature Extraction
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Feature Engineering & Selection
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Cross-Validation & Model Persistence
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Unsupervised Pattern Discovery and Data Biases
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LLM Fine-Tuning with LoRA and PEFT
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Deep Learning Foundations: Forward & Backward Propagation
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Introduction to Convolutional Neural Networks (CNNs)
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Neural Network Optimization & Tuning
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Introduction to Natural Language Processing (NLP)
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Large Language Models & Transformers
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AI Ethics, Privacy & Fairness
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End-to-End ML Workflow Foundations
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Machine Learning Deployment & Monitoring
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