Learn Machine Learning By Building Projects
4.7 /5- Offered byEduonix
Learn Machine Learning By Building Projects at Eduonix Overview
Duration | 2 hours |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Credential | Certificate |
Learn Machine Learning By Building Projects at Eduonix Highlights
- Start instantly and learn at your own schedule.
- Lifetime Access. No Limits!
- A great course for learning Machine Learning
- Self paced Course
Learn Machine Learning By Building Projects at Eduonix Course details
- Software developers and programmers, data scientists, data analysts, robotics professionals, and computation and educational professionals, among others.
- Learn practical and pragmatic approach towards learning the technical concepts of machine learning
- Build real-world projects
- Optimize business performance, retain customers, improve conversions
- The course focuses on breaking down the important concepts, algorithms, and functions of Machine Learning. The course starts at the very beginning with the building blocks of Machine Learning and then progresses onto more complicated concepts. Each project adds to the complexity of the concepts covered in the project before it.
Learn Machine Learning By Building Projects at Eduonix Curriculum
Section 1 : Breast Cancer Detection
Intro
Breast Cancer Detection with a SVM and KNN Part 1
Breast Cancer Detection with a SVM and KNN Part 2
Section 2 : Board Game Review Prediction
Intro
Board Game Review Prediction - Building the Dataset Part 1
Board Game Review Prediction - Building the Dataset Part 2
Board Game Review Prediction - Training the Models
Section 3 : Credit Card Fraud Detection
Intro
Credit Card Fraud Detection - The Dataset
Credit Card Fraud Detection - The Algorithms
Section 4 : Stock Market Clustering
Intro
Stock Market Clustering - Building the Dataset Part 1
Stock Market Clustering - Building the Dataset Part 2
Stock Market Clustering - KMeans and PCA Part 1
Stock Market Clustering - KMeans and PCA Part 2
Section 5 : Diabetes Onset Detection
Intro
Deep Learning Grid Search - The Dataset Part 1
Deep Learning Grid Search - The Dataset Part 2
Deep Learning Grid Search - Batch Size and Epochs Part 1
Deep Learning Grid Search - Batch Size and Epochs Part 2
Deep Learning Grid Search - Learning Rate and Dropout
Deep Learning Grid Search - Initialization, Activation, and Neurons Part 1
Deep Learning Grid Search - Initialization, Activation, and Neurons Part 2
Section 6 : DNA Classification - The Dataset
Intro
DNA Classification - The Dataset Part 1
DNA Classification - The Dataset Part 2
DNA Classification - The Algorithms Part 1
DNA Classification - The Algorithms Part 2
Section 7 : Intro to Natural Language Processing
Intro
Tokenizing, Stop Words, and Stemming
Tagging, Chunking, and Named Entity Recognition
Text Classification
Section 8 : Object Recognition
Intro
Loading and Preprocessing the CIFAR10 Dataset
Building and Deploying the All-CNN Network Part 1
Building and Deploying the All-CNN Network Part 2
Section 9 : Image Super Resolution
Intro
Quality Metrics and Preprocessing Images
Image Super Resolution using Deep Learning
Section 10 : Text Classification
Intro
Feature Engineering
Deploying Sklearn Classifiers
Section 11 : KMeans
Intro
Preprocessing Images for Clustering
Evaluation and Visualization
Section 12 : PCA
Intro
The Elbow Method
PCA Compression and Visualization
Learn Machine Learning By Building Projects at Eduonix Entry Requirements
- Educational Qualifications
- Work Experience: The applicant should have a basic knowledge of Python or any programming language.
- Not mentioned
Other courses offered by Eduonix
Student Forum
Anything you would want to ask experts?
Data ScienceMachine LearningMachine Learning and Pattern RecognitionLearn Machine Learning By Building Projects