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File	Size
TutsNode.com.txt	63.00 B
[TGx]Downloaded from torrentgalaxy.to .txt	585.00 B
[TutsNode.com] - AWS SageMaker Practical for Beginners/1 - Introduction, Success Tips & Best Practices and Key Learning Outcomes/01 - Course Introduction and Welcome Message.mp4	24.54 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/1 - Introduction, Success Tips & Best Practices and Key Learning Outcomes/02 - Updates on Udemy Reviews.mp4	5.93 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/1 - Introduction, Success Tips & Best Practices and Key Learning Outcomes/03 - Course Key Tips and Best Practices.mp4	51.13 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/1 - Introduction, Success Tips & Best Practices and Key Learning Outcomes/04 - Course Outline and Key Learning Outcomes.mp4	156.07 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/2 - Introduction to AI_ML, AWS and Cloud Computing/05 - AWS Free Tier Account Setup and Overview.mp4	33.02 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/2 - Introduction to AI_ML, AWS and Cloud Computing/06 - Introduction to AI, Machine Learning and Deep Learning.mp4	106.47 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/2 - Introduction to AI_ML, AWS and Cloud Computing/07 - Introduction to AI, Machine Learning and Deep Learning - Part #2.mp4	111.11 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/2 - Introduction to AI_ML, AWS and Cloud Computing/08 - Good Data Vs. Bad Data.mp4	46.46 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/2 - Introduction to AI_ML, AWS and Cloud Computing/09 - Introduction to AWS and Cloud Computing.mp4	71.38 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/2 - Introduction to AI_ML, AWS and Cloud Computing/10 - Key Machine Learning Components and AWS Management Console Tour.mp4	42.05 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/2 - Introduction to AI_ML, AWS and Cloud Computing/11 - AWS Regions and Availability Zones.mp4	57.71 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/2 - Introduction to AI_ML, AWS and Cloud Computing/12 - Amazon S3.mp4	88.88 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/2 - Introduction to AI_ML, AWS and Cloud Computing/13 - Amazon EC2 and IAM.mp4	82.78 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/2 - Introduction to AI_ML, AWS and Cloud Computing/14 - AWS SageMaker Overview.mp4	38.44 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/2 - Introduction to AI_ML, AWS and Cloud Computing/15 - AWS SageMaker Walk-through.mp4	118.16 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/2 - Introduction to AI_ML, AWS and Cloud Computing/16 - AWS SageMaker Studio Overview.mp4	47.64 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/2 - Introduction to AI_ML, AWS and Cloud Computing/17 - AWS SageMaker Studio Walk-through.mp4	77.75 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/2 - Introduction to AI_ML, AWS and Cloud Computing/18 - SageMaker Models Deployment.mp4	133.81 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/3 - Project #1 - Employee Salary Predictions Using AWS SageMaker Linear Learner/19 - Project Overview.mp4	21.34 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/3 - Project #1 - Employee Salary Predictions Using AWS SageMaker Linear Learner/20 - Simple Linear Regression Intuition.mp4	60.30 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/3 - Project #1 - Employee Salary Predictions Using AWS SageMaker Linear Learner/21 - Least Sum of Squares.mp4	52.16 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/3 - Project #1 - Employee Salary Predictions Using AWS SageMaker Linear Learner/22 - AWS SageMaker Linear Learner Overview.mp4	168.20 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/3 - Project #1 - Employee Salary Predictions Using AWS SageMaker Linear Learner/23 - Coding Task #1A - Instantiate AWS SageMaker Notebook Instance (Method #1).mp4	195.42 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/3 - Project #1 - Employee Salary Predictions Using AWS SageMaker Linear Learner/24 - Coding Task #1B - Using AWS SageMaker Studio (Method #2).mp4	88.43 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/3 - Project #1 - Employee Salary Predictions Using AWS SageMaker Linear Learner/25 - Coding Task #2 - Import Key libraries and dataset.mp4	67.48 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/3 - Project #1 - Employee Salary Predictions Using AWS SageMaker Linear Learner/26 - Coding Task #3 - Perform Exploratory Data Analysis.mp4	144.04 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/3 - Project #1 - Employee Salary Predictions Using AWS SageMaker Linear Learner/27 - Coding Task #4 - Create Training and Testing Dataset.mp4	91.98 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/3 - Project #1 - Employee Salary Predictions Using AWS SageMaker Linear Learner/28 - Coding Task #5 - Train a Linear Regression Model in SkLearn.mp4	74.29 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/3 - Project #1 - Employee Salary Predictions Using AWS SageMaker Linear Learner/29 - Coding Task #6 - Evaluate Trained Model Performance.mp4	62.73 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/3 - Project #1 - Employee Salary Predictions Using AWS SageMaker Linear Learner/30 - Coding Task #7 - Train a Linear Learner Model in AWS SageMaker.mp4	483.72 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/3 - Project #1 - Employee Salary Predictions Using AWS SageMaker Linear Learner/31 - Coding Task #8 - Deploy Model & invoke endpoint in SageMaker.mp4	125.12 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/4 - Project #2 - Medical Insurance Premium Prediction/32 - Project Overview and Introduction.mp4	11.44 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/4 - Project #2 - Medical Insurance Premium Prediction/33 - Multiple Linear Regression Intuition.mp4	20.82 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/4 - Project #2 - Medical Insurance Premium Prediction/34 - Regression Metrics and KPIs - RMSE, MSE, MAE, MAPE.mp4	83.40 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/4 - Project #2 - Medical Insurance Premium Prediction/35 - Regression Metrics and KPIs - R2 and Adjusted R2.mp4	83.01 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/4 - Project #2 - Medical Insurance Premium Prediction/36 - Coding Task #1 & #2 - Import Dataset and Key Libraries.mp4	136.07 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/4 - Project #2 - Medical Insurance Premium Prediction/37 - Coding Task #3 - Perform Exploratory Data Analysis.mp4	158.23 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/4 - Project #2 - Medical Insurance Premium Prediction/38 - Coding Task #4 - Perform Data Visualization.mp4	112.73 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/4 - Project #2 - Medical Insurance Premium Prediction/39 - Coding Task #5 - Create Training and Testing Datasets.mp4	75.77 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/4 - Project #2 - Medical Insurance Premium Prediction/40 - Coding Task #6 - Train a Machine Learning Model Locally.mp4	57.93 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/4 - Project #2 - Medical Insurance Premium Prediction/41 - Coding Task #7 - Train a Linear Learner Model in AWS SageMaker.mp4	344.44 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/4 - Project #2 - Medical Insurance Premium Prediction/42 - Coding Task #8 - Deploy Trained Model and Invoke Endpoint.mp4	111.42 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/4 - Project #2 - Medical Insurance Premium Prediction/43 - Artificial Neural Networks for Regression Tasks.mp4	70.23 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/4 - Project #2 - Medical Insurance Premium Prediction/44 - Activation Functions - Sigmoid, RELU and Tanh.mp4	20.03 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/4 - Project #2 - Medical Insurance Premium Prediction/45 - Multilayer Perceptron Networks.mp4	19.64 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/4 - Project #2 - Medical Insurance Premium Prediction/46 - How do Artificial Neural Networks Train.mp4	41.44 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/4 - Project #2 - Medical Insurance Premium Prediction/47 - Gradient Descent Algorithm.mp4	105.63 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/4 - Project #2 - Medical Insurance Premium Prediction/48 - Backpropagation Algorithm.mp4	22.82 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/4 - Project #2 - Medical Insurance Premium Prediction/49 - Coding Task #9 - Train Artificial Neural Networks for Regression Tasks.mp4	250.20 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/50 - Introduction to Case Study.mp4	73.16 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/51 - Basics - What is the difference between Bias & Variance.mp4	66.42 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/52 - Basics - L1 & L2 Regularization - Part #1.mp4	32.15 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/53 - Basics - L1 & L2 Regularization - Part #2.mp4	16.24 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/54 - Introduction to XGBoost (Extreme Gradient Boosting) algorithm.mp4	34.99 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/55 - What is Boosting.mp4	46.54 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/56 - Decision Trees and Ensemble Learning.mp4	35.98 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/57 - Gradient Boosted Trees - Deep Dive - Part #1.mp4	179.80 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/58 - Gradient Boosted Trees - Deep Dive - Part #2.mp4	76.52 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/59 - AWS SageMaker XGBoost Algorithm.mp4	55.81 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/60 - Project Introduction and Notebook Instance Instantiation.mp4	105.05 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/61 - Coding Task #1 #2 #3 - Load Dataset_Libraries and Perform Data Exploration.mp4	225.33 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/62 - Coding Task #4 - Merge and Manipulate DataFrame Using Pandas.mp4	73.62 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/63 - Coding Task #5 - Explore Merged Datasets.mp4	63.18 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/64 - Coding Task #6 #7 - Visualize Dataset.mp4	205.17 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/65 - Coding Task #8 - Prepare the Data To Perform Training.mp4	33.60 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/66 - Coding Task #9 - Train XGBoost Locally.mp4	84.81 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/67 - Coding Task #10 - Train XGBoost Using SageMaker.mp4	175.95 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/68 - Coding Task #11 - Deploy XGBoost endpoint and Make Predictions.mp4	69.15 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/69 - Coding Task #12 - Perform Hyperparameters Tuning.mp4	166.42 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/70 - Coding Task #13 - Retrain the Model Using best (optimized) Hyperparameters.mp4	97.57 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/6 - Project #4 - Predict Cardiovascular Disease Using PCA & XGBoost (Classification)/71 - Introduction and Project Overview.mp4	98.53 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/6 - Project #4 - Predict Cardiovascular Disease Using PCA & XGBoost (Classification)/72 - Principal Component Analysis (PCA) Intuition.mp4	111.75 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/6 - Project #4 - Predict Cardiovascular Disease Using PCA & XGBoost (Classification)/73 - XGBoost for Classification Tasks (Review Lecture).mp4	54.98 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/6 - Project #4 - Predict Cardiovascular Disease Using PCA & XGBoost (Classification)/74 - Confusion Matrix.mp4	53.47 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/6 - Project #4 - Predict Cardiovascular Disease Using PCA & XGBoost (Classification)/75 - Precision, Recall, and F1-Score.mp4	207.30 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/6 - Project #4 - Predict Cardiovascular Disease Using PCA & XGBoost (Classification)/76 - Area Under Curve (AUC) and Receiver Operating Characteristics (ROC) Metrics.mp4	41.98 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/6 - Project #4 - Predict Cardiovascular Disease Using PCA & XGBoost (Classification)/77 - Overfitting and Under fitting Models.mp4	20.23 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/6 - Project #4 - Predict Cardiovascular Disease Using PCA & XGBoost (Classification)/78 - Coding Task #1 - SageMaker Studio Notebook Setup.mp4	57.87 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/6 - Project #4 - Predict Cardiovascular Disease Using PCA & XGBoost (Classification)/79 - Coding Task #2 & #3 - Import Data_Libraries & Perform Exploratory data analysis.mp4	89.06 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/6 - Project #4 - Predict Cardiovascular Disease Using PCA & XGBoost (Classification)/80 - Coding Task #4 & #5 - Visualize Datasets & Prepare Training_Testing Data.mp4	90.84 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/6 - Project #4 - Predict Cardiovascular Disease Using PCA & XGBoost (Classification)/81 - Coding Task #6 - Train & Test XGboost and Perform Grid Search (Local Mode).mp4	229.01 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/6 - Project #4 - Predict Cardiovascular Disease Using PCA & XGBoost (Classification)/82 - Coding Task #7 - Train a PCA Model in AWS SageMaker.mp4	155.61 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/6 - Project #4 - Predict Cardiovascular Disease Using PCA & XGBoost (Classification)/83 - Coding Task #8 - Deploy Trained PCA Model Endpoint & Envoke endpoint.mp4	93.77 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/6 - Project #4 - Predict Cardiovascular Disease Using PCA & XGBoost (Classification)/84 - Coding Task #9 - Train XGBoost (SageMaker Built-in) to do Classification Tasks.mp4	115.47 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/6 - Project #4 - Predict Cardiovascular Disease Using PCA & XGBoost (Classification)/85 - Coding Task #10 - Deploy Endpoint, Make Inference @ Test Model.mp4	83.07 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/7 - Project #5 - Deep Learning for Traffic Sign Classification Using AWS SageMaker/86 - Project Overview and Introduction.mp4	96.80 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/7 - Project #5 - Deep Learning for Traffic Sign Classification Using AWS SageMaker/87 - What are Convolutional Neural Networks and How do they Learn - Part #1.mp4	118.08 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/7 - Project #5 - Deep Learning for Traffic Sign Classification Using AWS SageMaker/88 - What are Convolutional Neural Networks and How do they Learn - Part #2.mp4	124.29 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/7 - Project #5 - Deep Learning for Traffic Sign Classification Using AWS SageMaker/89 - How to Improve CNNs Performance.mp4	13.27 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/7 - Project #5 - Deep Learning for Traffic Sign Classification Using AWS SageMaker/90 - Confusion Matrix.mp4	40.48 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/7 - Project #5 - Deep Learning for Traffic Sign Classification Using AWS SageMaker/91 - LeNet Network Architecture.mp4	85.72 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/7 - Project #5 - Deep Learning for Traffic Sign Classification Using AWS SageMaker/92 - Request AWS SageMaker Service Limit Increase.mp4	4.99 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/7 - Project #5 - Deep Learning for Traffic Sign Classification Using AWS SageMaker/93 - Coding Part #1 #2 - Import Images and Visualize Them.mp4	157.85 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/7 - Project #5 - Deep Learning for Traffic Sign Classification Using AWS SageMaker/94 - Coding #3 #4 - Upload Training_Testing Data to S3.mp4	56.04 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/7 - Project #5 - Deep Learning for Traffic Sign Classification Using AWS SageMaker/95 - Coding Task #5 - Build and Train CNNs.mp4	206.11 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/7 - Project #5 - Deep Learning for Traffic Sign Classification Using AWS SageMaker/96 - Coding Task #6 - Deploy Trained Model Using SageMaker.mp4	70.47 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/SageMaker+Practical+Course+Package.zip	145.15 MB

Description

Description

Machine and deep learning are the hottest topics in tech! Diverse fields have adopted ML and DL techniques, from banking to healthcare, transportation to technology.

AWS is one of the most widely used ML cloud computing platforms worldwide – several Fortune 500 companies depend on AWS for their business operations.

SageMaker is a fully managed service within AWS that allows data scientists and AI practitioners to train, test, and deploy AI/ML models quickly and efficiently.

In this course, students will learn how to create AI/ML models using AWS SageMaker.

Projects will cover various topics from business, healthcare, and Tech. In this course, students will be able to master many topics in a practical way such as: (1) Data Engineering and Feature Engineering, (2) AI/ML Models selection, (3) Appropriate AWS SageMaker Algorithm selection to solve business problem, (4) AI/ML models building, training, and deployment, (5) Model optimization and Hyper-parameters tuning.

The course covers many topics such as data engineering, AWS services and algorithms, and machine/deep learning basics in a practical way:

Data engineering: Data types, key python libraries (pandas, Numpy, scikit Learn, MatplotLib, and Seaborn), data distributions and feature engineering (imputation, binning, encoding, and normalization).
AWS services and algorithms: Amazon SageMaker, Linear Learner (Regression/Classification), Amazon S3 Storage services, gradient boosted trees (XGBoost), image classification, principal component analysis (PCA), SageMaker Studio and AutoML.
Machine and deep learning basics: Types of artificial neural networks (ANNs) such as feedforward ANNs, convolutional neural networks (CNNs), activation functions (sigmoid, RELU and hyperbolic tangent), machine learning training strategies (supervised/ unsupervised), gradient descent algorithm, learning rate, backpropagation, bias, variance, bias-variance trade-off, regularization (L1 and L2), overfitting, dropout, feature detectors, pooling, batch normalization, vanishing gradient problem, confusion matrix, precision, recall, F1-score, root mean squared error (RMSE), ensemble learning, decision trees, and random forest.

We teach SageMaker’s vast range of ML and DL tools with practice-led projects. Delve into:

Project #1: Train, test and deploy simple regression model to predict employees’ salary using AWS SageMaker Linear Learner
Project #2: Train, test and deploy a multiple linear regression machine learning model to predict medical insurance premium.
Project #3: Train, test and deploy a model to predict retail store sales using XGboost regression and optimize model hyperparameters using SageMaker Hyperparameters tuning tool.
Project #4: Perform Dimensionality reduction Using SageMaker built-in PCA algorithm and build a classifier model to predict cardiovascular disease using XGBoost Classification model.
Project #5: Develop a traffic sign classifier model using Sagemaker and Tensorflow.
Project #6: Deep Dive in AWS SageMaker Studio, AutoML, and model debugging.

The course is targeted towards beginner developers and data scientists wanting to get fundamental understanding of AWS SageMaker and solve real world challenging problems. Basic knowledge of Machine Learning, python programming and AWS cloud is recommended. Here’s a list of who is this course for:

Beginners Data Science wanting to advance their careers and build their portfolio.
Seasoned consultants wanting to transform businesses by leveraging AI/ML using SageMaker.
Tech enthusiasts who are passionate and new to Data science & AI and want to gain practical experience using AWS SageMaker.

Enroll today and I look forward to seeing you inside.
Who this course is for:

AI practitioners
Aspiring data scientists
Tech enthusiasts
Data science consultants

Requirements

Basic knowledge of programming
Basic knowledge in AWS
Basic knowledge in machine learning

Last Updated 7/2020