You will get Heart Attack prediction on the Blood Pressure Dataset
You will get Heart Attack prediction on the Blood Pressure Dataset
Project details
You have to perform a classification on provided dataset of Heart Attack prediction.
For that prediction, first of all you have to preprocess dataset and convert it into appropriate numeric form. Then you have to perform any Machine Learning model for the prediction of Label.
For that prediction, first of all you have to preprocess dataset and convert it into appropriate numeric form. Then you have to perform any Machine Learning model for the prediction of Label.
Machine Learning Tools
NumPy, pandas, Python, scikit-learnWhat's included $100
These options are included with the project scope.
$100
- Delivery Time 45 days
- Number of Revisions 1
- Number of Model Variations 3
- Number of Scenarios 1
- Number of Graphs/Charts 10
- Model Validation/Testing
- Model Documentation
- Source Code
Optional add-ons
You can add these on the next page.
Fast 30 Days Delivery
+$125
Additional Model Variation
(+ 5 Days)
+$1
Additional Graph/Chart
(+ 5 Days)
+$1Frequently asked questions
About Jiyad
Data Mining & Management | Amazon Web Services, Apache Hadoop, C#, C
Islamabad, Pakistan - 11:13 pm local time
2. Big Data Visualization like different types of graph of big data
3. Machine Learning Models like Logistic Regression, Linear Regression, Decision Making, Support Vector Machine etc.
4.Deep Learning like Artificial Neural Network, Convolutional Neural Network etc.
5. Amazon like Selling the product etc.
6. Sales Managements like managing the sales through data
7. Data Managements. Ike managing the database systems
8. Sales Prediction like predicting the sales through data
9. Area Wise Sales Prediction like predicting the sales in area wise through data
10. Business Analyst like generating the new ideas of business by analyzing through data.
11. Descriptive Analyst like summarize the information from the big data.
12. Product Analyst like choosing the best product through data by area wise and time.
13. Six Sigma Analyst like implementing the six sigma in the product as if six sigma has implement on 1 million product then there would be a chance of having a error of 3.14 pieces. It has the chance of increasing in the quality, it would gradually increase in profit.
14. Efficiency Analyst like how to increase the Efficiency of the machine and human models through data.
15. Quality Improvement of the product and man power so that this would maximizing the profit and minimizing the loss.
16. Marketing Analyst like managing the need and requirements of the customer
17. Stock Marketing Analyst like which company stock should be brought thorough data.
A problem solver Data Scientist keen to bring data to life by converting complex
data into SMART insights. Passionate for continuous learning, leading innovative projects and adapting emerging digitalization to be at the forefront of cutting edge advancements.
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4. Meme Analyzing using Deep Learning [Complete]
A multimodal deep learning approach to analyze memes text & image and modeling it as multi-label classification problem. Tools: Pytorch, Flask
5. Heart Attack Prediction (Data Science) [Complete]
Applied Machine Learning algorithms for the classification and prediction on provided dataset of Heart Attack. Tools: Python, Pandas, Numpy
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Steps for completing your project
After purchasing the project, send requirements so Jiyad can start the project.
Delivery time starts when Jiyad receives requirements from you.
Jiyad works on your project following the steps below.
Revisions may occur after the delivery date.
Machine Learning Models
Applying more than 3 Machine Learning algorithms for the prediction and apply majority voting concept for the final output. Majority voting means to take Predicted labels from all applied classifiers and assign final label according to majority vote.