Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/007. Day 6 - Sequence-to-Sequence Models and Applications.mp4 252.2 MB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/008. Day 7 - Pythonic Code and Project Work.mp4 180.4 MB
Chapter 05 Week 05 - Introduction to Machine Learning/004. Day 3 - Advanced Regression Models Polynomial Regression and Regularization.mp4 177.8 MB
Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/002. Day 1 - Introduction to Sequence Modeling and RNNs.mp4 174.3 MB
Chapter 08 Week 08 - Model Tuning and Optimization/004. Day 3 - Advanced Hyperparameter Tuning with Bayesian Optimization.mp4 157.5 MB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/008. Day 7 - CNN Project Image Classification on Fashion MNIST or CIFAR-10.mp4 149.2 MB
Chapter 05 Week 05 - Introduction to Machine Learning/008. Day 7 - Supervised Learning Mini Project.mp4 143.3 MB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/007. Day 6 - Building Neural Networks with PyTorch.mp4 143.1 MB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/003. Day 2 - Transfer Learning in Computer Vision.mp4 143.0 MB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/006. Day 5 - Fine-Tuning Techniques in NLP.mp4 136.0 MB
Chapter 04 Week 04 - Probability and Statistics for Machine Learning and AI/008. Day 7 - Statistical Analysis Project Analyzing Real-World Data.mp4 130.1 MB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/002. Day 1 - Introduction to Convolutional Neural Networks.mp4 130.1 MB
Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/003. Day 2 - Understanding RNN Architecture and Backpropagation Through Time (BPTT).mp4 129.6 MB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/003. Day 2 - Control Flow in Python.mp4 128.3 MB
Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/006. Day 5 - Text Preprocessing and Word Embeddings for RNNs.mp4 126.6 MB
Chapter 07 Week 07 - Advanced Machine Learning Algorithms/008. Day 7 - Ensemble Learning Project Comparing Models on a Real Dataset.mp4 126.1 MB
Chapter 02 Week 02 - Data Science Essentials for Artificial Intelligence/007. Day 6 - Data Visualization with Matplotlib and Seaborn.mp4 125.3 MB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/004. Day 3 - Pooling Layers and Dimensionality Reduction.mp4 124.0 MB
Chapter 08 Week 08 - Model Tuning and Optimization/008. Day 7 - Optimization Project Building and Tuning a Final Model.mp4 123.7 MB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/008. Day 7 - Neural Network Project Image Classification on CIFAR-10.mp4 122.4 MB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/006. Day 5 - Building CNN Architectures with PyTorch.mp4 120.3 MB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/005. Day 4 - Data Structures (Lists, Tuples, Dictionaries, Sets).mp4 116.4 MB
Chapter 12 Week 12 - Transformers and Attention Mechanisms/004. Day 3 - Self-Attention and Multi-Head Attention in Transformers.mp4 116.1 MB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/004. Day 3 - Fine-Tuning Techniques in Computer Vision.mp4 116.0 MB
Chapter 02 Week 02 - Data Science Essentials for Artificial Intelligence/008. Day 7 - Exploratory Data Analysis (EDA) Project.mp4 110.9 MB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/003. Day 2 - Convolutional Layers and Filters.mp4 110.4 MB
Chapter 05 Week 05 - Introduction to Machine Learning/005. Day 4 - Introduction to Classification and Logistic Regression.mp4 109.5 MB
Chapter 04 Week 04 - Probability and Statistics for Machine Learning and AI/003. Day 2 - Probability Distributions in Machine Learning.mp4 68.1 MB
Chapter 03 Week 03 - Mathematics for Machine Learning and Artificial Intelligence/008. Day 7 - Math-Driven Mini Project Linear Regression from Scratch.mp4 67.8 MB
Chapter 05 Week 05 - Introduction to Machine Learning/006. Day 5 - Model Evaluation and Cross-Validation.mp4 67.7 MB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/002. Day 1 - Introduction to Deep Learning and Neural Networks.mp4 67.6 MB
Chapter 08 Week 08 - Model Tuning and Optimization/005. Day 4 - Regularization Techniques for Model Optimization.mp4 67.5 MB
Chapter 12 Week 12 - Transformers and Attention Mechanisms/002. Day 1 - Introduction to Attention Mechanisms.mp4 67.1 MB
Chapter 07 Week 07 - Advanced Machine Learning Algorithms/003. Day 2 - Bagging and Random Forests.mp4 67.0 MB
Chapter 17 Week 04 - Object-Oriented Programming/005. Day 26 - Secure User Profile App Encapsulation.mp4 66.8 MB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/007. Day 6 - Model Evaluation Techniques.mp4 66.8 MB
Chapter 07 Week 07 - Advanced Machine Learning Algorithms/002. Day 1 - Introduction to Ensemble Learning.mp4 66.7 MB
Chapter 20 Week 07 - Data Science Basics/007. Day 49 - COVID-19 Dashboard Capstone Project.mp4 66.6 MB
Chapter 19 Week 06 - Web Development with Python/006. Day 41 - Deploy Flask App Deployment.mp4 65.5 MB
Chapter 08 Week 08 - Model Tuning and Optimization/002. Day 1 - Introduction to Hyperparameter Tuning.mp4 64.9 MB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/005. Day 65 - Portfolio Website Backend.mp4 64.5 MB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/002. Day 1 - Introduction to Feature Engineering.mp4 64.2 MB
Chapter 04 Week 04 - Probability and Statistics for Machine Learning and AI/004. Day 3 - Statistical Inference Estimation and Confidence Intervals.mp4 64.2 MB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/003. Day 2 - Forward Propagation and Activation Functions.mp4 63.9 MB
Chapter 21 Days 50_60 - Intermediate Projects/011. Day 60 - Personal Diary App.mp4 63.9 MB
Chapter 19 Week 06 - Web Development with Python/005. Day 40 - Mini Weather API REST APIs.mp4 63.5 MB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/010. Day 70 - Data Visualizer App.mp4 63.4 MB
Chapter 18 Week 05 - GUI Programming/004. Day 32 - Drawing Pad App Canvas Widgets.mp4 62.9 MB
Chapter 05 Week 05 - Introduction to Machine Learning/002. Day 1 - Machine Learning Basics and Terminology.mp4 62.1 MB
Chapter 08 Week 08 - Model Tuning and Optimization/006. Day 5 - Cross-Validation and Model Evaluation Techniques.mp4 61.3 MB
Chapter 17 Week 04 - Object-Oriented Programming/006. Day 27 - Inventory Management System Static & Class Methods.mp4 61.3 MB
Chapter 03 Week 03 - Mathematics for Machine Learning and Artificial Intelligence/005. Day 4 - Calculus for Machine Learning (Integrals and Optimization).mp4 60.9 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/001. Introduction to Machine Learning Algorithms and Implementation in Python.mp4 7.0 MB
z.9781806679652/AIBootcamp.pdf 2.4 MB
Chapter 08 Week 08 - Model Tuning and Optimization/001. Introduction to Week 8 Model Tuning and Optimization.mp4 2.2 MB
Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/001. Introduction to Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling.mp4 2.1 MB
Chapter 12 Week 12 - Transformers and Attention Mechanisms/001. Introduction to Week 12 - Transformers and Attention Mechanisms.mp4 2.1 MB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/001. Introduction to Week 9 Neural Networks and Deep Learning Fundamentals.mp4 2.0 MB
Chapter 05 Week 05 - Introduction to Machine Learning/001. Introduction to Week 5 Introduction to Machine Learning.mp4 2.0 MB
Chapter 04 Week 04 - Probability and Statistics for Machine Learning and AI/001. Introduction to Week 4 Probability and Statistics for Machine Learning.mp4 1.9 MB
Chapter 03 Week 03 - Mathematics for Machine Learning and Artificial Intelligence/001. Introduction to Week 3 Mathematics for Machine Learning.mp4 1.7 MB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/001. Introduction to Week 13 - Transfer Learning and Fine-Tuning.mp4 1.7 MB
Chapter 02 Week 02 - Data Science Essentials for Artificial Intelligence/001. Introduction to Week 2 Data Science Essentials.mp4 1.7 MB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/001. Introduction to Week 6 Feature Engineering and Model Evaluation.mp4 1.6 MB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/003. Day 2 - Control Flow in Python.en.srt 47.7 KB
Chapter 19 Week 06 - Web Development with Python/002. Day 37 - Personal Blog Website Routes & Templates.en.srt 46.3 KB
Chapter 21 Days 50_60 - Intermediate Projects/001. Day 50 - Weather Dashboard App.en.srt 44.7 KB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/005. Day 4 - Data Structures (Lists, Tuples, Dictionaries, Sets).en.srt 44.3 KB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/008. Day 7 - CNN Project Image Classification on Fashion MNIST or CIFAR-10.en.srt 39.6 KB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/007. Day 6 - Building Neural Networks with PyTorch.en.srt 39.3 KB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/003. Day 2 - Transfer Learning in Computer Vision.en.srt 39.1 KB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/003. Day 73 - Handwriting Digit Recognition.en.srt 38.9 KB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/002. Day 1 - Introduction to Convolutional Neural Networks.en.srt 38.8 KB
Chapter 02 Week 02 - Data Science Essentials for Artificial Intelligence/007. Day 6 - Data Visualization with Matplotlib and Seaborn.en.srt 38.5 KB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/006. Day 5 - Fine-Tuning Techniques in NLP.en.srt 38.2 KB
Chapter 21 Days 50_60 - Intermediate Projects/004. Day 53 - Tic-Tac-Toe Game.en.srt 38.1 KB
Chapter 08 Week 08 - Model Tuning and Optimization/004. Day 3 - Advanced Hyperparameter Tuning with Bayesian Optimization.en.srt 37.2 KB
Chapter 20 Week 07 - Data Science Basics/004. Day 46 - Sales Report Analyzer Data Analysis.en.srt 36.9 KB
Chapter 05 Week 05 - Introduction to Machine Learning/008. Day 7 - Supervised Learning Mini Project.en.srt 36.9 KB
Chapter 17 Week 04 - Object-Oriented Programming/003. Day 24 - Employee Management System Inheritance.en.srt 36.8 KB
Chapter 02 Week 02 - Data Science Essentials for Artificial Intelligence/005. Day 4 - Data Cleaning and Preparation with Pandas.en.srt 36.3 KB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/006. Day 5 - Working with Strings.en.srt 35.8 KB
Chapter 04 Week 04 - Probability and Statistics for Machine Learning and AI/008. Day 7 - Statistical Analysis Project Analyzing Real-World Data.en.srt 35.5 KB
Chapter 18 Week 05 - GUI Programming/004. Day 32 - Drawing Pad App Canvas Widgets.en.srt 35.3 KB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/001. Day 71 - Spam Email Detector.en.srt 35.2 KB
Chapter 03 Week 03 - Mathematics for Machine Learning and Artificial Intelligence/006. Day 5 - Probability Theory and Distributions.en.srt 35.0 KB
Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/003. Day 2 - Understanding RNN Architecture and Backpropagation Through Time (BPTT).en.srt 35.0 KB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/004. Day 3 - Pooling Layers and Dimensionality Reduction.en.srt 34.9 KB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/004. Day 3 - Functions and Modules.en.srt 34.6 KB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/003. Day 2 - Convolutional Layers and Filters.en.srt 34.6 KB
Chapter 16 Week 03 - Working with Data/007. Day 21 - Wikipedia Article Scraper Web Scraping.en.srt 34.5 KB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/007. Day 6 - File Handling.en.srt 34.5 KB
Chapter 05 Week 05 - Introduction to Machine Learning/005. Day 4 - Introduction to Classification and Logistic Regression.en.srt 34.2 KB
Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/006. Day 5 - Text Preprocessing and Word Embeddings for RNNs.en.srt 33.8 KB
Chapter 03 Week 03 - Mathematics for Machine Learning and Artificial Intelligence/003. Day 2 - Advanced Linear Algebra Concepts.en.srt 28.1 KB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/010. Day 70 - Data Visualizer App.en.srt 28.0 KB
Chapter 20 Week 07 - Data Science Basics/005. Day 47 - Temperature Plotter Plotting Trends.en.srt 27.8 KB
Chapter 20 Week 07 - Data Science Basics/006. Day 48 - Stock Price Tracker Data Scraping.en.srt 27.8 KB
Chapter 21 Days 50_60 - Intermediate Projects/003. Day 52 - File Organizer Tool.en.srt 27.7 KB
Chapter 21 Days 50_60 - Intermediate Projects/002. Day 51 - Expense Tracker.en.srt 27.6 KB
Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/008. Day 7 - RNN Project Text Generation or Sentiment Analysis.en.srt 27.6 KB
Chapter 19 Week 06 - Web Development with Python/005. Day 40 - Mini Weather API REST APIs.en.srt 27.6 KB
Chapter 16 Week 03 - Working with Data/004. Day 18 - Mini To-Do App JSON Files.en.srt 27.6 KB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/008. Day 7 - Transfer Learning Project Fine-Tuning for a Custom Task.en.srt 27.5 KB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/004. Day 74 - Voice Assistant.en.srt 27.4 KB
Chapter 20 Week 07 - Data Science Basics/003. Day 45 - Graph Plotter Matplotlib.en.srt 27.3 KB
Chapter 17 Week 04 - Object-Oriented Programming/006. Day 27 - Inventory Management System Static & Class Methods.en.srt 27.3 KB
Chapter 12 Week 12 - Transformers and Attention Mechanisms/003. Day 2 - Introduction to Transformers Architecture.en.srt 27.2 KB
Chapter 07 Week 07 - Advanced Machine Learning Algorithms/005. Day 4 - Introduction to XGBoost.en.srt 27.1 KB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/007. Day 6 - Regularization and Data Augmentation for CNNs.en.srt 27.1 KB
Chapter 12 Week 12 - Transformers and Attention Mechanisms/008. Day 7 - Transformer Project Text Summarization or Translation.en.srt 26.9 KB
Chapter 20 Week 07 - Data Science Basics/002. Day 44 - Data Cleaner Pandas.en.srt 26.9 KB
Chapter 17 Week 04 - Object-Oriented Programming/007. Day 28 - Mini ATM Machine Final OOP Project.en.srt 26.8 KB
Chapter 17 Week 04 - Object-Oriented Programming/002. Day 23 - Library Management System Constructors & Methods.en.srt 26.8 KB
Chapter 08 Week 08 - Model Tuning and Optimization/007. Day 6 - Automated Hyperparameter Tuning with GridSearchCV and RandomizedSearchCV.en.srt 26.7 KB
Chapter 21 Days 50_60 - Intermediate Projects/010. Day 59 - Markdown to HTML Converter.en.srt 26.4 KB
Chapter 14 Week 01 - Python Basics/007. Day 6 - Basic Math Quiz Game Functions.en.srt 24.6 KB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/005. Day 4 - Transfer Learning in NLP.en.srt 24.6 KB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/004. Day 3 - Encoding Categorical Variables.en.srt 24.6 KB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/007. Day 67 - Stock Market Dashboard.en.srt 24.5 KB
Chapter 16 Week 03 - Working with Data/002. Day 16 - Daily Journal Logger Writing Files.en.srt 24.1 KB
Chapter 21 Days 50_60 - Intermediate Projects/008. Day 57 - ASCII Art Generator.en.srt 24.0 KB
Chapter 16 Week 03 - Working with Data/003. Day 17 - Student Report Generator CSV Files.en.srt 23.8 KB
Chapter 03 Week 03 - Mathematics for Machine Learning and Artificial Intelligence/005. Day 4 - Calculus for Machine Learning (Integrals and Optimization).en.srt 23.8 KB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/008. Day 68 - Task Scheduler.en.srt 23.8 KB
Chapter 16 Week 03 - Working with Data/001. Day 15 - Recipe Viewer App Reading Files.en.srt 23.8 KB
Chapter 08 Week 08 - Model Tuning and Optimization/003. Day 2 - Grid Search and Random Search.en.srt 23.5 KB
Chapter 16 Week 03 - Working with Data/006. Day 20 - Event Countdown Timer Dates & Time.en.srt 23.4 KB
Chapter 05 Week 05 - Introduction to Machine Learning/003. Day 2 - Introduction to Supervised Learning and Regression Models.en.srt 23.4 KB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/007. Day 6 - Model Evaluation Techniques.en.srt 23.3 KB
Chapter 05 Week 05 - Introduction to Machine Learning/006. Day 5 - Model Evaluation and Cross-Validation.en.srt 23.1 KB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/003. Day 2 - Data Scaling and Normalization.en.srt 23.0 KB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/002. Day 1 - Introduction to Transfer Learning.en.srt 23.0 KB
Chapter 15 Week 02 - Intermediate Python/005. Day 12 - Temperature Converter Functions with Return Values.en.srt 22.9 KB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/005. Day 4 - Feature Selection Techniques.en.srt 22.7 KB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/006. Day 76 - Simple Recommendation System.en.srt 22.7 KB
Chapter 07 Week 07 - Advanced Machine Learning Algorithms/004. Day 3 - Boosting and Gradient Boosting.en.srt 22.6 KB
Chapter 05 Week 05 - Introduction to Machine Learning/002. Day 1 - Machine Learning Basics and Terminology.en.srt 22.4 KB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/007. Day 6 - Domain Adaptation and Transfer Learning Challenges.en.srt 22.3 KB
Chapter 19 Week 06 - Web Development with Python/003. Day 38 - Contact Form App Forms & User Input.en.srt 22.2 KB
Chapter 21 Days 50_60 - Intermediate Projects/007. Day 56 - Personal Budget Planner.en.srt 22.2 KB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/002. Day 62 - Automated Backup Tool.en.srt 22.2 KB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/010. Day 80 - Fake News Detector.en.srt 22.1 KB
Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/004. Day 3 - Long Short-Term Memory (LSTM) Networks.en.srt 21.9 KB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/004. Day 3 - Loss Functions and Backpropagation.en.srt 21.9 KB
Chapter 02 Week 02 - Data Science Essentials for Artificial Intelligence/006. Day 5 - Data Aggregation and Grouping in Pandas.en.srt 21.8 KB
Chapter 07 Week 07 - Advanced Machine Learning Algorithms/002. Day 1 - Introduction to Ensemble Learning.en.srt 21.7 KB
Chapter 03 Week 03 - Mathematics for Machine Learning and Artificial Intelligence/008. Day 7 - Math-Driven Mini Project Linear Regression from Scratch.en.srt 21.5 KB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/002. Day 1 - Introduction to Feature Engineering.en.srt 21.4 KB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/003. Day 2 - Forward Propagation and Activation Functions.en.srt 21.4 KB
Chapter 04 Week 04 - Probability and Statistics for Machine Learning and AI/004. Day 3 - Statistical Inference Estimation and Confidence Intervals.en.srt 21.4 KB
Chapter 24 Machine Learning Algorithms and Implementation in Python/001. Introduction to Machine Learning Algorithms and Implementation in Python.en.srt 5.9 KB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/001. Introduction to Week 9 Neural Networks and Deep Learning Fundamentals.en.srt 1.1 KB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/001. Introduction to Week 13 - Transfer Learning and Fine-Tuning.en.srt 1.1 KB
Chapter 04 Week 04 - Probability and Statistics for Machine Learning and AI/001. Introduction to Week 4 Probability and Statistics for Machine Learning.en.srt 1.1 KB
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