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Название Udemy AI and Python Development Megaclass 300 plus Hands on Projects
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100 Day 2 Transfer Learning in Computer Vision.mp4 92.28Мб
100 Day 2 Transfer Learning in Computer Vision.srt 36.01Кб
101 Day 3 Fine-Tuning Techniques in Computer Vision.mp4 75.96Мб
101 Day 3 Fine-Tuning Techniques in Computer Vision.srt 29.22Кб
102 Day 4 Transfer Learning in NLP.mp4 58.67Мб
102 Day 4 Transfer Learning in NLP.srt 24.73Кб
103 Day 5 Fine-Tuning Techniques in NLP.mp4 90.37Мб
103 Day 5 Fine-Tuning Techniques in NLP.srt 36.60Кб
104 Day 6 Domain Adaptation and Transfer Learning Challenges.mp4 51.42Мб
104 Day 6 Domain Adaptation and Transfer Learning Challenges.srt 21.62Кб
105 Day 7 Transfer Learning Project – Fine-Tuning for a Custom Task.mp4 63.37Мб
105 Day 7 Transfer Learning Project – Fine-Tuning for a Custom Task.srt 25.75Кб
106 Learn Python from Scratch - Quick Tutorial.mp4 133.48Мб
106 Learn Python from Scratch - Quick Tutorial.srt 61.99Кб
107 Day 1 Welcome Message Generator Print Statements --& Hello World.mp4 40.23Мб
107 Day 1 Welcome Message Generator Print Statements --& Hello World.srt 19.07Кб
108 Day 2 Personalized Greeting Program Variables --& Data Types.mp4 44.64Мб
108 Day 2 Personalized Greeting Program Variables --& Data Types.srt 20.57Кб
109 Day 3 Simple Calculator User Input --& String Formatting.mp4 43.38Мб
109 Day 3 Simple Calculator User Input --& String Formatting.srt 18.90Кб
10 Introduction to Week 2 Data Science Essentials.mp4 2.09Мб
10 Introduction to Week 2 Data Science Essentials.srt 1.08Кб
110 Day 4 Number Comparison Tool If-Else Statements.mp4 41.77Мб
110 Day 4 Number Comparison Tool If-Else Statements.srt 18.70Кб
111 Day 5 Countdown Timer Loops --(For --& While--).mp4 39.43Мб
111 Day 5 Countdown Timer Loops --(For --& While--).srt 18.41Кб
112 Day 6 Basic Math Quiz Game Functions.mp4 53.60Мб
112 Day 6 Basic Math Quiz Game Functions.srt 24.94Кб
113 Day 7 Shopping List App Lists.mp4 61.33Мб
113 Day 7 Shopping List App Lists.srt 28.63Кб
114 Day 8 Contact Book Dictionaries.mp4 70.51Мб
114 Day 8 Contact Book Dictionaries.srt 32.75Кб
115 Day 9 Ingredient Checker Tuples --& Sets.mp4 50.36Мб
115 Day 9 Ingredient Checker Tuples --& Sets.srt 23.90Кб
116 Day 10 Note-Taking App File Handling.mp4 57.79Мб
116 Day 10 Note-Taking App File Handling.srt 27.68Кб
117 Day 11 Safe Calculator Exception Handling.mp4 53.02Мб
117 Day 11 Safe Calculator Exception Handling.srt 25.22Кб
118 Day 12 Temperature Converter Functions with Return Values.mp4 50.62Мб
118 Day 12 Temperature Converter Functions with Return Values.srt 22.14Кб
119 Day 13 Student Grade Manager List Comprehensions.mp4 45.70Мб
119 Day 13 Student Grade Manager List Comprehensions.srt 19.87Кб
11 Day 1 Introduction to NumPy for Numerical Computing.mp4 79.69Мб
11 Day 1 Introduction to NumPy for Numerical Computing.srt 31.28Кб
120 Day 14 Random Password Generator Modules --& Libraries.mp4 53.66Мб
120 Day 14 Random Password Generator Modules --& Libraries.srt 25.12Кб
121 Day 15 Recipe Viewer App Reading Files.mp4 53.28Мб
121 Day 15 Recipe Viewer App Reading Files.srt 22.53Кб
122 Day 16 Daily Journal Logger Writing Files.mp4 52.31Мб
122 Day 16 Daily Journal Logger Writing Files.srt 22.65Кб
123 Day 17 Student Report Generator CSV Files.mp4 52.45Мб
123 Day 17 Student Report Generator CSV Files.srt 23.01Кб
124 Day 18 Mini To-Do App JSON Files.mp4 60.83Мб
124 Day 18 Mini To-Do App JSON Files.srt 25.71Кб
125 Day 19 Weather App using API APIs --(Basics--).mp4 62.68Мб
125 Day 19 Weather App using API APIs --(Basics--).srt 28.18Кб
126 Day 20 Event Countdown Timer Dates --& Time.mp4 50.64Мб
126 Day 20 Event Countdown Timer Dates --& Time.srt 21.78Кб
127 Day 21 Wikipedia Article Scraper Web Scraping.mp4 75.51Мб
127 Day 21 Wikipedia Article Scraper Web Scraping.srt 33.79Кб
128 Day 22 Bank Account Simulator Classes --& Objects.mp4 68.06Мб
128 Day 22 Bank Account Simulator Classes --& Objects.srt 32.61Кб
129 Day 23 Library Management System Constructors --& Methods.mp4 59.04Мб
129 Day 23 Library Management System Constructors --& Methods.srt 26.60Кб
12 Day 2 Advanced NumPy Operations.mp4 74.61Мб
12 Day 2 Advanced NumPy Operations.srt 30.74Кб
130 Day 24 Employee Management System Inheritance.mp4 79.88Мб
130 Day 24 Employee Management System Inheritance.srt 35.37Кб
131 Day 25 Animal Sound Simulator Polymorphism.mp4 49.07Мб
131 Day 25 Animal Sound Simulator Polymorphism.srt 22.18Кб
132 Day 26 Secure User Profile App Encapsulation.mp4 62.31Мб
132 Day 26 Secure User Profile App Encapsulation.srt 28.80Кб
133 Day 27 Inventory Management System Static --& Class Methods.mp4 57.49Мб
133 Day 27 Inventory Management System Static --& Class Methods.srt 27.62Кб
134 Day 28 Mini ATM Machine Final OOP Project.mp4 57.83Мб
134 Day 28 Mini ATM Machine Final OOP Project.srt 26.58Кб
135 Day 29 Simple GUI App Tkinter Basics.mp4 66.33Мб
135 Day 29 Simple GUI App Tkinter Basics.srt 32.73Кб
136 Day 30 Click Counter App Buttons --& Events.mp4 70.90Мб
136 Day 30 Click Counter App Buttons --& Events.srt 35.93Кб
137 Day 31 BMI Calculator Input Fields.mp4 70.86Мб
137 Day 31 BMI Calculator Input Fields.srt 33.86Кб
138 Day 32 Drawing Pad App Canvas Widgets.mp4 73.85Мб
138 Day 32 Drawing Pad App Canvas Widgets.srt 36.71Кб
139 Day 33 Simple Login System Message Boxes.mp4 60.80Мб
139 Day 33 Simple Login System Message Boxes.srt 29.79Кб
13 Day 3 Introduction to Pandas for Data Manipulation.mp4 68.52Мб
13 Day 3 Introduction to Pandas for Data Manipulation.srt 28.65Кб
140 Day 34 To-Do List GUI Advanced Widgets.mp4 64.89Мб
140 Day 34 To-Do List GUI Advanced Widgets.srt 31.75Кб
141 Day 35 Expense Tracker App GUI Capstone.mp4 70.85Мб
141 Day 35 Expense Tracker App GUI Capstone.srt 4.93Кб
142 Day 36 Hello Flask App Flask Basics.mp4 69.58Мб
142 Day 36 Hello Flask App Flask Basics.srt 32.63Кб
143 Day 37 Personal Blog Website Routes --& Templates.mp4 99.87Мб
143 Day 37 Personal Blog Website Routes --& Templates.srt 46.43Кб
144 Day 38 Contact Form App Forms --& User Input.mp4 47.66Мб
144 Day 38 Contact Form App Forms --& User Input.srt 22.58Кб
145 Day 39 User Registration App Database Integration.mp4 65.70Мб
145 Day 39 User Registration App Database Integration.srt 30.54Кб
146 Day 40 Mini Weather API REST APIs.mp4 62.12Мб
146 Day 40 Mini Weather API REST APIs.srt 27.50Кб
147 Day 41 Deploy Flask App Deployment.mp4 65.72Мб
147 Day 41 Deploy Flask App Deployment.srt 29.74Кб
148 Day 42 Portfolio Website Flask Capstone.mp4 55.19Мб
148 Day 42 Portfolio Website Flask Capstone.srt 25.40Кб
149 Day 43 Matrix Calculator NumPy.mp4 64.61Мб
149 Day 43 Matrix Calculator NumPy.srt 29.61Кб
14 Day 4 Data Cleaning and Preparation with Pandas.mp4 83.52Мб
14 Day 4 Data Cleaning and Preparation with Pandas.srt 35.04Кб
150 Day 44 Data Cleaner Pandas.mp4 58.91Мб
150 Day 44 Data Cleaner Pandas.srt 27.44Кб
151 Day 45 Graph Plotter Matplotlib.mp4 62.52Мб
151 Day 45 Graph Plotter Matplotlib.srt 27.45Кб
152 Day 46 Sales Report Analyzer Data Analysis.mp4 83.18Мб
152 Day 46 Sales Report Analyzer Data Analysis.srt 36.45Кб
153 Day 47 Temperature Plotter Plotting Trends.mp4 62.06Мб
153 Day 47 Temperature Plotter Plotting Trends.srt 30.55Кб
154 Day 48 Stock Price Tracker Data Scraping.mp4 60.20Мб
154 Day 48 Stock Price Tracker Data Scraping.srt 27.84Кб
155 Day 49 COVID-19 Dashboard Capstone Project.mp4 66.01Мб
155 Day 49 COVID-19 Dashboard Capstone Project.srt 30.80Кб
156 Day 50 Weather Dashboard App.mp4 99.82Мб
156 Day 50 Weather Dashboard App.srt 45.03Кб
157 Day 51 Expense Tracker.mp4 64.14Мб
157 Day 51 Expense Tracker.srt 28.80Кб
158 Day 52 File Organizer Tool.mp4 59.48Мб
158 Day 52 File Organizer Tool.srt 19.39Кб
159 Day 53 Tic-Tac-Toe Game.mp4 86.96Мб
159 Day 53 Tic-Tac-Toe Game.srt 36.64Кб
15 Day 5 Data Aggregation and Grouping in Pandas.mp4 52.10Мб
15 Day 5 Data Aggregation and Grouping in Pandas.srt 19.94Кб
160 Day 54 Mini Chatbot.mp4 35.51Мб
160 Day 54 Mini Chatbot.srt 18.09Кб
161 Day 55 Music Playlist Organizer.mp4 70.47Мб
161 Day 55 Music Playlist Organizer.srt 32.79Кб
162 Day 56 Personal Budget Planner.mp4 49.56Мб
162 Day 56 Personal Budget Planner.srt 22.29Кб
163 Day 57 ASCII Art Generator.mp4 53.20Мб
163 Day 57 ASCII Art Generator.srt 22.86Кб
164 Day 58 Pomodoro Timer.mp4 75.74Мб
164 Day 58 Pomodoro Timer.srt 33.01Кб
165 Day 59 Markdown to HTML Converter.mp4 59.54Мб
165 Day 59 Markdown to HTML Converter.srt 27.19Кб
166 Day 60 Personal Diary App.mp4 64.18Мб
166 Day 60 Personal Diary App.srt 30.20Кб
167 Day 61 Social Media Scraper.mp4 45.73Мб
167 Day 61 Social Media Scraper.srt 20.80Кб
168 Day 62 Automated Backup Tool.mp4 46.98Мб
168 Day 62 Automated Backup Tool.srt 22.51Кб
169 Day 63 Movie Recommendation System.mp4 55.90Мб
169 Day 63 Movie Recommendation System.srt 25.46Кб
16 Day 6 Data Visualization with Matplotlib and Seaborn.mp4 94.33Мб
16 Day 6 Data Visualization with Matplotlib and Seaborn.srt 35.71Кб
170 Day 64 PDF Merger Tool.mp4 37.95Мб
170 Day 64 PDF Merger Tool.srt 16.81Кб
171 Day 65 Portfolio Website Backend.mp4 73.49Мб
171 Day 65 Portfolio Website Backend.srt 33.83Кб
172 Day 66 Flashcards Learning App.mp4 33.41Мб
172 Day 66 Flashcards Learning App.srt 16.42Кб
173 Day 67 Stock Market Dashboard.mp4 55.09Мб
173 Day 67 Stock Market Dashboard.srt 24.80Кб
174 Day 68 Task Scheduler.mp4 51.47Мб
174 Day 68 Task Scheduler.srt 24.49Кб
175 Day 69 Currency Converter.mp4 39.95Мб
175 Day 69 Currency Converter.srt 18.58Кб
176 Day 70 Data Visualizer App.mp4 62.50Мб
176 Day 70 Data Visualizer App.srt 31.03Кб
177 Day 71 Spam Email Detector.mp4 79.74Мб
177 Day 71 Spam Email Detector.srt 36.19Кб
178 Day 72 Text Sentiment Analyzer.mp4 41.12Мб
178 Day 72 Text Sentiment Analyzer.srt 18.57Кб
179 Day 73 Handwriting Digit Recognition.mp4 87.76Мб
179 Day 73 Handwriting Digit Recognition.srt 38.68Кб
17 Day 7 Exploratory Data Analysis --(EDA--) Project.mp4 79.29Мб
17 Day 7 Exploratory Data Analysis --(EDA--) Project.srt 30.78Кб
180 Day 74 Voice Assistant.mp4 60.81Мб
180 Day 74 Voice Assistant.srt 26.21Кб
181 Day 75 Face Detection App.mp4 65.00Мб
181 Day 75 Face Detection App.srt 28.81Кб
182 Day 76 Simple Recommendation System.mp4 47.41Мб
182 Day 76 Simple Recommendation System.srt 23.63Кб
183 Day 77 AI Chatbot with NLP.mp4 44.25Мб
183 Day 77 AI Chatbot with NLP.srt 20.81Кб
184 Day 78 Object Detection App.mp4 37.14Мб
184 Day 78 Object Detection App.srt 17.12Кб
185 Day 79 Language Translator Tool.mp4 37.21Мб
185 Day 79 Language Translator Tool.srt 18.30Кб
186 Day 80 Fake News Detector.mp4 47.75Мб
186 Day 80 Fake News Detector.srt 22.88Кб
187 Introduction to Machine Learning Algorithms and Implementation in Python.mp4 9.03Мб
188 1 Supervised Learning Algorithms Linear Regression Implementation.mp4 20.92Мб
188 1 Supervised Learning Algorithms Linear Regression Implementation.srt 9.07Кб
189 2 Supervised Learning Algorithms Ridge and Lasso Regression Implementation.mp4 8.02Мб
18 Introduction to Week 3 Mathematics for Machine Learning.mp4 2.11Мб
18 Introduction to Week 3 Mathematics for Machine Learning.srt 1.10Кб
190 3 Supervised Learning Algorithms Polynomial Regression Implementation.mp4 24.18Мб
191 4 Supervised Learning Algorithms Logistic Regression Implementation.mp4 19.15Мб
192 5 Supervised Learning Algorithms K-Nearest Neighbors --(KNN--) Implementation.mp4 19.23Мб
193 6 Supervised Learning Algorithms Support Vector Machines --(SVM--) Implementation.mp4 19.79Мб
194 7 Supervised Learning Algorithms Decision Trees Implementation.mp4 20.39Мб
194 7 Supervised Learning Algorithms Decision Trees Implementation.srt 9.39Кб
195 8 Supervised Learning Algorithms Random Forests Implementation.mp4 19.52Мб
195 8 Supervised Learning Algorithms Random Forests Implementation.srt 8.82Кб
196 9 Supervised Learning Algorithms Gradient Boosting Implementation.mp4 20.31Мб
196 9 Supervised Learning Algorithms Gradient Boosting Implementation.srt 9.13Кб
197 10 Supervised Learning Algorithms Naive Bayes Implementation.mp4 19.17Мб
197 10 Supervised Learning Algorithms Naive Bayes Implementation.srt 8.72Кб
198 11 Unsupervised Learning Algorithms K-Means Clustering Implementation.mp4 13.64Мб
199 12 Unsupervised Learning Algorithms Hierarchical Clustering Implementation.mp4 15.22Мб
19 Day 1 Linear Algebra Fundamentals.mp4 74.88Мб
19 Day 1 Linear Algebra Fundamentals.srt 29.99Кб
1 Introduction to Week 1 Python Programming Basics.mp4 1.80Мб
1 Introduction to Week 1 Python Programming Basics.srt 889б
200 13 Unsupervised Learning Algorithms DBSCAN.mp4 15.42Мб
200 13 Unsupervised Learning Algorithms DBSCAN.srt 7.11Кб
201 14 Unsupervised Learning Algorithms Gaussian Mixture Models--(GMM--).mp4 15.23Мб
202 15 Unsupervised Learning Algorithms Principal Component Analysis --(PCA--).mp4 14.41Мб
203 16 Unsupervised Learning Algo t-Distributed Stochastic Neighbor Embedding.mp4 16.10Мб
204 17Unsupervised Learning Algorithms Autoencoders Implementation.mp4 27.29Мб
204 17Unsupervised Learning Algorithms Autoencoders Implementation.srt 11.96Кб
205 18 Self-Training Implementation.mp4 22.21Мб
205 18 Self-Training Implementation.srt 9.77Кб
206 19 Q-Learning Implementation.mp4 28.31Мб
206 19 Q-Learning Implementation.srt 12.90Кб
207 20 Deep Q-Networks --(DQN--) Implementation.mp4 46.82Мб
207 20 Deep Q-Networks --(DQN--) Implementation.srt 21.22Кб
208 21 Policy Gradient Methods Implementation.mp4 35.24Мб
208 21 Policy Gradient Methods Implementation.srt 15.30Кб
209 22 One-Class SVM Implementation.mp4 15.14Мб
209 22 One-Class SVM Implementation.srt 6.89Кб
20 Day 2 Advanced Linear Algebra Concepts.mp4 68.59Мб
20 Day 2 Advanced Linear Algebra Concepts.srt 25.76Кб
210 23 Isolation Forest Implementation.mp4 16.04Мб
210 23 Isolation Forest Implementation.srt 7.66Кб
211 24 Convolutional Neural Networks --(CNNs--) Implementation.mp4 28.13Мб
211 24 Convolutional Neural Networks --(CNNs--) Implementation.srt 11.97Кб
212 25 Recurrent Neural Networks --(RNNs--) Implementation.mp4 24.97Мб
212 25 Recurrent Neural Networks --(RNNs--) Implementation.srt 11.45Кб
213 26 Long Short-Term Memory --(LSTM--) Implementation.mp4 24.03Мб
213 26 Long Short-Term Memory --(LSTM--) Implementation.srt 11.03Кб
214 27 Transformers Implementation.mp4 37.59Мб
214 27 Transformers Implementation.srt 15.79Кб
21 Day 3 Calculus for Machine Learning --(Derivatives--).mp4 63.26Мб
21 Day 3 Calculus for Machine Learning --(Derivatives--).srt 24.75Кб
22 Day 4 Calculus for Machine Learning --(Integrals and Optimization--).mp4 50.37Мб
23 Day 5 Probability Theory and Distributions.mp4 88.30Мб
23 Day 5 Probability Theory and Distributions.srt 31.80Кб
24 Day 6 Statistics Fundamentals.mp4 66.83Мб
24 Day 6 Statistics Fundamentals.srt 24.85Кб
25 Day 7 Math-Driven Mini Project – Linear Regression from Scratch.mp4 46.36Мб
26 Introduction to Week 4 Probability and Statistics for Machine Learning.mp4 2.41Мб
27 Day 1 Probability Theory and Random Variables.mp4 64.65Мб
27 Day 1 Probability Theory and Random Variables.srt 23.44Кб
28 Day 2 Probability Distributions in Machine Learning.mp4 59.53Мб
28 Day 2 Probability Distributions in Machine Learning.srt 22.22Кб
29 Day 3 Statistical Inference - Estimation and Confidence Intervals.mp4 54.27Мб
29 Day 3 Statistical Inference - Estimation and Confidence Intervals.srt 20.02Кб
2 Day 1 Introduction to Python and Development Setup.mp4 71.55Мб
2 Day 1 Introduction to Python and Development Setup.srt 30.17Кб
30 Day 4 Hypothesis Testing and P-Values.mp4 39.12Мб
30 Day 4 Hypothesis Testing and P-Values.srt 14.69Кб
31 Day 5 Types of Hypothesis Tests.mp4 65.01Мб
31 Day 5 Types of Hypothesis Tests.srt 24.46Кб
32 Day 6 Correlation and Regression Analysis.mp4 60.48Мб
32 Day 6 Correlation and Regression Analysis.srt 23.67Кб
33 Day 7 Statistical Analysis Project – Analyzing Real-World Data.mp4 85.20Мб
33 Day 7 Statistical Analysis Project – Analyzing Real-World Data.srt 33.37Кб
34 Introduction to Week 5 Introduction to Machine Learning.mp4 2.29Мб
34 Introduction to Week 5 Introduction to Machine Learning.srt 1.09Кб
35 Day 1 Machine Learning Basics and Terminology.mp4 51.36Мб
35 Day 1 Machine Learning Basics and Terminology.srt 22.31Кб
36 Day 2 Introduction to Supervised Learning and Regression Models.mp4 52.76Мб
36 Day 2 Introduction to Supervised Learning and Regression Models.srt 21.57Кб
37 Day 3 Advanced Regression Models – Polynomial Regression and Regularization.mp4 122.47Мб
37 Day 3 Advanced Regression Models – Polynomial Regression and Regularization.srt 44.52Кб
38 Day 4 Introduction to Classification and Logistic Regression.mp4 84.50Мб
38 Day 4 Introduction to Classification and Logistic Regression.srt 32.88Кб
39 Day 5 Model Evaluation and Cross-Validation.mp4 55.39Мб
39 Day 5 Model Evaluation and Cross-Validation.srt 21.75Кб
3 Day 2 Control Flow in Python.mp4 113.90Мб
3 Day 2 Control Flow in Python.srt 47.87Кб
40 Day 6 k-Nearest Neighbors --(k-NN--) Algorithm.mp4 60.03Мб
40 Day 6 k-Nearest Neighbors --(k-NN--) Algorithm.srt 22.82Кб
41 Day 7 Supervised Learning Mini Project.mp4 86.70Мб
41 Day 7 Supervised Learning Mini Project.srt 34.67Кб
42 Introduction to Week 6 Feature Engineering and Model Evaluation.mp4 2.03Мб
42 Introduction to Week 6 Feature Engineering and Model Evaluation.srt 962б
43 Day 1 Introduction to Feature Engineering.mp4 49.86Мб
43 Day 1 Introduction to Feature Engineering.srt 21.11Кб
44 Day 2 Data Scaling and Normalization.mp4 56.29Мб
44 Day 2 Data Scaling and Normalization.srt 21.57Кб
45 Day 3 Encoding Categorical Variables.mp4 57.98Мб
45 Day 3 Encoding Categorical Variables.srt 22.90Кб
46 Day 4 Feature Selection Techniques.mp4 56.51Мб
46 Day 4 Feature Selection Techniques.srt 20.92Кб
47 Day 5 Creating and Transforming Features.mp4 62.88Мб
47 Day 5 Creating and Transforming Features.srt 23.27Кб
48 Day 6 Model Evaluation Techniques.mp4 54.69Мб
48 Day 6 Model Evaluation Techniques.srt 20.91Кб
49 Day 7 Cross-Validation and Hyperparameter Tuning.mp4 69.27Мб
49 Day 7 Cross-Validation and Hyperparameter Tuning.srt 27.43Кб
4 Day 3 Functions and Modules.mp4 80.80Мб
4 Day 3 Functions and Modules.srt 33.22Кб
50 Introduction to Week 7 Advanced Machine Learning Algorithms.mp4 1.94Мб
50 Introduction to Week 7 Advanced Machine Learning Algorithms.srt 981б
51 Day 1 Introduction to Ensemble Learning.mp4 52.30Мб
51 Day 1 Introduction to Ensemble Learning.srt 20.56Кб
52 Day 2 Bagging and Random Forests.mp4 49.62Мб
52 Day 2 Bagging and Random Forests.srt 19.71Кб
53 Day 3 Boosting and Gradient Boosting.mp4 55.79Мб
53 Day 3 Boosting and Gradient Boosting.srt 21.78Кб
54 Day 4 Introduction to XGBoost.mp4 67.70Мб
54 Day 4 Introduction to XGBoost.srt 25.63Кб
55 Day 5 LightGBM and CatBoost.mp4 70.15Мб
55 Day 5 LightGBM and CatBoost.srt 26.66Кб
56 Day 6 Handling Imbalanced Data.mp4 57.72Мб
56 Day 6 Handling Imbalanced Data.srt 22.97Кб
57 Day 7 Ensemble Learning Project – Comparing Models on a Real Dataset.mp4 78.11Мб
57 Day 7 Ensemble Learning Project – Comparing Models on a Real Dataset.srt 28.35Кб
58 Introduction to Week 8 Model Tuning and Optimization.mp4 2.61Мб
58 Introduction to Week 8 Model Tuning and Optimization.srt 1.21Кб
59 Day 1 Introduction to Hyperparameter Tuning.mp4 47.57Мб
59 Day 1 Introduction to Hyperparameter Tuning.srt 19.11Кб
5 Day 4 Data Structures --(Lists, Tuples, Dictionaries, Sets--).mp4 106.12Мб
5 Day 4 Data Structures --(Lists, Tuples, Dictionaries, Sets--).srt 44.63Кб
60 Day 2 Grid Search and Random Search.mp4 55.72Мб
60 Day 2 Grid Search and Random Search.srt 21.62Кб
61 Day 3 Advanced Hyperparameter Tuning with Bayesian Optimization.mp4 93.35Мб
61 Day 3 Advanced Hyperparameter Tuning with Bayesian Optimization.srt 35.67Кб
62 Day 4 Regularization Techniques for Model Optimization.mp4 45.88Мб
62 Day 4 Regularization Techniques for Model Optimization.srt 17.69Кб
63 Day 5 Cross-Validation and Model Evaluation Techniques.mp4 44.91Мб
63 Day 5 Cross-Validation and Model Evaluation Techniques.srt 17.59Кб
64 Day 6 Automated Hyperparameter Tuning with GridSearchCV and RandomizedSearchCV.mp4 67.51Мб
64 Day 6 Automated Hyperparameter Tuning with GridSearchCV and RandomizedSearchCV.srt 24.46Кб
65 Day 7 Optimization Project – Building and Tuning a Final Model.mp4 78.79Мб
65 Day 7 Optimization Project – Building and Tuning a Final Model.srt 29.50Кб
66 Introduction to Week 9 Neural Networks and Deep Learning Fundamentals.mp4 2.28Мб
66 Introduction to Week 9 Neural Networks and Deep Learning Fundamentals.srt 1.24Кб
67 Day 1 Introduction to Deep Learning and Neural Networks.mp4 56.03Мб
67 Day 1 Introduction to Deep Learning and Neural Networks.srt 22.60Кб
68 Day 2 Forward Propagation and Activation Functions.mp4 51.05Мб
68 Day 2 Forward Propagation and Activation Functions.srt 19.62Кб
69 Day 3 Loss Functions and Backpropagation.mp4 53.63Мб
69 Day 3 Loss Functions and Backpropagation.srt 19.38Кб
6 Day 5 Working with Strings.mp4 82.39Мб
6 Day 5 Working with Strings.srt 34.06Кб
70 Day 4 Gradient Descent and Optimization Techniques.mp4 75.85Мб
70 Day 4 Gradient Descent and Optimization Techniques.srt 28.35Кб
71 Day 5 Building Neural Networks with TensorFlow and Keras.mp4 67.35Мб
71 Day 5 Building Neural Networks with TensorFlow and Keras.srt 27.04Кб
72 Day 6 Building Neural Networks with PyTorch.mp4 92.49Мб
72 Day 6 Building Neural Networks with PyTorch.srt 35.75Кб
73 Day 7 Neural Network Project – Image Classification on CIFAR-10.mp4 77.16Мб
73 Day 7 Neural Network Project – Image Classification on CIFAR-10.srt 28.86Кб
74 Introduction to Week 10 Convolutional Neural Networks --(CNNs--).mp4 2.41Мб
74 Introduction to Week 10 Convolutional Neural Networks --(CNNs--).srt 1.20Кб
75 Day 1 Introduction to Convolutional Neural Networks.mp4 91.50Мб
75 Day 1 Introduction to Convolutional Neural Networks.srt 36.05Кб
76 Day 2 Convolutional Layers and Filters.mp4 82.70Мб
76 Day 2 Convolutional Layers and Filters.srt 32.54Кб
77 Day 3 Pooling Layers and Dimensionality Reduction.mp4 83.47Мб
77 Day 3 Pooling Layers and Dimensionality Reduction.srt 32.09Кб
78 Day 4 Building CNN Architectures with Keras and TensorFlow.mp4 61.96Мб
78 Day 4 Building CNN Architectures with Keras and TensorFlow.srt 22.35Кб
79 Day 5 Building CNN Architectures with PyTorch.mp4 77.81Мб
79 Day 5 Building CNN Architectures with PyTorch.srt 29.82Кб
7 Day 6 File Handling.mp4 78.44Мб
7 Day 6 File Handling.srt 34.07Кб
80 Day 6 Regularization and Data Augmentation for CNNs.mp4 65.12Мб
80 Day 6 Regularization and Data Augmentation for CNNs.srt 23.63Кб
81 Day 7 CNN Project – Image Classification on Fashion MNIST or CIFAR-10.mp4 95.97Мб
81 Day 7 CNN Project – Image Classification on Fashion MNIST or CIFAR-10.srt 35.59Кб
82 Introduction to Week 11 Recurrent Neural Networks --(RNNs--) and Sequence Modeling.mp4 2.59Мб
83 Day 1 Introduction to Sequence Modeling and RNNs.mp4 116.27Мб
83 Day 1 Introduction to Sequence Modeling and RNNs.srt 45.36Кб
84 Day 2 Understanding RNN Architecture and Backpropagation Through Time --(BPTT--).mp4 75.04Мб
85 Day 3 Long Short-Term Memory --(LSTM--) Networks.mp4 52.51Мб
85 Day 3 Long Short-Term Memory --(LSTM--) Networks.srt 19.89Кб
86 Day 4 Gated Recurrent Units --(GRUs--).mp4 24.55Мб
86 Day 4 Gated Recurrent Units --(GRUs--).srt 9.82Кб
87 Day 5 Text Preprocessing and Word Embeddings for RNNs.mp4 83.38Мб
87 Day 5 Text Preprocessing and Word Embeddings for RNNs.srt 31.75Кб
88 Day 6 Sequence-to-Sequence Models and Applications.mp4 149.74Мб
88 Day 6 Sequence-to-Sequence Models and Applications.srt 58.57Кб
89 Day 7 RNN Project – Text Generation or Sentiment Analysis.mp4 62.69Мб
89 Day 7 RNN Project – Text Generation or Sentiment Analysis.srt 25.27Кб
8 Day 7 Pythonic Code and Project Work.mp4 137.61Мб
8 Day 7 Pythonic Code and Project Work.srt 54.44Кб
90 Introduction to Week 12 Transformers and Attention Mechanisms.mp4 2.39Мб
90 Introduction to Week 12 Transformers and Attention Mechanisms.srt 1.16Кб
91 Day 1 Introduction to Attention Mechanisms.mp4 52.96Мб
91 Day 1 Introduction to Attention Mechanisms.srt 20.22Кб
92 Day 2 Introduction to Transformers Architecture.mp4 63.57Мб
92 Day 2 Introduction to Transformers Architecture.srt 26.49Кб
93 Day 3 Self-Attention and Multi-Head Attention in Transformers.mp4 73.29Мб
93 Day 3 Self-Attention and Multi-Head Attention in Transformers.srt 27.37Кб
94 Day 4 Positional Encoding and Feed-Forward Networks.mp4 70.73Мб
94 Day 4 Positional Encoding and Feed-Forward Networks.srt 27.73Кб
95 Day 5 Hands-On with Pre-Trained Transformers – BERT and GPT.mp4 68.40Мб
95 Day 5 Hands-On with Pre-Trained Transformers – BERT and GPT.srt 28.10Кб
96 Day 6 Advanced Transformers – BERT Variants and GPT-3.mp4 71.75Мб
96 Day 6 Advanced Transformers – BERT Variants and GPT-3.srt 29.60Кб
97 Day 7 Transformer Project – Text Summarization or Translation.mp4 63.95Мб
97 Day 7 Transformer Project – Text Summarization or Translation.srt 26.01Кб
98 Introduction to Week 13 Transfer Learning and Fine-Tuning.mp4 2.18Мб
98 Introduction to Week 13 Transfer Learning and Fine-Tuning.srt 1.01Кб
99 Day 1 Introduction to Transfer Learning.mp4 50.75Мб
99 Day 1 Introduction to Transfer Learning.srt 22.79Кб
AIBootcamp.pdf 2.38Мб
Code_files.zip 30.43Мб
Python100Days_Code.zip 5.36Мб
Python100Days.pdf 524.18Кб
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