2025 AI Python Development Megaclass 300 Hands-on Projects -Udemy 'School of AI'
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2025 AI Python Development Megaclass 300 Hands-on Projects -Udemy 'School of AI'
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2025 AI Python Development Megaclass 300 Hands-on Projects -Udemy 'School of AI'
2025 AI Python Development Megaclass 300 Hands-on Projects -Udemy 'School of AI'.txt -
001 Intro Week 1 Python Prog Basics.mp4 -
002 Day 1 Intro Python and Dev Setup.mp4 -
003 Day 2 Control Flow in Python.mp4 -
004 Day 3 Functions and Modules.mp4 -
005 Day 4 Data Structure List, Tuple, Dict, Set.mp4 -
006 Day 5 Working with Strings.mp4 -
007 Day 6 File Handling.mp4 -
008 Day 7 Pythonic Code and Project Work.mp4 -
009 Video ''009'' does not exist. Cont. to ''010...''.txt -
AIBootcamp.pdf -
Code files.zip -
Python100Days Code.zip -
Python100Days.pdf -
074 Introduction to Week 10 Convolutional Neural Networks (CNNs).mp4 -
075 Day 1 Introduction to Convolutional Neural Networks.mp4 -
076 Day 2 Convolutional Layers and Filters.mp4 -
077 Day 3 Pooling Layers and Dimensionality Reduction.mp4 -
078 Day 4 Building CNN Architectures with Keras and TensorFlow.mp4 -
079 Day 5 Building CNN Architectures with PyTorch.mp4 -
080 Day 6 Regularization and Data Augmentation for CNNs.mp4 -
081 Day 7 CNN Project – Image Classification on Fashion MNIST or CIFAR-10.mp4 -
082 Introduction to Week 11 Recurrent Neural Networks (RNNs) and Sequence Modeling.mp4 -
083 Day 1 Introduction to Sequence Modeling and RNNs.mp4 -
084 Day 2 Understanding RNN Architecture and Backpropagation Through Time (BPTT).mp4 -
085 Day 3 Long Short-Term Memory (LSTM) Networks.mp4 -
086 Day 4 Gated Recurrent Units (GRUs).mp4 -
087 Day 5 Text Preprocessing and Word Embeddings for RNNs.mp4 -
088 Day 6 Sequence-to-Sequence Models and Applications.mp4 -
089 Day 7 RNN Project – Text Generation or Sentiment Analysis.mp4 -
090 Introduction to Week 12 Transformers and Attention Mechanisms.mp4 -
091 Day 1 Introduction to Attention Mechanisms.mp4 -
092 Day 2 Introduction to Transformers Architecture.mp4 -
093 Day 3 Self-Attention and Multi-Head Attention in Transformers.mp4 -
094 Day 4 Positional Encoding and Feed-Forward Networks.mp4 -
095 Day 5 Hands-On with Pre-Trained Transformers – BERT and GPT.mp4 -
096 Day 6 Advanced Transformers – BERT Variants and GPT-3.mp4 -
097 Day 7 Transformer Project – Text Summarization or Translation.mp4 -
098 Introduction to Week 13 Transfer Learning and Fine-Tuning.mp4 -
099 Day 1 Introduction to Transfer Learning.mp4 -
100 Day 2 Transfer Learning in Computer Vision.mp4 -
101 Day 3 Fine-Tuning Techniques in Computer Vision.mp4 -
102 Day 4 Transfer Learning in NLP.mp4 -
103 Day 5 Fine-Tuning Techniques in NLP.mp4 -
104 Day 6 Domain Adaptation and Transfer Learning Challenges.mp4 -
105 Day 7 Transfer Learning Project – Fine-Tuning for a Custom Task.mp4 -
106 Learn Python from Scratch - Quick Tutorial.mp4 -
107 Day 1 Welcome Message Generator Print Statements & Hello World.mp4 -
108 Day 2 Personalized Greeting Program Variables & Data Types.mp4 -
109 Day 3 Simple Calculator User Input & String Formatting.mp4 -
110 Day 4 Number Comparison Tool If-Else Statements.mp4 -
111 Day 5 Countdown Timer Loops (For & While).mp4 -
112 Day 6 Basic Math Quiz Game Functions.mp4 -
113 Day 7 Shopping List App Lists.mp4 -
114 Day 8 Contact Book Dictionaries.mp4 -
115 Day 9 Ingredient Checker Tuples & Sets.mp4 -
116 Day 10 Note-Taking App File Handling.mp4 -
117 Day 11 Safe Calculator Exception Handling.mp4 -
118 Day 12 Temperature Converter Functions with Return Values.mp4 -
119 Day 13 Student Grade Manager List Comprehensions.mp4 -
120 Day 14 Random Password Generator Modules & Libraries.mp4 -
121 Day 15 Recipe Viewer App Reading Files.mp4 -
122 Day 16 Daily Journal Logger Writing Files.mp4 -
123 Day 17 Student Report Generator CSV Files.mp4 -
124 Day 18 Mini To-Do App JSON Files.mp4 -
125 Day 19 Weather App using API APIs (Basics).mp4 -
126 Day 20 Event Countdown Timer Dates & Time.mp4 -
127 Day 21 Wikipedia Article Scraper Web Scraping.mp4 -
128 Day 22 Bank Account Simulator Classes & Objects.mp4 -
129 Day 23 Library Management System Constructors & Methods.mp4 -
130 Day 24 Employee Management System Inheritance.mp4 -
131 Day 25 Animal Sound Simulator Polymorphism.mp4 -
132 Day 26 Secure User Profile App Encapsulation.mp4 -
133 Day 27 Inventory Management System Static & Class Methods.mp4 -
134 Day 28 Mini ATM Machine Final OOP Project.mp4 -
135 Day 29 Simple GUI App Tkinter Basics.mp4 -
136 Day 30 Click Counter App Buttons & Events.mp4 -
137 Day 31 BMI Calculator Input Fields.mp4 -
138 Day 32 Drawing Pad App Canvas Widgets.mp4 -
139 Day 33 Simple Login System Message Boxes.mp4 -
140 Day 34 To-Do List GUI Advanced Widgets.mp4 -
141 Day 35 Expense Tracker App GUI Capstone.mp4 -
142 Day 36 Hello Flask App Flask Basics.mp4 -
143 Day 37 Personal Blog Website Routes & Templates.mp4 -
144 Day 38 Contact Form App Forms & User Input.mp4 -
145 Day 39 User Registration App Database Integration.mp4 -
146 Day 40 Mini Weather API REST APIs.mp4 -
147 Day 41 Deploy Flask App Deployment.mp4 -
148 Day 42 Portfolio Website Flask Capstone.mp4 -
010 Intro Week 2 Data Science Essentials.mp4 -
011 Day 1 Intro NumPy for Numerical Computing.mp4 -
012 Day 2 Advanced NumPy Operations.mp4 -
013 Day 3 Intro Pandas for Data Manipulation.mp4 -
014 Day 4 Data Cleaning and Prep - Pandas.mp4 -
015 Day 5 Data Aggregation, Grouping in Pandas.mp4 -
016 Day 6 Data Visualize, Matplotlib, Seaborn.mp4 -
017 Day 7 EDA Project.mp4 -
149 Day 43 Matrix Calculator NumPy.mp4 -
150 Day 44 Data Cleaner Pandas.mp4 -
151 Day 45 Graph Plotter Matplotlib.mp4 -
152 Day 46 Sales Report Analyzer Data Analysis.mp4 -
153 Day 47 Temperature Plotter Plotting Trends.mp4 -
154 Day 48 Stock Price Tracker Data Scraping.mp4 -
155 Day 49 COVID-19 Dashboard Capstone Project.mp4 -
156 Day 50 Weather Dashboard App.mp4 -
157 Day 51 Expense Tracker.mp4 -
158 Day 52 File Organizer Tool.mp4 -
159 Day 53 Tic-Tac-Toe Game.mp4 -
160 Day 54 Mini Chatbot.mp4 -
161 Day 55 Music Playlist Organizer.mp4 -
162 Day 56 Personal Budget Planner.mp4 -
163 Day 57 ASCII Art Generator.mp4 -
164 Day 58 Pomodoro Timer.mp4 -
165 Day 59 Markdown to HTML Converter.mp4 -
166 Day 60 Personal Diary App.mp4 -
167 Day 61 Social Media Scraper.mp4 -
168 Day 62 Automated Backup Tool.mp4 -
169 Day 63 Movie Recommendation System.mp4 -
170 Day 64 PDF Merger Tool.mp4 -
171 Day 65 Portfolio Website Backend.mp4 -
172 Day 66 Flashcards Learning App.mp4 -
173 Day 67 Stock Market Dashboard.mp4 -
174 Day 68 Task Scheduler.mp4 -
175 Day 69 Currency Converter.mp4 -
176 Day 70 Data Visualizer App.mp4 -
177 Day 71 Spam Email Detector.mp4 -
178 Day 72 Text Sentiment Analyzer.mp4 -
179 Day 73 Handwriting Digit Recognition.mp4 -
180 Day 74 Voice Assistant.mp4 -
181 Day 75 Face Detection App.mp4 -
182 Day 76 Simple Recommendation System.mp4 -
183 Day 77 AI Chatbot with NLP.mp4 -
184 Day 78 Object Detection App.mp4 -
185 Day 79 Language Translator Tool.mp4 -
186 Day 80 Fake News Detector.mp4 -
187 Intro Algorithms and in Python.mp4 -
188 1 Supervised Linear Regression.mp4 -
189 2 Sup. Ridge, Lasso Regression.mp4 -
190 3 Supervised Polynomial Regression.mp4 -
191 4 Supervised Logistic Regression.mp4 -
192 5 Supervised KNN.mp4 -
193 6 Supervised SVM.mp4 -
194 7 Supervised Decision Trees.mp4 -
195 8 Supervised Random Forests.mp4 -
196 9 Supervised Gradient Boosting.mp4 -
197 10 Supervised Naive Bayes.mp4 -
198 11 Unsup. K-Means Clustering.mp4 -
199 12 Unsup. Hierarchical Clustering.mp4 -
200 13 Unsupervised DBSCAN.mp4 -
201 14 Unsupervised GMM.mp4 -
202 15 Unsupervised PCA.mp4 -
203 16 Unsup. t-Distributed Stochastic.mp4 -
204 17 Unsupervised Autoencoders.mp4 -
205 18 Self-Training.mp4 -
206 19 Q-Learning.mp4 -
207 20 Deep Q-Networks (DQN).mp4 -
208 21 Policy Gradient Methods.mp4 -
209 22 One-Class SVM.mp4 -
210 23 Isolation Forest.mp4 -
211 24 CNNs.mp4 -
212 25 RNNs.mp4 -
213 26 LSTM.mp4 -
214 27 Transformers.mp4 -
018 Intro Week 3 Mathematics for Machine Learning.mp4 -
019 Day 1 Linear Algebra Fundamentals.mp4 -
020 Day 2 Advanced Linear Algebra Concepts.mp4 -
021 Day 3 Calculus for Machine Learning (Derivatives).mp4 -
022 Day 4 Calculus (Integrals and Optimization).mp4 -
023 Day 5 Probability Theory, Distributions.mp4 -
024 Day 6 Statistics Fundamentals.mp4 -
025 Day 7 Math-Driven Mini Proj – Linear Regression.mp4 -
026 Intro Week 4 Probability and Statistics.mp4 -
027 Day 1 Probability Theory and Random Variables.mp4 -
028 Day 2 Probability Distributions in Machine Learning.mp4 -
029 Day 3 Stat Inference - Estimation, Confidence Intervals.mp4 -
030 Day 4 Hypothesis Testing and P-Values.mp4 -
031 Day 5 Types of Hypothesis Tests.mp4 -
032 Day 6 Correlation and Regression Analysis.mp4 -
033 Day 7 Stat Analysis Proj – Analyzing Real-World Data.mp4 -
034 Intro Week 5 Machine Learning.mp4 -
035 Day 1 Machine Learning Basics, Terminology.mp4 -
036 Day 2 Intro Supervised Learning, Regress Model.mp4 -
037 Day 3 Adv Regression – Polynomial Regularization.mp4 -
038 Day 4 Intro Classification and Logistic Regression.mp4 -
039 Day 5 Model Evaluation and Cross-Validation.mp4 -
040 Day 6 k-Nearest Neighbors (k-NN) Algorithm.mp4 -
041 Day 7 Supervised Learning Mini Project.mp4 -
042 Intro Week 6 Feature Engineering, Model Eval.mp4 -
043 Day 1 Introduction to Feature Engineering.mp4 -
044 Day 2 Data Scaling and Normalization.mp4 -
045 Day 3 Encoding Categorical Variables.mp4 -
046 Day 4 Feature Selection Techniques.mp4 -
047 Day 5 Creating and Transforming Features.mp4 -
048 Day 6 Model Evaluation Techniques.mp4 -
049 Day 7 Cross-Validation, Hyperparameter Tun.mp4 -
050 Intro Week 7 Adv Algorithms.mp4 -
051 Day 1 Introduction to Ensemble Learning.mp4 -
052 Day 2 Bagging and Random Forests.mp4 -
053 Day 3 Boosting and Gradient Boosting.mp4 -
054 Day 4 Introduction to XGBoost.mp4 -
055 Day 5 LightGBM and CatBoost.mp4 -
056 Day 6 Handling Imbalanced Data.mp4 -
057 Day 7 Proj – Compare Models Real Dataset.mp4 -
058 Introduction to Week 8 Model Tuning and Optimization.mp4 -
059 Day 1 Introduction to Hyperparameter Tuning.mp4 -
060 Day 2 Grid Search and Random Search.mp4 -
061 Day 3 Advanced Hyperparameter Tuning with Bayesian Optimization.mp4 -
062 Day 4 Regularization Techniques for Model Optimization.mp4 -
063 Day 5 Cross-Validation and Model Evaluation Techniques.mp4 -
064 Day 6 Automated Hyperparameter Tuning with GridSearchCV and RandomizedSearchCV.mp4 -
065 Day 7 Optimization Project – Building and Tuning a Final Model.mp4 -
066 Introduction to Week 9 Neural Networks and Deep Learning Fundamentals.mp4 -
067 Day 1 Introduction to Deep Learning and Neural Networks.mp4 -
068 Day 2 Forward Propagation and Activation Functions.mp4 -
069 Day 3 Loss Functions and Backpropagation.mp4 -
070 Day 4 Gradient Descent and Optimization Techniques.mp4 -
071 Day 5 Building Neural Networks with TensorFlow and Keras.mp4 -
072 Day 6 Building Neural Networks with PyTorch.mp4 -
073 Day 7 Neural Network Project – Image Classification on CIFAR-10.mp4 -
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2025 AI Python Development Megaclass 300 Hands-on Projects -Udemy 'School of AI'.txt -
236 bytes
001 Intro Week 1 Python Prog Basics.mp4 -
2.4 MB
002 Day 1 Intro Python and Dev Setup.mp4 -
130.0 MB
003 Day 2 Control Flow in Python.mp4 -
222.6 MB
004 Day 3 Functions and Modules.mp4 -
139.4 MB
005 Day 4 Data Structure List, Tuple, Dict, Set.mp4 -
200.5 MB
006 Day 5 Working with Strings.mp4 -
152.3 MB
007 Day 6 File Handling.mp4 -
148.6 MB
008 Day 7 Pythonic Code and Project Work.mp4 -
309.4 MB
009 Video ''009'' does not exist. Cont. to ''010...''.txt -
240 bytes
AIBootcamp.pdf -
2.4 MB
Code files.zip -
30.4 MB
Python100Days Code.zip -
5.4 MB
Python100Days.pdf -
524.2 KB
074 Introduction to Week 10 Convolutional Neural Networks (CNNs).mp4 -
4.2 MB
075 Day 1 Introduction to Convolutional Neural Networks.mp4 -
212.8 MB
076 Day 2 Convolutional Layers and Filters.mp4 -
189.7 MB
077 Day 3 Pooling Layers and Dimensionality Reduction.mp4 -
210.6 MB
078 Day 4 Building CNN Architectures with Keras and TensorFlow.mp4 -
142.4 MB
079 Day 5 Building CNN Architectures with PyTorch.mp4 -
204.8 MB
080 Day 6 Regularization and Data Augmentation for CNNs.mp4 -
148.7 MB
081 Day 7 CNN Project – Image Classification on Fashion MNIST or CIFAR-10.mp4 -
248.0 MB
082 Introduction to Week 11 Recurrent Neural Networks (RNNs) and Sequence Modeling.mp4 -
4.2 MB
083 Day 1 Introduction to Sequence Modeling and RNNs.mp4 -
275.1 MB
084 Day 2 Understanding RNN Architecture and Backpropagation Through Time (BPTT).mp4 -
212.9 MB
085 Day 3 Long Short-Term Memory (LSTM) Networks.mp4 -
112.6 MB
086 Day 4 Gated Recurrent Units (GRUs).mp4 -
52.7 MB
087 Day 5 Text Preprocessing and Word Embeddings for RNNs.mp4 -
207.5 MB
088 Day 6 Sequence-to-Sequence Models and Applications.mp4 -
401.4 MB
089 Day 7 RNN Project – Text Generation or Sentiment Analysis.mp4 -
156.0 MB
090 Introduction to Week 12 Transformers and Attention Mechanisms.mp4 -
4.0 MB
091 Day 1 Introduction to Attention Mechanisms.mp4 -
110.7 MB
092 Day 2 Introduction to Transformers Architecture.mp4 -
139.3 MB
093 Day 3 Self-Attention and Multi-Head Attention in Transformers.mp4 -
189.4 MB
094 Day 4 Positional Encoding and Feed-Forward Networks.mp4 -
165.8 MB
095 Day 5 Hands-On with Pre-Trained Transformers – BERT and GPT.mp4 -
168.7 MB
096 Day 6 Advanced Transformers – BERT Variants and GPT-3.mp4 -
171.3 MB
097 Day 7 Transformer Project – Text Summarization or Translation.mp4 -
155.4 MB
098 Introduction to Week 13 Transfer Learning and Fine-Tuning.mp4 -
3.2 MB
099 Day 1 Introduction to Transfer Learning.mp4 -
118.9 MB
100 Day 2 Transfer Learning in Computer Vision.mp4 -
234.4 MB
101 Day 3 Fine-Tuning Techniques in Computer Vision.mp4 -
191.4 MB
102 Day 4 Transfer Learning in NLP.mp4 -
142.4 MB
103 Day 5 Fine-Tuning Techniques in NLP.mp4 -
224.2 MB
104 Day 6 Domain Adaptation and Transfer Learning Challenges.mp4 -
128.5 MB
105 Day 7 Transfer Learning Project – Fine-Tuning for a Custom Task.mp4 -
154.2 MB
106 Learn Python from Scratch - Quick Tutorial.mp4 -
180.0 MB
107 Day 1 Welcome Message Generator Print Statements & Hello World.mp4 -
70.7 MB
108 Day 2 Personalized Greeting Program Variables & Data Types.mp4 -
76.6 MB
109 Day 3 Simple Calculator User Input & String Formatting.mp4 -
81.9 MB
110 Day 4 Number Comparison Tool If-Else Statements.mp4 -
74.7 MB
111 Day 5 Countdown Timer Loops (For & While).mp4 -
55.0 MB
112 Day 6 Basic Math Quiz Game Functions.mp4 -
99.5 MB
113 Day 7 Shopping List App Lists.mp4 -
110.4 MB
114 Day 8 Contact Book Dictionaries.mp4 -
131.1 MB
115 Day 9 Ingredient Checker Tuples & Sets.mp4 -
82.2 MB
116 Day 10 Note-Taking App File Handling.mp4 -
102.5 MB
117 Day 11 Safe Calculator Exception Handling.mp4 -
94.8 MB
118 Day 12 Temperature Converter Functions with Return Values.mp4 -
92.2 MB
119 Day 13 Student Grade Manager List Comprehensions.mp4 -
76.8 MB
120 Day 14 Random Password Generator Modules & Libraries.mp4 -
92.8 MB
121 Day 15 Recipe Viewer App Reading Files.mp4 -
101.3 MB
122 Day 16 Daily Journal Logger Writing Files.mp4 -
97.1 MB
123 Day 17 Student Report Generator CSV Files.mp4 -
95.2 MB
124 Day 18 Mini To-Do App JSON Files.mp4 -
116.8 MB
125 Day 19 Weather App using API APIs (Basics).mp4 -
116.5 MB
126 Day 20 Event Countdown Timer Dates & Time.mp4 -
97.2 MB
127 Day 21 Wikipedia Article Scraper Web Scraping.mp4 -
139.9 MB
128 Day 22 Bank Account Simulator Classes & Objects.mp4 -
132.6 MB
129 Day 23 Library Management System Constructors & Methods.mp4 -
109.5 MB
130 Day 24 Employee Management System Inheritance.mp4 -
143.8 MB
131 Day 25 Animal Sound Simulator Polymorphism.mp4 -
86.3 MB
132 Day 26 Secure User Profile App Encapsulation.mp4 -
118.4 MB
133 Day 27 Inventory Management System Static & Class Methods.mp4 -
108.6 MB
134 Day 28 Mini ATM Machine Final OOP Project.mp4 -
120.3 MB
135 Day 29 Simple GUI App Tkinter Basics.mp4 -
116.3 MB
136 Day 30 Click Counter App Buttons & Events.mp4 -
124.8 MB
137 Day 31 BMI Calculator Input Fields.mp4 -
130.0 MB
138 Day 32 Drawing Pad App Canvas Widgets.mp4 -
134.2 MB
139 Day 33 Simple Login System Message Boxes.mp4 -
115.1 MB
140 Day 34 To-Do List GUI Advanced Widgets.mp4 -
118.5 MB
141 Day 35 Expense Tracker App GUI Capstone.mp4 -
154.7 MB
142 Day 36 Hello Flask App Flask Basics.mp4 -
95.6 MB
143 Day 37 Personal Blog Website Routes & Templates.mp4 -
147.5 MB
144 Day 38 Contact Form App Forms & User Input.mp4 -
79.7 MB
145 Day 39 User Registration App Database Integration.mp4 -
127.7 MB
146 Day 40 Mini Weather API REST APIs.mp4 -
124.9 MB
147 Day 41 Deploy Flask App Deployment.mp4 -
122.0 MB
148 Day 42 Portfolio Website Flask Capstone.mp4 -
101.1 MB
010 Intro Week 2 Data Science Essentials.mp4 -
3.1 MB
011 Day 1 Intro NumPy for Numerical Computing.mp4 -
162.1 MB
012 Day 2 Advanced NumPy Operations.mp4 -
148.5 MB
013 Day 3 Intro Pandas for Data Manipulation.mp4 -
152.5 MB
014 Day 4 Data Cleaning and Prep - Pandas.mp4 -
155.8 MB
015 Day 5 Data Aggregation, Grouping in Pandas.mp4 -
99.0 MB
016 Day 6 Data Visualize, Matplotlib, Seaborn.mp4 -
221.7 MB
017 Day 7 EDA Project.mp4 -
168.5 MB
149 Day 43 Matrix Calculator NumPy.mp4 -
113.8 MB
150 Day 44 Data Cleaner Pandas.mp4 -
93.7 MB
151 Day 45 Graph Plotter Matplotlib.mp4 -
118.4 MB
152 Day 46 Sales Report Analyzer Data Analysis.mp4 -
167.7 MB
153 Day 47 Temperature Plotter Plotting Trends.mp4 -
133.4 MB
154 Day 48 Stock Price Tracker Data Scraping.mp4 -
121.7 MB
155 Day 49 COVID-19 Dashboard Capstone Project.mp4 -
145.5 MB
156 Day 50 Weather Dashboard App.mp4 -
200.6 MB
157 Day 51 Expense Tracker.mp4 -
139.9 MB
158 Day 52 File Organizer Tool.mp4 -
114.6 MB
159 Day 53 Tic-Tac-Toe Game.mp4 -
187.2 MB
160 Day 54 Mini Chatbot.mp4 -
67.6 MB
161 Day 55 Music Playlist Organizer.mp4 -
155.7 MB
162 Day 56 Personal Budget Planner.mp4 -
105.7 MB
163 Day 57 ASCII Art Generator.mp4 -
104.1 MB
164 Day 58 Pomodoro Timer.mp4 -
164.6 MB
165 Day 59 Markdown to HTML Converter.mp4 -
123.4 MB
166 Day 60 Personal Diary App.mp4 -
147.9 MB
167 Day 61 Social Media Scraper.mp4 -
94.6 MB
168 Day 62 Automated Backup Tool.mp4 -
100.0 MB
169 Day 63 Movie Recommendation System.mp4 -
115.0 MB
170 Day 64 PDF Merger Tool.mp4 -
72.7 MB
171 Day 65 Portfolio Website Backend.mp4 -
142.5 MB
172 Day 66 Flashcards Learning App.mp4 -
69.4 MB
173 Day 67 Stock Market Dashboard.mp4 -
116.1 MB
174 Day 68 Task Scheduler.mp4 -
121.9 MB
175 Day 69 Currency Converter.mp4 -
83.6 MB
176 Day 70 Data Visualizer App.mp4 -
150.4 MB
177 Day 71 Spam Email Detector.mp4 -
202.3 MB
178 Day 72 Text Sentiment Analyzer.mp4 -
84.1 MB
179 Day 73 Handwriting Digit Recognition.mp4 -
209.3 MB
180 Day 74 Voice Assistant.mp4 -
129.4 MB
181 Day 75 Face Detection App.mp4 -
133.0 MB
182 Day 76 Simple Recommendation System.mp4 -
114.0 MB
183 Day 77 AI Chatbot with NLP.mp4 -
97.8 MB
184 Day 78 Object Detection App.mp4 -
83.6 MB
185 Day 79 Language Translator Tool.mp4 -
72.2 MB
186 Day 80 Fake News Detector.mp4 -
104.5 MB
187 Intro Algorithms and in Python.mp4 -
13.8 MB
188 1 Supervised Linear Regression.mp4 -
38.3 MB
189 2 Sup. Ridge, Lasso Regression.mp4 -
51.6 MB
190 3 Supervised Polynomial Regression.mp4 -
47.0 MB
191 4 Supervised Logistic Regression.mp4 -
36.4 MB
192 5 Supervised KNN.mp4 -
40.3 MB
193 6 Supervised SVM.mp4 -
42.2 MB
194 7 Supervised Decision Trees.mp4 -
41.0 MB
195 8 Supervised Random Forests.mp4 -
40.6 MB
196 9 Supervised Gradient Boosting.mp4 -
41.7 MB
197 10 Supervised Naive Bayes.mp4 -
36.7 MB
198 11 Unsup. K-Means Clustering.mp4 -
22.8 MB
199 12 Unsup. Hierarchical Clustering.mp4 -
30.2 MB
200 13 Unsupervised DBSCAN.mp4 -
26.0 MB
201 14 Unsupervised GMM.mp4 -
28.0 MB
202 15 Unsupervised PCA.mp4 -
28.2 MB
203 16 Unsup. t-Distributed Stochastic.mp4 -
32.4 MB
204 17 Unsupervised Autoencoders.mp4 -
57.8 MB
205 18 Self-Training.mp4 -
51.9 MB
206 19 Q-Learning.mp4 -
64.4 MB
207 20 Deep Q-Networks (DQN).mp4 -
111.0 MB
208 21 Policy Gradient Methods.mp4 -
93.0 MB
209 22 One-Class SVM.mp4 -
28.9 MB
210 23 Isolation Forest.mp4 -
32.4 MB
211 24 CNNs.mp4 -
64.7 MB
212 25 RNNs.mp4 -
58.2 MB
213 26 LSTM.mp4 -
55.1 MB
214 27 Transformers.mp4 -
92.4 MB
018 Intro Week 3 Mathematics for Machine Learning.mp4 -
3.2 MB
019 Day 1 Linear Algebra Fundamentals.mp4 -
143.9 MB
020 Day 2 Advanced Linear Algebra Concepts.mp4 -
134.6 MB
021 Day 3 Calculus for Machine Learning (Derivatives).mp4 -
123.2 MB
022 Day 4 Calculus (Integrals and Optimization).mp4 -
103.5 MB
023 Day 5 Probability Theory, Distributions.mp4 -
179.1 MB
024 Day 6 Statistics Fundamentals.mp4 -
137.2 MB
025 Day 7 Math-Driven Mini Proj – Linear Regression.mp4 -
113.3 MB
026 Intro Week 4 Probability and Statistics.mp4 -
3.6 MB
027 Day 1 Probability Theory and Random Variables.mp4 -
122.7 MB
028 Day 2 Probability Distributions in Machine Learning.mp4 -
116.0 MB
029 Day 3 Stat Inference - Estimation, Confidence Intervals.mp4 -
112.7 MB
030 Day 4 Hypothesis Testing and P-Values.mp4 -
70.8 MB
031 Day 5 Types of Hypothesis Tests.mp4 -
132.7 MB
032 Day 6 Correlation and Regression Analysis.mp4 -
124.7 MB
033 Day 7 Stat Analysis Proj – Analyzing Real-World Data.mp4 -
208.4 MB
034 Intro Week 5 Machine Learning.mp4 -
3.6 MB
035 Day 1 Machine Learning Basics, Terminology.mp4 -
98.3 MB
036 Day 2 Intro Supervised Learning, Regress Model.mp4 -
100.6 MB
037 Day 3 Adv Regression – Polynomial Regularization.mp4 -
304.6 MB
038 Day 4 Intro Classification and Logistic Regression.mp4 -
187.0 MB
039 Day 5 Model Evaluation and Cross-Validation.mp4 -
112.9 MB
040 Day 6 k-Nearest Neighbors (k-NN) Algorithm.mp4 -
139.5 MB
041 Day 7 Supervised Learning Mini Project.mp4 -
227.7 MB
042 Intro Week 6 Feature Engineering, Model Eval.mp4 -
2.9 MB
043 Day 1 Introduction to Feature Engineering.mp4 -
105.9 MB
044 Day 2 Data Scaling and Normalization.mp4 -
131.7 MB
045 Day 3 Encoding Categorical Variables.mp4 -
132.1 MB
046 Day 4 Feature Selection Techniques.mp4 -
128.2 MB
047 Day 5 Creating and Transforming Features.mp4 -
140.8 MB
048 Day 6 Model Evaluation Techniques.mp4 -
117.4 MB
049 Day 7 Cross-Validation, Hyperparameter Tun.mp4 -
162.3 MB
050 Intro Week 7 Adv Algorithms.mp4 -
2.8 MB
051 Day 1 Introduction to Ensemble Learning.mp4 -
115.1 MB
052 Day 2 Bagging and Random Forests.mp4 -
107.1 MB
053 Day 3 Boosting and Gradient Boosting.mp4 -
127.2 MB
054 Day 4 Introduction to XGBoost.mp4 -
153.8 MB
055 Day 5 LightGBM and CatBoost.mp4 -
167.2 MB
056 Day 6 Handling Imbalanced Data.mp4 -
139.8 MB
057 Day 7 Proj – Compare Models Real Dataset.mp4 -
207.2 MB
058 Introduction to Week 8 Model Tuning and Optimization.mp4 -
4.2 MB
059 Day 1 Introduction to Hyperparameter Tuning.mp4 -
109.3 MB
060 Day 2 Grid Search and Random Search.mp4 -
136.1 MB
061 Day 3 Advanced Hyperparameter Tuning with Bayesian Optimization.mp4 -
245.0 MB
062 Day 4 Regularization Techniques for Model Optimization.mp4 -
116.7 MB
063 Day 5 Cross-Validation and Model Evaluation Techniques.mp4 -
102.4 MB
064 Day 6 Automated Hyperparameter Tuning with GridSearchCV and RandomizedSearchCV.mp4 -
171.3 MB
065 Day 7 Optimization Project – Building and Tuning a Final Model.mp4 -
207.9 MB
066 Introduction to Week 9 Neural Networks and Deep Learning Fundamentals.mp4 -
3.8 MB
067 Day 1 Introduction to Deep Learning and Neural Networks.mp4 -
110.7 MB
068 Day 2 Forward Propagation and Activation Functions.mp4 -
109.8 MB
069 Day 3 Loss Functions and Backpropagation.mp4 -
118.1 MB
070 Day 4 Gradient Descent and Optimization Techniques.mp4 -
180.9 MB
071 Day 5 Building Neural Networks with TensorFlow and Keras.mp4 -
153.9 MB
072 Day 6 Building Neural Networks with PyTorch.mp4 -
240.4 MB
073 Day 7 Neural Network Project – Image Classification on CIFAR-10.mp4 -
200.8 MB
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