You will get Heart Disease Prediction using Intelligent Machine Learning Techniques
Project details
In the project, I have implemented multiple ensembles vote schemes using different combinations of best performing individual classifiers like (SVM, Deep Neural Network and Naïve Bayes). Their performances have been analyzed on the basis of Accuracy, Precision, Recall, F-measure etc. The approach has been applied on four different heart disease datasets.
What's included
| Service Tiers |
Starter
$200
|
Standard
$250
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 8 days | 5 days | 3 days |
Number of Revisions | 1 | 2 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
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Additional Revision
+$10Frequently asked questions
About Muhammad
Machine Learning Specialist | Data Scientist
Rawalpindi, Pakistan - 12:17 pm local time
- Data analysis - Ability in feature engineering, identify business issues and applying analytical techniques. Ability to deliver insights and implement action-oriented solutions to complex business problems.
- Machine learning - Professional in Deep learning, Statistical model, Supervised/Unsupervised learning, Reinforcement learning.
- Natural language processing - Expert in Chatbot, Sentiment analysis, Text summarization, Recommendation system, Entity extraction, Text classification, Tagging, Text generation
- Computer vision - Semantic segmentation, Object detection, OCR
- Time series analysis - Experienced in time series prediction, quantitative analysis and state space model
- Coding - Fluent in Python, Strong background in machine learning platforms: PyTorch, Tensorflow, Keras, Scikit-learn, lightGBM. Familiar with restful api using flask, django. Skilled in different data visualization tools
- Big Data - Strong experience in Spark, Hadoop, Docker, Kubernetes, AWS, Google Cloud.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Data cleaning and preparation
Removing missing values and outliers Proposed model for prediction