udemy-complete-machine-learning-data-science-bootcamp-2022-2022-5-2

Project 2 Supervised Learning (Time Series Data)\ 3:37 Making Predictions 12:55 Feature Importance Engineering\ 26:45 Data Engineering Introduction 30:09 What Is Data 36:52 What Is A Data Engineer 41:13 What Is A Data Engineer 2 46:49 What Is A Data Engineer 3 51:53 What Is A Data Engineer 4 55:16 Types Of Databases 1:02:06 Optional OLTP Databases 1:13:00 Hadoop, HDFS and MapReduce 1:17:23 Apache Spark and Apache Flink 1:19:31 Kafka and Stream Processing Networks Deep Learning, Transfer Learning and TensorFlow 2\ 1:24:05 Section Overview 1:26:11 Deep Learning and Unstructured Data 1:39:47 Setting Up Google Colab 1:47:04 Google Colab Workspace 1:51:28 Uploading Project Data 1:58:20 Setting Up Our Data 2:03:01 Setting Up Our Data 2 2:04:33 Importing TensorFlow 2 2:17:17 Optional TensorFlow 2.0 Default Issue 2:20:56 Using A GPU 2:29:56 Optional GPU and Google Colab 2:34:23 Optional Reloading Colab Notebook 2:41:13 Loading Our Data Labels 2:53:17 Preparing The Images 3:05:50 Turning Data Labels Into Numbers 3:18:02 Creating Our Own Validation Set 3:27:20 Preprocess Images 3:37:46 Preprocess Images 2 3:48:46 Turning Data Into Batches 3:58:23 Turning Data Into Batches 2 4:16:18 Visualizing Our Data 4:29:00 Preparing Our Inputs and Outputs 4:35:38 Building A Deep Learning Model 4:47:21 Building A Deep Learning Model 2 4:58:14 Building A Deep Learning Model 3 5:07:20 Building A Deep Learning Model 4 5:16:32 Summarizing Our Model 5:21:24 Evaluating Our Model 5:30:51 Preventing Overfitting 5:35:11 Training Your Deep Neural Network 5:54:21 Evaluating Performance With TensorBoard 6:01:52 Make And Transform Predictions 6:16:57 Transform Predictions To Text 6:32:17 Visualizing Model Predictions 6:47:03 Visualizing And Evaluate Model Predictions 2 7:02:56 Visualizing And Evaluate Model Predictions 3 7:13:35 Saving And Loading A Trained Model 7:27:10 Training Model On Full Dataset 7:42:12 Making Predictions On Test Images 7:59:06 Submitting Model to Kaggle 8:13:21 Making Predictions On Our Images Communication How To Present Your Work\ 8:28:36 Section Overview 8:30:56 Communicating Your Work 8:34:18 Communicating With Managers 8:37:16 Communicating With Co-Workers 8:40:59 Weekend Project Principle 8:47:31 Communicating With Outside World 8:51:00 Storytelling Advice Extra Bits\ 8:54:06 What If I Don’t Have Enough Experience 9:09:09 JTS Learn to Learn 9:11:09 JTS Start With Why 9:13:53 CWD Git Github 9:31:33 CWD Git Github 2 9:48:26 Contributing To Open Source 10:03:10 Contributing To Open Source 2 Python\ 10:12:53 What Is A Programming Language 10:19:17 Python Interpreter 10:26:21 How To Run Python Code 10:31:15 Our First Python Program 10:38:58 Latest Version Of Python 10:40:57 Python 2 vs Python 3 10:47:38 Exercise How Does Python Work 10:49:48 Learning Python 10:51:53 Python Data Types 10:56:39 Numbers 11:07:49 Math Functions 11:12:18 DEVELOPER FUNDAMENTALS I 11:16:26 Operator Precedence 11:19:36 Optional bin() and complex 11:23:38 Variables 11:36:51 Expressions vs Statements 11:38:28 Augmented Assignment Operator 11:41:17 Strings 11:46:47 String Concatenation 11:48:03 Type Conversion 11:51:07 Escape Sequences 11:55:31 Formatted Strings