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Название 2025 AI Py Dev Megaclass 300 Hands-on Proj
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001 Intro Week 1 Python Prog Basics.mp4 2.45Мб
002 Day 1 Intro Python and Dev Setup.mp4 130.01Мб
003 Day 2 Control Flow in Python.mp4 222.60Мб
004 Day 3 Functions and Modules.mp4 139.43Мб
005 Day 4 Data Structure List, Tuple, Dict, Set.mp4 200.54Мб
006 Day 5 Working with Strings.mp4 152.33Мб
007 Day 6 File Handling.mp4 148.56Мб
008 Day 7 Pythonic Code and Project Work.mp4 309.45Мб
009 Video ''009'' does not exist. Cont. to ''010...''.txt 240б
010 Intro Week 2 Data Science Essentials.mp4 3.12Мб
011 Day 1 Intro NumPy for Numerical Computing.mp4 162.05Мб
012 Day 2 Advanced NumPy Operations.mp4 148.45Мб
013 Day 3 Intro Pandas for Data Manipulation.mp4 152.51Мб
014 Day 4 Data Cleaning and Prep - Pandas.mp4 155.80Мб
015 Day 5 Data Aggregation, Grouping in Pandas.mp4 98.97Мб
016 Day 6 Data Visualize, Matplotlib, Seaborn.mp4 221.74Мб
017 Day 7 EDA Project.mp4 168.47Мб
018 Intro Week 3 Mathematics for Machine Learning.mp4 3.24Мб
019 Day 1 Linear Algebra Fundamentals.mp4 143.86Мб
020 Day 2 Advanced Linear Algebra Concepts.mp4 134.61Мб
021 Day 3 Calculus for Machine Learning (Derivatives).mp4 123.25Мб
022 Day 4 Calculus (Integrals and Optimization).mp4 103.49Мб
023 Day 5 Probability Theory, Distributions.mp4 179.12Мб
024 Day 6 Statistics Fundamentals.mp4 137.20Мб
025 Day 7 Math-Driven Mini Proj – Linear Regression.mp4 113.30Мб
026 Intro Week 4 Probability and Statistics.mp4 3.57Мб
027 Day 1 Probability Theory and Random Variables.mp4 122.69Мб
028 Day 2 Probability Distributions in Machine Learning.mp4 116.02Мб
029 Day 3 Stat Inference - Estimation, Confidence Intervals.mp4 112.65Мб
030 Day 4 Hypothesis Testing and P-Values.mp4 70.75Мб
031 Day 5 Types of Hypothesis Tests.mp4 132.74Мб
032 Day 6 Correlation and Regression Analysis.mp4 124.73Мб
033 Day 7 Stat Analysis Proj – Analyzing Real-World Data.mp4 208.40Мб
034 Intro Week 5 Machine Learning.mp4 3.62Мб
035 Day 1 Machine Learning Basics, Terminology.mp4 98.30Мб
036 Day 2 Intro Supervised Learning, Regress Model.mp4 100.61Мб
037 Day 3 Adv Regression – Polynomial Regularization.mp4 304.58Мб
038 Day 4 Intro Classification and Logistic Regression.mp4 186.98Мб
039 Day 5 Model Evaluation and Cross-Validation.mp4 112.92Мб
040 Day 6 k-Nearest Neighbors (k-NN) Algorithm.mp4 139.49Мб
041 Day 7 Supervised Learning Mini Project.mp4 227.68Мб
042 Intro Week 6 Feature Engineering, Model Eval.mp4 2.94Мб
043 Day 1 Introduction to Feature Engineering.mp4 105.89Мб
044 Day 2 Data Scaling and Normalization.mp4 131.66Мб
045 Day 3 Encoding Categorical Variables.mp4 132.10Мб
046 Day 4 Feature Selection Techniques.mp4 128.21Мб
047 Day 5 Creating and Transforming Features.mp4 140.76Мб
048 Day 6 Model Evaluation Techniques.mp4 117.35Мб
049 Day 7 Cross-Validation, Hyperparameter Tun.mp4 162.34Мб
050 Intro Week 7 Adv Algorithms.mp4 2.81Мб
051 Day 1 Introduction to Ensemble Learning.mp4 115.08Мб
052 Day 2 Bagging and Random Forests.mp4 107.05Мб
053 Day 3 Boosting and Gradient Boosting.mp4 127.18Мб
054 Day 4 Introduction to XGBoost.mp4 153.82Мб
055 Day 5 LightGBM and CatBoost.mp4 167.17Мб
056 Day 6 Handling Imbalanced Data.mp4 139.78Мб
057 Day 7 Proj – Compare Models Real Dataset.mp4 207.19Мб
058 Introduction to Week 8 Model Tuning and Optimization.mp4 4.24Мб
059 Day 1 Introduction to Hyperparameter Tuning.mp4 109.35Мб
060 Day 2 Grid Search and Random Search.mp4 136.06Мб
061 Day 3 Advanced Hyperparameter Tuning with Bayesian Optimization.mp4 245.00Мб
062 Day 4 Regularization Techniques for Model Optimization.mp4 116.66Мб
063 Day 5 Cross-Validation and Model Evaluation Techniques.mp4 102.38Мб
064 Day 6 Automated Hyperparameter Tuning with GridSearchCV and RandomizedSearchCV.mp4 171.32Мб
065 Day 7 Optimization Project – Building and Tuning a Final Model.mp4 207.85Мб
066 Introduction to Week 9 Neural Networks and Deep Learning Fundamentals.mp4 3.75Мб
067 Day 1 Introduction to Deep Learning and Neural Networks.mp4 110.72Мб
068 Day 2 Forward Propagation and Activation Functions.mp4 109.84Мб
069 Day 3 Loss Functions and Backpropagation.mp4 118.05Мб
070 Day 4 Gradient Descent and Optimization Techniques.mp4 180.92Мб
071 Day 5 Building Neural Networks with TensorFlow and Keras.mp4 153.87Мб
072 Day 6 Building Neural Networks with PyTorch.mp4 240.38Мб
073 Day 7 Neural Network Project – Image Classification on CIFAR-10.mp4 200.80Мб
074 Introduction to Week 10 Convolutional Neural Networks (CNNs).mp4 4.19Мб
075 Day 1 Introduction to Convolutional Neural Networks.mp4 212.77Мб
076 Day 2 Convolutional Layers and Filters.mp4 189.65Мб
077 Day 3 Pooling Layers and Dimensionality Reduction.mp4 210.59Мб
078 Day 4 Building CNN Architectures with Keras and TensorFlow.mp4 142.40Мб
079 Day 5 Building CNN Architectures with PyTorch.mp4 204.80Мб
080 Day 6 Regularization and Data Augmentation for CNNs.mp4 148.73Мб
081 Day 7 CNN Project – Image Classification on Fashion MNIST or CIFAR-10.mp4 247.95Мб
082 Introduction to Week 11 Recurrent Neural Networks (RNNs) and Sequence Modeling.mp4 4.23Мб
083 Day 1 Introduction to Sequence Modeling and RNNs.mp4 275.12Мб
084 Day 2 Understanding RNN Architecture and Backpropagation Through Time (BPTT).mp4 212.85Мб
085 Day 3 Long Short-Term Memory (LSTM) Networks.mp4 112.56Мб
086 Day 4 Gated Recurrent Units (GRUs).mp4 52.68Мб
087 Day 5 Text Preprocessing and Word Embeddings for RNNs.mp4 207.45Мб
088 Day 6 Sequence-to-Sequence Models and Applications.mp4 401.43Мб
089 Day 7 RNN Project – Text Generation or Sentiment Analysis.mp4 156.01Мб
090 Introduction to Week 12 Transformers and Attention Mechanisms.mp4 3.99Мб
091 Day 1 Introduction to Attention Mechanisms.mp4 110.73Мб
092 Day 2 Introduction to Transformers Architecture.mp4 139.34Мб
093 Day 3 Self-Attention and Multi-Head Attention in Transformers.mp4 189.39Мб
094 Day 4 Positional Encoding and Feed-Forward Networks.mp4 165.83Мб
095 Day 5 Hands-On with Pre-Trained Transformers – BERT and GPT.mp4 168.75Мб
096 Day 6 Advanced Transformers – BERT Variants and GPT-3.mp4 171.31Мб
097 Day 7 Transformer Project – Text Summarization or Translation.mp4 155.43Мб
098 Introduction to Week 13 Transfer Learning and Fine-Tuning.mp4 3.21Мб
099 Day 1 Introduction to Transfer Learning.mp4 118.93Мб
100 Day 2 Transfer Learning in Computer Vision.mp4 234.41Мб
101 Day 3 Fine-Tuning Techniques in Computer Vision.mp4 191.36Мб
102 Day 4 Transfer Learning in NLP.mp4 142.39Мб
103 Day 5 Fine-Tuning Techniques in NLP.mp4 224.17Мб
104 Day 6 Domain Adaptation and Transfer Learning Challenges.mp4 128.48Мб
105 Day 7 Transfer Learning Project – Fine-Tuning for a Custom Task.mp4 154.16Мб
106 Learn Python from Scratch - Quick Tutorial.mp4 180.04Мб
107 Day 1 Welcome Message Generator Print Statements & Hello World.mp4 70.69Мб
108 Day 2 Personalized Greeting Program Variables & Data Types.mp4 76.60Мб
109 Day 3 Simple Calculator User Input & String Formatting.mp4 81.89Мб
110 Day 4 Number Comparison Tool If-Else Statements.mp4 74.71Мб
111 Day 5 Countdown Timer Loops (For & While).mp4 54.97Мб
112 Day 6 Basic Math Quiz Game Functions.mp4 99.51Мб
113 Day 7 Shopping List App Lists.mp4 110.35Мб
114 Day 8 Contact Book Dictionaries.mp4 131.09Мб
115 Day 9 Ingredient Checker Tuples & Sets.mp4 82.24Мб
116 Day 10 Note-Taking App File Handling.mp4 102.49Мб
117 Day 11 Safe Calculator Exception Handling.mp4 94.83Мб
118 Day 12 Temperature Converter Functions with Return Values.mp4 92.21Мб
119 Day 13 Student Grade Manager List Comprehensions.mp4 76.85Мб
120 Day 14 Random Password Generator Modules & Libraries.mp4 92.78Мб
121 Day 15 Recipe Viewer App Reading Files.mp4 101.31Мб
122 Day 16 Daily Journal Logger Writing Files.mp4 97.08Мб
123 Day 17 Student Report Generator CSV Files.mp4 95.21Мб
124 Day 18 Mini To-Do App JSON Files.mp4 116.81Мб
125 Day 19 Weather App using API APIs (Basics).mp4 116.51Мб
126 Day 20 Event Countdown Timer Dates & Time.mp4 97.25Мб
127 Day 21 Wikipedia Article Scraper Web Scraping.mp4 139.90Мб
128 Day 22 Bank Account Simulator Classes & Objects.mp4 132.61Мб
129 Day 23 Library Management System Constructors & Methods.mp4 109.52Мб
130 Day 24 Employee Management System Inheritance.mp4 143.83Мб
131 Day 25 Animal Sound Simulator Polymorphism.mp4 86.34Мб
132 Day 26 Secure User Profile App Encapsulation.mp4 118.36Мб
133 Day 27 Inventory Management System Static & Class Methods.mp4 108.63Мб
134 Day 28 Mini ATM Machine Final OOP Project.mp4 120.25Мб
135 Day 29 Simple GUI App Tkinter Basics.mp4 116.33Мб
136 Day 30 Click Counter App Buttons & Events.mp4 124.81Мб
137 Day 31 BMI Calculator Input Fields.mp4 129.95Мб
138 Day 32 Drawing Pad App Canvas Widgets.mp4 134.24Мб
139 Day 33 Simple Login System Message Boxes.mp4 115.08Мб
140 Day 34 To-Do List GUI Advanced Widgets.mp4 118.52Мб
141 Day 35 Expense Tracker App GUI Capstone.mp4 154.73Мб
142 Day 36 Hello Flask App Flask Basics.mp4 95.61Мб
143 Day 37 Personal Blog Website Routes & Templates.mp4 147.50Мб
144 Day 38 Contact Form App Forms & User Input.mp4 79.71Мб
145 Day 39 User Registration App Database Integration.mp4 127.65Мб
146 Day 40 Mini Weather API REST APIs.mp4 124.91Мб
147 Day 41 Deploy Flask App Deployment.mp4 122.03Мб
148 Day 42 Portfolio Website Flask Capstone.mp4 101.13Мб
149 Day 43 Matrix Calculator NumPy.mp4 113.78Мб
150 Day 44 Data Cleaner Pandas.mp4 93.67Мб
151 Day 45 Graph Plotter Matplotlib.mp4 118.36Мб
152 Day 46 Sales Report Analyzer Data Analysis.mp4 167.70Мб
153 Day 47 Temperature Plotter Plotting Trends.mp4 133.44Мб
154 Day 48 Stock Price Tracker Data Scraping.mp4 121.67Мб
155 Day 49 COVID-19 Dashboard Capstone Project.mp4 145.53Мб
156 Day 50 Weather Dashboard App.mp4 200.61Мб
157 Day 51 Expense Tracker.mp4 139.94Мб
158 Day 52 File Organizer Tool.mp4 114.62Мб
159 Day 53 Tic-Tac-Toe Game.mp4 187.23Мб
160 Day 54 Mini Chatbot.mp4 67.62Мб
161 Day 55 Music Playlist Organizer.mp4 155.75Мб
162 Day 56 Personal Budget Planner.mp4 105.74Мб
163 Day 57 ASCII Art Generator.mp4 104.14Мб
164 Day 58 Pomodoro Timer.mp4 164.61Мб
165 Day 59 Markdown to HTML Converter.mp4 123.45Мб
166 Day 60 Personal Diary App.mp4 147.93Мб
167 Day 61 Social Media Scraper.mp4 94.63Мб
168 Day 62 Automated Backup Tool.mp4 100.02Мб
169 Day 63 Movie Recommendation System.mp4 114.96Мб
170 Day 64 PDF Merger Tool.mp4 72.67Мб
171 Day 65 Portfolio Website Backend.mp4 142.49Мб
172 Day 66 Flashcards Learning App.mp4 69.42Мб
173 Day 67 Stock Market Dashboard.mp4 116.14Мб
174 Day 68 Task Scheduler.mp4 121.94Мб
175 Day 69 Currency Converter.mp4 83.64Мб
176 Day 70 Data Visualizer App.mp4 150.44Мб
177 Day 71 Spam Email Detector.mp4 202.31Мб
178 Day 72 Text Sentiment Analyzer.mp4 84.12Мб
179 Day 73 Handwriting Digit Recognition.mp4 209.33Мб
180 Day 74 Voice Assistant.mp4 129.41Мб
181 Day 75 Face Detection App.mp4 133.02Мб
182 Day 76 Simple Recommendation System.mp4 114.04Мб
183 Day 77 AI Chatbot with NLP.mp4 97.77Мб
184 Day 78 Object Detection App.mp4 83.64Мб
185 Day 79 Language Translator Tool.mp4 72.25Мб
186 Day 80 Fake News Detector.mp4 104.54Мб
187 Intro Algorithms and in Python.mp4 13.80Мб
188 1 Supervised Linear Regression.mp4 38.27Мб
189 2 Sup. Ridge, Lasso Regression.mp4 51.64Мб
190 3 Supervised Polynomial Regression.mp4 47.02Мб
191 4 Supervised Logistic Regression.mp4 36.35Мб
192 5 Supervised KNN.mp4 40.31Мб
193 6 Supervised SVM.mp4 42.25Мб
194 7 Supervised Decision Trees.mp4 41.03Мб
195 8 Supervised Random Forests.mp4 40.62Мб
196 9 Supervised Gradient Boosting.mp4 41.67Мб
197 10 Supervised Naive Bayes.mp4 36.67Мб
198 11 Unsup. K-Means Clustering.mp4 22.78Мб
199 12 Unsup. Hierarchical Clustering.mp4 30.23Мб
200 13 Unsupervised DBSCAN.mp4 26.00Мб
201 14 Unsupervised GMM.mp4 28.05Мб
202 15 Unsupervised PCA.mp4 28.20Мб
2025 AI Python Development Megaclass 300 Hands-on Projects -Udemy 'School of AI'.txt 236б
203 16 Unsup. t-Distributed Stochastic.mp4 32.44Мб
204 17 Unsupervised Autoencoders.mp4 57.77Мб
205 18 Self-Training.mp4 51.93Мб
206 19 Q-Learning.mp4 64.38Мб
207 20 Deep Q-Networks (DQN).mp4 111.00Мб
208 21 Policy Gradient Methods.mp4 93.00Мб
209 22 One-Class SVM.mp4 28.87Мб
210 23 Isolation Forest.mp4 32.42Мб
211 24 CNNs.mp4 64.67Мб
212 25 RNNs.mp4 58.19Мб
213 26 LSTM.mp4 55.14Мб
214 27 Transformers.mp4 92.37Мб
AIBootcamp.pdf 2.38Мб
Code files.zip 30.43Мб
Python100Days.pdf 524.18Кб
Python100Days Code.zip 5.36Мб