AI and Python Development Megaclass 300 plus Hands on Projects

24.89 GB | 43min 9s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 Introduction to Week 1 Python Programming Basics.mp4 (2.45 MB)
2 Day 1 Introduction to Python and Development Setup.mp4 (130.01 MB)
3 Day 2 Control Flow in Python.mp4 (222.6 MB)
4 Day 3 Functions and Modules.mp4 (139.43 MB)
5 Day 4 Data Structures (Lists, Tuples, Dictionaries, Sets).mp4 (200.54 MB)
6 Day 5 Working with Strings.mp4 (152.33 MB)
7 Day 6 File Handling.mp4 (148.56 MB)
8 Day 7 Pythonic Code and Project Work.mp4 (309.45 MB)
Test.avi (0 B)
Test.mkv (0 B)
Test.mov (0 B)
Test.mp4 (0 B)
Day1 Day28.zip (545 B)
Test.avi (163 B)
Test.mkv (163 B)
Test.mov (163 B)
Test.mp4 (163 B)
74 Introduction to Week 10 Convolutional Neural Networks (CNNs).mp4 (4.19 MB)
75 Day 1 Introduction to Convolutional Neural Networks.mp4 (212.77 MB)
76 Day 2 Convolutional Layers and Filters.mp4 (189.65 MB)
77 Day 3 Pooling Layers and Dimensionality Reduction.mp4 (210.59 MB)
78 Day 4 Building CNN Architectures with Keras and TensorFlow.mp4 (142.4 MB)
79 Day 5 Building CNN Architectures with PyTorch.mp4 (204.8 MB)
80 Day 6 Regularization and Data Augmentation for CNNs.mp4 (148.73 MB)
81 Day 7 CNN Project – Image Classification on Fashion MNIST or CIFAR-10.mp4 (247.95 MB)
82 Introduction to Week 11 Recurrent Neural Networks (RNNs) and Sequence Modeling.mp4 (4.23 MB)
83 Day 1 Introduction to Sequence Modeling and RNNs.mp4 (275.12 MB)
84 Day 2 Understanding RNN Architecture and Backpropagation Through Time (BPTT).mp4 (212.85 MB)
85 Day 3 Long Short-Term Memory (LSTM) Networks.mp4 (112.56 MB)
86 Day 4 Gated Recurrent Units (GRUs).mp4 (52.68 MB)
87 Day 5 Text Preprocessing and Word Embeddings for RNNs.mp4 (207.45 MB)
88 Day 6 Sequence-to-Sequence Models and Applications.mp4 (401.43 MB)
89 Day 7 RNN Project – Text Generation or Sentiment Analysis.mp4 (156.01 MB)
90 Introduction to Week 12 Transformers and Attention Mechanisms.mp4 (3.99 MB)
91 Day 1 Introduction to Attention Mechanisms.mp4 (110.73 MB)
92 Day 2 Introduction to Transformers Architecture.mp4 (139.34 MB)
93 Day 3 Self-Attention and Multi-Head Attention in Transformers.mp4 (189.39 MB)
94 Day 4 Positional Encoding and Feed-Forward Networks.mp4 (165.83 MB)
95 Day 5 Hands-On with Pre-Trained Transformers – BERT and GPT.mp4 (168.75 MB)
96 Day 6 Advanced Transformers – BERT Variants and GPT-3.mp4 (171.31 MB)
97 Day 7 Transformer Project – Text Summarization or Translation.mp4 (155.43 MB)
100 Day 2 Transfer Learning in Computer Vision.mp4 (234.41 MB)
101 Day 3 Fine-Tuning Techniques in Computer Vision.mp4 (191.36 MB)
102 Day 4 Transfer Learning in NLP.mp4 (142.39 MB)
103 Day 5 Fine-Tuning Techniques in NLP.mp4 (224.17 MB)
104 Day 6 Domain Adaptation and Transfer Learning Challenges.mp4 (128.48 MB)
105 Day 7 Transfer Learning Project – Fine-Tuning for a Custom Task.mp4 (154.16 MB)
98 Introduction to Week 13 Transfer Learning and Fine-Tuning.mp4 (3.21 MB)
99 Day 1 Introduction to Transfer Learning.mp4 (118.93 MB)
106 Learn Python from Scratch - Quick Tutorial.mp4 (180.04 MB)
107 Day 1 Welcome Message Generator Print Statements & Hello World.mp4 (70.69 MB)
108 Day 2 Personalized Greeting Program Variables & Data Types.mp4 (76.6 MB)
109 Day 3 Simple Calculator User Input & String Formatting.mp4 (81.89 MB)
110 Day 4 Number Comparison Tool If-Else Statements.mp4 (74.71 MB)
111 Day 5 Countdown Timer Loops (For & While).mp4 (54.97 MB)
112 Day 6 Basic Math Quiz Game Functions.mp4 (99.51 MB)
113 Day 7 Shopping List App Lists.mp4 (110.35 MB)
114 Day 8 Contact Book Dictionaries.mp4 (131.09 MB)
115 Day 9 Ingredient Checker Tuples & Sets.mp4 (82.24 MB)
116 Day 10 Note-Taking App File Handling.mp4 (102.49 MB)
117 Day 11 Safe Calculator Exception Handling.mp4 (94.83 MB)
118 Day 12 Temperature Converter Functions with Return Values.mp4 (92.21 MB)
119 Day 13 Student Grade Manager List Comprehensions.mp4 (76.85 MB)
120 Day 14 Random Password Generator Modules & Libraries.mp4 (92.78 MB)
121 Day 15 Recipe Viewer App Reading Files.mp4 (101.31 MB)
122 Day 16 Daily Journal Logger Writing Files.mp4 (97.08 MB)
123 Day 17 Student Report Generator CSV Files.mp4 (95.21 MB)
124 Day 18 Mini To-Do App JSON Files.mp4 (116.81 MB)
125 Day 19 Weather App using API APIs (Basics).mp4 (116.51 MB)
126 Day 20 Event Countdown Timer Dates & Time.mp4 (97.25 MB)
127 Day 21 Wikipedia Article Scraper Web Scraping.mp4 (139.9 MB)
128 Day 22 Bank Account Simulator Classes & Objects.mp4 (132.61 MB)
129 Day 23 Library Management System Constructors & Methods.mp4 (109.52 MB)
130 Day 24 Employee Management System Inheritance.mp4 (143.83 MB)
131 Day 25 Animal Sound Simulator Polymorphism.mp4 (86.34 MB)
132 Day 26 Secure User Profile App Encapsulation.mp4 (118.36 MB)
133 Day 27 Inventory Management System Static & Class Methods.mp4 (108.63 MB)
134 Day 28 Mini ATM Machine Final OOP Project.mp4 (120.25 MB)
135 Day 29 Simple GUI App Tkinter Basics.mp4 (116.33 MB)
136 Day 30 Click Counter App Buttons & Events.mp4 (124.81 MB)
137 Day 31 BMI Calculator Input Fields.mp4 (129.95 MB)
138 Day 32 Drawing Pad App Canvas Widgets.mp4 (134.24 MB)
139 Day 33 Simple Login System Message Boxes.mp4 (115.08 MB)
140 Day 34 To-Do List GUI Advanced Widgets.mp4 (118.52 MB)
141 Day 35 Expense Tracker App GUI Capstone.mp4 (154.73 MB)
142 Day 36 Hello Flask App Flask Basics.mp4 (95.61 MB)
143 Day 37 Personal Blog Website Routes & Templates.mp4 (147.5 MB)
144 Day 38 Contact Form App Forms & User Input.mp4 (79.71 MB)
145 Day 39 User Registration App Database Integration.mp4 (127.65 MB)
146 Day 40 Mini Weather API REST APIs.mp4 (124.91 MB)
147 Day 41 Deploy Flask App Deployment.mp4 (122.03 MB)
148 Day 42 Portfolio Website Flask Capstone.mp4 (101.13 MB)
10 Introduction to Week 2 Data Science Essentials.mp4 (3.12 MB)
11 Day 1 Introduction to NumPy for Numerical Computing.mp4 (162.05 MB)
12 Day 2 Advanced NumPy Operations.mp4 (148.45 MB)
13 Day 3 Introduction to Pandas for Data Manipulation.mp4 (152.51 MB)
14 Day 4 Data Cleaning and Preparation with Pandas.mp4 (155.8 MB)
15 Day 5 Data Aggregation and Grouping in Pandas.mp4 (98.97 MB)
16 Day 6 Data Visualization with Matplotlib and Seaborn.mp4 (221.74 MB)
17 Day 7 Exploratory Data Analysis (EDA) Project.mp4 (168.47 MB)
149 Day 43 Matrix Calculator NumPy.mp4 (113.78 MB)
150 Day 44 Data Cleaner Pandas.mp4 (93.67 MB)
151 Day 45 Graph Plotter Matplotlib.mp4 (118.36 MB)
152 Day 46 Sales Report Analyzer Data Analysis.mp4 (167.7 MB)
153 Day 47 Temperature Plotter Plotting Trends.mp4 (133.44 MB)
154 Day 48 Stock Price Tracker Data Scraping.mp4 (121.67 MB)
155 Day 49 COVID-19 Dashboard Capstone Project.mp4 (145.53 MB)
156 Day 50 Weather Dashboard App.mp4 (200.61 MB)
157 Day 51 Expense Tracker.mp4 (139.94 MB)
158 Day 52 File Organizer Tool.mp4 (114.62 MB)
159 Day 53 Tic-Tac-Toe Game.mp4 (187.23 MB)
160 Day 54 Mini Chatbot.mp4 (67.62 MB)
161 Day 55 Music Playlist Organizer.mp4 (155.75 MB)
162 Day 56 Personal Budget Planner.mp4 (105.74 MB)
163 Day 57 ASCII Art Generator.mp4 (104.14 MB)
164 Day 58 Pomodoro Timer.mp4 (164.61 MB)
165 Day 59 Markdown to HTML Converter.mp4 (123.45 MB)
166 Day 60 Personal Diary App.mp4 (147.93 MB)
167 Day 61 Social Media Scraper.mp4 (94.63 MB)
168 Day 62 Automated Backup Tool.mp4 (100.02 MB)
169 Day 63 Movie Recommendation System.mp4 (114.96 MB)
170 Day 64 PDF Merger Tool.mp4 (72.67 MB)
171 Day 65 Portfolio Website Backend.mp4 (142.49 MB)
172 Day 66 Flashcards Learning App.mp4 (69.42 MB)
173 Day 67 Stock Market Dashboard.mp4 (116.14 MB)
174 Day 68 Task Scheduler.mp4 (121.94 MB)
175 Day 69 Currency Converter.mp4 (83.64 MB)
176 Day 70 Data Visualizer App.mp4 (150.44 MB)
177 Day 71 Spam Email Detector.mp4 (202.31 MB)
178 Day 72 Text Sentiment Analyzer.mp4 (84.12 MB)
179 Day 73 Handwriting Digit Recognition.mp4 (209.33 MB)
180 Day 74 Voice Assistant.mp4 (129.41 MB)
181 Day 75 Face Detection App.mp4 (133.02 MB)
182 Day 76 Simple Recommendation System.mp4 (114.04 MB)
183 Day 77 AI Chatbot with NLP.mp4 (97.77 MB)
184 Day 78 Object Detection App.mp4 (83.64 MB)
185 Day 79 Language Translator Tool.mp4 (72.25 MB)
186 Day 80 Fake News Detector.mp4 (104.54 MB)
187 Introduction to Machine Learning Algorithms and Implementation in Python.mp4 (13.8 MB)
188 1 Supervised Learning Algorithms Linear Regression Implementation.mp4 (38.27 MB)
189 2 Supervised Learning Algorithms Ridge and Lasso Regression Implementation.mp4 (51.64 MB)
190 3 Supervised Learning Algorithms Polynomial Regression Implementation.mp4 (47.02 MB)
191 4 Supervised Learning Algorithms Logistic Regression Implementation.mp4 (36.35 MB)
192 5 Supervised Learning Algorithms K-Nearest Neighbors (KNN) Implementation.mp4 (40.31 MB)
193 6 Supervised Learning Algorithms Support Vector Machines (SVM) Implementation.mp4 (42.25 MB)
194 7 Supervised Learning Algorithms Decision Trees Implementation.mp4 (41.03 MB)
195 8 Supervised Learning Algorithms Random Forests Implementation.mp4 (40.62 MB)
196 9 Supervised Learning Algorithms Gradient Boosting Implementation.mp4 (41.67 MB)
197 10 Supervised Learning Algorithms Naive Bayes Implementation.mp4 (36.67 MB)
198 11 Unsupervised Learning Algorithms K-Means Clustering Implementation.mp4 (22.78 MB)
199 12 Unsupervised Learning Algorithms Hierarchical Clustering Implementation.mp4 (30.23 MB)
200 13 Unsupervised Learning Algorithms DBSCAN.mp4 (26 MB)
201 14 Unsupervised Learning Algorithms Gaussian Mixture Models(GMM).mp4 (28.05 MB)
202 15 Unsupervised Learning Algorithms Principal Component Analysis (PCA).mp4 (28.2 MB)
203 16 Unsupervised Learning Algo t-Distributed Stochastic Neighbor Embedding.mp4 (32.44 MB)
204 17Unsupervised Learning Algorithms Autoencoders Implementation.mp4 (57.77 MB)
205 18 Self-Training Implementation.mp4 (51.93 MB)
206 19 Q-Learning Implementation.mp4 (64.38 MB)
207 20 Deep Q-Networks (DQN) Implementation.mp4 (111 MB)
208 21 Policy Gradient Methods Implementation.mp4 (93 MB)
209 22 One-Class SVM Implementation.mp4 (28.87 MB)
210 23 Isolation Forest Implementation.mp4 (32.42 MB)
211 24 Convolutional Neural Networks (CNNs) Implementation.mp4 (64.67 MB)
212 25 Recurrent Neural Networks (RNNs) Implementation.mp4 (58.19 MB)
213 26 Long Short-Term Memory (LSTM) Implementation.mp4 (55.14 MB)
214 27 Transformers Implementation.mp4 (92.37 MB)
18 Introduction to Week 3 Mathematics for Machine Learning.mp4 (3.24 MB)
19 Day 1 Linear Algebra Fundamentals.mp4 (143.86 MB)
20 Day 2 Advanced Linear Algebra Concepts.mp4 (134.61 MB)
21 Day 3 Calculus for Machine Learning (Derivatives).mp4 (123.25 MB)
22 Day 4 Calculus for Machine Learning (Integrals and Optimization).mp4 (103.49 MB)
23 Day 5 Probability Theory and Distributions.mp4 (179.12 MB)
24 Day 6 Statistics Fundamentals.mp4 (137.2 MB)
25 Day 7 Math-Driven Mini Project – Linear Regression from Scratch.mp4 (113.3 MB)
26 Introduction to Week 4 Probability and Statistics for Machine Learning.mp4 (3.57 MB)
27 Day 1 Probability Theory and Random Variables.mp4 (122.69 MB)
28 Day 2 Probability Distributions in Machine Learning.mp4 (116.02 MB)
29 Day 3 Statistical Inference - Estimation and Confidence Intervals.mp4 (112.65 MB)
30 Day 4 Hypothesis Testing and P-Values.mp4 (70.75 MB)
31 Day 5 Types of Hypothesis Tests.mp4 (132.74 MB)
32 Day 6 Correlation and Regression Analysis.mp4 (124.73 MB)
33 Day 7 Statistical Analysis Project – Analyzing Real-World Data.mp4 (208.4 MB)
34 Introduction to Week 5 Introduction to Machine Learning.mp4 (3.62 MB)
35 Day 1 Machine Learning Basics and Terminology.mp4 (98.3 MB)
36 Day 2 Introduction to Supervised Learning and Regression Models.mp4 (100.61 MB)
37 Day 3 Advanced Regression Models – Polynomial Regression and Regularization.mp4 (304.58 MB)
38 Day 4 Introduction to Classification and Logistic Regression.mp4 (186.98 MB)
39 Day 5 Model Evaluation and Cross-Validation.mp4 (112.92 MB)
40 Day 6 k-Nearest Neighbors (k-NN) Algorithm.mp4 (139.49 MB)
41 Day 7 Supervised Learning Mini Project.mp4 (227.68 MB)
42 Introduction to Week 6 Feature Engineering and Model Evaluation.mp4 (2.94 MB)
43 Day 1 Introduction to Feature Engineering.mp4 (105.89 MB)
44 Day 2 Data Scaling and Normalization.mp4 (131.66 MB)
45 Day 3 Encoding Categorical Variables.mp4 (132.1 MB)
46 Day 4 Feature Selection Techniques.mp4 (128.21 MB)
47 Day 5 Creating and Transforming Features.mp4 (140.76 MB)
48 Day 6 Model Evaluation Techniques.mp4 (117.35 MB)
49 Day 7 Cross-Validation and Hyperparameter Tuning.mp4 (162.34 MB)
50 Introduction to Week 7 Advanced Machine Learning Algorithms.mp4 (2.81 MB)
51 Day 1 Introduction to Ensemble Learning.mp4 (115.08 MB)
52 Day 2 Bagging and Random Forests.mp4 (107.05 MB)
53 Day 3 Boosting and Gradient Boosting.mp4 (127.18 MB)
54 Day 4 Introduction to XGBoost.mp4 (153.82 MB)
55 Day 5 LightGBM and CatBoost.mp4 (167.17 MB)
56 Day 6 Handling Imbalanced Data.mp4 (139.78 MB)
57 Day 7 Ensemble Learning Project – Comparing Models on a Real Dataset.mp4 (207.19 MB)
58 Introduction to Week 8 Model Tuning and Optimization.mp4 (4.24 MB)
59 Day 1 Introduction to Hyperparameter Tuning.mp4 (109.35 MB)
60 Day 2 Grid Search and Random Search.mp4 (136.06 MB)
61 Day 3 Advanced Hyperparameter Tuning with Bayesian Optimization.mp4 (245 MB)
62 Day 4 Regularization Techniques for Model Optimization.mp4 (116.66 MB)
63 Day 5 Cross-Validation and Model Evaluation Techniques.mp4 (102.38 MB)
64 Day 6 Automated Hyperparameter Tuning with GridSearchCV and RandomizedSearchCV.mp4 (171.32 MB)
65 Day 7 Optimization Project – Building and Tuning a Final Model.mp4 (207.85 MB)
66 Introduction to Week 9 Neural Networks and Deep Learning Fundamentals.mp4 (3.75 MB)
67 Day 1 Introduction to Deep Learning and Neural Networks.mp4 (110.72 MB)
68 Day 2 Forward Propagation and Activation Functions.mp4 (109.84 MB)
69 Day 3 Loss Functions and Backpropagation.mp4 (118.05 MB)
70 Day 4 Gradient Descent and Optimization Techniques.mp4 (180.92 MB)
71 Day 5 Building Neural Networks with TensorFlow and Keras.mp4 (153.87 MB)
72 Day 6 Building Neural Networks with PyTorch.mp4 (240.38 MB)
73 Day 7 Neural Network Project – Image Classification on CIFAR-10.mp4 (200.8 MB)]
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