This ML library should be able to easily integrate with our Java code.
Domain knowledge required :
1. Data analytics. (Amount of data to analyse will be more in real-time with the increase in statistical data)
2. Ability on Feature Construction, Data Modelling, Performance Measure, Performance Improvement, Cross Validation.
3. Choosing the right algorithm and technique that would help in ad optimisation in real-time.
4. Well performing Model so there is no under-performance as undefitting or overfitting.
I am excited to work you because that which I learnt before, I glad to collaborate with you very efficiently and I complete my work in a given time and
make sure to complete in perfect manner.
contact soon.
I have experience with multiple Machine Learning algorithms and Deep learning Methods, also doing tasks of feature engineering, data cleaning and modeling, sure that we can find the rigth implementation for the project.
Hello ,
This is Vaidhin Polisetti worked as Machine Learning Engineer for General Electric and German Aerospace center writing this proposal for building a CNN for your task. I not only deliver the task but also provide you offline support regarding to train custom datasets and evaluation of performance metrics. Along with the deployable software, I will provide you a google colab notebook which contains complete pipeline where you can test my model on custom images and you can easily made code changes if necessary.
Please contact me if my proposal looks interesting.
Best Regards,
Vaidhin.
I have hand on experience in solving Machine learning problems, as I have worked with various data sets I know how to apply best technique for a given problem.
port data sets.
Clean and prepare data for analysis.
Manipulate pandas DataFrame.
Summarize data.
Build machine learning models using scikit-learn.
Build data pipelines.
Data Analysis with Python is delivered through lecture, hands-on labs, and assignment.